University of Ghana http://ugspace.ug.edu.gh GENETIC DIVERSITY AND POPULATION STRUCTURE OF COWPEA (VIGNA UNGUICULATA (L.) WALP) ACCESSIONS. PEARL DZORGBENYUIE AKU ZORYEKU 10432865 A THESIS SUBMITTED TO THE UNIVERSITY OF GHANA, LEGON IN PARTIAL FULFILMENT OF THE REQUIREMENT FOR THE AWARD OF MPHIL BOTANY DEGREE. JULY, 2019 University of Ghana http://ugspace.ug.edu.gh DECLARATION I certify that, this work was carried out under the supervision of Professor I. K. Asante and Professor (Mrs.) E. T. Blay, and that this thesis does not contain any material previously published or written by another person except where due reference is made in the text, and to the best of my knowledge this work does not contain any material previously submitted for a degree or diploma in any university. ……………………. …………………….. Pearl D.A Zoryeku Date (Student) ……………………. …………………….. Prof. Isaac K. Asante Date (Supervisor) ……………………. …………………….. Prof. E.T Blay Date (Supervisor) i University of Ghana http://ugspace.ug.edu.gh DEDICATION This work is dedicated to my Supervisor, Professor Isaac K. Asante. ii University of Ghana http://ugspace.ug.edu.gh ACKNOWLEDGEMENTS I express my gratitude to God Almighty for His immeasurable grace and mercies which sustained me throughout the programme. I am deeply indebted to Professor Isaac K. Asante and Professor E. T. Blay for their supervision, guidance, insight and support. My appreciation to the Head of Department and the entire staff of the Department of Plant and Environmental Biology who in diverse ways contributed to the success of this work. I am thankful to Mrs. Felicia Oppong, Mr. Prince Owusu and Mr. James Ghansah for their technical support and assistance. I am grateful to the staff of the Ecological laboratory, University of Ghana; the Biotechnology Laboratory, University of Ghana and the Ghana Standards Authority. To my mates, Ekow Ghunney, John Kupagme and Delight Klutsey who made this journey eventful, I am really grateful. My final but not the least thanks go to my parents, Mr. Philemon Zoryeku and Madam Janet Wormenor and my siblings, Makafui Adzo Zoryeku and Deborah Yenam Zoryeku for their financial and moral support. iii University of Ghana http://ugspace.ug.edu.gh ABSTRACT The research was carried out to study diversity (phenotypic and genetic) and population structure of cowpea germplasm assembled from the DPEB and SARI. A total of 78 cowpea accessions from these two sources were used for the study. Data was collected on twelve vegetative and reproductive traits, four polyphenols, crude protein, seven mineral elements, nineteen amino acids and three SSR markers. Methanolic extracts of pulverized cowpea seeds were used to determine concentrations of polyphenols, crude protein, mineral elements and amino acids. Cowpea Descriptor of the IBPGR (1983) was used for data collection on morphological traits. Data analysis involved descriptive statistics, Fisher’s test of association, Pearson’s pairwise correlation, phenotypic and genetic diversity, Nei’s diversity of subdivided population, principal component analysis and cluster analysis. Mean percent crude protein was 13.52+0.245%. Mean sodium concentration was (35.66+0.58) x 10-3 ppm. Mean potassium concentration was 10.41+0.259 ppm. Mean concentration for magnesium was (0.288+7.69) x 10-3 ppm. Mean concentration for iron was 0.048+0.0041 ppm. Mean nickel concentration was 0.033+0.0021 ppm. Mean concentration for lead was 0.038+0.006 ppm. Mean concentration for cadmium was (7.0+2.0) x 10-4 ppm. Concentration mean for manganese was (0.0187+9.0) x 10-4 ppm. Mean concentration for zinc was (0.00402+8.34) x 10-4 ppm. Mean concentration for gallic acid was 6.97+22.94 mg/l. Mean concentration for syringic acid was 104.25+12.04 mg/l. Mean concentration for quercetin was 69.58+2.34 mg/l. Mean concentration for vanillic acid was 52.79+13.75 mg/l. Mean concentration for L-Histidine was (365.0+42.9) x 10-8 ppm. Mean glycine concentration was (260.0+50.7) x 10- 8 ppm. Mean concentration for L-Asparagine was (2400.0+360) x 10-8 ppm. Mean DL-Alpha- Alanine concentration was (2490.0+296.0) x 10-8 ppm. Mean concentration for L-Aspartic acid was 791.0 x 10-8 ppm. L-Valine mean concentration was (831.0+85.7) x 10-8 ppm. Mean iv University of Ghana http://ugspace.ug.edu.gh concentration for L-Proline was 957.0+131.0) x 10-8 ppm. L-Methionine mean concentration was (293.0+16.9) x 10-8 ppm. Isoleucine mean concentration was (841.0+15.1) x 10-8 ppm. Mean concentration of Trans-4-Hydroxy-L-Proline was (856.0+13.9) x 10-8 ppm. Mean concentration for L-Tyrosine was (6350.0+933.0) x 10-8 ppm. DL-Beta-Phenyl-Alanine mean concentration was (29840.0 +10040) x 10-8 ppm. L-Tryptophan mean concentration was (646400.0+8700) x 10-8 ppm. Six morphological traits associated significantly with source of cowpea genotype collection: Twenty-two test of associations among the twelve morphological traits were observed. A total of sixty-three significant pairwise correlations were observed among all quantitative traits. Mean total phenotypic diversity (Ht) for percent crude protein and each of the mineral elements was 0.162+0.314. Mean intra-population diversity (Hs) was 0.132+0.021. Mean phenotypic diversity among populations (Gst) was 0.187. Gene flow (Nm) among population’s estimates had a mean of 2.181. Nei’s analysis of phenotypic diversity in subdivided population for polyphenols indicated that mean total phenotypic diversity for each trait (Ht) was 0.121. Mean intra-population diversity (Hs) was 0.105. Mean phenotypic diversity among populations (Gst) was 0.434. Gene flow (Nm) estimate among population for each of the traits ranged from 1.316 to 118.498. The eight SSRs loci had frequencies that ranged from 0.067 to 0.803 and mean Nei’s genetic diversity for the SSR markers was 0.542. Population structure analysis grouped the cowpea genotypes into 4 clusters. Average distance between individual cowpea genotypes in the same cluster ranged from 0.084 to 0.26. Mean genetic differentiation among the four clusters ranged from 0.374 to 0.687. Mean gene flow ranged from 0.228 to 0.837. Eighteen cowpea genotypes were identified to be of economic importance based on concentrations of their phytochemical compounds. v University of Ghana http://ugspace.ug.edu.gh TABLE OF CONTENTS DECLARATION.......................................................................................................................................... i DEDICATION............................................................................................................................................. ii ACKNOWLEDGEMENTS ...................................................................................................................... iii ABSTRACT ................................................................................................................................................ iv TABLE OF CONTENTS .......................................................................................................................... vi LIST OF TABLES ..................................................................................................................................... ix LIST OF FIGURES ................................................................................................................................... xi CHAPTER ONE ......................................................................................................................................... 1 1.0 INTRODUCTION ........................................................................................................................... 1 1.1 Main objective ..........................................................................................................................3 1.2 Specific objectives ....................................................................................................................3 CHAPTER TWO ........................................................................................................................................ 4 2.0 LITERATURE REVIEW............................................................................................................... 4 2.1 Taxonomy and origin ................................................................................................................4 2.2 Cowpea cultivation in Ghana .....................................................................................................5 2.3 Cowpea genebanks in Ghana ....................................................................................................6 2.4 Cowpea germplasm characterization .........................................................................................7 2.4.1 Morphological characterization ................................................................................................ 7 2.4.2 DNA based characterization ..................................................................................................... 8 2.4.3 Phytochemical characterization of cowpea seeds .................................................................... 9 2.5 Population structure ............................................................................................................... 11 2.6 Diversity ................................................................................................................................. 12 CHAPTER THREE .................................................................................................................................. 13 3.0 MATERIALS AND METHODS ................................................................................................. 13 3.1 Sources of Cowpea Accessions ................................................................................................ 13 3.2 Site and Experimental Design .................................................................................................. 13 3.3 Phenotyping ........................................................................................................................... 13 3.3.1 Qualitative traits characterization.......................................................................................... 13 3.3.2 Phytochemical Characterization............................................................................................. 14 vi University of Ghana http://ugspace.ug.edu.gh 3.3.2 Phytochemical Characterization............................................................................................. 16 3.4 Genotyping ............................................................................................................................. 21 3.5.1 Morphological characterization .............................................................................................. 23 3.5.2 Phenotypic Diversity ................................................................................................................ 23 3.5.3 Population Genetic Structure of Collection ........................................................................... 23 4.0 RESULTS ............................................................................................................................................ 24 4.1 Frequency Distribution of Morphological Traits ....................................................................... 24 4.2 Phytochemical Traits ............................................................................................................... 29 4.2.1 Crude Protein ........................................................................................................................... 29 4.2.2 Mineral elements ...................................................................................................................... 30 4.2.3 Concentration Frequency distribution of Polyphenolic compounds ................................... 35 4.2.4 Concentration frequency distribution of amino acids .......................................................... 36 4.3 Distribution of mean concentrations of phytochemicals across morphological traits................. 43 4.3.1 Phenolic compounds ................................................................................................................ 43 4.3.2 Crude protein and mineral elements ...................................................................................... 53 4.3.3 Amino acids .............................................................................................................................. 75 4.4 Fisher’s Exact test of Association ............................................................................................. 87 4.4.1 Association between Source of collection and 12 morphological traits ............................... 87 4.4.2 Association among Morphological traits ............................................................................... 87 4.5 Pearson’s Correlation Among 12 Traits in Cowpea Collections. ................................................. 91 4.5.1 Correlation Among Traits in cowpea accessions from DPEB .............................................. 91 4.5.2 Correlation among traits in cowpea accessions from SARI ................................................. 91 4.5.3 Correlation among traits in the total collection .................................................................... 92 4.6 Phenotypic diversity of cowpea population ............................................................................. 99 4.6.1 Nei’s diversity index ................................................................................................................. 99 4.6.2 Nei’s analysis of phenotypic diversity in subdivided population ....................................... 106 4.7 Principal Component Analysis ............................................................................................... 109 4.7.1 Polyphenols ....................................................................................................................... 109 4.7.2 Crude protein and Mineral elements ................................................................................... 112 4.7.3 Amino acids ............................................................................................................................ 115 4.7.3 Combined traits ...................................................................................................................... 118 4.8 Cluster Analysis .................................................................................................................... 122 vii University of Ghana http://ugspace.ug.edu.gh 4.9 Genetic diversity and population structure ............................................................................ 127 4.9.1 Genetic diversity ..................................................................................................................... 127 4.9.2 Population structure .............................................................................................................. 127 4.10 Principal Component Analysis ............................................................................................. 135 4.11 Cluster analysis ................................................................................................................... 135 CHAPTER FIVE .................................................................................................................................... 140 DISCUSSION .......................................................................................................................................... 140 5.1 Morphological Characterization ............................................................................................ 140 5.2 Variability of crude protein and mineral elements ................................................................. 142 5.3 Variability of polyphenols ..................................................................................................... 143 5.4 Variability of amino acids ...................................................................................................... 143 5.5 Test of association and pairwise correlation. ......................................................................... 144 5.6 Distribution of mean concentrations of phytochemicals across morphological traits............... 145 5.7 Variability of traits in relation to source of cowpea accessions ............................................... 147 5.8 Phenotypic diversity within subdivided population ................................................................ 148 5.9 Classification of the Total Cowpea Population. ...................................................................... 148 5.10 Genetic diversity ................................................................................................................. 149 CHAPTER SIX ....................................................................................................................................... 151 CONCLUSIONS AND RECOMMENDATIONS ................................................................................ 151 6.1 Conclusions .......................................................................................................................... 151 6.2 Recommendations ................................................................................................................ 152 REFERENCES ........................................................................................................................................ 153 APPENDICES ......................................................................................................................................... 160 Appendix 1. Standard equations of Phenols and Flavonoids ....................................................... 160 Appendix 2. Morphological traits and sources of cowpea accessions ........................................... 161 Appendix 3. Sources, percent crude protein and mineral elements content (ppm) of cowpea accessions. ................................................................................................................................. 169 Appendix 4. Sources and polyphenol concentration (mg/l) of cowpea accessions ........................ 172 Appendix 5. Sources and amino acids concentration (ppm) of cowpea accessions ....................... 178 Appendix 6. Highest mean amino acids concentrations in some cowpea accessions. .................... 190 viii University of Ghana http://ugspace.ug.edu.gh LIST OF TABLES Table 1: List of Cowpea accessions used for the research Table 2: List of three cowpea SSR markers. Table 3: Frequency distribution of cowpea morphological traits. Table 4a: Population means and their standard errors of polyphenols, mineral elements and percent crude protein of cowpea genotypes Table 4b: Means and Table 5a: Population means and their standard errors of amino acids of cowpea genotypes. Table 5b: Means and their standard errors of amino acids of cowpea genotypes across source of collection. Table 6: Means and their standard errors of polyphenols of cowpea genotypes across morphological traits. Table 7: Means and their standard errors of mineral elements of cowpea genotypes across morphological traits Table 8: Means and their standard errors of amino acids of cowpea genotypes according to morphological traits Table 9: Fisher’s exact test of association between cowpea morphological traits and source of collection. Table 10: Fisher’s test of association among morphological traits of cowpea Table 11: Pearson’s correlation coefficients DPEB Table 12: Pearson’s correlation coefficients SARI Table 13: Pearson’s correlation coefficients COMBINED Table 14: Nei’s diversity indices for cowpea qualitative traits for sources of collection Table 15: Nei’s diversity indices for cowpea crude protein and mineral elements Table 16: Nei’s diversity indices for cowpea polyphenols. Table 17: Nei’s diversity indices for cowpea amino acids traits ix University of Ghana http://ugspace.ug.edu.gh Table 18: Total phenotypic diversity (Ht), mean intra-population diversity (Hs) and among population diversity (Gst) and geneflow values in cowpea accessions for crude protein and mineral element traits. Table 19: Total phenotypic diversity (Ht), mean intra-population diversity (Hs) and among population diversity (Gst) and geneflow values in cowpea accessions for polyphenols. Table 20: Principal Component Analysis among Cowpea genotypes showing the relative importance of polyphenol traits. Table 21: Principal Component Analysis among Cowpea genotypes showing the relative importance of crude protein and mineral elements traits. Table 22: Principal Component Analysis among Cowpea genotypes showing relative importance of amino acid traits. Table 23: Principal Component Analysis among Cowpea genotypes showing relative importance of the combined traits of polyphenols, amino acids, crude protein and mineral elements. Table 24: Genetic variation statistics for three cowpea SSR loci Table 25: Overall proportion of membership of the sample in each of the 4 clusters Table 26: Membership probabilities of Inferred ancestry of individual cowpea genotypes Table 27: Estimated Allele Frequencies in each cluster Table 28 Allele-frequency divergence among pops (Net nucleotide distance), computed using point estimates of P. Table 29: Average distances (expected heterozygosity) between individual cowpea genotypes in the same cluster: Table 30: Estimated mean genetic differentiation (Fst) and gene flow among the four clusters. Table 31: Principal Component Analysis among Cowpea genotypes based on polyphenol traits. x University of Ghana http://ugspace.ug.edu.gh LIST OF FIGURES Fig. 1: Scree plot of eigenvalues for cowpea polyphenols Fig.2: Scatter plot of PC1 and PC2 of cowpea for poltphenols Fig.3: Scree plot of eigenvalues of cowpea for mineral elements and crude protein. Fig. 4: Scatter plot of PC1 and PC2 of cowpea genotypes for mineral elements and crude protein Fig. 5: Scree plot of eigenvalues of cowpea genotypes for amino acids Fig. 6: Scatter plot of PC1 and PC2 of cowpea genotypes for amino acids Fig. 7: Scree plot of eigenvalues of cowpea genotypes for combined data Fig. 6: Scatter plots of PC1, P C2, PC3 and PC4 of cowpea genotypes for combined data Fig. 9: Dendrogram of cowpea genotypes for polyphenols Fig. 10: Dendrogram of cowpea genotypes for mineral elements and crude protein Fig. 11: Dendrogram of cowpea genotypes for amino acids Fig. 12: Dendrogram of cowpea genotypes for combined data Fig. 13: Population structure of cowpea genotypes in K=4 clusters. Red = cluster 1; Green = cluster 2; Yellow = cluster 3; Blue = cluster 4. Fig. 14: Scree plot of eigenvalues of cowpea genotypes for SSR markers. Fig. 15: Scatter plolts of PC1, PC2, PC3 and PC4 of cowpea gentyopes Fig. 16: Dendrogram of cowpea genotypes for SSR markers. xi University of Ghana http://ugspace.ug.edu.gh CHAPTER ONE 1.0 INTRODUCTION Cowpea is a fabaceous plant that supports the lives of several people in less developed countries in the tropics. Its protein content ranges between 18 and 29 percent. Cowpea is also rich in vitamins and minerals. It is particularly rich in folic acid, an important vitamin B that helps prevent birth defects such as neural defects in unborn babies (Hall et al., 2003). Cowpea is high in fibre and low in fat with additional health benefits. It has been reported that cowpea grain protein, like other grain legumes reduces low-density lipoproteins which are associated with heart disease, like other grain legumes (Phillips et al., 2003). Cowpea grain protein isolates have been found to have good functional properties including solubility, emulsifying and foaming activities (Rangel et al., 2004). Cowpea protein isolates can therefore serve as an alternate for soy protein isolates for people with soy protein allergies (especially infants). Cowpea grain starch is digested more slowly compared to starch from tubers and cereals, and therefore its consumption produces fewer changes in blood glucose levels (Phillips et al., 2003). Cowpea does not only serve as food for humans but it also provides hay, forage, feed and silage for livestock. Cowpea has the potential of restoring soil fertility when cultivated in rotation with cereal crops (Carsky et al., 2002; Tarawali et al., 2002; Sanginga et al., 2003). It is therefore a remarkable element of farming systems in many cowpea growing communities. It also serves as a cover crop and manure for maintaining soil productivity (Onwueme and Sinha, 1991). Worldwide production of cowpea is estimated at 4.5 million (mt) on 12 to 14 million hectares. The drier Savanna and Sahelian zones of West Africa and Central Africa contribute almost 70% of this production. In these zones the crop is intercropped with any of the following crops: pearl millet, 1 University of Ghana http://ugspace.ug.edu.gh sorghum, maize, cassava and cotton and sometimes cultivated as a sole crop (Langyintuo et al., 2003). The lower elevation areas of Eastern and Southern Africa and South America, parts of India and the Southeastern regions of North America also serve as important areas of cowpea production. The world’s largest producer and consumer of cowpea is Nigeria where annual production is over 2 million metric tonnes on 5 million hectares. Nigeria is followed by Niger (650,000 mt) and Brazil (490,000 mt) (Singh et al., 2002). Genetic diversity plays a critical role in food security and rural development. Plant breeders depend on genetic diversity to select crops or plants with desirable traits to develop new varieties. Genetic diversity research is of paramount importance for breeding as it allows researchers to know the level of diversity within germplasm. The knowledge of genetic diversity enhances the efficiency and effectiveness of cowpea improvement programs within local, regional and national germplasm collection. Genetic diversity research gives clues to genetic variation and genetic relationships among genotypes. Genetic diversity is essential to decrease crop vulnerability ensuring long-term selection gain in genetic improvement, and promotes rational use of genetic resources (Barrett and Kidwell, 1998). Such clues are important for the utilization and preservation of germplasm resources and improvement. There is the need to carry out genetic diversity research into cowpea. This is to address changing conditions, including environmental conditions, agronomic practices, climatic changes, new pest and disease threats, new knowledge of human nutritional requirements, and changing market conditions (Tan et al., 2012). 2 University of Ghana http://ugspace.ug.edu.gh 1.1 Main objective The main objective of this study was to research into the genetic diversity and population structure of cowpea accessions held at the Department of Plant and Environmental Biology (DPEB) and Savanna Agricultural Research Institute (CSIR-SARI). 1.2 Specific objectives The specific objectives of the study were to: 1. Characterize cowpea accessions by using agro-morphological and molecular markers; 2. Evaluate seed phytochemical variation among cowpea accessions; 3. Determine population structure of the cowpea accessions assembled; 4. Assess genetic diversity of the cowpea accessions assembled. 3 University of Ghana http://ugspace.ug.edu.gh CHAPTER TWO 2.0 LITERATURE REVIEW 2.1 Taxonomy and origin Cowpea belongs to the class Dicotyledonea, order Fabales, family Fabaceae, subfamily Faboideae, tribe Phaseoleae, subtribe Phaseoline, and genus Vigna (Padulosi and Ng, 1997). It is further subdivided into four cultivar groups: unguiculata, the common form, biflora or catjang, which is characterized by small erect pods, sesquipedalis, the yard-long bean characterized by its very long pods and consumed as a green bean; and textilis, which was used for fibers acquired from its long peduncles (Padulosi and Ng, 1997). The sub-species unguiculata is the most diverse of the four cultivar groups and is widely grown in Asia, Africa and Latin America (Ehlers et al., 2002). Subspecies unguiculata is the only cultivated cowpea, while the other three are wild relatives. Cowpea used to be a source of hay for cattle in the south-eastern United States and also in other parts of the world, which probably lead to its name “cowpea” (Timko et al., 2007). There have been speculations on the origin and domestication of cowpea (Vigna unguiculata [L] Walp) based on cytological and botanical evidence, information on geographical distribution as well as cultural practices and historical records (Ng and Maréchal, 1985). Several studies have shown that cowpea was probably domesticated by African farmers and is assumed to have originated in Africa, because wild cowpeas only exist in Africa and Madagascar (Steele, 1976). Although south-eastern Africa is known to be the center of diversity of wild Vigna sp, the major center of diversity of cultivated cowpea is found in West Africa (Padulosi and Ng, 1997). 4 University of Ghana http://ugspace.ug.edu.gh However, Huynh et al. (2013) reported that cowpea first moved from Western Africa to the New World with the African slaves, during the era of slave-trading, although there is little or no documentation to support the extent of the movement. Hitherto, many studies have indicated that the highest genetic diversity of primitive wild cowpea can be located within the African continent (Timko and Singh, 2008). Other researchers also believe that cowpea originated from West Africa, even though the precise location of the centre of origin of the species is rather difficult to determine. Several studies have provided further evidence that West Africa was the primary centre of domestication of cowpea. The centre of maximum diversity of cultivated cowpea is found in the following areas of West Africa: the Savana regions of Nigeria, Togo, Southern Benin, and North-West part of Cameroon (Ng and Maréchal, 1985). 2.2 Cowpea cultivation in Ghana Cowpea is cultivated in all the six agro-ecological zones of Ghana. Areas of greatest production are the Savanna zones and the margins of the semi-deciduous forest zone (Bennet-Lartey, 1991). Cultivation is mostly done by rural smallholder farmers though commercial farming of the crop is on the ascendency (Bennet-Lartey, 1991). Cowpea is considered drought and heat tolerant and usually intercropped with cassava, sorghum, millet and yams. Cowpea farming plays an important role in sustainable cropping systems in Ghana due to its ability to fix nitrogen in the soil and its socio-cultural values (Quaye et al., 2011). It fixes up to 240 kg/ha and leaves about 60–70 kg nitrogen for succeeding crops (FCDP, 2005). Landraces form the greatest proportion of cowpea varieties planted by farmers. Cowpea farmers are faced with the following five major problems associated with constraints on cropping, storage 5 University of Ghana http://ugspace.ug.edu.gh and consumption of cowpea: (1) Abiotic constraints: high soil temperatures, low soil fertility, erratic rainfall and degraded fragile soils; (2) Biotic constraints: parasitic weed, insect pests, diseases caused by viruses, fungi and nematodes; (3) Related Socio-economic and political challenges: capacity of farmer to acquire inputs is limited and poor input delivery systems (Bell and Muck, 2000). 2.3 Cowpea genebanks in Ghana Plant genebanks are very important resource centres where collections of plant materials are maintained. Plants maintained in genebanks generally include economically important food crops (Painting et al., 1995). Other types of plants maintained in genebanks include horticultural plants, forages, medicinal plants and trees. The main objectives of a national genebank include the following: (1) Long-term conservation of national plant genetic resources (2) Germplasm regeneration (3) Characterisation and evaluation work on specific germplasm and (4) Organisation of germplasm exploration and collection at a national level (Painting et al., 1995). In Ghana, the Plant Genetic Resources Research Institute (PGRRI) at Bunso is the main plant genebank with the mission to collect and conserve plant genetic resources of Ghana and those from abroad to ensure that such plants do not get extinct. PGGRI has a large collection of cowpea which is mostly landraces. However, institutes such as the Savanna Research Institute (SARI) and the relevant public universities have small cowpea gene banks. These cowpea genebank collections serves as source for selection and improvement of cowpea in Ghana. 6 University of Ghana http://ugspace.ug.edu.gh 2.4 Cowpea germplasm characterization Germplasm characterization is the documentation of traits that are distinctly identifiable and highly heritable. Such traits and their attributes are referred to as descriptors (Painting et al., 1995). A descriptor can be either qualitative or quantitative. Qualitative descriptors involve physiological, morphological and molecular (biochemical and DNA) traits. Quantitative descriptors including stress, yield and yield components, are usually influenced by environmental factors. Germplasm characterization is carried out mainly to: (i) describe accessions and establish their characteristics. (ii) classify accessions into their natural groups. (iii) assess interrelationships among accessions or among traits and among geographic groups of accessions. (iv) estimate the extent of variation in the genebank collection. (v) identify duplicates in a collection. (vi) Monitor possible genetic changes in germplasm collection (Painting et al., 1995). 2.4.1 Morphological characterization Cowpea descriptors compiled by IBPGR serves as a guide in cowpea germplasm characterization. They are primarily used by researchers for cowpea varietal characterization, estimation of genetic variability and divergence and character association in cowpea. One hundred cowpea genotypes were evaluated by Girish et al. (2001) using eleven morphological characters to quantify the genetic diversity. The hundred genotypes grouped into 11 clusters. Pandey (2007) used thirteen characters involving vegetative and floral traits to study 44 grain 7 University of Ghana http://ugspace.ug.edu.gh cowpea genotypes to quantify the genetic diversity within them. These genotypes fell into nine clusters. By using Mahalanobis (D2) statistic, Kumari et al. (2000) carried out morphological characterization of fifty genotypes of cowpea which grouped the genotypes into thirteen clusters. He found number of branches, number of seeds per pod, pod length and number of pods per cluster as important traits that caused the divergence observed. In an experiment to study ten cowpea accessions Manggoel et al. (2012) observed significant variability in these accessions by using the following traits: number of flowers per plant, days to 50 per cent flowering, grain yield, pods per plant, seeds per pod, pod length, 100-seed weight and number of peduncles per plant. 2.4.2 DNA based characterization DNA based markers are described as sites where differences in DNA sequences occur among members of the same species. They have many advantages over morphological markers because they are relatively easy to assay, highly heritable and are not influenced by the environment. DNA markers help to produce acceptable classification of taxon by assessing the level of genetic relationships. The following are examples of DNA based markers that can be differentiated into two types: hybridization based markers and PCR based markers. Restriction Fragment Length Polymorphism (RFLP) is an example of hybridization based DNA markers (Karp et al., 1997). Examples of PCR based markers are: Amplified Fragment Length Polymorphism (AFLP), Cleaved Amplified Polymorphic Sequences (CAPS), Random Amplified Polymorphic DNA (RAPD), Simple Sequence Repeat (SSR) Length Polymorphism, Inter-simple sequence repeats (ISSRs), Single Strand Conformational Polymorphism (SSCP), Heteroduplex Analysis (HA), 8 University of Ghana http://ugspace.ug.edu.gh Single Nucleotide Polymorphism (SNP), Sequence Tagged Sites (STS) and Expressed Sequenced Tags (EST) DNA- based markers have been used in cowpea research work. In a study by Zannou et al. (2008) RAPD markers were used for the evaluation of genetic diversity in 70 cowpea accessions from Benin where they observed large genetic diversity among them. Similarly, Malviya et al. (2012) used 18 sets of RAPD markers to estimate genetic diversity among 10 cowpea cultivars from India. Ba et al. (2004) also analysed 26 domesticated and 30 wild cowpea accessions from West, Eastern and Southern Africa where they observed more polymorphisms. SSR markers have been used to carry out research on cowpea from different sites especially Africa and Asia. Ogunkanmi et al. (2008) used SSR markers to prove that Africa is the centre of diversity of wild cowpea. AFLP markers have also been used for cowpea research. Coulibaly et al. (2002) applied AFLP markers to study genetic relationships within 117 cowpea accessions to find out the organization of their genetic diversity. AFLP markers were also used by Fang et al. (2007) to study genetic relationships among 60 advanced breeding lines from six breeding programs in West Africa and USA, 27 landraces from Africa, Asia and South America. Egbadzor et al. (2017) used 458 SNP to characterize 113 cowpea accessions made up of 5 from abroad and 108 from Ghana. High level of genetic diversity was observed among the accessions. Haizheng et al. (2018) also employed SNP markers for estimation of the level of genetic diversity, population structure, and phylogenetic relationships in 768 cowpea accessions collected from 56 countries. 2.4.3 Phytochemical characterization of cowpea seeds Cowpea seeds are known to be one of the main plant sources of protein in human diet. It is also a rich source of dietary fibre and carbohydrates. It is also rich in phytochemicals. Phytochemicals 9 University of Ghana http://ugspace.ug.edu.gh are bioactive compounds found in fruits, cereal grains, vegetables and plant based drinks consisting of tea and wine. They have antioxidant and free radical scavenging properties that contribute to reduction in risk of different types of chronic diseases (Zhang et al., 2015). Phytochemical characterization of cowpea seeds has shown that they have good levels of mineral elements. They also contain significant amounts of polyphenolic compounds such as simple phenols, flavonoids and tannins (Olabanji et al., 2018). Amino acids have been used to characterize cowpea accessions. Cowpea amino acid analysis by Hussain and Basahy (1998) showed the existence of at least 17 amino acids including most of the essential ones. In a study of seven cowpea varieties, Ukpene and Imade (2015) identified 18 amino acids. Qualitative phytochemical screening of seeds also showed the presence of fructose, a- glucose, P-glucose, mannitol, glycerol, inositol and some oligosaccharides, e.g. raffinose, verbascose and stachyose. Antioxidants are specific compounds that protect human, animal and plant cells against the damaging effects of free radicals. In addition, an imbalance between antioxidants and free radicals results in oxidative stress, leading to cellular damage (Kukic, 2006). Rice-Evans et al. (1997) reported that, polyphenolic compounds also have beneficial effects due to their antioxidant activity. Some phenolic compounds exist as natural antioxidants and represent an important group of bioactive compounds in foods which may prevent the development of many diseases, including cancer, arteriosclerosis (Kukic, 2006). 10 University of Ghana http://ugspace.ug.edu.gh 2.5 Population structure Natural populations are structured into sub-groups which does not permit total random mating making them genetically distinct from each other. Therefore, we get a set of individuals characterized by some measure of genetic distinction. Such genetic differences may be due to geographic ancestry. Structure in this sense refers to any deviation from random-mating, including inbreeding and assortative mating. It is important to know how much variation exists within each level of structure relative to other levels. Wright (1951) developed the following set of measures called F-statistics for departures from Hardy-Weinberg equilibrium in sub-divided populations; • Fixation index (F) as a measure of increased homozygosity • Inbreeding coefficient (FIS). This is a correlation of uniting gametes relative to gametes drawn at random from within a sub-population (Individual within the Sub-population) • FST is a measure of population sub-structure which is beneficial for analyzing the overall genetic divergence amongst sub-populations. Elements of population structure assessment include similarity and dissimilarity measure, genetic distances between individuals, clustering and differentiation among clusters or groups (Panda et al., 2015). Principal component analysis serves as a relevant and important tool for inferring population structure. It is used for the study of comparative genetic distances between individuals. It can also be used to assess differentiation among groups classified by dendrogram (Panda et al., 2015). The software STRUCTURE also employs Bayesian Clustering method to deduce population structure using genotype data consisting of unlinked markers (Khan et al., 2015). However, there are several softwares available for inferring population structure by using genotype data. 11 University of Ghana http://ugspace.ug.edu.gh 2.6 Diversity From the genetic point of view, there are two forms of diversity, namely: phenotypic and genetic diversities. The former refers to the situation where morphological markers are used to assess the diversity. Genetic diversity relates to the application of molecular markers. Genetic diversity plays a key role in the continued existence of species (Mafakheri, et al. (2017). An insight of the dynamics of genetic diversity within and among populations of species is key to the development of optimum genetic resource management strategies towards conservation, sustainable utilization and genetic improvement (Panda et al., 2015). Genetic diversity assessment is very vital to mitigate threats of environmental fluctuations. For the maximum exploitation of genetic resources in breeding programmes, knowledge about genetic diversity is paramount. Availability of genetic diversity within plant species aids in the selection of superior lines for crop improvement (Ali et al., 2007). Estimation of plant genetic resources has been done by using different types of methodologies. Such methodologies include the application of morphological, biochemical and molecular markers to estimate the level of genetic diversity. Diversity assessment has for a long time depended on morphological characterization. However molecular markers have played more reliable role in the assessment of genetic diversity in most plant species. During assessment of genetic diversity, parameters that are estimated include allele and genotypic frequencies, percentage of polymorphic bands, Nei’s genetic diversity, Shannon’s index, gene flow and Nei’s genetic differentiation index among populations. 12 University of Ghana http://ugspace.ug.edu.gh CHAPTER THREE 3.0 MATERIALS AND METHODS 3.1 Sources of Cowpea Accessions Seventy-eight cowpea accessions were used for this research (Table 1). These accessions were obtained from CSIR-Savanna Research Institute (SARI) and the Department of Plant and Environmental Biology (DPEB), University of Ghana. 3.2 Site and Experimental Design The field experiment was conducted at the West African Centre for Crop Improvement experimental plots at the University of Ghana, Legon under artificial irrigation. Cowpea accessions were planted in single row plots with 15 seeds per row at planting distance of 1 m x 1 m. 3.3 Phenotyping 3.3.1 Qualitative traits characterization The Cowpea Descriptor by the International Board of Plant Genetic Resources (1983) was used to characterize the traits. The traits studied were grouped under vegetative and reproductive parameters. Vegetative Traits: The vegetative traits scored were plant pigmentation, leaf colour, terminal leaflet shape, growth habit and leaf v-markings Reproductive Traits: Raceme position, flower bud tip colour, immature pod tip colour, main pod pigmentation, pod colour, seed coat colour and seed coat pattern were scored. 13 University of Ghana http://ugspace.ug.edu.gh 3.3.2 Phytochemical Characterization Pulverised cowpea flour was used for all phytochemical characterization. Twenty (20) cowpea seeds from each accession were pulverized and stored in the refrigerator until required. The phytochemical analyses performed were determination of crude protein, mineral elements, polyphenols and amino acids. Crude protein and mineral elements determination were carried out at the Ecological Laboratory of the Institute for Environment and Sanitation Studies, University of Ghana, Legon. Polyphenols determination was performed in the Department of Plant and Environmental Biology, while amino acids determination was done at the Pesticide Residue Laboratory, Ghana Standards Authority. 14 University of Ghana http://ugspace.ug.edu.gh Table 1: List of Cowpea accessions used for the research Accession Source Accession Source ZAAYURA SARI ASOO7 DPEB PADI TUYA SARI BAWUTA SARI APAGBAALA SARI SONGOTRA SARI ASONTEM SARI SARI-5-5-5 SARI IT07K-299-6*** SARI IT07K-298-45*** SARI SARVX-09-002 SARI IT10K-817-3*** SARI IT98K-628*** SARI IT86D-610*** SARI GOLINGA DPEB 312 DPEB SARI-6-2-6 SARI RC-04 DPEB SARVX-09-004 SARI 6824 DPEB SARVX-07-001 SARI 442 DPEB SARI-13-17-2 SARI ASOO5 DPEB RC-01 DPEB AGRAC-216 DPEB IT08K*** SARI 4223 DPEB SARI-2-50-80 SARI BOTN 003 DPEB IT08K-150-24*** SARI BOTN 007 DPEB SARI-3-11-88 SARI BOTN 002 DPEB SARI-1-50-81 SARI ASOO4 DPEB IT08K-137-1*** SARI 2213 DPEB BELEDI-B DPEB ASOO8 DPEB SARI-1-3-90 SARI ASOO9 DPEB LADUNI 1B DPEB 6312 DPEB SARI-3-11-100 SARI ASO10 DPEB IT07K-299-69*** SARI EMS 30-02 DPEB SARI-6-2-9 SARI WACCI TONI DPEB 111 DPEB ASOO6 DPEB ASOO3 DPEB F2RG009 DPEB RC-02 DPEB G41 DPEB COLMUT 10-01 DPEB G35 DPEB EMS 10-01 DPEB 422 DPEB L69 DPEB G24 DPEB 212 DPEB G84 DPEB F2RG011 DPEB G18 DPEB F2RG004 DPEB G80 DPEB RC-03 DPEB G5 DPEB F2RG007 DPEB G22 DPEB BOTN 006 DPEB G7 DPEB F2RG012 DPEB G50 DPEB F2RG010 DPEB IT98K-503-1*** SARI *** = IITA accessions 15 University of Ghana http://ugspace.ug.edu.gh 3.3.2 Phytochemical Characterization Pulverised cowpea flour was used for all phytochemical characterization. Twenty (20) cowpea seeds from each accession were pulverized and stored in the refrigerator until required. The phytochemical analyses performed were determination of crude protein, mineral elements, polyphenols and amino acids. Crude protein and mineral elements determination were carried out at the Ecological Laboratory of the Institute for Environment and Sanitation Studies, University of Ghana, Legon. Polyphenols determination was performed in the Department of Plant and Environmental Biology, while amino acids determination was done at the Pesticide Residue Laboratory, Ghana Standards Authority. 3.3.2.1 Crude Protein Determination The nitrogen content was determined by the application of a modified version of the Kjeldhal-N method (AOAC, 2000). The method involved the following three processes: digestion, distillation and titration. Digestion of samples: A measured quantity of (0.2 g) of the cowpea flour was placed in a labeled conical flask. Five millilitres of concentrated sulphuric acid was added and swirled gently to obtain a black solution which was allowed to stand for 24 hours. The solution was placed on a preheated electronic burner in a fume chamber until white fumes were observed. Drops of hydrogen peroxide were added until the solution turned colorless and allowed to cool. By filtration, the solution was transferred into a 100 ml volumetric flask and topped to the 100 ml mark with distilled water. 16 University of Ghana http://ugspace.ug.edu.gh Distillation: Five millilitres of the digested sample was measured into a 50 ml conical flask and 5 ml of boric acid solution (2%) was added to obtain a purple solution. Five millilitres of sodium hydroxide solution (40%) was gently poured into the digestion flask which was connected immediately to the distillation apparatus. A light green colour was observed at the end of the distillation process. Titration: The distillate was titrated against 0.1 M HCl until a change in colour was observed. The titre value obtained was used to calculate percentage nitrogen as follows (AOAC, 2000): 𝒕𝒊𝒕𝒓𝒆 𝒗𝒂𝒍𝒖𝒆 𝒙 𝟎.𝟎𝟏 𝒙 𝟏𝟒 𝒙 𝑽 %N = 𝟏𝟎𝟎𝟎 𝒙 𝑾 𝒙 𝒂𝒍𝒊𝒒𝒖𝒐𝒕 𝒑𝒊𝒑𝒆𝒕𝒕𝒆𝒅 where, N represents nitrogen, V represents the extraction volume (100 ml) and W represents the weight of the powdered sample (0.2 g). Percentage crude protein was obtained by the equation below. % Crude Protein = %N x 6.25 3.3.2.2 Mineral Elements Determination The Atomic Absorption Spectrophotometer (AAS) was used for the determination of the following mineral elements: Manganese (Mn), calcium (Ca), iron (Fe), copper (Cu), magnesium (Mg), sodium (Na), manganese (Mn), nickel (Ni), potassium (K), Chromium (Cr), cadmium (Cd) and lead (Pb). 17 University of Ghana http://ugspace.ug.edu.gh Absorbance values for the standard solutions were read at specific wavelengths by the AAS. Standard calibration curves were prepared for each mineral element. Absorbance values for the sample solutions were read at specific wavelengths and used to calculate the corresponding mineral elements by the formula below (AOAC, 2000): % A = 𝐴𝐴𝑆𝑟𝑒𝑎𝑑𝑖𝑛𝑔 X 𝑉 𝑋 100 1000 1000 𝑤𝑡 where, A represents the mineral element, V represents volume of sample solution wt represents the weight of the powdered sample 3.3.2.3 Polyphenols Determination Two types of polyphenols were analysed, namely phenols and flavonoids. The phenols were syringic acid, vanillic acid, gallic acid, p-coumaric acid, ferulic acid, rosmarinic acid and catechin. The flavonoids were rutin and quercetin. Methanolic extracts of the samples were obtained by pouring 20 ml of 100% methanol on 0.5 g of the sample allowing it to stand for 24 hours. The solution was filtered and the filtrate stored in tightly corked MaCartney bottles at a temperature of 4⁰C until ready for use. Preparation of standard curves for phenols: A modified method of the Folin-Ciocalteu’s method (AOAC, 2000) was used in determining the phenol content. A weighted amount of (0.5 g) of each standard compound was dissolved in 20 ml of methanol and the solution was topped to 100 ml to obtain a stock solution. Serial dilutions in the concentration range of 0-500 mg/L were prepared. Twenty microliters of each serial dilution was pipetted into separate cuvettes. A volume of 1.58 ml distilled water and 100 μl of Folin-Ciocalteu was added to each of the serial dilutions 18 University of Ghana http://ugspace.ug.edu.gh and the content was votexed. After five minutes, 300 μl of 20 % sodium carbonate solution was added and votexed. The solutions were kept in an oven for 30 minutes at 40⁰C. Absorbance values were read against the blank at the following wavelengths: 415 nm and 510 nm. The absorbance values were plotted against the corresponding concentrations from which linear regression equations were obtained as presented in Appendix 1. Preparation of standard curves for flavonoids: A modified aluminium chloride colorimetric procedure was used in determining the flavonoid content. A weighed quantity of (0.5 g) of each standard compound was dissolved in 20 ml methanol. The standard solution was diluted with 100 ml of distilled water to obtain a stock solution. Serial dilutions in the concentration range of 0- 500mg/L were prepared. Twenty microliters of each serial dilution was pipetted into separate cuvettes. Five hundred microliters of distilled water and 30 μl of 5% sodium nitrite were added. The solution was allowed to stand for 5 minutes after which 30 μl of aluminium chloride was added. The solution was allowed to stand for 6 minutes, 200 μl of sodium hydroxide and 110 μl of distilled water were then added and vortexed. The absorbance of the standard solution was read against the blank at 425 nm wavelength. The absorbance values were plotted against the corresponding concentrations from which linear regression equations were obtained as presented in Appendix 1. Determination of phenolic content: One milliliter of the methanolic extract was dispensed into a test tube and 10 ml of distilled water added. A volume of 1.58 ml distilled water and 100 μl Folin-Ciocalteu was added to each test tube and votexed. After five minutes, 300 μl of 20 % sodium carbonate solution was added and votexed again. The solutions were kept in an oven for 30 minutes at 40⁰C. The absorbance of each extract was read against the blank at wavelengths of 415 nm and 19 University of Ghana http://ugspace.ug.edu.gh 510 nm. The concentration for the phenolic compounds for each extract was determined from the standard curves of linear regression equations. Determination of flavonoid content: For each accession, 1 ml of the sample extract was pipetted into a test tube and 500 μl of distilled water added. Thirty microliters (30 μl) of 5% sodium nitrite was added and allowed to stand for five minutes and 30 μl of 10 % aluminium chloride solution was added. The solution was allowed to stand for 6 minutes after which 200 μl of 1 M sodium hydroxide and 110 μl of distilled water were added and vortexed. The absorbance values were read against the blank at 415 nm, 425 nm and 510 nm wavelengths. The flavonoids content of the sample extract was determined from the standard curves of linear regression equations. 3.3.2.4 Amino Acid Analysis The following nineteen amino acids were analysed: L-Aspartic acid, Glutamine, Glycine, L-Histidine, Isoleucine, L-Lysine, L-Cysteine, L-Methionine, DL-Beta-Phenyl-Alanine, D-Proline, L-Serine, L-Threonine, L-Tyrosine, L-Valine, DL-Alpha- Alanine, B-Threonine, Trans-4-Hydroxyl-Proline, L-Asparagine and L-Tryptophan. Sample preparation: Standard solution was prepared by weighing 2.5 mg of the standard compound into 25 ml of methanol and diluted to a concentration of 100 ppm. A mixed standard solution of 10 ppm was prepared from the stock solution which was diluted to 1ppm as the working solution. A weight of 0.5 g of cowpea flour was extracted in 20 ml of 100 % methanol. Chromatography: Column used was Agilent Poroshell 120 bonus RP 2.7 um, 2.1 x 100 mm; flow rate was 0.15 ml/min. Mobile phases were: 100 % water, 0.1 % formic acid (A) and 100 % methanol, 0.1 % formic acid (B). The gradient was 0 to 5 % B over 5 minutes and 5 to 50 % B over 15 minutes. The injection volume was 6 µL. 20 University of Ghana http://ugspace.ug.edu.gh Mass spectrometry: MS-Aligent Tripple quadrupole 6420 was used to identify and quantify the compounds. 3.4 Genotyping Genotyping was carried out at the Biotechnology Laboratory of the College of Basic and Applied Sciences, University of Ghana. Collection of leaf samples: The first trifoliate leaves of one plant per accession was harvested two weeks after planting and stored at -80o prior to DNA extraction. DNA extraction: The leaf samples were manually grinded using a micropestle. Genomic DNA was extracted using the cetyltrimethyl ammonium bromide (CTAB) method. DNA quality and quantity were checked using Nano-drop spectrophotometer. DNA was stained with a blue dye and run using 1.5% agarose gel electrophoresis. PCR amplification: Fifty cowpea derived SSR primers were screened with seven cowpea accessions to obtain optimal primer performance that showed polymorphism were selected. Three primers that showed polymorphism and reproducible band patterns were selected for the study. The sequences for the three SSR primers were as shown in the Table 2. 21 University of Ghana http://ugspace.ug.edu.gh Table 2: List of three cowpea SSR markers. Name Code Sequence SSR-6206 (F) SSR21 AGGCATGCATTCATCTTTCC SSR-6206 (R) GCAGTCATAACCCCAAAACAA SSR-6218 (F) SSR34 GTGGAAGGAATGGGTCCAG SSR-6218 (R) AGGAAATTTGCATTCCTTTGT SSR-6219 (F) SSR35 ACAATGCACAAAATGTGAATCTC SSR-6219 (R) GGGAAGCTTAGGAAAAGTTTGA PCR cocktail prepared for amplification contained the following: 2 µl template DNA, 6.25 µl master mix, 0.5 µl of primer (forward and backward), and 3.25 µl of double distilled water. The PCR tubes were placed in a thermocycler and programmed for initial denaturation at 95°C for 3 minutes, followed by 30 cycles for 30 seconds at 94°C, 30 seconds at 53°C, 2 minutes at 72°C, and final extension for 15 minutes at 72°C. Electrophoresis: The PCR product was electrophoresed in 1.5% agarose gel in TAE buffer at a voltage of 100 V for 2 hours 30 minutes. The agarose gel was stained with ethidium bromide and visualized and scored under UV. 22 University of Ghana http://ugspace.ug.edu.gh 3.5 Data analysis 3.5.1 Morphological characterization Morphological data collected were analysed using Stata 14 (StataCorp., 2015). The following analyses were performed: descriptive statistics, test for association, t-test, one-way anova, Pearson’s correlation coefficient and partial correlation. Analyses performed were based on the collection source of cowpea genotypes and a composite of the two-collection source. 3.5.2 Phenotypic Diversity Qualitative variables were coded as present (1) or absent (0). The quantitative variables were put into classes of equal intervals and assigned ordinal values. The software POPGENE version 1.32 was used to analyse for trait frequency, Nei’s genetic diversity (He) statistics (Nei, 1973) and geneflow. STATA software was used to perform principal component and cluster analyses. 3.5.3 Population Genetic Structure of Collection The dataset generated from SSR genotyping were used for population genetic structure analyses. The software STRUCTURE version 2.2. (Pritchard et al. 2000) was used to determine memberships of samples, number and membership of clusters, allele frequency distribution in the clusters, allele frequency divergence among clusters and gene flow. 23 University of Ghana http://ugspace.ug.edu.gh CHAPTER FOUR 4.0 RESULTS 4.1 Frequency Distribution of Morphological Traits The frequency distribution of the different classes of the qualitative traits is presented in Table 1. Growth habit: Growth habit had four different phenotypic classes. The total population frequency for the four phenotypic classes ranged between 1.5% (prostrate) and 64.6% (erect). Frequency distribution based on source of collection ranged from 2.5% (prostrate) to 67.5% (erect) for cowpea accessions from DPEB, while for SARI the range was between 0.00% (prostrate) and 64.6% (erect). Main pod pigmentation: Three different phenotypic classes were identified for this trait. Population frequency ranged from 1.6% (uniformly pigmented) to 11.29% (splashes of pigments). Source of collection frequency distribution for DPEB ranged from 0.00% (uniformly pigmented) to 8.3% (splashes of pigments), that for SARI ranged from 3.9% (uniformly pigmented) to 15.4% (splashes of pigments). Pod colour: There were eight different phenotypic classes for pod colour. The lowest population frequency of 1.6% was scored for four different classes and the highest of 39.1% was scored for brown. Frequency distribution for DPEB accessions ranged from 2.5% (which was scored for four different classes) to 32.50% which was scored for ligh pod colourt. Frequency distribution for SARI accessions ranged from 0.00% (for four different classes) to 75.0% for brown pod colour. 24 University of Ghana http://ugspace.ug.edu.gh Seedcoat colour: Seedcoat colour had ten different phenotypic classes. Population frequency ranged between 1.6% (scored for three different classes) and 51.6% (cream). Frequency distribution for DPEB accessions ranged from 0.00% (brick red) and 32.5% (cream), that for SARI accessions ranged from 0.00% (scored for five different classes) to 83.3% (cream). Seedcoat pattern: Seven different phenotypic classes were identified for seedcoat pattern. Frequency distribution for the total population ranged between 1.6% (scored for two different classes) and 50.0% (solid). Frequency distribution for DPEB accessions ranged between 0.00% (black eye seedcoat pattern) and 70.0% (solid) that for SARI accessions ranged between 0.00% (scored for three different classes) and 41.7% (small black eye). Leaf colour: There were three different phenotypic classes for leaf colour. Population frequency distribution ranged from 3.0% (pale green) to 80.3% (intermediate green). Frequency distribution for DPEB accessions ranged from 5.0% (pale green) to 85.0% (intermediate green), that for SARI accessions ranged between 0.0% (pale green) and 79.1% (intermediate green). 25 University of Ghana http://ugspace.ug.edu.gh Table 3: Frequency distribution of cowpea morphological traits. Frequency (%) Trait Phenotypic DPEB SARI Total Class population Growth Habit Erect 67.50 60 64.6 Prostrate 2.50 0 1.5 Semi-erect 22.50 40 29.3 Semi-prostrate 7.50 0 4.6 Main pod No pigment 91.7 80.8 87.1 pigmentation Splashes of 8.3 15.4 11.29 pigments Uniformly 0 3.9 1.6 pigmented Pod colour Brown 17.5 75 39.1 Buff 20.0 20.8 20.3 Dark brown 2.50 0 1.6 Dark mottled 2.50 0 1.6 Dark purple 2.50 0 1.6 Flesh 2.50 0 1.6 Light brown 32.50 4.2 21.9 Purple 20.0 0 12.5 Seedcoat colour Black 5.0 0 3.1 Black mottled 2.50 0 1.6 Brick red 0 8.3 3.1 Brown 17.50 4.2 12.5 Brown mottled 10.0 4.2 7.8 Cream 32.5 83.3 51.6 Dark mottled 15.0 0 9.4 Dirty white 2.5 0 1.6 Flesh 2.5 0 1.6 Red 12.5 0 7.8 26 University of Ghana http://ugspace.ug.edu.gh Table 3 cont’d Frequency (%) Trait Phenotypic Class DPEB SARI Total population Seedcoat pattern Black eye 0 25.0 9.4 Black Holstein 2.5 0 1.6 Brown eye 5.0 0 3.1 Golden eye 2.5 0 1.6 Small black eye 7.5 41.7 20.3 Small brown eye 12.5 16.7 14.1 Solid 70.0 16.7 50.0 Leaf colour Dark green 10.0 26.9 16.7 Intermediate green 85.0 79.1 80.3 Pale green 5.0 0 3.0 Plant Moderate base tip 35.0 50.0 40.9 pigmentation petiole None 7.5 3.9 6.1 Very slight 57.5 46.2 53.0 Immature pod tip Non-pigmented 54.3 62.50 57.6 colour Pigmented 45.7 37.5 42.4 V-marking Absent 59.5 100 76.2 Present 40.5 0 23.8 Raceme position Below upper 52.6 3.9 32.8 canopy In upper canopy 42.1 50.0 45.3 Mostly above 5.3 46.2 21.9 canopy Terminal leaflet Globose 44.7 15.4 32.8 shape Hastate 2.6 19.2 9.3 Sub-globose 47.4 46.2 46.9 Sub-hastate 5.3 19.2 10.9 Flower bud tip Non-pigmented 55.6 68.0 60.7 Pigmented 44.4 32.0 39.4 27 University of Ghana http://ugspace.ug.edu.gh Plant pigmentation: Three different phenotypic classes were identified for plant pigmentation. The lowest population frequency of 6.1% was scored for no pigmentation and the highest population frequency of 53.0% was scored for very slight plant pigmentation. Frequency distribution for DPEB accessions ranged from 7.5% (no pigmentation) to 57.5% (very slight pigmentation). Frequency for SARI accessions ranged from 3.9% (no pigmentation) to 50.0% (moderate base tip petiole pigmentation). Immature pod tip colour: Two different phenotypic classes were observed. Population frequency distribution ranged from 42.4% (pigmented) to 57.6% (non-pigmented). Frequency distribution for DPEB accessions ranged from 45.7% (pigmented) to 54.3% (non-pigmented) and for SARI accessions the range was between 37.5% (pigmented) to 62.5% (non-pigmented). V-marking: V-marking among the accessions existed in two phenotypic classes. The lowest population frequency of 23.8% was scored for present and the highest of 76.2% was scored for absent. Frequency distribution in the DPEB accessions ranged from 40.5% (present) to 59.5% (absent) and that for SARI accessions ranged from 0.00% (present) to 100% (absent). Raceme position: There were three phenotypic classes for this trait. Population frequency distribution ranged from 21.9% (mostly above canopy) to 45.3% (in upper canopy). Frequency for DPEB accessions ranged between 5.3% (mostly above canopy) to 52.6% (below upper canopy). Frequency for SARI accessions ranged from 3.9% (below upper canopy) to 50.0% (in upper canopy) Terminal leaflet shape: Four different phenotypic classes were observed for the trait. Population frequency distribution ranged from 9.3% (hastate) to 46.9% (sub-globose). Frequency distribution 28 University of Ghana http://ugspace.ug.edu.gh for DPEB accessions ranged from 2.6% (hastate) to 47.4% (sub-globose). Frequency for SARI accessions ranged from 15.4% (globose) to 46.2% (sub-globose). Flower bud tip: Two classes were observed for this trait. Population frequency distribution ranged from 39.4% (pigmented) to 60.7% (non-pigmented). Frequency distribution for DPEB accessions ranged from 44.4% (pigmented flower bud tip) to 55.6% (non-pigmented). Frequency distribution for SARI accessions ranged between 32.0% (pigmented) and 68.0% (non-pigmented) 4.2 Phytochemical Traits Population and sources of collection mean values and their standard errors for the phytochemical traits: crude protein, mineral elements and polyphenolic compounds are presented in Tables 4a and 4b, respectively. Appendix 1 4.2.1 Crude Protein Mean percent crude protein for the population was 13.52+0.245% which ranged from 9.63 (accession 4223) to 16.98 (accession GOLINGA). Crude protein was below detection for 12.2% of the accessions. Mean percent crude protein for DPEB accessions was 13.52+0.334% which ranged from 9.63% (accession 4223) to 16.98% (accession GOLINGA). Mean percent crude protein for SARI accessions was 14.21+0.342 which ranged from 10.33% (SARVX-09-002) to 16.8% (accession Songotra). T-test analysis showed that there was no significant mean difference between the two sources of collection (P = 0.918). 29 University of Ghana http://ugspace.ug.edu.gh 4.2.2 Mineral elements Calcium: Population mean value for calcium was 1.59+1.589 ppm. Concentration values for accessions ranged between 0.0738 ppm (accession F2RG010) and 86.2 ppm (accession EMS10- 01). Calcium was below detection in 12.2% of the accessions. Mean value for DPEB accessions was 2.705+2.609 ppm which ranged between 0.0338 ppm (accession F2RG010) and 86.21 ppm (accession EMS 10-01). Frequency distribution for SARI accessions ranged from 0.0758 ppm (accession SARVX-09-0004) to 0.2063 ppm (accession SARI-5-5-3) with a mean of 0.114+0.196 ppm. There was no significant mean difference between the two collection sources (P = 0.196). Sodium: Mean value for the population frequency was (35.66+0.58) x 10-3 ppm. Among the accessions, sodium concentrations ranged from 0.00005 ppm (scored for three different accessions) to 0.02345 ppm (accession 4223). Sodium was below detection in 18.2% of the accessions. For DPEB accessions mean value was 0.003+0.000 ppm which ranged from 0.00005 ppm to 0.0234 ppm. Within SARI accessions sodium concentration ranged between 0.00025 ppm (accession IT98K-629) and 0.01235 ppm (accession SARI-1-50-08) with a mean value of 0.005+0.000 ppm. There was no significant difference between the two collection sources for sodium content (P = 0.957). Potassium: Concentrations for the accessions ranged from 5.76 ppm (accession F2RG010) to 16.98 ppm (accession 4223) with a population mean of 10.41+0.259 ppm. Potassium was below detection in 12.2% of the accessions. Frequency distribution for DPEB accessions ranged between 5.76 ppm and 16.98 ppm with a mean of 9.82+0.350 ppm. Frequency distribution for SARI accessions ranged between 8.66 ppm and 14.99 ppm with a mean of 11.18+0.332 ppm. There was no significant mean difference between the two collection sources (P = 0.996) 30 University of Ghana http://ugspace.ug.edu.gh Table 4a: Population means and their standard errors for polyphenols, mineral elements and percent crude protein of cowpea genotypes Population Means Standard error Polyphenols (mg/l) Gallic acid 60.97 22.94 Syringic acid 104.25 12.04 Quercetin 69.58 2.34 Vanillic acid 52.79 13.75 Mineral elements (ppm) Ca 1.59 1.589 Na 3.56 x 10-3 0.58 x 10-3 K 10.405 0.259 Mg 0.288 7.69 x 10-3 Fe 0.048 0.0041 Cu nd nd Ni 0.033 0.0021 Pb 0.038 0.0059 Cd 7.0 x 10-4 2.0 x 10-4 Mn 0.0187 9.0 x 10-4 Cr 0.00168 0.00138 Zn 0.00402 8.34 x 10-4 Crude protein (%) 13.82 0.245 31 University of Ghana http://ugspace.ug.edu.gh Table 4b: Means and their standard errors for polyphenols, mineral elements and percent crude protein of cowpea genotypes across source of collection. Source of collection DPEB SARI Mean se Mean se t-test Polyphenols (mg/l) Gallic acid 87.0 37.39 21.0 3.36 0.081 Syringic acid 118.6 19.6 82.2 2.33 0.070 Quercetin 73.5 3.04 63.6 3.42 0.021 Vanillic acid 69.2 22.36 27.5 2.67 0.070 Mineral elements (ppm) Ca 2.705 2.609 0.114 0.006 0.196 Na 0.003 0.000 0.005 0.00 0.957 K 9.819 0.350 11.179 0.332 0.996 Mg 0.272 0.008 0.308 0.013 0.991 Fe 0.050 0.004 0.044 0.008 0.238 Cu Nd nd nd nd Ni 0.041 0.003 0.022 0.002 0.000 Pb 0.046 0.010 0.028 0.004 1.000 Cd 0.0003 0.0001 0.0001 0.0003 1.000 Mn 0.022 0.001 0.016 0.00 0.0002 Cr 0.002 0.001 0.00 0.00 Zn 0.005 0.001 0.002 0.00 0.017 Crude protein (%) 13.523 0.334 14.214 0.342 0.918 32 University of Ghana http://ugspace.ug.edu.gh Magnesium: Mean concentration of magnesium for the population was (0.288+7.69) x 10-3. Concentration values among accessions ranged from 0.178 ppm (accession IT86D-610) to 0.425 ppm (accession ITD8K-150-241). Magnesium was below detection in 12.2% of the accessions. Frequency distribution for accessions collected from DPEB ranged from 0.202 ppm to 0.411 ppm with a mean value of 0.272+0.008 ppm. Among accessions from SARI, frequency distribution ranged from 0.178 ppm to 0.425 ppm with a mean of 0.308+0.013 ppm. The two collection sources did not differ significantly in their mean concentrations for magnesium (P = 0.991). Iron: Mean concentration of iron for the population was 0.048+0.0041 ppm. Concentration values for the accessions ranged from 0.0012 ppm (accession SARI-6-2-6) to 0.109 ppm (accession ITO8K). Concentration values for DPEB accessions had a mean value of 0.05+0.004 ppm with a range from 0.008 ppm to 0.089 ppm and those for SARI ranged between 0.0012 ppm and 0.109 ppm with a mean of 0.044+0.008 ppm. The two collection sources did not differ significantly in their iron mean concentrations (P = 0.238). Copper: Copper was detected in only one accession (accession F2RG010) at a concentration of 0.0008 ppm. Nickel: Mean concentration of nickel for the population was 0.033+0.0021 ppm. Concentration values among accessions ranged from 0.0104 ppm (accession LADUNI B) to 0.066 ppm (COLMU10-01). Nickel was below detection in 12.2% of the accessions. Frequency distribution for accessions from DPEB ranged from 0.0104 ppm to 0.066 ppm with a mean of 0.041+0.003 ppm. Frequency distribution for accessions from SARI ranged between 0.0083 ppm and 0.032 ppm and a mean of 0.022+0.002 ppm. There was a highly significant mean difference between the two collection sources (P = 0.000). 33 University of Ghana http://ugspace.ug.edu.gh Lead: Mean concentration of lead for the population was 0.038+0.006 ppm. Concentration values ranged from 0.0003 ppm (accession G7) to 0.0201 ppm (accession AS008). Lead was below detection in 18.2% of the accessions. Among accessions from DPEB mean concentration was 0.046+0.010 ppm ranging from 0.0003 ppm to 0.0201 ppm. Concentration values for accessions from SARI ranged between 0.0007 ppm and 0.060 ppm with a mean of 0.028+0.004 ppm. The two collection sources did not differ significantly (P = 1.000). Cadmium: Mean concentration of cadmium for the population was (7.0+2.0) x 10-4 ppm. Concentration values ranged from 0.0001 ppm (accession GOLINGA) to 0.00285 ppm (accession IT08K-). Cadmium was below detection in 77.3% of the accessions. Mean frequency distribution for accessions from DPEB ranged between 0.0001 ppm and 0.0016 ppm with a mean value of (3.0+1.0) x 10-4ppm. Mean frequency distribution for accessions from SARI ranged from 0.0003 ppm to 0.00285 ppm with a mean value of (1.0+3.0) x 10-4ppm. The two collection sources did not differ significantly (P = 1.000). Manganese: Concentration mean of population for manganese was (0.0187+9.0) x 10-4. Among the accessions, concentration frequency ranged from 0.0061 ppm (accession SARI-2-50-80) to 0.0284 ppm (accession AS008). Manganese was below detection in 30.3% of the accessions. Concentration frequency distribution for accessions from DPEB ranged from 0.0093 ppm to 0.0284 ppm with a mean of 0.022+0.001 ppm. Concentration frequency distribution for accessions from SARI ranged from 0.00605 ppm to 0.026 ppm with a mean of 0.016+0.00 ppm. There was a highly significant mean difference between the collection sources (P = 0.0002). 34 University of Ghana http://ugspace.ug.edu.gh Chromium: Chromium was detected in two accessions with mean concentration values of 0.00168+0.00138 ppm ranging between 0.00305 ppm (accession G35) and 0.0033 ppm (accession G22). The two accessions were from DPEB. Zinc: Mean concentration of zinc for the population was (0.00402+8.34) x 10-4 ppm. Among accessions, concentration values ranged from 0.00155 ppm (accession G7) to 0.01315 ppm (accession G24). Zinc was below detection in 22.7% of the accessions. Concentration frequency for accessions from DPEB ranged from 0.00155 ppm to 0.01315 ppm with a mean of 0.005+0.001 ppm. Frequency for accessions from SARI ranged from 0.00075 ppm to 0.00375 ppm with a mean of 0.002+0.00 ppm. There was significant mean difference between the two collection sources (P = 0.017) 4.2.3 Concentration Frequency distribution of Polyphenolic compounds Gallic acid: Mean concentration of gallic acid for population was 6.97+22.94 mg/l. Among the accessions, concentration values ranged from 8.5 mg/l (scored for two accessions, WACCI TONI and COLMUT10-01) to 1463.5 mg/l (accession EMS10-01). Frequency distribution of gallic acid for accessions from DPEB ranged from 8.5 mg/l to 1463.5 mg/l with a mean of 87.0+37.39 mg/l. Gallic acid frequency distribution for accessions from SARI ranged between 6.0 mg/l and 98.5 mg/l with a mean of 21.0+3.36 mg/l. The two collection sources did not differ significantly (P = 0.081). Syringic acid: Mean concentration for syringic acid in population was 104.25+12.04 mg/l. Distribution of concentration values among accessions ranged between 68.4 mg/l (accession COLMUT10-01) and 795.3 mg/l (accession EMS10-01). Concentration values for accessions from 35 University of Ghana http://ugspace.ug.edu.gh DPEB ranged from 68.4 mg/l to 795.3 mg/l with a mean of 118.6+19.8 mg/l and those from SARI ranged from 74.1 mg/l to 132.8 mg/l with a mean value of 82.2+2.33 mg/l. There was no significant difference between the two collection sources (P = 0.070). Quercetin: Mean value was 69.58+2.34 m/l. Among accessions, concentration values ranged between 43.8 mg/l (accession AGRAC-216) and 122.2 mg/l (accession RC-03). Concentration values for accessions from DPEB ranged from 43.8 mg/l to 122.2 mg/l with a mean of 73.5+3.04 mg/l and those from SARI ranged between 45.5 mg/l and 112.2 mg/l with a mean value of 63.6+3.42 mg/l. The two collection sources differed significantly (P = 0.021). Vanillic acid: Mean concentration of vanillic acid for the population was 52.79+13.75 mg/l. Concentration values among accessions ranged between 11.9 mg/l (accession COLMUT10-01) and 842.6 mg/l (accession EMS10-01). Concentration values for accessions from DPEB ranged from 11.9 mg/l and 842.6 mg/l with a mean value of 69.2+22.36 mg/l. Concentration frequency distribution for accessions from SARI ranged between 18.3 mg/l and 85.4 mg/l with a mean value of 27.5+2.67 mg/l. The two collection sources did not differ significantly (P = 0.070). 4.2.4 Concentration frequency distribution of amino acids Results for mean concentration distribution of amino acids are presented in Table 5a, Table 5b and Appendix 5. L-Histidine: Mean concentration of L-Histidine for the population was (365.0+42.9) x 10-8 ppm. Frequency distribution for accessions ranged from 140.0 x 10-8 ppm (accession 312) to 17200.0 x 10-8 ppm (accession Songotra). L-Histidine was below detection for 3.0% of the accessions. Concentration values for DPEB accessions ranged from 140.0 x 10-8 ppm to 1230.0 x 10-8 ppm with a mean value of (3190.0+456.0) x 10-8 ppm while mean concentration values for accessions 36 University of Ghana http://ugspace.ug.edu.gh from SARI ranged from 310.0 x 10-8 ppm to 17200.0 x 10-8 ppm with a mean value of (4320.0+813.0) x 10-8 ppm. The two collection sources did not differ significantly (P = 0.901). Glycine: Glycine was detected in only two (3.0%) accessions. Concentration values for the two accessions were 6.1 x 10-8 ppm (accession G35) and 600.0 x 10-8 ppm (accession F2RG011) with a population mean of (260.0+50.7) x 10-8 ppm. The only two accessions were from DPEB. L-Asparagine: L-Asparagine was below detection in 80.3% of the accessions. Concentration values for accessions ranged from 82.0 x 10-8 ppm (accession SARVX-07-SARI) to 4900.0 x 10-8 ppm (accession G7) with a population mean of (2400.0+360) x 10-8 ppm. Accessions from DPEB had concentration values ranging from 390.0 x 10-8 ppm to 4900.0 x 10-8 ppm with a mean of (2890.0+467) x 10-8 ppm. SARI accessions had mean concentration value of (1280.0+342.0) x 10- 8 ppm with a range from 82.0 x 10-8 ppm to 4900.0 x 10-8 ppm. The two collection sources differed significantly in mean distribution of L-Asparagine concentration (P = 0.018). DL-Alpha-Alanine: DL-Alpha-Alanine was below detection in 24.2% of the accessions. Mean concentration for the population was (2490.0+296.0) x 10-8 ppm. Concentration values ranged from 5.80 x 10-8 ppm (accession 442) to 8800.0 x 10-8 ppm (accession G80). Mean concentration value for DPEB accessions was (2880.0+404.0) x 10-8 ppm, values ranged from 5.80 x 10-8 ppm to 8800.0 x 10-8 ppm. SARI accessions had concentration values that ranged from 110.0 x 10-8 ppm to 3900.0 x 10-8 ppm with a mean value of (1759.0+326.0) x 10-8 ppm. The two collection sources differed significantly in concentration distribution of DL-Alpha-Alanine (P = 0.035). 37 University of Ghana http://ugspace.ug.edu.gh Table 5a: Population means and their standard errors for amino acids of cowpea genotypes. (x10-8) ppm Amino Acid Mean Standard error L-Histidine 365 429 Glycine 260 50.7 L-Serine nd nd L-Cysteine nd nd L-Asparagine 2400 360 DL-Alpha-Alanine 2490 296 Glutamine nd nd L-Lysine nd nd L-Aspartic 791 71.4 B-Threonine nd nd L-Threonine nd nd L-Valine 831 85.7 D-Proline 957 131 L-Methionine 293 16.9 Iso-Leucine 841 15.1 Trans-4-Hydroxy-L-Proline 856 13.9 L-Tyrosine 6350 933 DL-Beta-Phenyl-Alanine 29840 10040 L-Tryptophan 64600 8700 38 University of Ghana http://ugspace.ug.edu.gh Table 5b: Means and their standard errors for amino acids of cowpea genotypes across source of collection. Source of collection DPEB (x10-8) SARI (x10-8) Amino Acid Mean se Mean se t-test L-Histidine 3190 456 4320 813 0.901 Glycine 260 51 nd nd 0.901 L-Serine nd nd nd nd L-Cysteine nd nd nd nd L-Asparagine 2890 467 1280 342 0.018 DL-Alpha-Alanine 2880 404 1750 326 0.035 Glutamine nd nd nd nd L-Lysine nd nd nd nd L-Aspartic 941 77.6 495 122 0.001 B-Threonine nd nd nd nd L-Threonine nd nd nd nd L-Valine 822 115 840 129 0.543 D-Proline 848 105 1150 309 0.865 L-Methionine 333 24.7 231 12.3 0.001 Iso-Leucine 805 8.08 893 32.6 0.999 Trans-4-Hydroxy-L- 823 7.37 907 30.6 0.999 Proline L-Tyrosine 6510 11.30 5810 1580 0.176 DL-Beta-PhenylAlanine 23880 7400 34660 17270 0.701 L-Tryptophan 58610 14880 70070 973 0.742 39 University of Ghana http://ugspace.ug.edu.gh L-Aspartic acid: L-Aspartic acid was detected in 77.3% of the accessions. The mean concentration value among accessions was 791.0 x 10-8 ppm. Concentration values ranged between 9.3 x 10-8 ppm (accession Apagbaala) and 1800.0 x 10-8 ppm (accession COLMUT10- 01). Mean concentration for accessions from DPEB was (941.0+77.6) x 10-8 ppm; concentration values ranged from 57.0 x 10-8 ppm to 1800.0 x 10-8 ppm. Mean concentration for SARI accessions was (495.0+112.0) x 10-8 ppm; the concentration values ranged from 9.30 x 10-8 ppm to 1700.0 x 10-8 ppm. The two collection sources showed highly significant difference in mean concentration values for L-Aspartic acid (P= 0.001). L-Valine: L-Valine was below detection in 7.6% of the accessions. Population mean was (831.0+85.7) x 10-8 ppm, concentration values ranged from 65.00 x 10-8 ppm (accession 422) to 2900.0 x 10-8 ppm (accession F2RG012). Mean concentration value of (822.0+115.0) x 10-8 ppm was recorded for DPEB accessions and values ranged from 65.00 x 10-8 ppm to 2900.0 x 10-8 ppm. Concentration values for SARI accessions ranged between 170.0 x 10-8 ppm to 2900.0 x 10-8 ppm with a mean of (840.0+120.0) x 10-8 ppm. The two collection sources did not differ in mean concentration of L-Valine (P = 0.543). L-Proline: L-Proline was detected in 84.8% of the accessions. Mean concentration for the population was 957.0+131.0) x 10-8 ppm for concentration values that ranged from 31.0 x 10-8 ppm (accession IT98K-628) to 4800.0 x 10-8 ppm (accession SARVX-09-004). Mean concentration for DPEB accessions was (848.0+105.0) x 10-8 ppm for values that ranged from 68.0 x 10-8 ppm to 2800.0 x 10-8 ppm. Mean concentration of (1150.0+309.0) x 10-8 ppm was scored for accessions from SARI for values that ranged from 31.0 x 10-8 ppm to 4800.0 x 10-8 ppm. The two collection sources did not differ in mean concentration of L-Proline (P = 0.865). 40 University of Ghana http://ugspace.ug.edu.gh L-Methionine: L-Methionine was detected in all accessions. Concentration values for the population ranged from 180.0 x 10-8 ppm (accession 422) to 780.0 x 10-8 ppm (accession F2RG011) with a population mean of (293.0+16.9) x 10-8 ppm. Concentration values for accessions from DPEB ranged from 180.0 x 10-8 ppm to 780.0 x 10-8 ppm with mean value of (333.0+24.7) x 10-8 ppm. Mean concentration for accessions from SARI was (231.0+12.3) x 10-8 ppm for concentration values that ranged from 180.0 x 10-8 ppm to 4400.0 x 10-8 ppm. The collection sources were highly significantly different in mean concentration of L-Methionine (P = 0.001). Iso-Leucine: Iso-Leucine was detected in all accessions. Concentration values ranged from 760.0 x 10-8 ppm (AGRAC-21) to 1400.0 x 10-8 ppm (accession IT07K-298-45) with a population mean of (841.0+15.1) x 10-8 ppm. A mean value of (805.0+8.08) x 10-8 ppm was scored for DPEB accessions for concentration values that ranged from 760.0 x 10-8 ppm to 1000.0 x 10-8 ppm. SARI accessions had a mean concentration value of (893.0+32.6) x 10-8 ppm. The concentration values ranged from 760.0 x 10-8 ppm to 1400.0 x 10-8 ppm. The two collection sources did not differ in mean Iso-Leucine concentration (P = 0.999). Trans-4-Hydroxy-L-Proline: Trans-4-Hydroxy-L-Proline was detected in all accessions. Concentration values for the accessions ranged from 780.0 x 10-8 ppm (accession BELEDI) to 1400.0 x 10-8 ppm (accession IT07K-298-45) with a population mean of (856.0+13.9) x 10-8 ppm. Mean concentration for DPEB accessions was (823.0+7.37) x 10-8 ppm, concentration values ranged from 780.0 x 10-8 ppm and 1000.0 x 10-8 ppm. Mean concentration for SARI accessions was (907.0+30.6) x 10-8 ppm with concentration values ranging from 780.0 x 10-8 ppm to 1400.0 x 10-8 ppm. The two collection sources did not differ in concentration values for Trans-4-Hydroxy- L-Proline (P = 0.999). 41 University of Ghana http://ugspace.ug.edu.gh L-Tyrosine: L-Tyrosine was detected in 71.2% of the accessions. Concentration values ranged between 21.0 x 10-8 ppm (accession SARI-6-2-6) and 28700.0 x 10-8 ppm (accession G80) with a mean of (6350.0+933.0) x 10-8 ppm. Mean concentration for DPEB accession was (6510.0+11.30) x 10-8 ppm for concentration values that ranged between 200.0 x 10-8 ppm and 28700.0 x 10-8 ppm. Mean concentration for SARI accessions was 5810.0+1580.0) x 10-8 ppm for concentration values that ranged from 21.0 x 10-8 ppm to 14500.0 x 10-8 ppm. The two collection sources did not differ in mean concentration values for L-Tyrosine (P = 0.701). DL-Beta-Phenyl-Alanine: DL-Beta-Phenyl-Alanine was below detection in 25.8% of the accessions studied. Concentration values for the accessions ranged between 2000.0 x 10-8 ppm (accession SARI-3-11-88) and 456600.0 x 10-8 ppm (accession SARI-6-299) with a population mean of (29840.0 +10040) x 10-8 ppm. Concentration values for DPEB accessions ranged from 1600.0 x 10-8 ppm to 152200.0 x 10-8 ppm with a mean value of (23880.0+7400.0) x 10-8 ppm. Mean concentration of DL-Beta-Phenyl-Alanine for SARI accessions was (34660.0+17270.0) x 10-8 ppm. Concentration values ranged between 2000.0 x 10-8 ppm and 456600.0 x 10-8 ppm. The two collecting sources did not differ in mean concentration of DL-Beta-Phenyl-Alanine (P = 0.701). L-Tryptophan: L-Tryptophan was below detection in 24.0% of the accessions. Population mean concentration was (646400.0+8700) x 10-8 ppm for concentration values that ranged between 8300.0 x 10-8 ppm (accession 442) and 376900.0 x 10-8 ppm (accession F2RG012). Mean concentration for accessions from DPEB was (58610.0+14880.0) x 10-8 ppm; concentration values ranged from 8300.0 x 10-8 ppm to 376900.0 x 10-8 ppm. Accessions from SARI had mean concentration value of (70070.0+0.742) x 10-8 ppm for values that ranged between 12000.0 x 10-8 42 University of Ghana http://ugspace.ug.edu.gh ppm and 227100.0 x 10-8 ppm. The two collecting sources did not differ in mean concentration of L-Tryptophan (P = 0.742). The following amino acids were below detection for all the accessions: B-Threonine, Glutamine, L-Threonine, L-Lysine, L-Serine and L-Cysteine. 4.3 Distribution of mean concentrations of phytochemicals across morphological traits 4.3.1 Phenolic compounds Mean concentrations of phenolic compounds in each of the morphological traits are presented in Table 6. Gallic Acids: Gallic acid was detected in all the 12 morphological traits analyzed. Growth habit: accessions with prostrate growth habit scored the lowest mean concentration of 14.3+0.00 mg/l, while the semi-prostrate accessions scored the highest concentration of 497.7+482.9 mg/l. Main pod pigmentation: accessions with uniformly pigmented main pod pigmentation had the lowest mean concentration of 26.0+0.00 mg/l, however those with no pigment had the highest mean concentration of 65.5+27.9 mg/l. Pod colour: among the different classes, accessions in the dark mottled class scored the lowest mean concentration of 8.5+0.00 mg/l, while those with purple pod colour scored the highest mean concentration of 253.6+180.9 mg/l. 43 University of Ghana http://ugspace.ug.edu.gh Seedcoat colour: among the classes of seed coat colour, gallic acid mean concentration ranged from 10.2+0.00 mg/l for accessions with dark white seed coat colour to 306.0+289.4 mg/l for those with brown mottled seed coat colour. Seedcoat pattern: mean concentration for seed coat pattern ranged between 8.5+0.00 mg/l, for accessions with golden eye seed coat pattern, and 99.0+46.6 mg/l for accessions with solid seed coat pattern. Leaf colour: among the leaf colour classes accessions with pale green leaf colour scored the lowest mean gallic concentration of 19.8+3.0 mg/l, while those with intermediate scored the highest mean concentration of 70.0+28.4 mg/l. Plant pigmentation: mean gallic acid concentration ranged between 16.02+1.6 mg/l for accessions with non-plant pigmentation and 85.3+53.4 mg/l for accessions with moderate base tip petiole plant pigmentation. Immature pod tip colour: the non-pigmented accessions scored a concentration mean value of 37.0+7.4 mg/l while the pigmented accessions scored the highest mean concentration of 99.9+59.4 mg/l. V-marking: mean gallic acid concentration for v-marking trait ranged from 27.0+3.4 mg/l for the absent accessions to 155.9+97.8 mg/l for the present accessions. Raceme position: mean gallic acid concentration ranged from 15.7+1.5 mg/l for the mostly above canopy accessions to 136.4+69.7 mg/l for the below upper canopy accessions. 44 University of Ghana http://ugspace.ug.edu.gh Terminal leaflet shape: cowpea accessions with hastate terminal leaflet shape scored the lowest mean gallic acid concentration of 23.7+3.7 mg/l, while accessions with globose terminal leaflet shape scored the highest mean concentration of 117.1+68.3 mg/l. Flower bud tip colour: Mean gallic acid concentration for flower bud tip ranged from 34.7+6.9 mg/l for accessions with non-pigmented to 103.9+61.8 mg/l for those with pigmented flower bud tip. Syringic Acid: Syringic acid was detected at all levels of the 12 morphological traits. Growth habit: syringic acid mean concentration ranged from 76.6+0.00 mg/l for cowpea accessions with prostrate to 314.7+240.34 mg/l for those with semi-prostrate. Main pod pigmentation: the uniformly pigmented accessions scored the lowest mean concentration of 85.9+0.00 mg/l while no pigment accessions scored the highest of 107.1+14.64 mg/l. Pod colour: mean concentration values for pod colour ranged from 68.4+0.00 mg/l for cowpea accessions with dark mottled to 208.0+92.77 mg/l for accessions with purple po dcolour. Seedcoat colour: cowpea accessions with dark mottled seedcoat colour scored the lowest mean syringic acid concentration value of 73.4+0.00 mg/l, while those with brown mottled seedcoat colour scored the highest of 220.2+143.80 mg/l. Seedcoat pattern: the lowest mean syringic acid concentration was scored by accessions with golden eye seedcoat pattern, while the highest mean concentration of 126.2+24.28 mg/l was scored by those with solid seedcoat pattern. Leaf colour: mean syringic acid concentrations ranged between 81.6+1.85 mg/l for cowpea accessions with pale green and 109.6+14.89 mg/l for accessions with intermediate green Plant 45 University of Ghana http://ugspace.ug.edu.gh pigmentation: mean syringic acid concentration ranged between 75.3+2.06 mg/l for accessions with non-plant pigmentation and 115.0+26.49 mg/l for accessions with moderate base tip petiole plant pigmentation. Immature pod tip colour: non-pigmented cowpea accessions scored the lowest mean syringic acid concentration value of 92.9+5.45 mg/l, while pigmented accessions scored the highest of 124.3+30.77 mg/l. 46 University of Ghana http://ugspace.ug.edu.gh Table 6: Means and their standard errors of polyphenols of cowpea genotypes across morphological traits. Mean (se) ppm Trait Class Gallic acid Syringic Quercetin Vanillic acid acid Growth Habit Erect 39.1 (6.59) 92.7 (4.53) 68.3 (2.94) 39.6 (5.18) Prostrate 14.3 (0.00) 76.6 (0.00) 53.8 (0.00) 21.1 (0.00) Semi-erect 45.4 (23.09) 99.5 73.5 (4.88) 47.3 (17.03) (19.47) Semi-prostrate 497.7 314.7 70.5 (1.67) 293.3 (482.93) (240.34) (274.68) Main pod pigmentation No pigment 65.5 (27.92) 107.1 69.4 (2.64) 56.0 (14.64) (16.74) Splashes of 33.5 (10.61) 89.4 (7.05) 69.8 (7.03) 35.8 (8.06) pigments Uniformly 26.0 (0.00) 85.9 (0.00) 47.2 (0.00) 31.9 (0.00) pigmented Pod colour Brown 22.5 (4.02) 81.7 (2.69) 66.8 (3.45) 27.0 (3.08) Buff 46.5 (15.20) 102.0 67.4 (6.05) 50.2 (11.30) (12.91) Dark brown 11.8 (0.00) 72.2 (0.00) 80.5 (0.00) 16.1 (0.00) Dark mottled 8.5 (0.00) 68.4 (0.00) 72.2 (0.00) 11.9 (0.00) Dark purple 38.5 (0.00) 90.9 (0.00) 72.2 (0.00) 37.6 (0.00) Flesh 19.3 (0.00) 82.2 (0.00) 67.2 (0.00) 27.6 (0.00) Light brown 51.9 (12.81) 98.8 (7.90) 71.8 (4.63) 46.4 (9.04) Purple 253.6 208.0 76.7 171.4 (180.88) (92.77) (11.12) (106.03) Seedcoat colour Black 85.6 (72.90) 108.8 101.3 58.0 (35.95) (17.50) (41.05) Black mottled 14.3 (0.00) 73.4 (0.00) 67.2 (0.00) 17.6 (0.00) Brick red 27.3 (8.75) 93.2 65.5 40.1 (13.2) (11.55) (11.70) Brown 49.4 (14.63) 100.2 63.6 (5.40) 48.1 (10.45) (11.96) Brown mottled 306.0 220.2 77.9 105.3 (289.38) (143.80) (11.50) (164.35) Cream 26.1 (4.04) 84.2 (2.67) 67.1 (3.06) 29.8 (3.05) Dark mottled 66.3 (31.27) 115.1 83.0 (9.54) 65.2 (23.95) (27.37) Dirty white 10.2 (0.00) 74.1 (0.00) 60.5 (0.00) 18.3 (0.00) Flesh 19.3 (0.00) 82.2 (0.00) 67.2 (0.00) 27.6 (0.00) Red 109.2 145.2 60.5 (7.30) 99.6 (85.34) (63.37) (72.43) 47 University of Ghana http://ugspace.ug.edu.gh Table 6 cont’d Mean (se) ppm Trait Class Gallic acid Syringic Quercetin Vanillic acid acid Seedcoat pattern Black eye 22.0 (2.34) 79.5 (1.73) 66.05 (7.81) 24.5 (1.99) Black holstein 20.2 (0.00) 75.9 (0.00) 60.5 (0.00) 20.4 (0.00) Brown eye 13.1 (2.9) 75.0 (0.9) 62.2 (1.65) 19.35 (1.05) Golden eye 8.5 (0.00) 69.7 (0.00) 77.2 (0.00) 13.3 (0.00) Small black eye 22.8 (6.07) 83.5 (3.71) 62.2 (5.32) 29.1 (4.25) Small brown eye 38.6 (11.22) 92.3 (7.49) 73.5 (6.01) 39.2 (8.56) Leaf colour Dark green 24.8 (7.47) 82.7 (5.16) 61.1 (5.15) 28.1 (5.90) Intermediate 70.0 (28.44) 109. 6 70.8 (2.63) 58.9 (17.02) green (14.89) Pale green 19.8 (2.95) 81.6 (1.85) 84.7 (10.85) 26.9 (2.15) Plant Moderate base 85.3 (53.36) 115.0 71.5 (4.56) 65.1 (30.28) pigmentation tip petiole (26.49) None 16.02 (1.56) 75.3 (2.06) 58.9 (3.26) 19.7 (2.37) Very slight 47.3 (13.86) 99.28 69.3 (2.59) 47.1 (11.55) (10.11) Immature pod tip colour Non-pigmented 37.0 (7.35) 92.9 (5.45) 67.2 (4.30) 75.7 (35.16) pigmented 99.9 (59.42) 124.3 67.2 (4.30) 75.7 (35.16) (30.77) V-markings Absent 27.0 (3.41) 85.2 (2.31) 67.1 (2.41) 31.00 (2.64) Present 155.9 (97.84) 155.8 76.5 (6.14) 111.7 (50.54) (57.77) Raceme position Below upper 136.4 (69.66) 145.8 77.34 (3.86) 100.3 canopy (35.95) (41.09) In upper canopy 31.5 (7.17) 88.2 (5.50) 68.0 (3.88) 34.47 (6.28) Mostly above 15.7 (1.58) 79.4 (1.06) 60.8 (3.28) 24.3 (1.20) canopy Terminal leaflet shape Globose 117.1 (68.32) 132.9 73.8 (3.62) 85.5 (38.97) (34.09) Hastate 23.7 (3.74) 83.3 (4.78) 58.8 (4.68) 28.8 (5.47) Sub-globose 36.8 (14.77) 92.5 (10.86) 68.3 (3.88) 39.3 (12.42) Sub-hastate 40.0 (14.16) 94.9 (9.52) 69.3 (7.98) 42.2 (10.88) Flower bud tip Non-pigmented 34.7 (6.87) 91.2 (5.08) 69.7 (3.07) 37.9 (5.81) Pigmented 103.9 (61.82) 126.5 68.6 (4.22) 78.2 (36.57) (32.00) 48 University of Ghana http://ugspace.ug.edu.gh V-marking: cowpea accessions with absent v-marking scored the lowest mean syringic acid concentration of 85.2+2.31 mg/l, while the highest mean concentration of 155.8+50.54 mg/l was scored by accessions with present v-marking. Raceme position: mean syringic acid concentration ranged from 79.4+1.05 mg/l for cowpea accessions with mostly above canopy to 145.8+35.95 mg/l for accessions with below upper canopy. Terminal leaflet shape: the cowpea accessions with hastate terminal leaflet shape scored the lowest mean syringic acid concentration of 83.3+4.76 mg/l, while accessions with globose terminal leaflet shape scored the highest mean concentration of 132.9+34.08 mg/l. Flower bud tip colour: mean syringic acid concentration for flower bud tip ranged from 91.2+5.08 mg/l for accessions with non-pigmented flower bud tip to 126.5+32.00 mg/l for accessions with pigmented flower bud tip. Quercetin: Quercetin was present in all the classes of the 12 morphological traits. Growth habit: mean concentration of quercetin from 53.8+0.00 mg/l for cowpea accessions with prostrate growth habit to 73.5+4.88 mg/l for accessions with semi-erect growth habit. Main pod pigmentation: accessions that were uniformly pigmented scored the lowest mean quercetin concentration of 47.2+0.00 mg/l, while accessions that had splashes of pigments scored the highest mean concentration of 69.8+7.03 mg/l. Pod colour: the brown pod coloured cowpea accessions scored the lowest mean quercetin concentration of 66.8+3.45 mg/l while the dark brown coloured accessions scored the highest the highest mean concentration of 80.5+0.00 mg/l. 49 University of Ghana http://ugspace.ug.edu.gh Seedcoat colour: the lowest mean quercetin concentration of 60.5+7.81 mg/l was scored for cowpea accessions with red and dirty white seed coat colours, while the highest mean concentration of 101.3+17.50 mg/l was scored for accessions with black seed coat colour. Seedcoat pattern: cowpea accessions with black Holstein seedcoat pattern had the lowest mean quercetin concentration of 60.5+0.00 mg/l, while accessions with golden eye seedcoat pattern had the highest mean concentration of 77.2+0.00 mg/l. Leaf colour: mean quercetin concentrations ranged between 61.1+5.15 mg/l for dark green leaf coloured cowpea accessions and 84.7+10.5 mg/l for pale green leaf coloured accessions. Plant pigmentation: mean quercetin concentration ranged between 58.9+3.26 mg/l for cowpea accessions that had non-plant pigmentation and 71.5+4.56 mg/l for accessions that had moderate base tip petiole plant pigmentation. Non-pigmented and pigmented cowpea accessions scored a mean concentration value of 67.2+4.30 mg/l respectively. v-marking: mean quercetin concentration for v-marking trait ranged from 67.1+2.41 mg/l for cowpea accessions with absent v-marking to 76.5+6.14 mg/l for accessions with present v- marking. Raceme position: cowpea accessions with mostly above canopy scored the lowest mean quercetin concentration of 60.8+3.28 mg/l, accessions with below upper canopy scored the highest mean concentration of 77.34+3.56 mg/l. 50 University of Ghana http://ugspace.ug.edu.gh Terminal leaflet shape: mean quercetin concentration ranged between 58.8+4.68 mg/l for cowpea accessions that had hastate terminal leaflet shape and 73.8+3.62 mg/l for the accessions with globose terminal leaflet shape. Flower bud tip colour: non-pigmented flower bud tip coloured cowpea accessions scored the lowest mean concentration of 68.6+4.22 mg/l, while pigmented flower bud tip coloured accessions scored the highest of 69.7+3.07 mg/l. Vanillic acid: Vanillic acid was detected in all classes of the 12 morphological traits. Growth habit: mean vanillic acid concentration ranged from 21.1+0.00 mg/l for cowpea accessions with prostrate growth habit to 293.3+274.68 mg/l for accessions with semi-prostrate growth habit. Main pod pigmentation: cowpea accessions that had uniformly pigmented main pod pigmentation scored the lowest mean vanillic acid concentration of 31.9+0.00 mg/l, while accessions with no pigment main pod pigmentation scored the highest mean concentration of 56.0+16.74 mg/l. Pod colour: dark mottled pod coloured cowpea accessions scored the lowest vallinic acid concentration of 11.9+0.00 mg/l, while purple pod coloured accessions scored the highest mean concentration of 171.4+106.03 mg/l. Seedcoat colour: black mottled seedcoat coloured accessions scored the lowest mean concentration of 17.6+0.00 mg/l, while brown mottled seedcoat coloured accessions scored the highest concentration of 105.3+164.35. 51 University of Ghana http://ugspace.ug.edu.gh Seedcoat pattern: mean concentration for seed coat pattern ranged between 13.3+0.00 mg/l for cowpea accessions that had golden eye seed coat pattern to 77.9+27.73 mg/l for the accession which had solid seedcoat pattern. Leaf colour: the lowest mean vanillic acid mean concentration 26.9+2.15 mg/l which was scored for accessions with pale green leaf colour, while accessions with intermediate leaf colour scored the highest of mean concentration of 58.9+17.02 mg/l. Plant pigmentation: vanillic acid mean concentration in plant pigmentation ranged from 19.7+2.37 mg/l which was scored for accessions with non-plant pigmentation to 65.1+30.28 mg/l which was also scored for accessions that had moderate base tip petiole plant pigmentation. Immature pod tip colour: both non-pigmented accessions and pigmented accessions scored a mean concentration value of 75.7+35.16 mg/l each. V-marking: absent v-marking cowpea accessions scored the lowest mean vanillic acid concentration of 31.0+2.64 mg/l, while the highest mean concentration was scored for present v- marking accessions. Raceme position: cowpea accessions which had mostly above canopy raceme position scored the lowest mean vanillic acid concentration of 24.3+1.20 mg/l, while accessions with mostly above canopy scored the highest mean concentration of 100.3+41.09 mg/l. Terminal leaflet shape: mean vanillic acid concentration ranged between 28.8+5.47 mg/l which was scored for accessions with hastate terminal leaflet shape and 42.2+10.88 mg/l which was aslo scored for accessions with sub-hastate terminal leaflet shape. 52 University of Ghana http://ugspace.ug.edu.gh Flower bud tip pigment: accessions with non-pigmented bud tip scored the lowest mean concentration of 37.9+5.81 mg/l, while accessions which had pigmented flower bud tip scored the highest mean concentration of 78.2+36.57 mg/l. 4.3.2 Crude protein and mineral elements Mean concentrations of percent crude protein and mineral elements in each of the classes of morphological traits are presented in Table 7. Calcium: Calcium was detected in all the classes of the 12 morphological traits. Growth habit: The lowest mean calcium concentration of 0.1 ppm was scored for accessions which had erect, prostrate and semi-erect growth habits, accessions which had semi-prostrate growth habit scored the highest mean concentration of 28.8+28.7 ppm. Main pod pigmentation: the lowest mean concentration score of 0.01 ppm was scored for accessions which had splashes of pigment and uniformly pigmented, whilst no pigmented accessions scored the highest mean concentration of 2.0+1.87. Pod colour: The lowest mean concentration of 0.1 ppm was scored for accessions that belonged to seven out of the eight classes, while the highest mean concentration of 14.4+14.35 ppm was scored by accessions which had purple pod colour. Seedcoat colour: Calcium mean concentration ranged from 0.1 ppm which was scored for accessions that belonged to six classes to 17.3+17.22 ppm which was scored for accessions which had brown mottled seedcoat colour. 53 University of Ghana http://ugspace.ug.edu.gh Seedcoat pattern: mean concentration ranged from 0.1 ppm which was scored for accessions that belonged to for five classes to 3.3+3.312 ppm which was scored by accessions which had solid seed coat pattern. Leaf colour: accessions which had dark green leaf colour scored the lowest calcium mean concentration 0.1+0.005 ppm, while accessions with intermediate green leaf colour scored the highest concentration of 1.9+1.794 ppm. Plant pigmentation: the lowest mean concentration of 0.1 ppm was scored for accessions which belonged to two different classes, while the highest mean concentration of 3.6+3.443 ppm was scored for accessions which had moderate base tip petiole. Immature pod tip colour: Mean concentrations for the two classes of immature pod tip colour were 0.1+0.004 ppm which was scored for accessions which had non-pigmented immature pod tip colour and 4.0+3.913 ppm which was also scored for accessions which had pigmented immature pod tip colour. V-marking: mean concentrations for the two classes were 0.1+0.005 ppm which was scored for accessions with absent v-marking and 7.3+7.176 ppm which was also scored for accessions which had present v-markings. Raceme position: Mean concentrations for each of the three raceme position classes ranged between 0.1 ppm which was scored for accessions that belonged to two classes, while 4.9+4.8 ppm was scored for accessions which had below upper canopy. Terminal leaflet shape: highest mean concentration of 4.6+4.53 was scored by accessions which had globose terminal leaflet shape. 54 University of Ghana http://ugspace.ug.edu.gh Flower bud tip pigment: mean concentrations for the flower bud tip classes were 0.1+0.005 ppm which was scored for accessions which had non-pigmented flower bud tip and 4.2+4.1 ppm which was also s cored for accessions which had pigmented flower bud tip. Sodium: Mean sodium concentration for growth habit ranged from 0.0004+0.00 ppm which was scored for accessions which were prostrate to 0.004 ppm which was also scored for accessions that belonged to each of the remaining three classes. Pod pigmentation: Mean concentration for main pod pigmentation ranged from 0.1 ppm to 2.0+1.87 ppm (no pigment main pod pigmentation). Pod colour: Sodium was beyond detection in four classes. Accessions with light brown pod colour had the highest mean concentration of 0.1+0.001 ppm. Seedcoat colour: Sodium was not detected in five classes. The highest mean concentration of 0.05+0.00 ppm was scored for accessions with cream seed coat colour. Seedcoat pattern: Mean concentration for seedcoat pattern ranged from 0.001 ppm to 0.005+0.001 ppm which was scored for accessions which had small black eye seed coat pattern. Leaf colour: accessions with intermediate green leaf colour scored the lowest mean concentration of 0.003+0.001 ppm, while the highest concentration of 0.01+0.005 ppm was scored for accessions which had pale green leaf colour. Plant pigmentation: mean sodium concentration for plant pigmentation ranged from 0.003+0.001 ppm which was scored for accessions which had moderate base tip petiole to 0.01+0.00 ppm which was also scored for accessions with none plant pigmentation. 55 University of Ghana http://ugspace.ug.edu.gh Immature pod tip colour: mean concentrations for the two classes of immature pod tip colour were 0.003+0.001 which was scored for accessions with pigmented immature pod tip colour and 0.004+0.001 ppm which was also scored for accessions with non-pigmented immature pod tip colour. Mean concentrations for the two classes of v-marking were 0.004+0.001 ppm which was scored for accessions with present v-marking and 0.001 ppm which was also scored for accessions with absent v-marking. 56 University of Ghana http://ugspace.ug.edu.gh Table 7: Means and their standard errors of mineral elements of cowpea genotypes according to morphological traits Mean (se) ppm Trait Class Ca Na K Mg Growth Habit Erect 0.1 (0.004) 0.004 (0.001) 10.5 (0.34) 0.3 (0.009) Prostrate 0.1 (0.00) 0.0004 (0.00) 8.0 (0.00) 0.2 (0.00) Semi-erect 0.1 (0.01) 0.004 (0.001) 10.1 (0.49) 0.3 (0.02) Semi-prostrate 28.8 (28.70) 0.001 (0.001) 10.4 (0.19) 0.3 (0.01) Main pod No pigment 2.0 (1.87) 0.004 (0.002) 10.4 (0.25) 0.3 (0.01) pigmentation Splashes of 0.1 (0.01) 0.01 (0.001) 11.1 (1.24) 0.3 (0.03) pigments Uniformly 0.1 (0.00) 0.003 (0.00) 10.9 (0.00) 0.3 (0.00) pigmented Pod colour Brown 0.1 (0.01) 0.005 (0.001) 11.0 (0.45) 0.3 (0.13) Buff 0.1 (0.01) 0.003 (0.001) 10.1 (0.58) 0.3 (0.02) Dark brown 0.1 (0.00) 0.001 (0.00) 10.1 (0.00) 0.3 (0.00) Dark mottled 0.1 (0.00) 0.00 (0.00) 10.5 (0.00) 0.3 (0.00) Dark purple 0.1 (0.00) 0.00 (0.00) 10.8 (0.00) 0.3 (0.00) Flesh 0.1 (0.00) 0.00 (0.00) 10.8 (0.00) 0.3 (0.00) Light brown 0.1 (0.01) 0.01 (0.001) 9.4 (0.64) 0.29 (0.02) Purple 14.4 (14.35) 0.001 (0.00) 9.7 (0.21) 0.3 (0.01) Seedcoat Black 0.1 (0.00) 0.00 (0.00) 9.9 (0.00) 0.3 (0.00) colour Black mottled 0.1 (0.00) 0.00 (0.00) 10.1 (0.00) 0.2 (0.00) Brick red 0.1 (0.02) 0.00 (0.00) 10.9 (0.21) 0.3 (0.02) Brown 0.1 (0.01) 0.003 (0.02) 10.4 (1.0) 0.3 (0.02) Brown mottled 17.3 (17.22) 0.002 (0.001) 10.0 (0.25) 0.3 (0.23) Cream 0.1 (0.01) 0.05 (0.00) 10.7 (0.42) 0.29 (0.01) Dark mottled 0.09 (0.01) 0.00 (0.00) 8.5 (0.32) 0.24 (0.01) Dirty white 0.1 (0.00) 0.001 (0.00) 9.3 (0.00) 0.3 (0.00) Flesh 0.08 (0.00) 0.00 (0.00) 10.8 (0.00) 0.3 (0.00) Red 0.09 (0.02) 0.002 (0.001) 9.8 (0.34) 0.3 (0.02) Seedcoat Black eye 0.1 (0.02) 0.004 (0.001) 11.3 (0.39) 0.3 (0.024) pattern Black holstein 0.1 (0.000) 0.001 (0.00) 10.4 (0.00) 0.3 (0.00) Brown eye 0.1 (0.001) 0.001 (0.001) 7.7 (1.65) 0.3 (0.02) Golden eye 0.1 (0.00) 0.001 (0.00) 9.62 (0.00) 0.3 (0.00) Small black 0.1 (0.007) 0.005 (0.001) 11.3 (0.650) 0.3 (0.023) eye Small brown 0.1 (0.014) 0.004 (0.001) 9.8 (0.634) 0.3 (0.027) eye Solid 3.4 (3.312) 0.003 (0.001) 10.2 (0.379) 0.3 (0.009) 57 University of Ghana http://ugspace.ug.edu.gh Table 7 cont’d Mean (se) ppm Trait Class Ca Na K Mg Leaf colour Dark green 0.1 (0.005) 0.005 (0.001) 10.8 (0.435) 0.3 (0.029) Intermediate 1.9 (1.794) 0.003 (0.001) 10.3 (0.303) 0.3 (0.008) green Pale green 0.2 (0.023) 0.01 (0.005) 10.5 (0.865) 0.3 (0.102) Plant Moderate base 3.6 (3.443) 0.003 (0.001) 10.3 (0.368) 0.3 (0.012) pigmentation tip petiole None 0.1 (0.00) 0.01 (0.00) 9.6 (0.00) 0.2 (0.00) Very slight 0.1 (0.006) 0.004 (0.001) 10.5 (0.374) 0.3 (0.010) Immature pod Non-pigmented 0.1 (0.004) 0.004 (0.001) 10.6 (0.011) 0.3 (0.011) tip colour Pigmented 4.0 (3.913) 0.003 (0.001) 10.4 (0.424) 0.3 (0.012) V-markings Absent 0.1 (0.005) 0.004 (0.001) 10.6 (0.324) 0.3 (0.010) Present 7.3 (7.176) 0.001 (0.00) 9.6 (0.23) 0.3 (0.008) Raceme Below upper 4.9 (4.8( 0.001 (0.00) 9.8 (0.27) 0.3 (0.007) position canopy In upper canopy 0.1 (0.007) 0.004 (0.001) 10.5 (0.34) 0.3 (0.01) Mostly above 0.1 (0.007) 0.006 (0.002) 11.4 (0.71) 0.3 (0.02) canopy Terminal Globose 4.6 (4.53) 0.002 (0.00) 10.2 (0.29) 0.3 (0.12) leaflet shape Hastate 0.1 (0.02) 0.01 (0.001) 11.6 (0.58) 0.3 (0.02) Sub-globose 0.1 (0.006) 0.004 (0.001) 10.5 (0.46) 0.3 (0.01) Sub-hastate 0.1 (0.005) 0.004 (0.001) 10.4 (0.83) 0.3 (0.029) Flower bud tip Non-pigmented 0.1 (0.005) 0.004 (0.00) 10.7 (0.38) 0.3 (0.01) Pigmented 4.2 (4.10) 0.00 (0.00) 10.2 (0.33) 0.3 (0.01) 58 University of Ghana http://ugspace.ug.edu.gh Table 7 cont’d Mean (se) ppm Trait Class Fe Ni Pb Cd Growth Erect 0.04 (0.005) 0.03 (0.002) 0.03 (0.007) 0.00 (0.00) Habit Prostrate 0.04 (0.00) 0.03 (0.00) 0.05 (0.00) 0.00 (0.00) Semi-erect 0.1 (0.01) 0.03 (0.00) 0.03 (0.004) 0.00 (0.00) Semi-prostrate 0.01 (0.003) 0.06 (0.004) 0.1 (0.03) 0.00 (0.00) Main pod No pigment 0.04 (0.005) 0.03 (0.002) 0.4 (0.005) 0.00) (0.00) pigmentation Splashes of 0.04 (0.004) 0.03 (0.006) 0.02 (0.005) 0.00 (0.00) pigments Uniformly 0.1 (0.1 0.03 (0.00) nd nd pigmented Pod colour Brown 0.5 (0.01) 0.02 (0.00) 0.03 (0.005) 0.00 (0.00) Buff 0.04 (0.01) 0.03 (0.002) 0.03 (0.006) 0.00 (0.00) Dark brown 0.1 (0.00) 0.05 (0.00) 0.03 (0.00) nd Dark mottled 0.1 (0.00) 0.07 (0.00) 0.2 (0.00) nd Dark purple 0.1 (0.00) 0.05 (0.00) 0.04 (0.00) nd Flesh 0.1 (0.00) 0.04 (0.00) 0.01 (0.00) nd Light brown 0.05 (0.01) 0.04 (0.005) 0.1 (0.025) 0.00 (0.00) Purple 0.1 (0.01) 0.05 (0.005) 0.04 (0.02) 0.00 (0.00) Seedcoat Black 0.1 (0.00) 0.05 (0.00) 0.07 (0.00) nd colour Black mottled 0.04 (0.00) 0.04 (0.00) nd nd Brick red 0.01 (0.004) 0.02 (0.01) 0.02 (0.01) nd Brown 0.07 (0.01) 0.03 (0.01) 0.06 (0.03) 0.00 (0.00) Brown mottled 0.05 (0.01) 0.05 (0.01) 0.1 (0.03) nd Cream 0.05 (0.01) 0.03 (0.002) 0.03 (0.004) 0.00 (0.00) Dark mottled 0.04 (0.02) 0.04 (0.009) 0.03 (0.01) 0.00 (0.00) Dirty white 0.06 (0.00) 0.04 (0.00) 0.04 (0.00) nd Flesh 0.06 (0.00) 0.04 (0.00) 0.1 (0.00) nd Red 0.04 (0.01) 0.04 (0.004) 0.03 (0.002) nd Seedcoat Black eye 0.04 (0.018) 0.03 (0.002) 0.04 (0.10) 0.002 (0.00) pattern Black holstein 0.001 (0.00) 0.02 (0.00) nd nd Brown eye 0.04 (0.01) 0.03 (0.005) 0.04 (0.00) nd Golden eye 0.1 (0.00) 0.04 (0.00) 0.06 (0.00) nd Small black eye 0.1 (0.010) 0.03 (0.003) 0.03 (0.005) 0.001 (0.00) Small brown eye 0.05 (0.009) 0.001 (0.00) 0.03 (0.006) 0.001(0.00) Solid 0.1 (0.006) 0.04 (0.003) 0.05 (0.011) 0.0004 (0.003) 59 University of Ghana http://ugspace.ug.edu.gh Table 7 cont’d Mean (se) ppm Trait Class Fe Ni Pb Cd Leaf colour Dark green 0.1 (0.005) 0.005 10.8 (0.435) 0.3 (0.029) (0.001) Intermediate 1.9 (1.794) 0.003 10.3 (0.303) 0.3 (0.008) green (0.001) Pale green 0.2 (0.023) 0.01 (0.005) 10.5 (0.865) 0.3 (0.102) Plant Moderate base 0.05 (0.007) 0.03 (0.003) 0.03 (0.005) 0.001 pigmentation tip petiole (0.002) None 0.03 (0.00) 0.03 (0.00) nd nd Very slight 0.05 (0.005) 0.03 (0.003) 0.05 (0.09) 0.001 (0.0002) Immature Non-pigmented 0.05 (0.006) 0.03 (0.003) 0.03 (0.007) 0.001 pod tip (0.0002) colour Pigmented 0.05 (0.007) 0.03 (0.003) 0.03 (0.006) 0.001 (0.0002) V-markings Absent 0.05 (0.005) 0.03 (0.002) 0.03 (0.006) 0.001 (0.0002) Present 0.5 (0.007) 0.05 (0.004) 0.05 (0.016) 0.00001 (0.00002 Raceme Below upper 0.05 (0.006) 0.05 (0.003) 0.05 (0.016) nd position canopy In upper canopy 0.04 (0.006) 0.03 (0.002) 0.03 (0.005) 0.001 (0.0002) Mostly above 0.05 (0.01) 0.02 (0.002) 0.04 (0.004) 0.001 canopy (0.0003) Terminal Globose 0.04 (0.006) 0.04 (0.003) 0.05 (0.01) 0.0003 leaflet shape (0.0002) Hastate 0.05 (0.02) 0.02 (0.005) 0.02 (0.005) 0.002 (0.001) Sub-globose 0.05 (0.006) 0.03 (0.004) 0.04 (0.008) 0.001 (0.0002) Sub-hastate 0.04 (0.02) 0.03 (0.004) 0.02 (0.00) 0.001 (0.001) Flower bud Non-pigmented 0.05 (0.01) 0.03 (0.003) 0.03 (0.007) 0.001 tip (0.0002) Pigmented 0.05 (0.01) 0.04 0.03 (0.006) 0.001 (0.0003) (0.0002) 60 University of Ghana http://ugspace.ug.edu.gh Table 7 cont’d Mean (se) ppm Trait Class Mn Cr Zn CP Growth Habit Erect 0.02 (0.001) 0.003 (0.00) 0.003 (0.001) 13.7 (0.33) Prostrate 0.02 (0.00) nd nd 17.0 (0.00) Semi-erect 0.02 (0.001) 0.0003 (0.00) 0.004 (0.001) 13.6 (0.29) Semi- 0.03 (0.00) nd nd 14.6 (1.6) prostrate Main pod No pigment 0.02 (0.00) 0.003 (0.00) 0.004 (0.001) 13.9 (0.29) pigmentation Splashes of 0.01 (0.002) 0.003 (0.00) 0.004 (0.001) 13.4 (0.43) pigments Uniformly 0.02 (0.00) nd nd 13.6 (0.00) pigmented Pod colour Brown 0.02 (0.001) nd 0.003 (0.001) 14.0 (0.41) Buff 0.02 (0.001) nd 0.01 (0.003) 12.7 (0.50) Dark brown 0.03 (0.00) nd nd 14.2 (0.00) Dark mottled 0.03 (0.00) nd nd 15.6 (0.00) Dark purple 0.03 (0.00) nd nd 16.8 (0.00) Flesh 0.03 (0.00) nd nd 13.7 (0.00) Light brown 0.02 (0.002) 0.002 (0.001) 0.004 (0.001) 13.7 (0.39) Purple 0.02 (0.004) nd 0.004 (0.00) 114.0 (0.08) Seedcoat Black 0.03 (0.00) nd nd 13.9 (0.00) colour Black mottled nd nd 0.002 (0.00) 13.0 (0.00) Brick red 0.01 (0.00) nd 0.001 (0.00) 14.6 (1.05) Brown 0.02 (0.003) 0.003 (0.00) 0.002 (0.001) 13.2 (0.58) Brown 0.03 (0.001) Nd nd 13.8 (1.00) mottled Cream 0.02 (0.001) 0.0003 (0.00) 0.004 (0.001) 13.6 (0.34) Dark mottled 0.02 (0.004) nd 0.01 (0.00) 14.4 (0.88) Dirty white 0.03 (0.00) nd nd 15.9 (0.00) Flesh 0.03 (0.00) nd nd 13.7 (0.00) Red 0.02 (0.005) nd 0.005 (0.00) 14.1 (1.37) Seedcoat Black eye 0.02 (0.001) nd 0.004 (0.00) 15.1 (0.59) pattern Black holstein 0.02 (0.00) nd nd 15.8 (0.00) Brown eye 0.03 (0.00) 0.0003 (0.00) 0.001 (0.00) 14.1 (1.8) Golden eye 0.02 (0.00) nd nd 12.3 (0.00) Small black 0.02 (0.002) nd 0.004 (0.001) 13.7 (0.59) eye Small brown 0.02 (0.002) nd 0.002 (0.001) 13.0 (0.54) eye Solid 0.02 (0.001) 0.003 (0.00) 0.004 (0.002) 13.7 (0.37) 61 University of Ghana http://ugspace.ug.edu.gh Table 7cont’d Mean (se) ppm Trait Class Mn Cr Zn CP Leaf colour Dark green 0.01 nd 0.004 (0.00) 13.9 (0.37) (0.001) Intermediate 0.02 0.002 0.004 13.9 (0.28) green (0.001) (0.001) (0.001) Pale green 0.02 nd nd 11.2 (0.66) (0.006) Plant pigmentation Moderate 0.02 0.002 0.004 13.5 (0.36) base tip (0.002) (0.001) (0.001) petiole None 0.02 (0.00) nd nd 13.0 (0.00) Very slight 0.02 nd 0.004 14.1 (0.34) (0.001) (0.002) Immature pod tip Non- 0.02 0.003 (0.00) 0.004 13.7 (0.33) colour pigmented (0.001) (0.002) Pigmented 0.02 0.0003 0.004 14.0 (0.39) (0.001) (0.00) (0.001) V-markings Absent 0.02 0.0003 0.004 13.8 (0.30) (0.001) (0.00) (0.001) Present 0.02 0.003 (0.00) 0.003 14.0 (0.54) (0.002) (0.001) Raceme position Below upper 0.02 0.003 (0.00) 0.004 13.9 (0.43) canopy (0.002) (0.0001) In upper 0.02 0.0003 0.005 13.7 (0.32) canopy (0.001) (0.00) (0.002) Mostly above 0.02 nd 0.003 13.9 (0.63) canopy (0.001) (0.0003) Terminal leaflet Globose 0.02 0.003 (0.00) 0.006 13.7 (0.44) shape (0.002) (0.003) Hastate 0.02 nd 0.001 (0.00) 13.6 (0.70) (0.001) Sub-globose 0.02 0.0003 0.004 13.8 (0.41) (0.001) (0.00) (0.001) Sub-hastate 0.01 nd 0.004 14.5 (0.39) (0.001) (0.0003) Flower bud tip Non- 0.02 0.003 (0.00) 0.004 13.9 (0.33) pigmented (0.001) (0.002) Pigmented 0.02 0.0003 0.004 13.9 (0.39) (0.002) (0.00) (0.001) 62 University of Ghana http://ugspace.ug.edu.gh Raceme position: mean concentrations ranged between 0.001+0.00 ppm which was scored for accessions which had below upper canopy and 0.006+0.002 ppm which was also scored for accessions with mostly above canopy. Terminal leaflet shape: mean concentration ranged between 0.002+0.00 ppm which was scored for accessions with globose terminal leaflet shape and 0.01+0.001 ppm which was also scored for accessions with hastate terminal leaflet shape. Sodium was beyond detection limit in pigmented flower bud tip. Potassium: Potassium was present in all classes of the 12 morphological traits. Growth habit: mean potassium concentration ranged from 8.0+0.00 ppm which was scored for prostrate accessions to 10.5+0.34 ppm which was also scored for erect accessions. Main pod pigmentation: accessions with no pigment scored the lowest mean concentration of 10.4+0.25 ppm. while accessions with splashes of pigments scored the highest of 11.1+1.24 ppm. Pod colour: mean concentration ranged from 9.4+0.64 ppm which was scored for light brown pod coloured accessions to 11.0+0.45 ppm which was also scored for brown pod coloured accessions. Seedcoat colour: dark mottled seedcoat coloured accessions scored the lowest mean concentration of 8.5+0.32 ppm, while the highest of 10.9+0.21 ppm was scored for brick red seed coat coloured accessions. Seedcoat pattern: accessions which had brown eye scored the lowest mean concentration of 7.7+1.65 ppm, while accessions which had brown small black eye scored the highest mean concentration of 11.3+0.650 ppm. 63 University of Ghana http://ugspace.ug.edu.gh Leaf colour: accessions which had intermediate green leaf colour scored the lowest mean concentration of 10.3+0.303 ppm, while accessions which had dark green leaf colour scored the highest mean concentration of 10.8+0.435 ppm. Plant pigmentation: accessions with no plant pigmentation scored the lowest mean potassium concentration of 9.6+0.00 ppm, while those with very slight plant pigmentation scored the highest concentration of 10.5+0.374 ppm. Immature pod tip colour: Mean concentrations for the two classes of immature pod tip colour were 10.6+0.011 ppm which was scored for accessions which had non-pigmented immature pod tip and 10.4+0.424 ppm which was also scored for accessions with pigmented immature pod tip. V-marking: accessions which had absent v-marking scored mean concentration of 10.6+0.324 ppm, while those which had present v-marking scored mean concentration of 9.6+0.23 ppm Raceme position: mean concentration ranged between 9.8+0.27 ppm which was scored for accessions with below upper canopy and 11.4+0.71 ppm which was also scored for those with mostly above canopy. Terminal leaflet shape: accessions which had sub-hastate terminal leaflet shape scored the lowest mean concentration of 10.4+0.83 ppm, while those with hastate scored 11.6+0.58 ppm. Flower bud tip pigment: mean concentrations for the two flower bud tip classes were 10.7+0.38 ppm which was scored for accessions with non-pigmented flower bud tip and 10.2+0.33 ppm which was also scored for those with pigmented flower bud tip. Magnesium: Magnesium was detected in all the classes of the 12 morphological traits. 64 University of Ghana http://ugspace.ug.edu.gh Growth habit: accessions with prostrate growth habit scored the lowest mean concentration of 0.2+0.00 ppm, while the highest mean concentration of 0.3 ppm was scored for accessions which had the other three growth habit forms. Main pod pigmentation: accessions that had the three classes of main pod pigmentation had mean concentration of 0.3 ppm respectively. Pod colour: light brown pod coloured accessions scored mean concentration of 0.29+0.02 ppm accessions in the remaining seven classes scored mean concentration of 0.3 ppm each, Seedcoat colour: mean concentration ranged between 0.2+0.00 ppm which was scored for the accessions with black mottled seedcoat colour and 0.3 ppm which was scored for accessions in each of the other classes. Seedcoat pattern: mean concentration value of 0.3 ppm was scored for accessions in each of the six different classes of seedcoat pattern. Leaf colour: accessions in each of the three classes had mean concentration value of 0.3 ppm. Plant pigmentation: mean potassium concentration ranged between 0.2+0.00 ppm which was scored for accessions which had non plant pigmentation and 0.3 ppm which was also scored for accessions in each of the other two classes. Accessions in each of the each of the individual classes for the following morphological traits scored mean concentration value of 0.3 ppm: immature pod pigmentation, V-markings, raceme position, terminal leaflet shape and flower bud tip colour. Iron: Iron was detected in all classes of the 12 morphological traits. 65 University of Ghana http://ugspace.ug.edu.gh Growth habit: Mean iron concentration for growth habit ranged from 0.01+0.003 ppm which was scored for accessions with semi-prostrate growth habit to 0.1+0.01 ppm which was also scored for those which were semi-erect. Main pod pigmentation: Uniformly pigmented accessions had the highest mean concentration. Pod colour: accessions which had brown pod colour scored the highest mean concentration of 0.5+0.01 ppm. Seedcoat colour: accessions which had black and black mottled seedcoat had the highest mean concentration value of 0.1 ppm respectively. Seedcoat pattern: accessions which had golden eye, small black eye and solid classes had the highest mean concentration of 0.1 ppm respectively. Leaf colour: accessions which had pale green leaf cololur had the highest mean concentration of 0.1 ppm. Plant pigmentation: accessions with non-plant pigmentation scored the highest mean concentration of 0.03 ppm. Immature pod tip colour: accessions which belonged to the two classes had mean concentration of 0.05 ppm respectively. V-marking: mean concentrations for the two classes of v-marking were 0.05+0.005 ppm which was scored for accessions with absent v-marking and 0.5+0.00 ppm which was also scored foe accessions with present v-marking. 66 University of Ghana http://ugspace.ug.edu.gh Raceme position: mean concentration ranged between 0.05 ppm which was scored for accessions with upper canopy and 0.05+0.00 ppm which was also scored for accessions which belonged to the other two classes. Terminal leaflet shape: mean concentration ranged between 0.04+0.01 ppm which was scored for accessions which had sub-hastate terminal leaflet shape and 0.05 ppm which was also scored for accessions which belonged to the other two remaining classes. Flower bud tip pigment: Mean concentration for each of the two flower bud tip classes was 0.05+0.01 ppm, respectively. Nickel: Nickel was present in all classes of the 12 morphological traits. Growth habit: Nickel mean concentration of 0.03 ppm was scored for three different classes of growth habit and the semi-prostrate accessions scored a mean concentration of 0.06+0.004 ppm. Main pod pigmentation: accessions in each of the three classes scored mean concentration of 0.03 ppm. Pod colour: mean concentration distribution ranged from 0.02+0.00 ppm to 0.07+0.00 ppm which was scored for accessions with dark mottled colour. Seed coat colour: mean nickel concentration ranged from 0.02+0.00 ppm which was scored for accessions with brick red seed coat colour to 0.05 ppm which was scored by accessions for two different classes. Seedcoat pattern: accessions which had small brown eye scored the lowest mean nickel concentration of 0.001+0.00 ppm, while golden eye and solid accessions scored the highest mean concentration of 0.04 ppm. 67 University of Ghana http://ugspace.ug.edu.gh Leaf colour: the dark green leaf coloured accessions scored the lowest mean concentration of 0.02+0.002 ppm, while the accessions for the remaining two classes had the highest mean concentration of 0.03 ppm. Plant pigmentation: accessions for each of the three classes scored mean concentration value of 0.03 ppm. Immature pod tip colour: the accessions for each of the two classes scored mean concentration value of 0.03 ppm. V-marking: nickel mean concentration for the two classes of v-marking were 0.03+0.002 ppm which was scored for the accessions with absent v-marking and 0.05+0.004 ppm which was also scored for the accessions with present v-marking. Raceme position: the accessions with mostly above canopy scored the lowest mean concentration of 0.02+0.002 ppm, while those accessions with below upper canopy scored the highest mean concentration of 0.05+0.003 ppm. Terminal leaflet shape: the accessions which had hastate terminal leaflet shape scored the lowest mean concentration of 0.02+0.005 ppm, while those accessions with globose terminal leaflet shape scored the highest of mean concentration of 0.04+0.003 ppm. Flower bud tip pigment: nickel mean concentration for the two classes of flower bud tip were 0.03+0.003 ppm which was scored for the accessions with non-pigment, while the pigmented accessions scored the highest mean concentration of 0.04+0.0.0003 ppm. Lead: Lead was beyond detection in some of the classes of the 12 morphological traits. 68 University of Ghana http://ugspace.ug.edu.gh Growth habit: mean lead concentration ranged between 0.03 ppm and 0.1+0.03 ppm which was scored for the accessions with semi-prostrate growth habit. Main pod pigmentation: Lead was beyond detection for the uniformly pigmented accessions. The accessions with splashes of pigments scored a mean concentration value of 0.02+0.005 ppm, while those with no pigment scored 0.4+0.005 ppm. Pod colour: mean concentration values ranged from 0.02+0.00 ppm which was scored for the accessions with brown pod colour to 0.07+0.00 ppm which also scored for the dark mottled pod coloured accessions. Seedcoat colour: the brick red seedcoat coloured accessions had the lowest mean concentration of 0.02+0.01 ppm, while the accessions with the black seedcoat scored the highest of 0.05+0.00 ppm. Seedcoat pattern: the accessions with the black Holstein scored the lowest mean concentration of 0.02+0.00, while those with golden eye scored the highest of 0.04+0.00 ppm. Leaf colour: the accessions with the dark green leaf scored the lowest mean concentration of 0.02+0.002 ppm, while accessions for the remaining classes scored the highest of 0.03 ppm. Plant pigmentation: nickel mean concentration was beyond detection in the non-pigmented accessions. The remaining two classes had mean concentrations of 0.03+0.005 ppm which was scored for the accessions with moderate base tip petiole, while the accessions with very slight plant pigmentation scored the highest of 0.05+0.0.09 ppm. Immature pod tip colour: the non-pigmented accessions and the pigmented ones scored mean concentration values of 0.03+0.007 ppm and 0.03+0.006 ppm, respectively. 69 University of Ghana http://ugspace.ug.edu.gh V-marking: the accessions with absent v-marking had a mean concentration of 0.03+0.005 ppm, while those with present v-marking scored 0.05+0.016 ppm. Raceme position: the accessions with upper canopy scored a mean nickel concentration of 0.03+0.005 ppm, while those with below canopy scored mean concentration of 0.4+0.004 ppm. Terminal leaflet shape: mean nickel concentration ranged between 0.02 ppm and 0.04+0.003 ppm which was scored for the accessions with globose terminal leaflet shape. Flower bud tip pigment: mean nickel concentration for the two classes of flower bud tip were 0.03+0.003 ppm which was scored for the accessions with non-pigment. While the accessions with pigment scored the highest of 0.03+0.006 ppm. Cadmium: Cadmium was beyond detection in all classes of the following: growth habit, main pod pigmentation, pod colour and seed coat colour. Seedcoat pattern: accessions with black eye seed coat pattern had a mean concentration of (0.002+0.00 ppm), while those with small black eye scored mean concentration of 0.001+0.00 ppm. Leaf colour: the intermediate green leaf coloured accessions scored the lowest cadmium mean concentration of 0.0005+0.0002 ppm, while those with dark green and pale green leaf colours scored the highest of 0.002+0.00 ppm. Plant pigmentation: cadmium mean concentration was 0.001+0.002 ppm which was scored for the accessions with moderate base tip petiole and very slight plant pigmentation. Immature pod tip colour: the accessions for each of the two classes had cadmium mean concentration of 0.001+0.0002 ppm. 70 University of Ghana http://ugspace.ug.edu.gh V-marking: the accessions with absent v-marking had a mean concentration of 0.001+0.0002 ppm (absent V-marking) while those with present v-marking scored a mean concentration of 0.00001+0.00002 ppm. Raceme position: the accessions with upper canopy and mostly above canopy scored mean concentrations of 0.001+0.0002 ppm (in upper canopy) and 0.001+0.0003 ppm, respectively. Terminal leaflet shape: mean cadmium concentration ranged between 0.0003+0.0002 ppm which was scored for the globose terminal leaflet shape, while those with hastate terminal leaflet shape scored 0.002+0.001 ppm. Flower bud tip pigment: the accessions for each of the two classes had mean cadmium concentrations of 0.001+0.0002 ppm. Manganese: Manganese was detected in all classes of the 12 morphological traits. Growth habit: the accession for each of the three classes erect, prostrate and semi-erect growth habit had mean manganese concentration of 0.02 ppm, while those with semi-prostrate scored 0.03+0.00 ppm. Main pod pigmentation: manganese mean concentration ranged between 0.01+0.00 ppm which was scored for the accessions with splashes of pigments and 0.02+0.00 ppm which was also scored for accessions with no pigmentation and uniformly pigmented. Pod colour: Mean concentration for pod colour ranged from 0.02 ppm and 0.03+0.00 ppm. Seedcoat colour: manganese mean concentration ranged from 0.01+0.00 ppm which was scored for accessions with brick red seed coat colour to 0.03 ppm. 71 University of Ghana http://ugspace.ug.edu.gh Seedcoat pattern: mean concentration ranged between 0.02 ppm and 0.03+0.00 ppm which was scored for the accessions with brown eye seed coat pattern. Leaf colour: the accessions with intermediate leaf colour had mean concentration of 0.0005+0.0002 ppm (intermediate green leaf colour), while those for each of the other two classes scored 0.002+0.00 ppm. Immature pod tip colour: the accessions for each of the classes had mean concentration of 0.02 ppm. V-marking and raceme position: the accessions for each of the classes for v-marking and raceme position had mean concentration of 0.02 ppm. Terminal leaflet shape: mean concentration ranged from 0.01+0.001 ppm for the accessions which had sub-hastate to 0.02 ppm which was scored for the remaining classes of the accessions. Flower bud tip pigment: the non-pigmented and pigmented accessions scored mean concentrations of 0.02+0.001 ppm and 0.02+0.002 ppm, respectively. Chromium: Chromium was beyond detection in most of the classes of the 12 morphological traits. Growth habit: chromium was present in only the accessions that had erect and semi-erect growth habits at mean concentration of 0.003+0.00 ppm. Main pod tip colour: Chromium was beyond detection in accessions which were uniformly pigmented. 72 University of Ghana http://ugspace.ug.edu.gh Pod colour: chromium was detected in only the accessions which had light brown colour at a mean concentration of 0.002+0.001 ppm. Seedcoat colour: the accessions with brown and cream had mean chromium concentration of 0.003+0.00 ppm respectively. Seedcoat pattern: the accessions with brown eye and small brown eye patterns scored mean chromium concentration of 0.003 ppm Leaf colour: mean concentration of 0.002+0.001 ppm was scored for the accessions which had intermediate green leaf colour. Plant pigmentation: chromium was present in the accessions which had moderate base tip petiole colour at mean concentration of 0.002+0.001 ppm. Immature pod tip colour and V-marking: chromium was present at mean concentration of 0.003+0.00 ppm in all accessions for all classes for immature pod tip colour and v-marking. In the following traits: in all the accessions for raceme position, terminal leaflet shape and flower bud tip colour, mean chromium concentration was either 0.003+0.00 ppm or 0.0003+0.00 ppm. Zinc: Zinc was beyond detection in some of the classes of the 12 morphological traits. Growth habit: zinc was absent in accessions which were prostrate and semi-prostrate. Main pod pigmentation: zinc was also absent in the uniformly pigmented accessions. Pod colour: accessions in four classes did not show the presence of zinc. Seedcoat colour: the accessions for four different classes did not show the presence of zinc. 73 University of Ghana http://ugspace.ug.edu.gh Seedcoat pattern: zinc was present in only accessions which had brown eye and solid seed coat patterns at mean concentration of 0.0003+0.00 ppm and 0.003+0.00 ppm, respectively. Leaf colour: zinc was present in only the accessions which had intermediate green leaf colour at mean concentration of 0.002+0.001 ppm. Plant pigmentation: zinc was detected in only the accessions with moderate base tip petiole at mean concentration of 0.002+0.001 ppm. Immature pod tip colour: accessions for the following morphological traits: immature pod tip colour v-markings and raceme position, where zinc was detected, the mean concentration was either 0.003 ppm or 0.004 ppm. Terminal leaflet shape: mean concentration ranged from 0.001+0.00 ppm which was scored for the accessions with hastate terminal leaflet shape to 0.006+0.003 ppm which was also scored for the accessions which had globose terminal leaflet shape. Flowere bud tip pigment: mean zinc concentrations scored for accessions in each of the two classes was 0.004 ppm. Crude protein: Crude protein was detected in all the classes for the morphological traits. In growth habit the accessions which were prostrate had the highest mean protein concentration of 17.0+0.00%. Mean protein concentration of 16.8+0.00% was scored for the accessions which had dark purple pod colour. The accessions which had the dark mottled pod colour, dirty white seed coat colour, black eye and black Holstein seed coat patterns had mean protein concentration of 15.6+0.00%, 15.9+0.00%, 15.1+0.59% and 15.8+0.00%, respectively. 74 University of Ghana http://ugspace.ug.edu.gh Growth habit: the accessions which were semi-erect had the highest mean concentration of (4390.0+682.0) x 10-8 ppm. Pod colour: the accessions with Dark mottled pod colour had the highest mean concentration of (5820.0+0.00) x 10-8 ppm. The accessions which had Flesh pod colour also had mean concentration of (4530.0+0.00) x 10-8 ppm. Seedcoat colour: the accessions with seedcoat colours black, brown and flesh had mean concentrations of (4680.0+4350) x 10-8 ppm, (4290.0+1000) x 10-8 ppm and (4530.0+0.00) x 10-8 ppm, respectively. Seedcoat pattern: the accessions with black eye had mean concentration of (4090.0+1130) x 10-8 ppm. Plant pigmentation: the accessions which had moderate base tip petiole scored mean concentration of (4030.0+587) x 10-8 ppm. Terminal leaflet shape: the accessions which had sub-hastate scored mean concentration of (4650.0+1780) x 10-8 ppm. 4.3.3 Amino acids Table 8 shows results for mean amino acid concentration for the morphological traits. L-Histidine: L-histidine was detected in all the classes for the morphological traits. Glycine: Glycine was below detection in some of the classes for the morphological traits. It was below detection in the accessions which had the following phenotypic traits: prostrate growth 75 University of Ghana http://ugspace.ug.edu.gh habit, uniformly pigmented main pod pigmentation, dark brown and dark purple pod colours; black, brick red, dirty white and red seed coat colours; black eye and black Holstein seed coat patterns; pale green leaf colour, mostly above canopy raceme position and hastate terminal leaflet shape. However, its highest concentration of (603.0+0.00) x 10-8 ppm occurred in the accessions with black mottled seedcoat colour L-Asparagine: L-Asparagine was beyond detection in the accessions with prostrate growth habit, black Holstein seed coat pattern and pale green leaf colour. The highest mean concentration of (6070.0+0.00) x 10-8 ppm was scored for the accessions which had flesh pod colour and flesh seed coat colour, respectively. DL-Alpha-Alanine: Dl-Alpha-Alanine was beyond detection in the accessions which had prostrate growth habit, dark purple pod colour, dirty white seed coat colour and black Holstein seed coat pattern. The highest mean concentration of (7820.0+0.00) x 10-8 ppm, (8260.0+0.00) x 10-8 ppm and (7820.0+0.00) x 10-8 ppm were scored for the accessions which had flesh pod colour, black mottled seed coat colour and flesh seed coat colour, respectively. 76 University of Ghana http://ugspace.ug.edu.gh Table 8: Means and their standard errors of amino acids of cowpea genotypes according to morphological traits Mean (se) ppm x 10-8 Trait Class L-Histidine Glycine L-Asparagine Growth Habit Erect 3460 (592) 191 (5.6) 2140 (335) Prostrate 337 (0.00) nd nd Semi-erect 4390 (682) 322 (92.6) 2960 (894) Semi-prostrate 3300 (1270) 293 (0.00) 1880 (603) Main pod No pigment 3750 (502) 254 (60.5) 2290 (445) pigmentation Splashes of 2720 (835) 290 (12.5) 3100 (804) pigments Uniformly 2590 (0.00) nd 837 (0.00) pigmented Pod colour Brown 3600 (748) 356 (247) 2130 (538) Buff 3180 (747) 129 (89.1) 947 (165) Dark brown 3140 (0.00) nd 830 (0.00) Dark mottled 5820 (0.00) 293 (0.00) 3090 (0.00) Dark purple 2810 (0.00) nd 516 (0.00) Flesh 4530 (0.00) 346 (0.00) 6070 (0.00) Light brown 3940 (767) 279 (76.8) 3630 (936) Purple 2410 (746) 94.3 (0.00) 25.60 (848) Seedcoat Black 4680 (4350) nd 2650 (285) colour Black mottled 12320 (0.00) 603 (0.00) 3950 (0.00) Brick red 3360 (2750) nd 101 (0.00) Brown 4290 (1000) 300 (294) 3760 (1450) Brown mottled 2440 (912) 293 (0.00) 1980 (438) Cream 3510 (524) 236 (33.8) 1680 (368) Dark mottled 2000 (921) 118 (52.7) 2420 (1180) Dirty white 3610 (0.00) nd 4230 (0.00) Flesh 4530 (0.00) 346 (0.00) 6070 (0.00) Red 2050 (1020) nd 516 (0.00) Seedcoat Black eye 4090 (1130) nd 837 (0.00) pattern Black holstein 1660 (0.00) nd nd Brown eye 370 (160) 278 (0.00) 3230 (1000) Golden eye 7730 (0.00) 108 (0.00) 2059 (0.00) Small black eye 3750 (999) 255 (0.00) 170 (637) Small brown eye 2870 (900) 296 (33.5) 1800 (823) Solid 3300 (559) 274 (82.2) 2760 (561) Leaf colour Dark green 4280 (1380) 255 (0.00) 1390 (591) Intermediate green 3640 (456) 260 (55.4) 2480 (383) Pale green 807 (143) nd nd 77 University of Ghana http://ugspace.ug.edu.gh Table 8 cont’d Mean (se) ppm x 10-8 Trait Class L-Histidine Glycine L-Asparagine Plant Moderate base 4030 (587) 294 (77.4) 2390 (587) pigmentation tip petiole None 2630 (2030) 255 (0.00) 2570 (0.00) Very slight 3440 (645) 226 (84.2) 2390 (408) Immature pod Non-pigmented 3950 (688) 230 (67.0) 2230 (616) tip colour Pigmented 3210 (586) 307 (82.6) 2520 (468) V-markings Absent 3650 (502) 335 (54.1) 2480 (501) Present 3520 (936) 191 (91.9) 2420 (496) Raceme Below upper 3880 (538) 241 (60.0) 3210 (698) position canopy In upper canopy 3570 (678) 302 (106) 1700 (319) Mostly above 3680 (1230) nd 1570 (641) canopy Terminal Globose 3240 (576) 144 (62.2) 2060 (430) leaflet shape Hastate 3420 (1090) nd 982 (471) Sub-globose 3900 (722) 294 (57.9) 2460 (411) Sub-hastate 4650 (1780) 594 (0.00) 4690 (4570) Flower bud tip Non-pigmented 3670 (645) 214 (74.9) 2340 (562) Pigmented 3340 (593) 307 (82.6) 2210 (478) 78 University of Ghana http://ugspace.ug.edu.gh Table 8 cont’d Mean (se) ppm x 10-8 Trait Class DL-Alpha- L-Valine D-Proline L-Aspartic Alanine Growth Erect 2220 (303) 871 (95.6) 983 (178) 737 (87.9) Habit Prostrate Nd 549 (0.00) 261 (0.00) nd Semi-erect 3180 (709) 877 (207) 937 (199) 914 (125) Semi-prostrate 2410 (8840 347 (135) 981 (567) 9.66 (427) Main pod No pigment 2460 (346) 863 (99.7) 1020 (156) 789 (86.40) pigmentation Splashes of 2940 (620) 579 (224) 669 (30.1) 805 (158) pigments Uniformly 3850 (0.00) 584 (0.00) 219 (0.00) 186 (0.00) pigmented Pod colour Brown 2080 (0.00) 8110 (116) 944 (233) 623 (135) Buff 1890 (395) 1020 (235) 1010 (418) 581 (134) Dark brown 2720 (0.00) 409 (0.00) 316 (0.00) 1020 (0.00) Dark mottled 4170 (0.00) 608 (0.00) 2100 (0.00) 1810 (0.00) Dark purple Nd 1510 (0.00) 447 (0.00) 946 (0.00) Flesh 7820 (0.00) 1060 (0.00) 1730 (0.00) 1040 (0.00) Light brown 3340 (661) 713 (167) 1080 (198) 1090 (90.0) Purple 1670 (491) 885 (435) 571 (122) 916 (207) Seedcoat Black 1320 (312) 979 (0.00) 978 (540) 1240 (44.9) colour Black mottled 8260 (0.00) 2290 (0.00) 1440 (0.00) 1730 (0.00) Brick red 859 (650) 576 (345) 2280 (0.00) nd Brown 3210 (1030) 871 (366) 1180 (311) 1230 (136) Brown mottled 2130 (684) 272 (88.9) 794 (336) 1100 (331) Cream 2270 (326) 871 (92.0) 1000 (236) 623 (88.6) Dark mottled 3360 (499) 389 (79.9) 651 (153) 909 (235) Dirty white Nd 588 (0.00) 489 (0.00) 806 (0.00) Flesh 7820 (0.00) 1060 (0.00) 1730 (0.00) 1040 (0.00) Red 754 (244) 1320 (445) 344 (53.3) 539 (222) Black eye 1840 (852) 1230 (270) 2050 (876) 367 (163) Seedcoat pattern Black holstein Nd 666 (0.00) nd 56.6 (0.00) Brown eye 2690 (0.00) 358 (230) 1250 (758) 775 (31.6) Golden eye 2340 (0.00) 404 (0.00) 764 (0.00) 1040 (0.00) Small black eye 2450 (626) 644 (112) 629 (124) 531 (119) Small brown 2430 (628) 1210 (93.6) 628 (163) 848 (203) eye Solid 2690 (484) 791 (155) 910 (134) 1030 (99.3) 79 University of Ghana http://ugspace.ug.edu.gh Table 8 cont’d Mean (se) ppm x 10-8 Trait Class DL-Alpha- L-Valine D-Proline L-Aspartic Alanine Leaf colour Dark green 2770 (1020) 703 (145) 510 (141) 681 (191) Intermediate 2530 (319) 864 (103) 1050 (151) 833 (79.9) green Pale green 702 (111) 702 (404) 395 (0.00) 419 (213) Plant Moderate base 2760 (480) 848 (142) 971 (206) 892 (100) pigmentation tip petiole None 3420 (1980) 588 (316) 806 (170) 964 (60.9) Very slight 2150 (360) 846 (115) 967 (193) 692 (107) Immature Non-pigmented 2540 (403) 795 (118) 11.10 (194) 753 (109) pod tip colour Pigmented 2650 (521) 931 (152) 802 (220) 813 (110) V-markings Absent 2390 (348) 789 (87.5) 10.50 (177) 708 (82.9) Present 2760 (66.8) 915 (258) 762 (153) 989 (149) Raceme Below upper 3350 (561) 880 (172) 968 (151) 996 (97.7) position canopy In upper canopy 2070 (390) 946 (142) 1000 (214) 749 (118) Mostly above 1720 (488) 532 (92.3) 879 (453) 324 (128) canopy Terminal Globose 2270 (420) 716 (96.9) 96.2 (228) 786 (85.7) leaflet shape Hastate 835(485 1420 (470) 1160 (401) 664 (423) Sub-globose 2770 (444) 846 (136) 934 (204) 887 (127) Sub-hastate 4030 (1710) 511 (118) 907 (426) 667 (216) Flower bud Non-pigmented 2230 (336) 744 (113) 988 (179) 745 (102) tip Pigmented 2750 (578) 970 (156) 874 (238) 816 (118) 80 University of Ghana http://ugspace.ug.edu.gh Table 8 cont’d Mean (se) ppm x 10-8 Trait Class L-Methionine Trans-4-Hydroxy- Iso-Leucine L-Proline Growth Erect 267 (16.7) 866 (19.7) 850 (21.0) Habit Prostrate 190 (0.00) 886 (0.00) 870 (0.00) Semi-erect 347 (39.3) 841 (18.7) 824 (19.8) Semi-prostrate 372 (120) 804 (6.80) 7.82 (7.27) Main pod No pigment 296 (19.3) 812 (10.8) 845 (17.3) pigmentation Splashes of 320 (52.4) 949 (0.00) 792 (10.9) pigments Uniformly 204 (0.00) 949 (0.00) 937 (0.00) pigmented Pod colour Brown 254 (25.8) 882 (27.6) 869 929.3) Buff 251 (18.4) 876 (39.6) 859 (42.3) Dark brown 412 (0.00) 805 (0.00) 784 (0.00) Dark mottled 595 (0.00) 817 (0.00) 796 (0.00) Dark purple 456 (0.00) 821 (0.00) 801 (0.00) Flesh 554 (0.00) 809 (0.00) 787 (0.00) Light brown 359 (44.3) 812 (5.31) 792 (5.55) Purple 280 (35.1) 834 (25.1) 851 (26.8) Seedcoat Black 233 (44.7) 812 (1.30) 790 (1.40) colour Black mottled 779 (0.00) 802 (0.00) 791 (0.00) Brick red 223 (8.50) 999 (150) 990 (160) Brown 293 (51.8) 812 (7.77) 791 (8.2) Brown mottled 331 (74.7) 813 (8.38) 792 (8.96) Cream 287 (21.3) 868 (24.2) 853 (25.7) Dark mottled 286 (45.6) 843 (17.4) 824 (18.6) Dirty white 205 (0.00) 979 (0.00) 969 (0.00) Flesh 554 (0.00) 809 (0.00) 787 (0.00) Red 251 (51.6) 853 (39.0) 835 (41.7) Seedcoat Black eye 279 (37.6) 1060 (94.4) 1050 (100) pattern Black holstein 241 (0.00) 828 (0.00) 880 (0.00) Brown eye 368 (163) 910 (69.3) 895 (73.9) Golden eye 348 (0.00) 812 (0.00) 791 (0.00) Small black 258 (29.2) 839 (18.7) 820 (19.9) eye Small brown 303 (52.4) 813 (18.4) 792 (19.5) eye Solid 306 (27.3) 835 (12.60) 816 (13.4) 81 University of Ghana http://ugspace.ug.edu.gh Table 8 cont’d Mean (se) ppm x 10-8 Trait Class L-Methionine Trans-4-Hydroxy- Iso-Leucine L-Proline Leaf colour Dark green 235 (30.2) 833 (16.8) 820 (18.8) Intermediate 305 (19.6) 864 (16.6) 846 (17.7) green Pale green 291 (82.8) 792 (9.95) 769 (10.7) Plant Moderate base 316 (27.0) 842 (20.1) 8234 (21.4) pigmentation tip petiole None 288 (81.8) 829 (13.7) 809 (14.6) Very slight 293 (18.7) 871 (20.6) 856 (21.9) Immature pod Non-pigmented 293 (23.6) 853 (19.7) 835 (21.0) tip colour Pigmented 309 (30.1) 864 (23.9) 850 (25.4) V-markings Absent 282 (17.9) 866 (18.1) 850 (19.3) Present 333 (45.9) 836 (14.6) 818 (15.5) Raceme Below upper 358 (35.2) 818 (8.71) 798 (9.29) position canopy In upper canopy 286 (24.2) 870 (24.2) 856 (25.7) Mostly above 216 (14.2) 879 (36.2) 863 (38.5) canopy Terminal Globose 283 (23.9) 869 (29.1) 852 (31.1) leaflet shape Hastate 265 (37.4) 878 (44.4) 862 (47.3) Sub-globose 312 (29.7) 845 (19.7) 826 (21.0) Sub-hastate 276 (58.7) 860 (29.2) 843 (30.8) Flower bud Non-pigmented 277 (20.9) 857 (18.3) 839 (19.7) tip Pigmented 318 (30.6) 864 (25.0) 851 (26.5) 82 University of Ghana http://ugspace.ug.edu.gh Table 8 cont’d Mean (se) ppm x 10-8 Trait Class L-Tyrosine DL-Beta-phenyl- L-Tryptophan Alanin Growth Habit Erect 4700 (844) 24180 (5380) 56570 (68200) Prostrate 1270 (0.00) 5810 (0.00) 38030 (0.00) Semi-erect 9780 (2210) 54230 (40450) 92220 (30360) Semi-prostrate 9580 (5860) 8320 (1860) 51710 (18880) Main pod No pigment 65100 (1020) 34340 (11990) 68250 (10150) pigmentation Splashes of 10910 (3440) 6350 (1610) 56910 (15590) pigments Uniformly nd 9730 (0.00) 42090 (0.00) pigmented Pod colour Brown 5310 (1460) 13800 (1950) 56700 (8290) Buff 5050 (1640) 40870 (15750) 51120 (7330) Dark brown 4870 (0.00) nd 99820 (0.000 Dark mottled 21280 (0.00) nd 60670 (0.00) Dark purple 6010 (0.00) 30600 (0.00) 122730 (0.00) Flesh 7080 (0.00) 3680 (0.00) 43870 (0.00) Light brown 8430 (24000) 100000 (89220) 69790 (39740) Purple 4340 (1390) 16590 (8370) 109730 (67920) Seedcoat Black 1890 (58.1 5240 (0.00) 35380 (0.00) colour Black mottled 15750 (0.00) nd nd Brick red 4180 (4060) 19200 (14550) 42790 (20070) Brown 7370 (3820) 71490 (32780) 45600 (15210) Brown mottled 98000 (4150) 9580 (1650) 42770 (16070) Cream 7140 (1280) 31230 (17130) 68050 (9410) Dark mottled 4010 (1580) 4640 (1180) 32790 (5240) Dirty white 204 (0.00) 1580 (0.00) 16950 (0.00) Flesh 7080 (0.00) 36800 (0.00) 43870 (0.00) Red 2320 (1330) 31700 (10820) 12261 (66030) Seedcoat Black eye 11260 (1690) 20580 (3990) 59650 (8340) pattern Black holstein nd 10570 (0.00) 55960 (0.00) Brown eye 8610 (8410) 15800 (0.00) 16950 (0.00) Golden eye 4340 (0.00) nd 35240 (0.00) Small black eye 5780 (1930) 10600 (2570) 68570 (14590) Small brown eye 5180 (2680) 79090 (63070) 83970 (32180) Solid 5920 (1310) 30030 (8800) 62390 (16390) 83 University of Ghana http://ugspace.ug.edu.gh Table 8 cont’d Mean (se) ppm x 10-8 Trait Class L-Tyrosine DL-Beta-phenyl- L-Tyrptophan Alanine Leaf colour Dark green 7960 (4320) 9510 (14.90) 48580 (12760) Intermediate 6330 (982) 33820 (12990) 69360 (10690) green Pale green 2110 (0.00) 49670 (11940) 43060 (6890) Plant Moderate base tip 8770 (1670) 24160 (8650) 64660 (7330) pigmentation petiole None 7960 (4320) 13600 (1520) 12130 (3800) Very slight 4480 (1050) 35240 (17120) 68130 (14090) Immature pod Non-pigmented 64.20 (1530) 44850 (18410) 60820 (9470) tip colour Pigmented 7240 (1350) 13270 (3030) 73860 (20050) V-markings Absent 6910 (1230) 29700 (11910) 61520 (7110) Present 5480 (1650) 16620 (6520) 83760 (38240) Raceme Below upper 7470 (1720) 16280 (48800 76810 (28540) position canopy In upper canopy 6320 (1230) 28260 (7850) 53420 (6200) Mostly above 4370 (2110) 44890 (31760) 75780 (16530) canopy Terminal Globose 41.80 (938) 18160 (4440) 51160 (6780) leaflet shape Hastate 6770 (2310) 51230 (24500) 55720 (11470) Sub-globose 7450 (1400) 38910 (22150) 86160 (19660) Sub-hastate 11280 (8840) 6770 (1780) 38830 (14210) Flower bud tip Non-pigmented 5950 (1500) 24250 (6320) 52880 (6870) Pigmented 7690 (1320) 41660 (27850) 87950 (23010) 84 University of Ghana http://ugspace.ug.edu.gh L-Aspartic acid: L-Aspartic acid was beyond detection in the accessions which had prostrate growth habit and brick red seed coat colour. The highest mean concentration of (1810.0+0.00) x 10-8 ppm and (1730.0+0.00) x 10-8 ppm were scored for the accessions with dark mottled pod colour and black mottled seed coat colour. L-Valine: L-Valine was present in all the phenotypic classes. The highest mean concentrations of (8110.0+116) x 10-8 ppm, (2290.0+0.00) x 10-8 ppm and (1320.0+445) x 10-8 ppm were scored for the accessions which had brown pod colour, black mottled seed coat colour and red seed coat pattern, respectively. D-Proline: D-Proline was beyond detection in accessions which had black Holstein seed coat pattern. The highest mean concentrations of (2100.0+0.00) x 10-8 ppm, (1730.0+0.00) x 10-8 ppm, (2280.0+0.00) x 10-8 ppm, (1730.0+0.00) x 10-8 ppm and (2050.0+876) x 10-8 ppm were scored for the accessions which had dark mottled pod colour, flesh pod colour, brick red seed coat colour, flesh seed coat colour and black eye seed coat colour, respectively. L-Methionine: L-Methionine was present in all the phenotypic classes. The highest mean concentration of (779.0+0.00) x 10-8 ppm was scored for the accessions which had black mottled seed coat colour. Iso-Leucine: Iso-Leucine was detected in all the phenotypic classes. The highest mean concentration of (936.0+0.00) x 10-8 ppm, (990.0+160) x 10-8 ppm, (969.0+0.00) x 10-8 ppm and (1050.0+100) x 10-8 ppm were scored for the accessions with uniformly pigmented main pod pigmentation, brick red seedcoat colour, dirty white seedcoat colour and red seedcoat colour, respectively. 85 University of Ghana http://ugspace.ug.edu.gh Trans-4-Hydroxy-L-Proline: Trans-4-Hydroxy-L-Proline was present in all the phenotypic classes. The highest mean concentration of (949.0+0.00) x 10-8 ppm, (999.0+1500) x10-8 ppm, (979.0+0.00) x 10-8 ppm, (1060.0+94.4) x 10-8 ppm and (910.0+69.3) x 10-8 ppm were scored for the accessions with splashes of pigments and uniformly pigmented for main pod pigmentation, brick red and dirty white for seedcoat colour, black eye and brown eye for seedcoat pattern, respectively. L-Tyrosine: L-Tyrosine was beyond detection in accessions with uniformly pigmented main pod pigmentation and black Holstein seedcoat pattern. The highest mean concentration of (98000.0+4150) x 10-8 ppm was scored for accessions with brown mottled seedcoat colour and mean concentration of (65100.0+1020) x 10-8 ppm was scored for accessions with no pigment. DL-Beta-phenyl-Alanine: DL-Beta-phenyl-Alanine was beyond detection in the accessions with dark brown and dark mottled for pod colour, black mottled for seedcoat colour and golden eye for seedcoat pattern. The accessions with light brown pod colour had the highest mean concentration of (100000.0+89220.0) x 10-8 ppm, and mean concentration of (79090.0+63070.0) x 10-8 ppm was scored for accessions with small brown eye seedcoat pattern. L-Tryptophan: L-Tryptophan was present in all the phenotypic classes. The highest mean concentration of (1222730.0+0.00) x 10-8 ppm was scored for accessions which had dark purple pod colour. B-Threonine, Glutamine, L-Cysteine, L-Serine, L-Threonine and Lysine: These amino acids were beyond detection in all phenotypic classes. 86 University of Ghana http://ugspace.ug.edu.gh 4.4 Fisher’s Exact test of Association 4.4.1 Association between Source of collection and 12 morphological traits Results for Fisher’s exact test of association between source of collection and the 12 morphological traits are presented in Table 9.The following six morphological traits associated significantly with source of cowpea accession collection: pod colour (P = 0.000), seedcoat colour (P = 0.001), seedcoat pattern (P = 0.000), V-marking (P = 0.000), raceme position (0.000) and terminal leaflet shape (P = 0.009). 4.4.2 Association among Morphological traits Results for Fisher’s exact test of association among the 12 morphological traits are presented in Table 10. Growth habit was significantly associated with three different morphological traits as follows: seedcoat colour (P = 0.032), immature pod tip colour (P = 0.003) and flower bud tip pigment (P = 0.000). Main pod pigmentation was significantly associated with the following four morphological traits: seedcoat pattern (P = 0.003), immature pod tip colour (P = 0.000), terminal leaflet shape (P = 0.020) and flower bud tip pigment (P = 0.005). Pod colour was associated with six morphological traits, seedcoat colour (P = 0.000), seedcoat pattern (P = 0.001), v-marking (P = 0.002), raceme position (P = 0.001), leaf colour (0.000) and flower bud tip pigment (0.040). Seedcoat colour was significantly associated with seedcoat pattern (P = 0.000), immature pod tip colour (P = 0.048), v-marking (P = 0.000) and raceme position (P = 0.022). Seedcoat pattern was associated with immature pod tip colour (P =0.000), v-marking (P = 0.005) and terminal leaflet shape and raceme position (P=0.014). Leaf colour was significantly associated with plant pigmentation (P = 0.000) and terminal leaflet shape (P = 0.010). 87 University of Ghana http://ugspace.ug.edu.gh Immature pod tip colour was significantly associated with flower bud tip pigment (P = 0.000), v- marking was associated with raceme position (P = 0.005). Raceme position was significantly associated with terminal leaflet shape (P = 0.030). Table 9: Fisher’s exact test of association between cowpea morphological traits and source of collection. Trait Fisher’s exact Growth Habit 0.243 Main pod pigmentation 0.309 Pod colour 0.000 Seedcoat colour 0.001 Seedcoat pattern 0.000 Leaf colour 0.109 Plant pigmentation 0.504 Immature pod tip colour 0.598 V-markings 0.000 Raceme position 0.000 Terminal leaflet shape 0.009 Flower bud tip 0.427 88 University of Ghana http://ugspace.ug.edu.gh Table 10: Fisher’s test of association among morphological traits of cowpea Trait Class Fisher’s exact Growth Habit Main pod pigmentation 0.326 Pod colour 0.096 Seedcoat colour 0.032 Seedcoat pattern 0.443 Leaf colour 0.950 Plant pigmentation 0.968 Immature pod tip colour 0.003 V-markings 0.066 Raceme position 0.176 Terminal leaflet shape 0.121 Flower bud tip pigment 0.000 Main pod pigmentation Pod colour 0.509 Seedcoat colour 0.837 Seedcoat pattern 0.003 Leaf colour 0.150 Plant pigmentation 0.745 Immature pod tip colour 0.000 V-markings 0.381 Raceme position 0.538 Terminal leaflet shape 0.020 Flower bud tip 0.005 Pod colour Seedcoat colour 0.000 Seedcoat pattern 0.001 Leaf colour 0.000 Plant pigmentation 0.103 Immature pod tip colour 0.598 V-markings 0.002 Raceme position 0.001 Terminal leaflet shape 0.299 Seedcoat colour Seedcoat pattern 0.000 Leaf colour 0.852 Plant pigmentation 0.078 Immature pod tip colour 0.048 V-markings 0.000 Raceme position 0.022 Terminal leaflet shape 0.313 Flower bud tip 0.065 89 University of Ghana http://ugspace.ug.edu.gh Table 10 cont’d Trait Class Fisher’s exact Seedcoat pattern Leaf colour 0.320 Plant pigmentation 0.956 Immature pod tip colour 0.000 v-marking 0.005 Raceme position 0.014 Terminal leaflet shape 0.014 Flower bud tip 0.457 Leaf colour Plant pigmentation 0.000 Immature pod tip colour 0.665 V-markings 0.103 Raceme position 0.091 Terminal leaflet shape 0.010 Flower bud tip 0.572 Plant pigmentation Immature pod tip colour 0.846 V-markings 0.156 Raceme position 0.868 Terminal leaflet shape 0.374 Flower bud tip 1.000 Immature pod tip colour V-markings 0.067 Raceme position 0.434 Terminal leaflet shape 0.661 Flower bud tip 0.000 v-marking Raceme position 0.005 Terminal leaflet shape 0.079 Flower bud tip 0.127 Raceme position Terminal leaflet shape 0.030 Flower bud tip 0.656 Terminal leaflet shape Flower bud tip 0.586 90 University of Ghana http://ugspace.ug.edu.gh 4.5 Pearson’s Correlation Among 12 Traits in Cowpea Collections. 4.5.1 Correlation Among Traits in cowpea accessions from DPEB Significant Pearson’s correlation coefficients of traits among cowpea genotypes collected from DPEB are presented in Table 11. These comprised 24 pairwise correlation coefficient values among amino acids and 4 and 2 correlation coefficients within mineral elements and polyphenols respectively; 7 between polyphenols and mineral elements, 5 between mineral elements and amino acids and 2 between crude protein and amino acids. Syringic acid correlated significantly with the mineral element calcium (r = 0.891, P < 0.001); Vanillic acid correlated significantly with the mineral element calcium (r = 0.891, P < 0.001) and chromium (r = 1.000, P < 0.001). Gallic acid correlated significantly with mineral elements calcium (r = 0.946, P < 0.001) and chromium (r = 1.000, P < 0.001). L-Aspartic acid also correlated significantly with the mineral elements nickel (r = 0.503, P < 0.01) and manganese (r = 0.641, P < 0.001). There was perfect correlation between L-Isoleucine and Chromium (r = 1.000, P < 0.001). Trans-4-Hydroxy-L-Proline negatively correlated with iron (r = -0.497, P < 0.05) and cadmium (r = -0.946, P < 0.01). L-Tyrosine negatively correlated with iron (r = -0.430, P < 0.05) and positively correlated with cadmium (r = 0.571, P < 0.01). 4.5.2 Correlation among traits in cowpea accessions from SARI Table 12 shows significant Pearson’s correlation coefficients with reference to traits collected from cowpea accessions from SARI. A total of 30 significant pairwise correlation coefficients were estimated. Among the amino acids, six (6) different pairwise correlations were observed, ten (10) 91 University of Ghana http://ugspace.ug.edu.gh among mineral elements and two (2) among polyphenols. Eight (8) pairwise correlations were observed between mineral elements and the amino acids, two (2) between crude protein and amino acids, and one (1) between crude protein and phenols and crude protein and mineral elements, respectively. L-Aspartic correlated significantly with the mineral element iron (r = 0.661, P < 0.001). Trans-4- Hydroxy-L-Proline negatively correlated with the mineral element sodium (r = -0.468, P < 0.01), iron (r = -0.458, P < 0.01) and cadmium (r = -0.619, P < 0.001). L-Tyrosine negatively correlated with the mineral element sodium (r = -0.462, P < 0.01), iron (r = -0.451, P < 0.01) and cadmium (r = -0.586, P < 0.05). 4.5.3 Correlation among traits in the total collection Table 13 presents Pearson’s correlation coefficients for the total population. Sixty (60) different significant pairwise correlations were observed. Among the amino acids, 28 pairwise correlations were observed, three (3) were observed among polyphenols, four (4) for between polyphenols and mineral elements, twenty-two (22) between mineral elements and amino acids and three (3) between crude protein and amino acids. Syringic acid and Vanillic acid correlated significantly with the mineral element calcium (r = 0.886, P < 0.001). Gallic acid correlated significantly with the mineral element calcium (r = 0.942, P < 0.001). Quercetin correlated with the mineral element nickel (r = 0.252, P < 0.05). L-Asparagine negatively correlated with the mineral element potassium (r = -0.350, P < 0.05). DL- Alpha-Alanine negatively correlated with the mineral element sodium (r = -0.330, P < 0.05). L- 92 University of Ghana http://ugspace.ug.edu.gh Aspartic correlated with the mineral element iron (r = 0.439, P < 0.01), nickel (r = 0.460, P < 0.01) and manganese (r = 0.357, P < 0.05). L-Valine correlated significantly with the mineral element chromium (r = 1.000, P < 0.001). L- Methionine correlated with the mineral elements nickel (r = 0.433, P < 0.001), cadmium (r = - 0.400, P < 0.05), and manganese (r = 0.370, P < 0.05). L-Isoleucine negatively correlated with the mineral elements iron (r = -0.454, P < 0.001) and cadmium (r = -0.453, P < 0.05). Trans-4- Hydroxy-L-Proline negatively correlated with the mineral elements nickel (r = -0.436, P < 0.001) and cadmium (r = -0.428, P < 0.05). Dl-Beta-Phenyl-Alanine also positively correlated with the mineral element magnesium (r = 0.370, P < 0.01) and iron (r = 0.303, P < 0.05). Trans-4-Hydroxy- L-Proline negatively correlated with sodium (r = -0.460, P < 0.05), iron (r = -0.458, P < 0.01) and cadmium (r = -0.619, P < 0.05). L-Tyrosine negatively correlated with sodium (r = -0.462, P < 0.05), iron (r = -0.451, P < 0.05) and cadmium (r = -0.586, P < 0.05). 93 University of Ghana http://ugspace.ug.edu.gh Table 11: Pearson’s correlation coefficients among traits in DPEB accessions Syringic acid Vanillic acid Gallic acid L-Histidine Glycine Vanillic acid 1.000*** Gallic acid 0.989*** Quercetin L-Histidine Glycine 0.650* L-Asparagine 0.487** 0.841*** DL-Alpha- 0.610** 0.820*** Alanine L-Aspartic 0.567*** 0.646** L-Methionine 0.419*** 0.790*** L-Tyrosine 0.422** 1.000*** Ca 0.891*** 0.891*** 0.946*** Cr 1.000*** 1.000*** L-Asparagine DL-Alpha- L-Aspartic Alanine DL-Alpha- 0.736*** Alanine L-Aspartic 0.577** 0.464** L-Methionine 0.427* 0.818*** 0.455** L-Isoleucine 0.374* L-Tyrosine 0.519** 0.708*** 0.482** Ni 0.503** Mn 0.641*** Ni Pb Cd -0.549** Mn 0.757** 0.485* Cr 1.000*** 94 University of Ghana http://ugspace.ug.edu.gh Table 11 cont’d L- L- L- Trans-4- L-Tyrosine Isoleucine Methionine Isoleucine Hydroxy-L- Proline Trans-4- 0.974*** Hydroxy- L-Proline L- 0.762*** Tyrosine DL-Beta- 0.520** Phenyl- Alanine Cp 0.404* 0.368* Fe -0.497* -0.430* Cd -0.634** 0.571** Cr 1.000*** 95 University of Ghana http://ugspace.ug.edu.gh Table 12: Pearson’s correlation coefficients among traits in SARI accessions Syringic acid Vanillic Gallic acid L-Histidine Glycine acid Vanillic acid 1.000*** Gallic acid 0.923*** Quercetin L-Asparagine DL-Alpha- L-Aspartic Alanine Valine 0.571** Cp -0.590** Fe 0.661** Valine L- Trans-4- L-Tyrosine DL-Beta- Isoleucine Hydroxy- Phenyl-Alanine L-Proline L-Methionine 0.499** Trans-4- 0.992*** Hydroxy-L- Proline L-Tyrosine 0.631* 0.846*** DL-Beta- 0.688* Phenyl- Alanine L-Tryptophan 0.692*** Cp 0.531** 0.537** Na -0.468** -0.462* Fe -0.458** -0.451* Cd -0.619*** -0.586** Cp Na K Mg K 0.689*** Mg 0.616*** 0.714*** Fe 0.724*** 0.566** 0.668*** Cd -0.723*** Ni Pb Pb 0.512* Mn 0.545** 0.681** Zn 0.984*** 96 University of Ghana http://ugspace.ug.edu.gh Table 13: Pearson’s correlation coefficients among traits in the total cowpea accessions Syringic acid Vanillic acid Gallic acid Quercetin L- Glycine Histidine Vanillic acid 1.000*** Gallic acid 0.989*** 0.989*** Glycine 0.650** L-Asparagine 0.641** DL-Alpha- 0.339** 0.820*** Alanine L-Aspartic 0.646** L-Methionine 0.790 L-Tyrosine 0.761*** DL-Beta- 1.000*** Phenyl- Alanine Ca 0.886*** 0.886*** 0.942*** Ni 0.252* L- DL-Alpha- L-Aspartic Asparagine Alanine DL-Alpha- 0.736*** Alanine L-Aspartic 0.462** 0.739** L-Methionine 0.480** 0.732*** 0.449*** L-Isoleucine -0.461*** L-Tyrosine 0.557*** 0.607*** 0.441** L-Tryptophan -0.409* Na -0.330* K -0.350* Fe 0.439** Ni 0.460** Mn 0.357* 97 University of Ghana http://ugspace.ug.edu.gh Table 13 cont’d: Pearson’s correlation coefficients among traits in the total cowpea accessions. L-Valine L- L- Trans-4- L- DL-Beta- Methionine Isoleucine Hydroxy- Tyrosine Phenyl- L-Proline Alanine Trans-4- 0.992*** Hydroxy- L-Proline L-Tyrosine 0.718*** 0.433** Cp 0.473*** Na -0.338** Mg 0.370** Fe -0.454*** -0.436*** 0.303* Ni 0.433*** Cd -0.400* -0.453* -0.428* Mn 0.370* Cr 1.000*** L-Valine L- L- Trans-4- L- DL-Beta- Methionine Isoleucine Hydroxy- Tyrosine Phenyl- L-Proline Alanine L- 0.499** Methionine Trans-4- 0.922*** Hydroxy- L-Proline L-Tyrosine 0.631* 0.846*** DL-Beta- 0.688*** Phenyl- Alanine Tryptophan 0.692*** Cp 0.531** 0.537** Na -0.460* -0.462* Fe -0.458** -0.451* Cd -0.619* -0.586* 98 University of Ghana http://ugspace.ug.edu.gh 4.6 Phenotypic diversity of cowpea population 4.6.1 Nei’s diversity index Morphological traits: Table 14 shows Nei’s diversity for each of the morphological traits for the two sources of collection. Phenotypic diversity ranged from 0.00 to 0.495 for cowpea accessions from DPEB with a mean of 0.172+0.185. Erect growth habit, splashes of pigment of main pod pigmentation, dark green leaf colour, solid plant pigmentation, absence of v-marking, and raceme position in upper canopy showed the highest diversity values with 0.487, 0.487, 0.495, 0.487, 0.454, 0.442, 0.414 and 0.414 respectively. Phenotypic diversity in the SARI accessions ranged between 0.00 and 0.494 with a mean of 0.171+0.167. Erect growth habit, splashes of pigment of main pod pigmentation, brown pod colour, none plant pigmentation, non- pigmented immature pod tip colour, mostly above canopy raceme position and non-pigmented flower bud tip showed the highest diversity with 0.471, 0.492, 0.494, 0.414, 0.455, 0.414 and 0.494, respectively. 99 University of Ghana http://ugspace.ug.edu.gh Table 14: Nei’s diversity indices for cowpea qualitative traits for sources of collection Trait Class Nei’s Diversity DPEB SARI Growth Habit Erect 0.483 0.471 Prostrate 0.211 0.338 Semi-erect 0.025 0.000 Semi-prostrate 0.025 0.000 Main pod No pigment 0.000 0.038 pigmentation Splashes of pigments 0.487 0.492 Uniformly pigmented 0.383 0.182 Pod colour Black purple 0.189 0.000 Brown 0.167 0.494 Buff 0.000 0.000 Dark brown 0.025 0.000 Dark mottled 0.025 0.000 Dark purple 0.189 0.182 Flesh 0.293 0.038 Light brown 0.025 0.000 Purple 0.000 0.000 Seedcoat colour Black 0.495 0.147 Black mottled 0.000 0.216 Brick red 0.000 0.000 Brown 0.121 0.391 Brown mottled 0.025 0.000 Cream 0.049 0.000 Dark mottled 0.000 0.000 Dirty white 0.097 0.075 Flesh 0.000 0.000 Red 0.000 0.075 White 0.293 0.492 Wine 0.097 0.000 Seedcoat pattern Black Holstein 0.144 0.038 Brown eye 0.000 0.000 Golden eye 0.000 0.000 Holstein 0.121 0.000 Large black eye 0.189 0.000 Small black eye 0.049 0.000 Small brown eye 0.049 0.000 Solid 0.049 0.000 100 University of Ghana http://ugspace.ug.edu.gh Table 14 cont’d Nei’s Diversity Trait Class DPEB SARI Leaf colour Dark green 0.487 0.499 Intermediate green 0.121 0.216 Pale green 0.025 0.000 Plant pigmentation Moderate base tip petiole 0.000 0.000 None 0.313 0.414 Solid 0.454 0.391 Very slight 0.074 0.038 Immature pod tip colour Non-pigmented 0.399 0.455 pigmented 0.349 0.310 V-markings Absent 0.442 0.000 Present 0.331 0.000 Raceme position Below upper canopy 0.049 0.391 In upper canopy 0.414 0.038 Mostly above canopy 0.349 0.414 Terminal leaflet shape Globose 0.097 0.248 Hastate 0.349 0.338 Sub-globose 0.025 0.182 Sub-hastate 0.367 0.147 Flower bud tip Non-pigmented 0.414 0.494 Pigmented 0.349 0.248 Mean 0.172 0.171 Standard deviation 0.185 0.167 101 University of Ghana http://ugspace.ug.edu.gh Crude protein and Mineral elements: Nei’s diversity values for cowpea accessions from DPEB and SARI are shown in Table 15. Phenotypic diversity values in the DPEB accessions varied between 0.00 and 0.483 with a mean of 0.187+190. Among the SARI accessions, diversity varied from 0.00 to 0.499 with a mean of 0.077+0.160. Lead had the highest diversity of 0.499. Polyphenol traits: Table 16 shows Nei’s diversity values for polyphenol traits in the two collection sites. Among the DPEB accessions diversity ranged from 0.00 to 0.495. Syringic acid (class 63.0 – 135.0), vanillic acid (class 12.00 – 87.0) and gallic acid (class 82.0 – 96.0) with the highest diversity of 0.495, 0.475 and 0.495, respectively. Among the SARI accessions diversity varied from 0.00 to 0.455. The highest diversity with 0.455 was scored for quercetin (class 44.0 – 60.0). Amino acid traits: Nei’s diversity index for amino acids is presented in Table 17. Diversity in cowpea accessions varied between 0.00 and 0.493 with a mean of 0.207+0.226. Diversity in cowpea accessions from SARI ranged from 0.00 to 0.499 with a mean of 0.117+0.20. 102 University of Ghana http://ugspace.ug.edu.gh Table 15: Nei’s diversity indices for cowpea crude protein and mineral elements Nei’s diversity Trait DPEB SARI Crude protein 0.000 0.000 Calcium 0.000 0.000 Sodium 0.483 0.000 Potassium 0.000 0.000 Magnesium 0.261 0.000 Iron 0.261 0.000 Copper 0.024 0.000 Nickel 0.000 0.000 Lead 0.440 0.499 Cadmium 0.093 0.334 Manganese 0.428 0.000 Chromium 0.093 0.000 Zinc 0.353 0.164 Mean 0.187 0.077 Standard deviation 0.190 0.160 103 University of Ghana http://ugspace.ug.edu.gh Table 16: Nei’s diversity indices for cowpea polyphenols. Trait Class Nei’s Diversity DPEB SARI Syringic acid 63 .0 – 135.0 0.494 0.338 136.0 – 202.0 0.025 0.000 203.0 – 269.0 0.025 0.000 270.0 – 336.0 0.000 0.000 337.0 – 403.0 0.025 0.000 Vanillic acid 12.0 – 87.0 0.475 0.000 88.0 – 162.0 0.074 0.000 163.0 – 237.0 0.025 0.000 238.0 – 312.0 0.000 0.000 313 – 386.0 0.000 0.000 387.0 – 461.0 0.025 0.000 Gallic acid 82.0 – 96.0 0.494 0.315 97.0 – 184.0 0.121 0.038 185.0 – 272.0 0.025 0.000 273.0 – 360.0 0.000 0.000 361.0 – 448.0 0.000 0.000 449.0 – 535.0 0.000 0.000 Quercetin 44.0 – 60.0 0.211 0.455 61.0 – 76.0 0.331 0.216 77.0 – 92.0 0.211 0.112 93.0 – 107.0 0.074 0.038 108.0 – 123.0 0.074 0.038 Mean 0.123 0.070 Standard deviation 0.171 0.134 104 University of Ghana http://ugspace.ug.edu.gh Table 17: Nei’s diversity indices for cowpea amino acids traits Trait Nei’s diversity DPEB SARI Amino acid Histidine 0.344 0.000 Glycine 0.306 0.000 L-Serine 0.024 0.000 L-Cysteine 0.000 0.000 L-Asparagine 0.492 0.391 DL-Alpha-Alanine 0.493 0.484 Glutamine 0.000 0.000 L-Lysine 0.000 0.000 L-Aspartic acid 0.472 0.484 B-Threonine 0.000 0.000 L-Threonine 0.000 0.000 l-Valine 0.472 0.000 D-Proline 0.472 0.499 L-Methionine 0.000 0.000 Iso-Leucine 0.000 0.000 Trans-4-Hydroxyl-L-Proline 0.000 0.000 L-Tyrosine 0.430 0.365 DL-Beta—PhenylAlanine 0.421 0.000 L-Tryptophan 0.000 0.000 Mean 0.207 0.117 Standard deviation 0.226 0.203 105 University of Ghana http://ugspace.ug.edu.gh 4.6.2 Nei’s analysis of phenotypic diversity in subdivided population Crude protein and Mineral elements traits: Table 18 shows Nei’s analysis of phenotypic diversity in subdivided population for crude protein and mineral elements traits. Total phenotypic diversity (Ht) ranged from 0.000 to 0.492 with a mean of 0.162+0.314. The intra-population diversity (Hs) ranged from 0.000 to 0.468 with a mean of 0.132+0.021. The highest was scored for lead. Phenotypic diversity among populations (Gst) varied between 0.006 and 0.527 with a mean of 0.187. Gene flow (Nm) among population’s estimates ranged from 0.449 to 82.497 with a mean of 2.181. Polyphenol traits: Table 19 shows Nei’s analysis of phenotypic diversity in subdivided population. Total phenotypic diversity for each trait (Ht) ranged from 0.000 to 0.499 with a mean of 0.121. Intra-population diversity (Hs) ranged between 0.000 and 0.474 with a mean of 0.105. Phenotypic diversity among populations (Gst) ranged from 0.000 to 0.560 with a mean of 0.434. Phenotypic diversity ranged from 0.004 to 0.288 for syringic acid, 0.009 to 0.225 for vanillic acid, 0.017 to 0.275 for gallic acid and 0.006 to 0.560 for quercetin. Gene flow (Nm) estimate among population for each of the traits ranged from 1.316 to 118.498. Gene flow estimates for syringic acid ranged from 9.430 to 116.498, 1.716 to 57.496 for vanillic acid, 1.316 to 118.498 for gallic acid and 3.101 to 89.115 for quercetin. 106 University of Ghana http://ugspace.ug.edu.gh Table 18: Total phenotypic diversity (Ht), mean intra-population diversity (Hs) and among population diversity (Gst) and geneflow values in cowpea accessions for crude protein and mineral element traits. Trait Ht Hs Gst Nm Cp 0.000 0.000 - - Ca 0.000 0.000 - - Na 0.325 0.242 0.252 1.450 K 0.000 0.000 - - Mg 0.142 0.131 0.084 5.481 Fe 0.142 0.131 0.084 5.481 Cu 0.012 0.012 0.006 82.497 Ni 0.000 0.000 - - Pb 0.492 0.468 0.048 9.875 Cd 0.227 0.214 0.059 8.004 Mn 0.462 0.214 0.527 0.449 Cr 0.048 0.050 0.025 19.488 Zn 0.268 0.258 0.036 13.530 Mean 0.162 0.132 0.125 16.251 Standard 0.031 0.021 0.167 23.534 deviation 107 University of Ghana http://ugspace.ug.edu.gh Table 19: Total phenotypic diversity (Ht), mean intra-population diversity (Hs) and among population diversity (Gst) and geneflow values in cowpea accessions for polyphenols. Trait Class Ht Hs Gst Nm Syringic acid 63 .0 – 0.499 0.474 0.050 9.430 135.0 136.0 – 202.0 0.256 0.248 0.031 15.442 203.0 – 269.0 0.348 0.247 0.288 1.234 270.0 – 336.0 0.017 0.017 0.009 57.496 337.0 – 403.0 0.040 0.008 0.004 116.498 Vanillic acid 12.0 – 0.000 0.000 - - 87.0 88.0 – 162.0 0.051 0.050 0.027 18.153 163.0 – 237.0 0.300 0.233 0.225 1.716 238.0 – 312.0 0.017 0.017 0.009 57.496 313 – 386.0 0.000 0.000 - - 387.0 – 461.0 0.000 0.000 - - Gallic acid 82.0 – 96.0 0.000 0.000 - - 97.0 – 184.0 0.050 0.049 0.026 18.487 185.0 – 272.0 0.339 0.245 0.275 1.316 273.0 – 360.0 0.033 0.033 0.017 28.491 361.0 – 448.0 0.000 0.000 - - 449.0 – 535.0 0.008 0.008 0.004 118.498 Quercetin 44.0 – 60.0 0.000 0.000 - - 61.0 – 76.0 0.017 0.017 0.09 68.496 77.0 – 92.0 0.483 0.416 0.139 3.101 93.0 – 107.0 0.197 0.196 0.006 89.115 108.0 – 123.0 0.100 0.094 0.560 8.412 124.0 – 139.0 0.058 0.057 0.031 15.627 Mean 0.121 0.105 0.434 3.221 Standard 0.003 0.002 0.152 40.098 deviation 108 University of Ghana http://ugspace.ug.edu.gh 4.7 Principal Component Analysis 4.7.1 Polyphenols Results from principal component analysis of polyphenols are presented in Table 20. From the scree plot (Fig. 1) the first two principal components were more informative. The first principal component (PC1) showed 74.99% variability among the cowpea accessions. The second principal component (PC2) showed 24.87% variation among. The first two principal components therefore accounted for a total of 99.86% variability. Syringic acid, vanillic acid and gallic acid were highly correlated with PC1; quercetin was however highly correlated with PC2. Scatter plot of the first two principal components (Fig. 2) showed one major group made up of about three sub-groups. Accessions RC-03, F2RG004 and IT9K-150-241 formed the smaller sub-group. Accession EMS10-01 was an outlier. Table 20: Principal Component Analysis among Cowpea genotypes showing relative importance of polyphenol traits. PC1 PC2 PC3 Eigenvalue 2.99949 0.99462 0.00589846 % Total variance 74.99 24.87 00.15 % Cumulative 74.99 99.86 100.0 Trait Eigen vectors Syringic 0.5769 -0.0273 -0.4077 Vanillic 0.5769 -0.0272 -0.4082 Gallic 0.5759 -0.0357 0.8167 Quercetin 0.0520 0.9986 0.0069 109 University of Ghana http://ugspace.ug.edu.gh 1 2 3 4 Eigenvalues Mean Fig 1: Scree plot of eigenvalues for cowpea polyphenols 110 0 1 2 3 University of Ghana http://ugspace.ug.edu.gh RC-03 F2RG004 2IT1028K-150-241 SARI-3-11-10G0 24 BAESL0E0D7I B F2RG010 LADUNI 1B G35 SARI-3-E1M1-S8380-02 2S2A13RI-6-2-6 WITA1C0CKI--8T1O7N-3I CS1OOA1LRSN1MI0G-U026O G8-T52T 8 109R 0 0-98-A001 SAASROI-O5-35-5 GS5ARIV-1X3--0177--01021BFBA24AOSR2WOT2GGNU3O070T410A126 G52A02SOO G941 4R2C2--041 EMS10-01 IITO8F672DKR-62G190080-475 AGSPO4S4AA ARLSGIVNBGAA LA2RI-O1X-N5-0T09E-8-M0104 6824 ZITAO0AYIUTSAR8F7V2KX-R- R2098A9K--6137-1 PADI-T-0GU9Y0-0A0902 I3ITT109278KK--269298-69 AGRAC-216 0 5 10 15 PC 1 Fig 2: Scatter plot of PC1 and PC2 of cowpea genotypes for polyphenols 111 PC 2 -1 0 1 2 3 University of Ghana http://ugspace.ug.edu.gh 4.7.2 Crude protein and Mineral elements Results of principal component analysis for crude protein and the mineral elements are shown in Table 21. From the scree plot (Fig. 3) the first two principal components were more informative. The first principal component (PC1) showed 41.31% variability among the cowpea accessions while the second principal component (PC2) showed 20.57%. The first two principal components therefore showed a total of 61.88% variability. PC1 was highly and positively correlated to sodium, potassium, magnesium and iron. PC2 was highly and positively correlated to calcium, and nickel. Scatter plot of the first two principal components (Fig. 4) showed two major groups with two outliers. The two outliers were accessions EMS10-01 and 4223. Table 21: Principal Component Analysis among Cowpea genotypes showing relative importance of crude protein and mineral elements traits. PC1 PC2 PC3 Eigenvalue 2.89163 1.43964 1.04293 % Total variance 41.31 20.57 14.90 % Cumulative 41.31 61.88 88.47 Trait Eigen vectors CP (%) -0.1195 -0.4937 0.7009 Ca (ppm) -0.0451 0.5429 0.0413 Na (ppm) 0.5246 -0.0482 -0.2666 K 0.5159 -0.0535 0.0967 Mg 0.4786 -0.0801 0.3829 Fe 0.4185 0.3900 0.2083 Ni -0.1951 0.5457 0.4864 112 University of Ghana http://ugspace.ug.edu.gh 0 2 4 6 8 Eigenvalues Mean Fig. 3 Scree plot of eigenvalues of cowpea genotypes for mineral elements and crude protein 113 0 1 2 3 University of Ghana http://ugspace.ug.edu.gh EMS10-01 BOTN006 G7 RGC3-115 03 1 SAWRAFV2C2X2RC-10GI39-T0-0O07N2I F2RG010 BOTNA0S0O2O9 AGRAC-216 4223 G50 F2RG01A1SOO4 IT08 G22 F2RG009 IT07SKA-R29I-92--6590-80 SAR KI--135-101-2-8140810 F2RG012 IT08K- SARI-6-299 G24 BELEDI BG80 IT86D-610 RC-04LADUNI 1B ITO7K-299-6 AS007 IT98PKAA-SD6O2II-8TNT0UT8EYKMA-137-1 3G1O2 LINGA SAITRAPAGBO I-75K-5-5AALA-298-45 SARI-1-50-81 SRZAACRA-0YV1UX-R0SA7A-R00V1X-09-004 SOSNAGRI-6-2 BAWUTA OTIRT1A-60K-817-3 -2 0 2 4 6 PC 1 Fig.4 Scatter plot of PC1 and PC2 of cowpea genotypes for mineral elements and crude protein 114 PC 2 -2 0 2 4 6 University of Ghana http://ugspace.ug.edu.gh 4.7.3 Amino acids Principal component analysis results for amino acid traits are shown in Table 22. From the scree plot (Fig. 5) the first two principal components were more informative. The first principal component (PC1) explained 40.67% variability among the cowpea accessions. The second principal component (PC2) explained 28.01% variation among the cowpea accessions. The first two principal components therefore showed a total of 68.68% variability. PC1 was highly and positively correlated to L-Isoleucine and Trans-4-Hydroxy-L-Proline. PC2 was highly correlated with L-Histidine, L-Valine and L-Methionine. Scatter plot of the two principal components are presented in Fig.6. One major group with sub-groups were observed. Accessions F2RG011, SARVX-09-004 and IT07K-298-45 were outliers. Table 22: Principal Component Analysis among Cowpea genotypes showing relative importance of amino acid traits. PC1 PC2 PC3 Eigenvalue 2.03335 1.40041 0.794264 % Total variance 40.67 28.01 15.89 % Cumulative 40.67 68.68 84.56 Trait Eigen vectors L-Histidine 0.0563 0.6856 0.6820 LValine 0.0679 0.5799 -0.7238 L-Methionine -0.1592 0.5660 0.0414 L-IsoLeucine 0.6949 0.0065 0.0031 Trans-4-Hydroxy-L-Proline 0.6957 0.0191 0.0224 115 University of Ghana http://ugspace.ug.edu.gh 1 2 3 4 5 Eigenvalues Mean Fig. 5 Scree plot of eigenvalues of cowpea genotypes for amino acids 116 .5 1.5 0 1 2 University of Ghana http://ugspace.ug.edu.gh F2RG011 IT08K- G5 G50 F2RG012 SONGOTRA GACS8OO0L GOM74UT1S0A-0R1I-13-17-12 SARVX-09-004 ASITO0O7K3-299-69 ZAAYURA ITO7K-298-45 AWGGA ERCMACCSI-3-T20O1-0622 N 2I BEF2L2ER1D3GI0 SITA0R8K B07 SFA2RRI-GIS6-3 -150- -0A2-1R19019V-X1 2-040019-002 SAIGRTA03I-A8S52SK-05O-10O3-8790-1SLADR0UI8-A1N-SI5 O10B-N8TEMG24 6824 1 RIT98BORTCN-00302 RC-01 SA C-04 K-628 SARI-5-5-5 SAPRAVD RI-IT-6-2-6 IT10K-817-3 APAGBAALA X-037 U 1-0 Y0A2 1 SA1ER14MI12-3S2-11 GOLINGAI0T1--O081B78KA-W29U9T-6A 4223 IT86D-610 -2 0 2 4 6 PC 1 Fig.6 Scatter plot of PC1 and PC2 of cowpea genotypes for amino acids 117 PC 2 -2 0 2 4 6 University of Ghana http://ugspace.ug.edu.gh 4.7.3 Combined traits Principal component analysis results for combined traits of polyphenols, crude protein, mineral elements and amino acids are shown in Table 23. From the scree plot (Fig. 7) the first four principal components were more informative. The first principal component (PC1) explained 27.00% variability among the cowpea accessions. The second principal component (PC2) explained 20.67%. The third principal component (PC3) explained 15.41% variation and the fourth principal component (PC4) explained 9.07% variation. The first four principal components therefore showed a total of 72.35% variability. Relatively PC1 was highly and positively correlated with syringic acid, vanillic acid, gallic acid but calcium and sodium showed a high and negative correlation. PC2 was highly correlated with sodium and iron. PC3 was also correlated with isoleucine and trans-4-hydroxy-l-proline positively. PC4 was positively correlated with L-valine. Scatter plots of the first four principal components are presented in Fig.8. Scatter plot for the first two principal components showed two major groups, accessions 312, SARVX-09-004 and IT07- 298-45 formed a sub-group of the larger group. Accessions SARI-1-50-81 and IT08K- formed a sub-group of the smaller group. Accessions 4223 and EMS10-01 were outliers. Scatter plots for PC1 and PC3 showed one major group with sub-groups, four outliers were identified. One major group with sub-groups was observed for scatter plot for PC1 and PC4. There were three outliers. Two major groups with outliers were identified for PC2 and PC3. One major group with sub- groups and two outliers were identified for scatter plot for PC2 and PC4. Scatter plot for PC3 and PC4 showed one major group with sub-groups and two outliers. 118 University of Ghana http://ugspace.ug.edu.gh Table 23: Principal Component Analysis among Cowpea genotypes showing relative importance of the combined traits of polyphenols, amino acids, crude protein and mineral elements. PC1 PC2 PC3 PC4 Eigenvalue 4.31953 3.33915 2.4663 1.45123 % Total variance 27.00 20.87 15.41 9.07 % Cumulative 27.00 47.87 63.28 72.35 Trait Eigen vectors Syringic 0.4608 -0.0356 0.1605 0.0513 Vanillic 0.4609 -0.0356 0.1604 0.0513 Gallic 0.4603 -0.0361 0.1700 0.0624 Quercetin 0.0959 0.1167 -0.2166 -0.0742 L-Histidine -0.0742 -0.1284 -0.0406 0.4794 LValine -0.1033 0.0286 0.0412 0.6363 L-Methionine 0.0119 -0.1435 -0.3828 0.3957 L-IsoLeucine -0.1573 -0.3071 0.4177 0.0688 Trans-4-Hydroxy-L-Proline -0.1558 -0.3069 0.4145 0.0852 CP (%) -0.1730 -0.2370 0.2554 0.0530 Ca (ppm) 0.4468 -0.0284 0.2000 0.0799 Na (ppm) -0.812 0.4581 0.1734 -0.1057 K -0.0772 0.3926 0.3088 0.0791 Mg -0.0892 0.3640 0.2298 0.2420 Fe 0.0568 0.4419 -0.0171 0.2702 Ni 0.1884 -0.0857 -0.2915 0.1546 119 University of Ghana http://ugspace.ug.edu.gh 0 5 10 15 Eigenvalues Mean Fig.7 Scree plot of eigenvalues of cowpea genotypes for combined traits 120 0 1 2 3 4 University of Ghana http://ugspace.ug.edu.gh ISTAOR7VK4223 X -2-0998--04054 ITO7K-298-EMS10-01 SARVXE-0M9 45 S-01004-01 IT10K-817-3 IT10K-817-3 ITBSSITO7K-299-6 ITO7K-AGAEA0RRLR8EIAIKI---D63C3--1-I--2 1152B911019---618208401 SSAARRII--15-- 259-59-6 SARI-5-5-5 ITO7K-299-6 SARI-1-50-81 50-81 SARI-1-50-81 IT08K- SBI 422 PTAA9RW8DI312 K 3-U6-6T-22A-86 ITS9A8RKBI--6A62-W82-U6TA 4223 ZSRAAACGA I-TUYA P R-RY0VUA4XRC-0A-271-0601 31Z2RASCA AYDI-TUYA SONGOTRA SONA-R0 UV4RXA-0 IRTS0CA8-0K1- RCG-O01TRA 7-001AGRAC-216 IT08K- GASSIATIPOA ATS0AR0 RLO8G8I IIN-6-299 SA I-6-299I-K-KB3 3TG--11-8-1-A1E5AA310M7L--12-A10 80 SARI-3-11-8841 GOALAIPSNAOIGTGNA0B8TAKEA-M1L3A7SI-T1A0R8KI-3-1-1510--120401 SAIL1TAS10RDO18IUKO-2-N91-5I3 017-B-810 I BTITE087L6KED-D2-6I9 1B90-69 ITI8T60D7-K6-12099-6B9ELEDI B BIAT2BF0WR2O721CKTUR3-N-T0G23A0900907 ALASDOUON9I 1B LAASDOUON9I 1B AASWSSAAOGOIT8R6CN 3VODC 5 -TX 4 6IE-1-0T 2- M09O 69 -NI SARVX-09-002 SARVX-09-002APAGGB24AALA 002 EMS10-01 SBFAO2RGTRING2-204111 0- 050207 G2B4FO2TRNG000027 SRPFAGAC2FRD5R-20GI0V R 7I 1-TGU0Y1A0 -80 1S1A1RI-2-50-80 RC-0-G46X0--210-176-001 AW2GS2AG1O7C3OC54I-TONI G7 GWA2S32A5O1C3O4 ITSSZIG1TOA09OARNK8YLIG-K-U8I5-ON1-6R5GT72A-R8 CI-TONI G22 A53G80 A GGFRG52C02R8-0G03010 G820G2F25R312 0R GC0-1003 F2RG011 F2RG011 SARVX-09-004 ITO7K-298-45 -5 0 5 10 15 -5 0 5 10 15 -4 -2 0 2 4 6 PC1 PC1 PC2 F2RG011 F2RG011 F2RG011 IT08K- IT08K- IT08K- ISTAOR7VXAGKR-2 -0998--0404 SARAC-2516 ITO7K- V2X9-80-94-5004 SARAGRAC-216 AGRAC-216 ITO7 VKX--20998--04054 AGGS5O70 O4 GG75A0SOO4 G5G0A7SOO4 IITT0078KK--219590--62941 IT07K-299-6IT908K-150-241 IT08K-150-241SONGOTRA IT07K-299-69EMS10-01 SONEGMOS1T0R-A01 SONGOTRA EMS10-01 SARI-3-11-100 SARI-3-11-100 SARI-3-11-100 SARI-6-299 SARI-6-299 SARI-6-299 ZSABW2AER2 G SYLAI1- 80 G80 OEU1C3D-ORC5I9A0I -B-T8O1NI ZAAYWU2A2R G80 A1CSA3COIO-T9OSNABIRELI-E1-D5I0 B-81 W22A1C3CABIS-ETOLOOENZ9DIAI ABSYAURRI-A1-50-81 IRTSCB9AF8O-2R0KTR4I--N6G320-01800127-88 IRT9C8-0KB4F-O622TR8NG000027 SARI-3-11-88 FB2ORTGN002G35 G35 G35 00S7ARRCITI--90384K-628ITS1AG0IRTK20I--2885K1-57-1--5337-1 GSIT2A12R0KI--58I-T1507-58-3K-137-1 G22 IT08K-1S - 3A 11- 7R-1II 8-T581-50-K5-817-3 SIRPTAASSACOFSRAAD-27O0ICRRI-K1-6N-VIT-G0--2TXU2309-E--Y15690MA0-96--80002 SPFRAA2SACRDAS-RI0GI-ROS-16CT0VNA--U12X0TR0-Y3-6EI0A-M29--5000I-2T8O0 7K-299-6 RFC2-R0SG3AS0RA10RI-2VA-X5RS-0C0O-P98-SN0A-A01TD0IRETI2-MIOT-6U7-K2Y-A6299-6 3SG1ALO2RALVDGINXU2G-N40A7I -10B01 312GSOGALR2IN4VGLXA-DUNI 1B G24LADGUON3LI1I N12BGAAPAGBAALA APAGB07A-A0L0A1 APSAAGRBVAXA-L07-001 B4A2W23UTA BAWUTA 4223 B4A2W23 A UTA 111 111 111 IT86D-610 IT86D-610 IT86D-610 -5 0 5 10 15 -4 -2 0 2 4 6 -4 -2 0 2 4 PC1 PC2 PC3 Fig.8 Scatter plots of PC1,PC2,PC3 and PC4 of cowpea genotypes for combined traits 121 PC4 PC2 -2 -4 -2 0 2 4 0 2 4 6 PC4 PC3 -2 -4 -2 0 2 4 0 2 4 PC4 PC3 -2 -4 -2 0 2 4 0 2 4 University of Ghana http://ugspace.ug.edu.gh 4.8 Cluster Analysis Polyphenols: Figure 9 shows a dendrogram of cowpea accessions constructed from polyphenol data. The scale for measure of dissimilarity ranged between 0 and 2000. Two major clusters were observed at a dissimilarity measure of 1500. Accessions EMS10-01 formed one group. Mineral elements and crude protein: Dendrogram constructed from data mineral elements and crude protein is shown in Fig. 10. Scale of dissimilarity measure ranged between 0 and 80. At a dissimilarity measure of 80, two clusters were identified. The major cluster was made up of 54 cowpea accessions, while the other cluster consisted of only accession EMS10-01. Amino acids: Figure 11 shows dendrogram of cowpea accessions constructed from amino acids data. The scale of dissimilarity measure ranged from 0 to 0.0002. At a dissimilarity measure of 0.00015 two clusters were formed. The smaller cluster comprised the three cowpea accessions Songotra, Zaayura and F2RG011. Combined data: Dendrogram constructed from combined data is presented in Fig. 12. Scale of dissimilarity measure ranged from 0 to 2000. At a dissimilarity measure of 1500, two clusters were formed. One cluster consisted of only one accession (accession EMS10-01). The major cluster consisted of 49 accessions. 122 University of Ghana http://ugspace.ug.edu.gh Fig.9 Dendrogram of cowpea genotypes for polyphenols 123 Dissimilarity measure 1000 1500 2000 500 0 RC-01 422 G22 G5 F2RG011 BAWUTA G50 SARI-13-17-12 111 BOTN006 BOTN002 ASOO4 SARVX-07-001 SARI-5-5-5 SONGOTRA SARI-2-50-80 SARI-6-299 SARI-6-2-6 IT10K-817-3 SARI-3-11-88 2213 WACCI-TONI COLMUT10-01 312 ITO7K-299-6 IT08K- SARVX-09-004 IT86D-610 442 6824 ZAAYURA SARVX-09-002 IT07K-299-69 RC-04 GOLINGA APAGBAALA ITO7K-298-45 SARI-1-50-81 AGRAC-216 PADI-TUYA IT98K-628 4223 AS008 ASOO3 ASOO9 ASONTEM AS007 SARI-3-11-100 BELEDI B F2RG010 212 IT08K-150-241 F2RG004 RC-03 LADUNI 1B F2RG007 F2RG009 G7 IT08K-137-1 EMS30-02 G41 G80 G35 G24 EMS10-01 University of Ghana http://ugspace.ug.edu.gh Fig.10 Dendrogram of cowpea genotypes for mineral elements and crude protein 124 Dissimilarity measure 20 40 60 80 0 RC-01 SARVX-07-001 ZAAYURA SARI-5-5-5 APAGBAALA 2213 BOTN006 F2RG009 IT98K-628 312 RC-04 G50 GOLINGA BOTN002 ITO7K-298-45 SONGOTRA SARI-6-2-6 BAWUTA SARI-1-50-81 SARVX-09-004 IT10K-817-3 AS007 G24 LADUNI 1B G35 SARI-2-50-80 WACCI-TONI RC-03 ASOO4 PADI-TUYA ASONTEM ASOO9 G7 F2RG012 F2RG011 IT08K-137-1 IT86D-610 IT07K-299-69 111 F2RG007 SARVX-09-002 F2RG010 G80 G22 AGRAC-216 SARI-6-299 BELEDI B IT08K- SARI-3-11-88 SARI-3-11-100 IT08K-150-241 4223 ITO7K-299-6 EMS10-01 University of Ghana http://ugspace.ug.edu.gh Fig.11 Dendrogram of cowpea genotypes for amino acids 125 Dissimilarity measure .00005 .00015 .0001 .0002 0 RC-01 SARVX-07-001 EMS10-01 BAWUTA BOTN002 G35 APAGBAALA RC-03 SARI-2-50-80 F2RG007 PADI-TUYA AGRAC-216 ASOO3 SARI-13-17-12 312 GOLINGA IT10K-817-3 111 G24 422 4223 IT86D-610 ITO7K-299-6 SARI-3-11-88 BELEDI B 6824 F2RG010 SARI-6-2-6 SARI-5-5-5 LADUNI 1B IT08K-137-1 G50 RC-04 IT98K-628 SARI-6-299 SARI-1-50-81 IT08K-150-241 ASOO4 2213 AS008 G22 ASOO9 SARI-3-11-100 COLMUT10-01 ASONTEM G5 F2RG012 G7 ITO7K-298-45 IT08K- EMS30-02 IT07K-299-69 SARVX-09-004 WACCI-TONI G80 SARVX-09-002 F2RG011 ZAAYURA SONGOTRA University of Ghana http://ugspace.ug.edu.gh Fig.12 Dendrogram of cowpea genotypes for combined traits 126 Dissimilarity measure 1000 1500 2000 500 0 RC-01 G22 RC-04 F2RG011 G50 BAWUTA 2213 WACCI-TONI SONGOTRA SARI-2-50-80 SARI-6-299 SARI-3-11-88 312 ITO7K-299-6 IT08K- SARVX-09-004 IT86D-610 GOLINGA ITO7K-298-45 APAGBAALA SARI-1-50-81 ZAAYURA SARVX-09-002 IT07K-299-69 IT98K-628 AGRAC-216 PADI-TUYA 111 SARI-6-2-6 IT10K-817-3 BOTN002 SARVX-07-001 ASOO4 SARI-5-5-5 4223 BELEDI B SARI-3-11-100 F2RG010 RC-03 IT08K-150-241 LADUNI 1B F2RG007 G7 ASOO9 ASONTEM G35 G80 IT08K-137-1 G24 EMS10-01 University of Ghana http://ugspace.ug.edu.gh 4.9 Genetic diversity and population structure 4.9.1 Genetic diversity Allele Frequencies and Nei’s genetic diversity: Table 24 shows some aspect of genetic variation statistics for the three cowpea SSR markers. A total of eight loci were identified. The allele frequencies ranged from 0.067 (marker 34, SSR1-1) to 0.803 (marker 21, SSR2-1). Nei’s genetic diversity ranged between 0.246 (marker 34, SSR1) and 0.689 (marker 35, SSR1) with a mean of 0.542. 4.9.2 Population structure Bayesian Clustering: Population structure analysis showed that K = 4 was the most suitable number of sub-populations. This implies that there were four sub-populations in the cowpea accessions as shown in Fig.13. Table 25 presents proportion of inferred ancestry of individual accessions in each of the four clusters. Cluster 1 had the lowest proportion of membership of 0.124, while Cluster 3 had the highest proportion of 0.317. 127 University of Ghana http://ugspace.ug.edu.gh Fig. 13 Population structure of cowpea accessions in K=4 clusters. Red = cluster 1; Green = cluster 2; Yellow = cluster 3; Blue = cluster 4. Membership probabilities of accessions in each cluster: Table 26 shows membership probabilities for inferred ancestry of individual cowpea accessions in each of the four clusters. Membership probabilities ranged from 0.466 (GENO06, cluster 3) to 0.985 (GENO69, cluster 1). Estimated allele frequency in each cluster: Table 27 shows the estimated frequencies for ancestral alleles and those in each of the four clusters. Ancestral allele frequencies ranged between 0.128 (SSR1-2, SSR21-2) and 0.802 (SSR8-1). Within Cluster 1 the allele frequencies ranged from 0.008 (SSR7-2) to 0.993 (SSR8-1), while in Cluster 2 they ranged from 0.001 (SSR2-2, SSR7-2) to 0.998 (SSR8-2). The allele frequencies in Cluster 3 ranged from 0.012 (SSR2-2) to 0.913 (SSR3-1), while in Cluster 4 they ranged between 0.003 (SSR7-2) to 0.997 (SSR5-1). 128 University of Ghana http://ugspace.ug.edu.gh Allele-frequency divergence among clusters: Table 28 shows results for allele-frequency divergence among the four clusters. It ranged from 0.145 (between Clusters 2 and 4) to 0.466 (between Clusters 1 and 3). Average distance (expected heterozygosity) between individual in the same cluster: Results for average distance between individual cowpea accessions in the same cluster are presented in Table 29. Average distance ranged from 0.084 (in Cluster 4) to 0.26 (in Cluster 3). Genetic differentiation (Fst) and geneflow (Nm): Table 30 shows results for mean genetic differentiation and gene flow among the four clusters. Mean Fst values ranged from 0.374 (Cluster 3) to 0.687 (Clusters 2 and 4). Mean gene flow ranged from 0.228 (Clusters 2 and 4) to 0.837 (Cluster 3). 129 University of Ghana http://ugspace.ug.edu.gh Table 24: Genetic variation statistics for three cowpea SSR loci Marker Loci Allele Allele Nei’s diversity frequency 34 SSR1 0 0.933 1 0.067 0.246 SSR2 0 0.739 1 0.261 0.545 SSR3 0 0.360 1 0.640 0.654 35 SSR1 0 0.547 1 0.453 0.689 SSR2 0 0.378 1 0.622 0.663 SSR3 0 0.765 1 0.235 0.546 21 SSR1 0 0.822 1 0.178 0.469 SSR2 0 0.197 1 0.803 0.497 Mean 0.542 Standard deviation 0.144 Allele 0 = absent; Allele 1 = present Table 25: Overall proportion of membership of the sample in each of the 4 clusters Cluster Proportion of membership 1 0.124 2 0.317 3 0.281 4 0.278 130 University of Ghana http://ugspace.ug.edu.gh Table 26: Membership probabilities of Inferred ancestry of individual cowpea genotypes Cluster Accession name Individual Probability 1 IT01K-298-45 GENO20 0.840 1 6312 GENO52 0.547 1 422 GENO67 0.969 1 F2RG007 GENO68 0.984 1 F2RG010 GENO69 0.985 1 F2RG009 GENO70 0.967 2 Padi-tuya GENO2 0.942 2 Asontem GENO4 0.952 2 * GENO7 0.956 2 BELEDI B GENO25 0.934 2 IT07K-299-69 GENO26 0.913 2 SARI-3-11-180 GENO27 0.917 2 4228 GENO28 0.955 2 IT08K- GENO36 0.918 2 SARI-6-2-9 GENO37 0.902 2 SARI-3-11-100 GENO39 0.956 2 EMS10-01 GENO40 0.956 2 BOTN003 GENO41 0.963 2 AS006 GENO42 0.963 2 EMS30-02 GENO43 0.901 2 AS010 GENO47 0.915 2 AS009 GENO53 0.954 2 RC-02 GENO54 0.952 2 AS003 GENO55 0.961 2 F2RG004 GENO56 0.662 2 684 GENO57 0.961 2 BON006 GENO58 0.958 2 RC-01 GENO60 0.500 2 G80 GENO61 0.913 2 G5 GENO76 0.961 3 Zaayura GENO1 0.863 3 Apaagbala GENO3 0.891 3 Bawuta GENO5 0.975 3 Songotra GENO6 0.466 3 * GENO22 0.912 3 * GENO23 0.959 3 * GENO24 0.883 3 IT08K-150-24 GENO32 0.910 131 University of Ghana http://ugspace.ug.edu.gh Table 26 cont’d Cluster Accession name Individual Probability 3 Agrac-216 GENO33 0.860 3 SARI-1-50-81 GENO34 0.908 3 AS005 GENO35 0.913 3 IT08K GENO38 0.807 3 WACCI TONI GENO44 0.913 3 BOTN002 GENO45 0.857 3 2213 GENO46 0.980 3 AS010 GENO48 0.967 3 L69 GENO49 0.867 3 G41 GENO59 0.976 3 G84 GENO62 0.965 3 212 GENO63 0.941 3 442 GENO72 0.943 3 G35 GENO73 0.575 3 G7 GENO74 0.514 3 G22 GENO75 0.847 4 * GENO7 0.941 4 * GENO8 0.945 4 * GENO9 0.968 4 * GENO10 0.820 4 * GENO11 0.942 4 * GENO12 0.680 4 SARVX-09-04 GENO13 0.967 4 * GENO14 0.969 4 * GENO15 0.946 4 SARI-13-17-2 GENO18 0.970 4 SARI-5-5-5 GENO19 0.944 4 111 GENO29 0.968 4 SARI-2-50-80 GENO30 0.584 4 LUNDI 1B GENO31 0.969 4 AS004 GENO50 0.968 4 COLMUT10-01 GENO51 0.968 4 Asontem GENO64 0.820 4 F2RG004 GENO65 0.969 4 RC-03 GENO66 0.588 4 I98K-503-1 GENO71 0.969 4 F2RG002 GENO77 0.846 132 University of Ghana http://ugspace.ug.edu.gh Table 27: Estimated Allele Frequencies in each cluster Locus Allele Ancestral Cluster 1 Cluster 2 Cluster 3 Cluster 4 SSR1 1 0.295 0.616 0.005 0.130 0.053 * 2 0.705 0.384 0.995 0.870 0.947 SSR2 1 0.452 0.316 0.510 0.311 0.289 2 0.128 0.656 0.001 0.012 0.001 * 3 0.420 0.028 0.489 0.677 0.710 SSR3 1 0.757 0.240 0.994 0.913 0.992 * 2 0.243 0.760 0.006 0.087 0.008 SSR4 1 0.612 0.978 0.898 0.027 0.995 * 2 0.388 0.022 0.102 0.973 0.005 SSR5 1 0.781 0.984 0.998 0.430 0.997 * 2 0.219 0.016 0.002 0.570 0.003 SSR6 1 0.463 0.952 0.006 0.095 0.993 * 2 0.537 0.048 0.994 0.905 0.007 SSR7 1 0.382 0.972 0.394 0.146 0.024 2 0.128 0.008 0.001 0.048 0.003 * 3 0.491 0.020 0.605 0.806 0.973 SSR8 1 0.802 0.993 0.998 0.842 0.970 * 2 0.198 0.007 0.002 0.158 0.030 • Frequency of missing allele Table 28 Allele-frequency divergence among pops (Net nucleotide distance), computed using point estimates of P. Cluster 1 Cluster 2 Cluster 3 Cluster 1 Cluster 2 0.314 Cluster 3 0.466 Cluster 4 0.280 0.145 0.265 133 University of Ghana http://ugspace.ug.edu.gh Table 29: Average distances (expected heterozygosity) between individual cowpea genotypes in the same cluster: Cluster Average distance 1 0.193 2 0.131 3 0.267 4 0.084 Table 30: Estimated mean genetic differentiation (Fst) and gene flow among the four clusters. Cluster Mean Fst value Gene Flow 1 0.632 0.291 2 0.687 0.228 3 0.374 0.837 4 0.687 0.228 134 University of Ghana http://ugspace.ug.edu.gh 4.10 Principal Component Analysis Table 31 shows the results for principal component analysis. The first two principal components explained 23.17% and 21.30% of the total variation, respectively. The first two principal components therefore explained 44.47% of the total variation. The first four principal components however explained a total of 71.11% of the total variation. PC1 was positively correlated with markers SSR4 and SSR5. PC2 was negatively correlated with marker SSR3 but positively associated with SSR2 and SSR7. PC3 was positively associated with marker SSR6 but negatively associated with marker SSR8. PC4 was positively associated with markers SSR1, SSR3 and SSR8 but negatively associated with marker SSR7. Scatter plots of the four principal components are presented in Fig.15. One major group with sub-groups was formed with an outlier GENO69 (accession F2RG010) by scatter plot for PC1 and PC2. Scatterplot for PC1 and PC2 also formed one major group with outliers. PC1 and PC4 formed three major groups; the smallest group was made up of GEN062 (accession G84), GEN038 (IT08K) and GEN046 (accession 2213). PC2 and PC3 also formed three main groups with genotypes GEN024, GEN077 (F2RG002) and GEN023 as outliers. PC2 and PC4 formed three main groups. PC3 and PC4 formed one major group with sub-groups. 4.11 Cluster analysis Dendrogram of cowpea accessions based on genetic data is presented in Fig. 16. The scale for dissimilarity measure ranged between 0 and 2.5. Two major clusters were formed at a dissimilarity measure of 2.5. The larger cluster formed four sub-clusters, while the smaller main cluster formed three sub-clusters. 135 University of Ghana http://ugspace.ug.edu.gh Table 31: Principal Component Analysis among Cowpea genotypes based on polyphenol traits. PC1 PC2 PC3 PC4 Eigenvalue 1.85396 1.70388 1.19082 0.940238 % Total variance 23.17 21.30 14.89 11.75 % Cumulative 23.17 44.47 59.36 71.11 Trait Eigen vectors SSR1 -0.1434 0.3699 0.4419 0.5663 SSR2 -0.1271 0.4554 -0.1648 0.2643 SSR3 0.2959 -0.4131 0.0381 0.4769 SSR4 0.5934 0.3162 -0.0137 -0.1547 SSR5 0.6221 0.0711 -0.2218 -0.0426 SSR6 0.2842 0.2914 0.6322 -0.1000 SSR7 -0.2305 0.4301 -0.1184 -0.4302 SSR8 0.0531 0.3321 -0.5596 0.4009 136 University of Ghana http://ugspace.ug.edu.gh 0 2 4 6 8 Eigenvalues Mean Fig.14 Scree plot of eigenvalues of cowpea genotypes for SSR markers 137 .5 1.5 0 1 2 University of Ghana http://ugspace.ug.edu.gh GENO24 GENO24 GENO689 GENO77 GENO77 GEGNEON76O071260 GENO60 GENO52 GENO734 GENO56 GENO38 GENO23 GENO23 GENO38 GENO38 GEGNEOGN45EO13712GENOG4E9NO1 GGEEN NNOOO366106127804159 GENO6140 GENO1640 GENGOE7N5O62 GGEENNOO5473657324159807 GENO75316299410538 GENO46 GENOG6E98NO1206 GENO46 GENOG12E06NO698 GGEENNOO674236 GENO43853 GENO62 GENO62 GENO2436176 GENO49 GENO57693120519348 GENGOEGENO12 G2753196 N1403895O49 GENO2453254 GGENENOO6306 E 1728519 GGEEN NOO636012 GENO59 NO2871519 GENO77 GENO59 GGEENNOOG667E007NO52 GENO59 GEGNEONG5OE2N60O6707 GENOG7E5NO6723 GENOG76E23NO75 GENO24 GENO4325452 GENO3452425 GENO23 GENO734 GENO2634176 GENO3642176 GENO734 GENOG34835GEENNOO45735372643451257908 GEGNGOEENN34538OO41253574395807734256GENO1GE GENO1GNEON5O654173 GGEENNOO5471356 -4 -2 0 2 -4 -2 0 2 -4 -2 0 2 4 PC 1 PC 1 PC 2 GENO62 GENO62 GENO62 GENO38 GENO38 GENO38 GENO46 GENO46 GENO46 GENO6140 GENO6140 GENO1604 GENO60 GENO60 GENO60 GENO1206 GENO2160 GENO2160 GENO34853 GENO43583 GENO34853 GENO59 GENO3421575089 GENO59GENO5213458790 GENO1342509587GENO5423524 GENO8271159 GENO4235245 GENO7182915 GENGOEG3245N245EON5O91872519 GENO49 GENO2436671 GENO6423761GENO32517969130584 GENGOE6917235N9531084O49 GENO2436176 GGEENNOO5179632491803459 GENO6732 GENGOE6N98O45173GENO1 GENO52 GENO7623 GENO45137 GENO698 GENO45173 GENO689 GENGOE1NO52 GENOG1EGNEON76O2352 GENGOE5N6O4573235764 GENOG5743E352467NO56 GGEENNOO563754635427 GENO6360 GENO6360 GENO3606 GENO743 GENO743 GENO743 GENO2G3 ENO12 GENO12 GENO12GENO75 GENO24 GEGNEON2O324 GENO23 GENO24GENO6707 GENO75 GENO6707 GEGNEON7O57607 GENO77 GENO77 GENO77 -4 -2 0 2 -4 -2 0 2 4 -1 0 1 2 3 4 PC 1 PC 2 PCt 3 Fig.15 Scatter plots of PC1,PC2,PC3 and PC4 of cowpea genotypes for SSR markers 138 PC 4 PC 2 -2 -1 -4 -2 0 1 2 3 0 2 4 PC 4 PC 3 -2 -1 -1 0 1 2 3 0 1 2 3 4 PC 4 PC 3 -2 -1 -1 0 1 2 3 0 1 2 3 4 University of Ghana http://ugspace.ug.edu.gh Fig.16 Dendrogram of cowpea genotypes for SSR markers 139 Dissimilarity measure .5 1.5 2.5 0 1 2 GENO1 GENO3 GENO33 GENO45 GENO48 GENO56 GENO2 GENO6 GENO26 GENO27 GENO36 GENO47 GENO61 GENO4 GENO17 GENO25 GENO28 GENO39 GENO40 GENO58 GENO7 GENO8 GENO11 GENO15 GENO19 GENO21 GENO9 GENO13 GENO14 GENO18 GENO29 GENO31 GENO50 GENO51 GENO65 GENO71 GENO10 GENO64 GENO12 GENO77 GENO30 GENO66 GENO37 GENO42 GENO43 GENO54 GENO55 GENO76 GENO16 GENO20 GENO52 GENO41 GENO53 GENO57 GENO60 GENO67 GENO70 GENO68 GENO69 GENO5 GENO22 GENO32 GENO34 GENO35 GENO44 GENO23 GENO24 GENO46 GENO59 GENO38 GENO62 GENO49 GENO73 GENO74 GENO63 GENO72 GENO75 University of Ghana http://ugspace.ug.edu.gh CHAPTER FIVE DISCUSSION 5.1 Morphological Characterization Morphological markers can be classified under qualitative and quantitative markers. The use of such markers play a vital role in germplasm characterization and evaluation though some of them are influenced by environmental conditions and variation in developmental stages (Khan et al., 2015). Most researchers have used morphological markers to characterize cowpea accessions. Lazaridi et al. (2017) used the following morphological markers to characterize and study phenotypic diversity in cowpea local populations from Greece: leaf colour, terminal leaflet shape, growth habit, plant pigmentation, immature pod pigmentation, immature pod colour, seedcoat colour and eye colour (seedcoat pattern). In the current study, the following morphological markers were used: growth habit, main pod pigment, pod colour, seedcoat colour, seedcoat pattern, leaf colour, plant pigmentation, immature pod tip colour, v-marking, raceme position, terminal leaflet shape and flower bud tip pigment. Four different types of growth habit were observed. The most frequent type was erect growth habit with a frequency of 64.8%. This observation was at variance with that of Lazaridi et al., (2017) who observed seven different forms of growth habit with 37% frequency for erect growth habit. The difference could be attributed to sample size and the different germplasm sources and cowpea accessions. The high frequency of the erect growth habit will be helpful in selection in breeding programs since it facilitates harvesting. Pigmentation is a very important trait to cowpea geneticists and breeders because it is inherited in a simple mendelian fashion and can therefore serve as a genetic marker. For instance, Asante and Laing (1991) in a study of genetic linkage observed that flower bud tip colour is inherited in a 140 University of Ghana http://ugspace.ug.edu.gh simple mendelian manner. In the current study, pigmentation was analyzed under the following: plant pigmentation, immature pod tip colour and flower bud tip colour. Four different forms of plant pigmentation were observed in the current study out of which the most frequent was very slight plant pigmentation (53.0%). In a similar study Lazaridi et al. (2017) observed seven different forms of plant pigmentation with absence of plant pigmentation being the most frequent (78/0%). Asare et al. (2011) also in a similar study observed five different forms of plant pigmentation. However, in the current study absence of plant pigmentation occurred at a frequency of 6.1%. These differences between the current study and those of Lazaridi et al. may be due to differences in types of accessions and sample sizes studied. Seedcoat colour and seedcoat pattern are consumer traits which are consciously or unconsciously under selection by either farmers or consumers. Lazaridi et al. (2017) reported in a study on diversity in cowpea local populations from Greece seven (7) different forms of seedcoat colour and eleven (11) different types of seedcoat pattern (eye colour). Asare et al. (2011) in a similar study observed ten (10) different types of seedcoat colour and five (5) different forms of seedcoat pattern. Lazaridi et al. (2017) reported that white and cream seedcoat colour were most frequent with frequencies of 32.4% and 36.1%, respectively. In this study, ten (10) different types of seedcoat colour and seven (7) different types of seedcoat pattern were observed. Cream seedcoat colour was the most frequent, occurring at a frequency of 51.6% and solid seedcoat pattern was the most frequent at a frequency of 50.0%. The differences observed between the results of the current study and those of the previous studies could be due to sample size or different accessions used for the studies. Raceme position is a reflection on the position of pods on the cowpea plant. Raceme position can also enhance pod harvesting. Pods above canopy are easier to harvest than those below canopy 141 University of Ghana http://ugspace.ug.edu.gh level (Bennet-Lartey,1991). In the present study three (3) different forms of raceme position were observed which was in accordance with that of Asare et al. (2011) who observed three (3) different forms of raceme position. 5.2 Variability of crude protein and mineral elements Protein and mineral elements are very important dietary requirements in both humans and animals. Cowpea among other crops serves as an important source of protein and mineral elements. Crude protein and mineral elements compositions have been studied by researchers. Chikwendu et al. (2014) carried out a study on chemical composition of processed cowpea tender leaves and husks to determine crude protein and mineral elements profile. Boukar et al. (2011) evaluated cowpea germplasm lines for protein and mineral concentrations in cowpea grains. In the current study, percent crude protein and the following twelve mineral elements were analyzed: calcium, sodium, potassium, magnesium, iron, copper, nickel, lead, cadmium, manganese, chromium and zinc. Mean crude protein concentration was 13.80%. mean concentration for calcium was 1.59 ppm, sodium was 3.56 x 10-3 ppm, potassium was 10.405 ppm, magnesium was 0.288 ppm, iron was 0.048 ppm, copper was not detected, nickel was 0.033 ppm, lead was 0.038 ppm, cadmium was 17.0 x 10-4 ppm, manganese was 0.0187 ppm, Chromium was 0.00168 ppm and zinc were 0.00402 ppm. These values were very low as compared to those of Boukar et al. (2011) who recorded the following mean concentrations: 24.8% (crude protein), 826 mg/kg (calcium), 14,880 mg/kg (potassium), 1915 mg/kg (magnesium), 53.2 mg/kg (iron) and 38.1 mg/kg (zinc). Lazaridi et al. (2017) also obtained the following: 24.17% (crude protein), 0.91 mg/g (calcium), 0.98 mg/g (magnesium), 27.54 mg/g (iron), 6.15 mg/g (potassium), 35.78 mg/g (manganese) and 40.09 mg/g (zinc). The discrepancies could be due to accession differences and edaphic factors. 142 University of Ghana http://ugspace.ug.edu.gh 5.3 Variability of polyphenols Phenolic compounds contribute to antioxidant activities of cowpea (Sombie et al., 2018). It is believed that cowpea seeds have positive health effects with regard to their antioxidants, hypoglycaemic, hypolipidaemic and antihypertensive properties (Kapravelou et al., 2015). In the present study, gallic acid, syringic acid, quercetin and vanillic acid were analysed. Their mean concentrations were 60.97 ppm, 104.25 ppm, 69.58 ppm and 52.79 ppm, respectively. In a similar study by Chikwendu et al. (2014) polyphenols and flavonoids were analysed in fresh leaves, dry leaves and husks. They recorded the following percent concentrations for flavonoids: 26.72%, 3.77% and 1.13%, respectively and the following percent concentrations for polyphenols: 32.56%, 9.55% and 9.05%, respectively. These values were higher than those of the present studies, though they did not carry out analysis on the individual polyphenols. 5.4 Variability of amino acids Amino acids are end-products of protein digestion and are building blocks of proteins which are essential for life. There are two main groups of amino acids, essential and non-essential amino acids. In the present study nineteen amino acids were analyzed, seven essential and twelve non- essential. The seven essential ones were valine, methionine, iso-leucine, phenylalanine, threonine (below detection), histidine and tryptophan. The non-essential ones were L-aspartic, glutamine (below detection), L-lysine (below detection), B-threonine (below detection), L-asparagine, DL- alpha-alanine, (below detection), L-cysteine (below detection), D-proline, Trans-4-hydroxy-L- alanine, glycine and L-serine. In a similar study Ukpene and Imade (2015) analysed amino acid profile of seven cowpea varieties from the International Institute of Tropical Agriculture. Eighteen (18) amino acids were analysed out of which eight were essential and ten were non-essential. None of the eighteen was below detection as occurred in the present study. Amino acid concentrations 143 University of Ghana http://ugspace.ug.edu.gh for the current study were below those of Ukpene and Imade. The differences observed between the results of the present work and those of previous work may be explained on the basis of accession difference and sample sizes investigated. 5.5 Test of association and pairwise correlation. Knowledge of association and pairwise correlation is extremely useful in breeding programmes and identification of traits. Association and pairwise correlation may be the result of either genetic linkage or pleiotropy. In this study, twenty-four significant associations were observed among the fifty-four different classes of morphological traits as follows: growth habit with two morphological traits, main pod colour with four traits, pod colour with six traits, seedcoat colour with three traits, seedcoat pattern with four traits, leaf colour with two traits, immature pod tip colour, v-marking and raceme position all with one trait each, respectively. Sixty-three different significant pairwise correlations were also recorded. Twenty-nine were observed among the nineteen amino acids, three among the four polyphenols, twenty-three between amino acid and polyphenol out of which thirteen were negative, four between amino acid and crude protein out of which one was negative and four between mineral and polyphenol. This implies that for traits in which positive correlations were observed their concentrations can be increased concurrently through breeding programme. No significant correlation was observed either among mineral elements or between mineral elements and crude protein in the study. However, Boukar et al. (2011) in a study to evaluate cowpea germplasm for protein and mineral concentrations in grains recorded positive and significant correlations among iron, zinc and magnesium. They also observed significant and positive correlation between crude protein and iron. Asante et al. (2007) in a study to determine mineral components of cowpea using instrumental neutron activation analysis reported significant and positive correlations between magnesium and calcium, copper and manganese; copper and 144 University of Ghana http://ugspace.ug.edu.gh manganese. They also observed significant and negative correlation between sodium and calcium. Asante et al. (2006) also reported significant and positive correlation between percent crude protein and sodium and significant and negative correlation between percent crude protein and calcium. The difference between the current study and those of previous findings could be the result of differences in soil types and cowpea accessions investigated. 5.6 Distribution of mean concentrations of phytochemicals across morphological traits Qualitative traits can sometimes serve as reliable genetic markers. Their association with desirable traits can therefore serve as a useful guide to select for traits of economic importance. Though there is not enough literature on cowpea phytochemical distribution across morphological traits, Asante, et al. (2006) reported in a study of variation in contents of crude protein and mineral elements in 32 cowpea accessions in Ghana that, black seedcoat colour had the highest concentration of crude protein while cream seedcoat colour had the highest concentration of magnesium. The current study reports on levels of phytochemical traits across some morphological traits. Polyphenols: The highest mean concentrations of gallic acid, syringic acid vanillic acid were observed in cowpea genotypes with semi-prostrate growth habit, while highest mean concentration of quercetin occurred in genotypes with black seedcoat colour. Crude protein and mineral elements: For these traits, the highest mean concentration of calcium occurred in accessions with semi-prostrate growth habit. Cowpea accessions with no pigmented main pod pigmentation had the highest mean sodium concentration. Accessions with hastate terminal leaflet shape had the highest potassium mean concentration. Highest mean iron concentration occurred in genotypes with prostrate growth habit and the highest mean percent crude protein concentration occurred in accessions with prostrate growth habit. 145 University of Ghana http://ugspace.ug.edu.gh Amino acid: Highest mean concentration of L-histidine occurred in accessions with dark mottled pod colour. Glycine occurred in only accessions with black mottled seedcoat colour. Flesh pod colour and flesh seed coat colour had the highest mean concentration of L-asparagine, respectively. Highest mean concentration of DL-Alpha-Alanine occurred in accessions with black mottled seed coat colour. Highest concentration of L-aspartic acid was associated with dark mottled pod colour. Highest mean concentration of L-valine occurred in accessions with brown pod colour. Accessions with flesh seedcoat colour were associated with the highest mean concentration of D-proline. Accessions with black mottled seedcoat colour were associated with highest mean concentration of methionine. Highest concentration of Iso-Leucine occurred in accessions with red seedcoat colour. Accessions with black eye seedcoat pattern had highest mean concentration of Trans-4- Hydroxy-L-Proline. Highest mean concentration of L-Tyrosine occurred in accession with brown mottled seedcoat colour. Accessions with light brown pod colour had highest mean concentration of DL-Beta-phenyl-Alanine. Highest mean concentration of L-tryptophan occurred in accessions with dark purple pod colour. Songotra had the highest mean concentration of L-histidine. The highest mean glycine concentration occurred in the accession F2RG011. Accession G80 scored the highest mean concentrations of L-Asparagine and DL-Alpha-Alanine. The highest mean concentration of L-Aspartic acid occurred in accession COLMUT10-01, while the highest concentration of L-Valine occurred in accession IT08K. The highest mean concentration of L- Proline occurred in accession occurred in accession SARVX-09-009, while the highest concentration of methionine occurred in accession F2RG011. Accession IT07K-298-45 scored the highest mean concentration of Trans-4-Hydroxy-L-Proline, while accession G80 scored the highest mean concentration of L-Tyrosine. The highest mean concentration of DL-Beta-phenyl- Alanine occurred in accession SARI-6-299, while the highest of L-Tryptophan occurred in 146 University of Ghana http://ugspace.ug.edu.gh accession F2RG012. The amino acid that scored the highest mean concentration was L- Tryptophan. 5.7 Variability of traits in relation to source of cowpea accessions The source of germplasm can have impact on its variability. For instance, cowpea accessions collected from Deciduous forest zone flowered late while those from Guinea savanna and Sudan savanna zones flowered early (Asante, 1998), percentage pod set was higher in accessions from Deciduous forest zone, while those from the Savanna zone had low percentage pod set per plant (Asante, 1998). In the current study, the DPEB and SARI germplasm differed in some morphological traits, for instance prostrate and semi-prostrate growth forms were absent in the germplasm from the SARI accessions. Brown, buff and light brown were the only pod colours present in the SARI collection, while a total of eight pod colours were observed in DPEB accessions. Four out of ten seedcoat colours were present in SARI germplasm, while nine were present in DPEB accessions. Four out of seven seedcoat patterns were present in SARI germplasm while six were present in DPEB. Pale green leaf colour was absent in SARI accessions however it was present in DPEB accessions. V-marking was also absent in SARI accessions but present in DPEB. The two sources differed significantly with reference to their mean differences for some of the phytochemical traits. They differed significantly with reference to phytochemical traits including quercetin, nickel, manganese, zinc and chromium. The differences observed between the two sources might be due to different accessions from the two sources. DPEB accessions are made up of landraces collected from the CSIR-Plant Genetic Resource Research Institute, Bunso and kept in the Department of Plant and Environmental Biology (DPEB) University of Ghana over the years for students’ project work, they also consist of accessions that have been treated with colchicine and EMS and five of the accessions were F2 generation from a bi-parental cross. The 147 University of Ghana http://ugspace.ug.edu.gh SARI collection on the other hand consists of accessions from either the International Institute of Tropical Agriculture or CSIR-Savanna Research Institute where the accessions might have undergone some level of improvement and artificial selection leading to reduction in variability. 5.8 Phenotypic diversity within subdivided population In the present study a relatively low average of total variation (Ht = 0.162; Ht = 0.121) based on crude protein and mineral elements and polyphenol data was observed respectively. Lead, manganese, syringic acid (class 63.0 - 135.0) and quercetin (class 77.0 – 92.0) showed Ht values greater than 0.460. Again, high level of within population diversity was shown by lead (Hs = 0.468), syringic acid (class 63.0 - 135.0) and quercetin (class 77.0 – 92.0). Average within population diversity for polyphenol data (Hs = 0.105) was far lower than among population’s diversity (Gst = 0.434). This low within population diversity may be due to the fact that cowpea is a predominantly self-pollinating species. This result does not agree with that of Ghalmi et al. (2010) who reported no intra-landrace variation for qualitative and no inter landrace diversity for quantitative traits in Algerian on-farm cowpea landraces. This is in contrast to Lazaridi et al. (2017) who reported a high level of within population diversity (Hs = 0.34). The Gst value in this current work is higher than that reported by Lazaridi et al. (2017) and for other predominant self- pollinating species (Nybom et al., 2004). Gst mean for the current study was higher than what was reported by other researchers who analyzed genetic diversity of cowpea using AFLPs (Polegri and Negri, 2010) and isozymes (Asante and Laing, 2001). 5.9 Classification of the Total Cowpea Population. In the current study, population classification was based on PCA analysis for the phytochemical data. The first two axes of PCA for polyphenols explained 99.86% of total variation; this is 148 University of Ghana http://ugspace.ug.edu.gh possibly due to high levels of inter-population and low levels of intra-population diversity of the cowpea accessions. This is in contrast to the findings of Lazaridi et al. (2017) who in a similar work found that the first three axes of PCA explained only 45.2% of the total variation. PCA grouped the populations into four main groups with one accession EMS10-01 as an outlier with extremely high levels of polyphenols. EMS10-01 is M1 generation of cowpea treated with EMS and might have accumulated mutations that resulted into high levels of polyphenols. The first two axes of PCA for crude protein and mineral elements explained 61.88% of total variation. This might be due to low level of intra-population and high level of inter-population diversity of the cowpea accessions. PCA grouped the accessions into two main groups with three outliers, EMS10-01, 4223 and SARI-1-50-81. EMS10-01 had the highest amount of calcium and lead. Accession 4223 had the lowest concentration of percent crude protein. First two axes of PCA for amino acids explained 68.68% of total variation. This is probably due to high inter-population and low intra-population diversity of the cowpea accessions. PCA grouped the genotypes into two main groups and three outliers, genotypes F2RG011, SARV-09-004 and IT07K-298-45. Accessions F2RG011 had the highest concentration of DL-Alpha-alanine. First two axes of PCA explained 47.87% of the total variation in the cowpea accessions. PCA grouped the accessions into two main groups with two outliers, accessions 4223 and EMS10-01. 5.10 Genetic diversity In the current study, population structure analysis grouped the cowpea accessions into 4 gene pools (clusters 1, 2, 3 and 4) based on the peak of delta K (DK) at K = 4. Proportion of accessions that composed the clusters was 0.124, 0.317, 0.281 and 0.278, respectively. Intra-cluster diversity was high in cluster 3 and lowest in cluster 4. Genetic diversity among accessions was relatively high for clusters 1, 2 and 4. The first three axes of PCA for SSR data explained just 59.36% of total 149 University of Ghana http://ugspace.ug.edu.gh variation. This implies that there was low inter-population and high intra-population SSR-based diversity of the cowpea accessions. 150 University of Ghana http://ugspace.ug.edu.gh CHAPTER SIX CONCLUSIONS AND RECOMMENDATIONS 6.1 Conclusions There were different levels of variation among the cowpea morphological traits. High frequencies were observed for the following farmer and consumer preferred traits: erect growth habit, cream seedcoat colour and in canopy raceme position. The phytochemical traits also showed different levels of variation. The following eighteen cowpea accessions were found to be of economic importance with reference to the phytochemical traits that they are associated with: accessions Golinga (crude protein), EMS10-01 (calcium, gallic acid, syringic acid and vanillic acid), 4223 (sodium and potassium), ITD8K-150-241 (magnesium), F2RG010 (copper), COLMUT10-01 (nickel, L-Aspartic acid), AS008 (lead and magnesium), IT08K- (cadmium), G22 (chromium) and G24 (zinc), RC-03 (quercetin), Songotra (L-Histidine), F2RG011 (Glycine and L-Methionine), G7 (L-Asparagine), G80 (DL-Alpha-Alanine), F2RG012 (L-Valine and L-Tryptophan), SARVX-09-004 (L-Proline), IT07K-298-45 (Iso-Leucine and Trans-4-Hydroxy-L-Proline), G80 (L-Tyrosine), SARI-6-299 (DL-Beta-Phenyl-Alanine). Fisher’s test of association showed significant associations among the morphological traits. Significant levels of pairwise correlations were also observed among some of the phytochemical traits. The total cowpea accessions were structured into sub-populations ranging between 2 and 3 sub- groups and outliers based on phytochemical data. Population structure analysis based on SSR markers grouped the total cowpea accessions into 4 main gene pools. Different levels of genetic differentiation were observed for the 4 gene pools. 151 University of Ghana http://ugspace.ug.edu.gh Different gene flow levels were also observed among the subgroups. High and low estimated ancestral alleles occurred in almost all the 4 different gene pools. Some of these alleles were approaching either extinction or fixation. Low inter-population and high intra-population SSR-based diversity of the cowpea accessions were observed. 6.2 Recommendations The eighteen cowpea accessions identified to be of economic importance must be selected for improvement by the Department of Plant and Environmental Biology in collaboration with the Department of Crop Science and Department of Nutrition and Food Science. The high and low estimated ancestral alleles observed in some of the gene pools indicate that there is selection against some alleles. It is recommended that germplasm collection, and conservation must be intensified by the CSIR-Plant Genetic Resource Research Institute, Bunso. 152 University of Ghana http://ugspace.ug.edu.gh REFERENCES 1. AOACC (2000). Official methods of analysis of the AOAC (18th ed.) Washington, DC. 2. Asante, I.K. (1998). Environmental predictors of three cowpea (Vigna unguiculata (L.) Walp) yield sub-charcaters. Ghana J. Sci 38: 101-106. 3. Asante, I. K. and Laing, E. (1991). F2 linkage analysis in the cowpea (Vigna unguiculata (L.) Walp). Ghana J. Sci. 31-36: 87-94. 4. Asante, I. K., Adu-Dapaah, H., and Acheampong, A. O. (2007). Determination of some mineral components of cowpea (Vigna unguiculata (L.) Walp) using instrumental neutron activation analysis. WAJAE Vol. 11, 165-171. 5. Asante, I. K., Adu-Dapaah, H., and Addison, P (2006). 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Molecules. 27; 20(12):21138-56. doi: 10.3390/molecules 201219753 159 University of Ghana http://ugspace.ug.edu.gh APPENDICES Appendix 1. Standard equations of Phenols and Flavonoids Polyphenol Type Equation Wavelength (nm) R2 Catechin Phenol y = 0.0018x+0.0778 425 0.9714 Ferrulic acid Phenol y = 0.0019x +0.045 510 0.8842 Gallic acid Phenol y = 0.002x + 0.0226 510 0.9721 p-coumaric acid Phenol y = 0.0003x + 0.1416 510 0.7599 Quercetin Flavonoid y = 0.0006x – 0.0153 425 0.9189 Rutin Flavonoid y = 0.003x + 0.1145 425 0.9848 Rosmarinic acid Phenol y = 0.0024x + 0.0973 510 0.9845 Syringic acid Phenol y = 0.0004x + 0.0407 415 0.9902 Vanillic acid Phenol y = 0.0014x + 0.0124 510 0.9950 160 University of Ghana http://ugspace.ug.edu.gh Appendix 2. Morphological traits and sources of cowpea accessions Acc Source Growth habit Main pod pigmentation Pod colour Seedcoat colour RC-01 DPEB erect no pigment brown cream AS007 DPEB erect no pigment buff dark mottled 312 DPEB erect no pigment purple red RC-04 DPEB erect brown dirty white AGRAC-216 DPEB erect no pigment buff brown BELEDI B DPEB erect no pigment buff cream LADUNI 1B DPEB erect no pigment brown cream 111 DPEB erect no pigment buff red 4223 DPEB erect no pigment brown cream 212 DPEB semierect no pigment purple dark mottled BOTN002 DPEB semiprostrate no pigment purple brown mottled ASOO4 DPEB erect no pigment flesh flesh 2213 DPEB erect no pigment dark brown cream AS008 DPEB erect light brown brown ASOO9 DPEB erect no pigment light brown brown EMS30-02 DPEB erect light brown black WACCI- TONI DPEB semierect no pigment brown cream ASOO3 DPEB erect no pigment dark purple red COLMUT10- 01 DPEB semiprostrate no pigment dark motttled brown mottled EMS10-01 DPEB semiprostrate no pigment purple brown mottled 442 DPEB erect no pigment light brown brown 6824 DPEB erect no pigment purple red F2RG004 DPEB erect no pigment light brown black G5 DPEB semierect no pigment light brown cream F2RG011 DPEB semierect no pigment brown black mottled RC-03 DPEB semierect no pigment purple brown mottled F2RG007 DPEB erect no pigment buff cream BOTN006 DPEB semierect no pigment purple dark mottled F2RG012 DPEB semierect no pigment purple red F2RG010 DPEB erect buff cream F2RG009 DPEB erect splashes of pigment light brown cream G41 DPEB erect no pigment buff dark mottled G35 DPEB erect no pigment light brown brown 422 DPEB erect no pigment light brown brown G24 DPEB erect no pigment buff dark mottled G80 DPEB semierect no pigment light brown brown 161 University of Ghana http://ugspace.ug.edu.gh Appendix 2 cont’d Acc Source Growth habit Main pod pigmentation Pod colour Seedcoat colour G22 DPEB semierect splashes of pigment light brown cream G7 DPEB erect splashes of pigment light brown cream G50 DPEB erect no pigment light brown cream GOLINGA DPEB prostrate no pigment brown dark mottled SONGOTRA SARI erect no pigment BAWUTA SARI no pigment ZAAYURA SARI erect no pigment brown cream PADI-TUYA SARI semierect uniformly pigmented buff cream APAGBAALA SARI erect no pigment brown cream ASONTEM SARI semierect no pigment buff brick red ITO7K-299-6 SARI erect splashes of pigment brown cream SARVX-09-002 SARI erect no pigment brown cream IT98K-628 SARI semierect no pigment buff cream SARI-6-2-6 SARI erect no pigment brown cream SARVX-09-004 SARI erect no pigment buff cream SARVX-07-001 SARI erect no pigment brown cream SARI-5-5-5 SARI semierect no pigment brown cream ITO7K-298-45 SARI erect no pigment brown cream IT10K-817-3 SARI erect no pigment brown brick red IT86D-610 SARI erect no pigment brown brown mottled IT08K- SARI erect no pigment buff brown SARI-2-50-80 SARI semierect splashes of pigment brown cream SARI-3-11-88 SARI semierect splashes of pigment brown cream SARI-1-50-81 SARI semierect no pigment brown cream IT08K-137-1 SARI erect no pigment brown cream SARI-3-11-100 SARI semierect splashes of pigment brown cream IT07K-299-69 SARI erect no pigment brown cream SARI-6-299 SARI semierect no pigment light brown cream SARI-13-17-12 SARI semierect no pigment brown cream IT08K-150-241 SARI erect no pigment brown cream 162 University of Ghana http://ugspace.ug.edu.gh Appendix 2 cont’d Acc Source Seedcoat pattern Leaf colour Plant pigmentation RC-01 DPEB black holstein dark green very slight AS007 DPEB solid intermediate green very slight 312 DPEB solid intermediate green very slight RC-04 DPEB brown eye intermediate green very slight AGRAC-216 DPEB solid intermediate green moderate base tip petiole BELEDI B DPEB small brown eye pale green very slight LADUNI 1B DPEB small brown eye intermediate green very slight 111 DPEB solid pale green very slight 4223 DPEB solid intermediate green very slight 212 DPEB solid intermediate green moderate base tip petiole BOTN002 DPEB solid intermediate green moderate base tip petiole ASOO4 DPEB solid intermediate green moderate base tip petiole 2213 DPEB solid intermediate green moderate base tip petiole AS008 DPEB solid intermediate green very slight ASOO9 DPEB solid intermediate green very slight EMS30-02 DPEB solid intermediate green very slight WACCI- TONI DPEB golden eye intermediate green very slight ASOO3 DPEB solid intermediate green very slight COLMUT10- 01 DPEB solid intermediate green very slight EMS10-01 DPEB solid intermediate green moderate base tip petiole 442 DPEB solid dark green none 6824 DPEB solid intermediate green very slight F2RG004 DPEB solid intermediate green moderate base tip petiole G5 DPEB small black eye dark green none F2RG011 DPEB solid intermediate green very slight RC-03 DPEB solid intermediate green moderate base tip petiole F2RG007 DPEB small black eye intermediate green moderate base tip petiole BOTN006 DPEB solid intermediate green very slight F2RG012 DPEB solid intermediate green very slight F2RG010 DPEB small brown eye intermediate green very slight F2RG009 DPEB small black eye intermediate green very slight G41 DPEB solid intermediate green very slight G35 DPEB solid intermediate green moderate base tip petiole 422 DPEB solid dark green none G24 DPEB solid intermediate green very slight G80 DPEB solid intermediate green moderate base tip petiole 163 University of Ghana http://ugspace.ug.edu.gh Appendix 2 con t’d Acc Source Seedcoat pattern Leaf colour Plant pigmentation G22 DPEB brown eye intermediate green moderate base tip petiole G7 DPEB small brown eye intermediate green moderate base tip petiole G50 DPEB small brown eye intermediate green moderate base tip petiole GOLINGA DPEB solid intermediate green very slight SONGOTRA SARI intermediate green very slight BAWUTA SARI intermediate green very slight ZAAYURA SARI small black eye dark green moderate base tip petiole PADI-TUYA SARI black eye dark green moderate base tip petiole APAGBAALA SARI small black eye intermediate green very slight ASONTEM SARI solid intermediate green very slight ITO7K-299-6 SARI small black eye intermediate green very slight SARVX-09- 002 SARI small black eye intermediate green moderate base tip petiole IT98K-628 SARI small black eye intermediate green very slight SARI-6-2-6 SARI small brown eye intermediate green moderate base tip petiole SARVX-09- 004 SARI black eye intermediate green moderate base tip petiole SARVX-07- 001 SARI small black eye intermediate green moderate base tip petiole SARI-5-5-5 SARI black eye intermediate green very slight ITO7K-298-45 SARI black eye intermediate green very slight IT10K-817-3 SARI solid intermediate green very slight IT86D-610 SARI solid dark green none IT08K- SARI solid intermediate green moderate base tip petiole SARI-2-50-80 SARI small black eye intermediate green moderate base tip petiole SARI-3-11-88 SARI small black eye dark green very slight SARI-1-50-81 SARI small black eye intermediate green moderate base tip petiole IT08K-137-1 SARI small brown eye dark green moderate base tip petiole SARI-3-11- 100 SARI black eye dark green moderate base tip petiole IT07K-299-69 SARI small brown eye dark green moderate base tip petiole SARI-6-299 SARI small brown eye intermediate green very slight SARI-13-17- 12 SARI black eye intermediate green very slight IT08K-150- 241 SARI small black eye intermediate green moderate base tip petiole 164 University of Ghana http://ugspace.ug.edu.gh Appendix 2 cont’d Acc Source Immature pod tip colour v-markings RC-01 DPEB pigmented absence AS007 DPEB non pigmented presence 312 DPEB pigmented presence RC-04 DPEB absence AGRAC-216 DPEB non pigmented BELEDI B DPEB non pigmented absence LADUNI 1B DPEB non pigmented absence 111 DPEB non pigmented absence 4223 DPEB non pigmented absence 212 DPEB absence BOTN002 DPEB non pigmented absence ASOO4 DPEB non pigmented absence 2213 DPEB non pigmented absence AS008 DPEB absence ASOO9 DPEB non pigmented absence EMS30-02 DPEB WACCI-TONI DPEB non pigmented presence ASOO3 DPEB pigmented presence COLMUT10-01 DPEB non pigmented presence EMS10-01 DPEB pigmented presence 442 DPEB non pigmented absence 6824 DPEB pigmented presence F2RG004 DPEB pigmented presence G5 DPEB pigmented absence F2RG011 DPEB pigmented presence RC-03 DPEB pigmented presence F2RG007 DPEB pigmented absence BOTN006 DPEB pigmented presence F2RG012 DPEB pigmented presence F2RG010 DPEB absence F2RG009 DPEB pigmented absence G41 DPEB non pigmented presence G35 DPEB non pigmented presence 422 DPEB non pigmented absence G24 DPEB non pigmented G80 DPEB non pigmented absence 165 University of Ghana http://ugspace.ug.edu.gh Appendix 2 cont’d Acc Source Immature pod tip colour v-markings G22 DPEB pigmented absence G7 DPEB pigmented absence G50 DPEB non pigmented absence GOLINGA DPEB pigmented presence SONGOTRA SARI non pigmented absence BAWUTA SARI absence ZAAYURA SARI non pigmented absence PADI-TUYA SARI pigmented absence APAGBAALA SARI non pigmented absence ASONTEM SARI non pigmented absence ITO7K-299-6 SARI pigmented absence SARVX-09-002 SARI absence IT98K-628 SARI pigmented absence SARI-6-2-6 SARI non pigmented absence SARVX-09-004 SARI pigmented absence SARVX-07-001 SARI non pigmented absence SARI-5-5-5 SARI pigmented absence ITO7K-298-45 SARI non pigmented absence IT10K-817-3 SARI non pigmented absence IT86D-610 SARI non pigmented absence IT08K- SARI non pigmented absence SARI-2-50-80 SARI pigmented absence SARI-3-11-88 SARI pigmented absence SARI-1-50-81 SARI pigmented absence IT08K-137-1 SARI non pigmented absence SARI-3-11-100 SARI pigmented absence IT07K-299-69 SARI non pigmented absence SARI-6-299 SARI non pigmented absence SARI-13-17-12 SARI non pigmented absence IT08K-150-241 SARI non pigmented absence 166 University of Ghana http://ugspace.ug.edu.gh Appendix 2 cont’d Acc Source Raceme position Terminal leaflet shape Flower bud tip RC-01 DPEB in upper canopy pigmented AS007 DPEB below upper canopy globose non-pigmented 312 DPEB in upper canopy globose pigmented RC-04 DPEB globose non-pigmented AGRAC-216 DPEB in upper canopy hastate non-pigmented BELEDI B DPEB in upper canopy sub-globose non-pigmented LADUNI 1B DPEB in upper canopy sub-globose non-pigmented 111 DPEB in upper canopy globose non-pigmented 4223 DPEB mostly above canopy sub-globose non-pigmented 212 DPEB in upper canopy sub-globose pigmented BOTN002 DPEB below upper canopy sub-globose non-pigmented ASOO4 DPEB below upper canopy globose 2213 DPEB in upper canopy globose non-pigmented AS008 DPEB below upper canopy globose ASOO9 DPEB below upper canopy globose non-pigmented EMS30-02 DPEB below upper canopy globose WACCI- TONI DPEB in upper canopy globose non-pigmented ASOO3 DPEB below upper canopy globose pigmented COLMUT10- 01 DPEB below upper canopy sub-globose non-pigmented EMS10-01 DPEB below upper canopy globose pigmented 442 DPEB in upper canopy sub-globose non-pigmented 6824 DPEB in upper canopy globose pigmented F2RG004 DPEB below upper canopy sub-globose non-pigmented G5 DPEB below upper canopy sub-globose pigmented F2RG011 DPEB in upper canopy sub-globose pigmented RC-03 DPEB below upper canopy sub-globose pigmented F2RG007 DPEB below upper canopy globose pigmented BOTN006 DPEB below upper canopy sub-globose pigmented F2RG012 DPEB below upper canopy sub-globose pigmented F2RG010 DPEB F2RG009 DPEB in upper canopy sub-hastate pigmented G41 DPEB below upper canopy globose non-pigmented G35 DPEB below upper canopy globose non-pigmented 422 DPEB in upper canopy sub-globose non-pigmented G24 DPEB in upper canopy globose non-pigmented G80 DPEB below upper canopy sub-hastate non-pigmented 167 University of Ghana http://ugspace.ug.edu.gh Appendix 2 cont’d Acc Source Raceme position Terminal leaflet shape Flower bud tip G22 DPEB in upper canopy sub-globose pigmented G7 DPEB below upper canopy sub-globose pigmented G50 DPEB below upper canopy sub-globose non-pigmented GOLINGA DPEB mostly above canopy sub-globose pigmented SONGOTRA SARI mostly above canopy sub-globose non-pigmented BAWUTA SARI in upper canopy hastate non-pigmented ZAAYURA SARI in upper canopy sub-hastate non-pigmented PADI-TUYA SARI in upper canopy sub-hastate pigmented APAGBAALA SARI mostly above canopy sub-globose non-pigmented ASONTEM SARI in upper canopy hastate non-pigmented ITO7K-299-6 SARI mostly above canopy sub-globose non-pigmented SARVX-09- sub- 002 SARI mostly above canopy globose IT98K-628 SARI mostly above canopy sub-globose pigmented SARI-6-2-6 SARI below upper canopy sub-hastate non-pigmented SARVX-09- 004 SARI mostly above canopy globose pigmented SARVX-07- 001 SARI mostly above canopy sub-globose non-pigmented SARI-5-5-5 SARI in upper canopy hastate pigmented ITO7K-298-45 SARI in upper canopy sub-globose non-pigmented IT10K-817-3 SARI in upper canopy globose non-pigmented IT86D-610 SARI mostly above canopy sub-globose non-pigmented IT08K- SARI in upper canopy hastate non-pigmented SARI-2-50-80 SARI mostly above canopy globose pigmented SARI-3-11-88 SARI mostly above canopy sub-hastate pigmented SARI-1-50-81 SARI mostly above canopy sub-globose non-pigmented IT08K-137-1 SARI in upper canopy sub-globose non-pigmented SARI-3-11- 100 SARI in upper canopy sub-hastate pigmented IT07K-299-69 SARI in upper canopy sub-globose non-pigmented SARI-6-299 SARI mostly above canopy sub-globose pigmented SARI-13-17- 12 SARI in upper canopy hastate non-pigmented IT08K-150- 241 SARI in upper canopy globose non-pigmented 168 University of Ghana http://ugspace.ug.edu.gh Appendix 3. Sources, percent crude protein and mineral elements content (ppm) of cowpea accessions. Acc Source CP Ca Na K Mg Fe RC-01 DPEB 15.75 0.1024 0.0008 10.425 0.29715 0.0079 AS007 DPEB 13.475 0.11295 0.0016 8.66 0.23165 0.00755 312 DPEB 15.4875 0.05715 0.00135 9.26 0.22655 0.0087 RC-04 DPEB 15.925 0.08165 0.00105 9.32 0.2695 0.0553 AGRAC-216 DPEB 12.425 0.12005 0.00965 13.61 0.3687 0.09445 BELEDI B DPEB 11.8125 0.18935 0.0134 11.395 0.4107 0.068 LADUNI 1B DPEB 11.9875 0.1054 0.0038 10.19 0.2087 0.04285 111 DPEB 10.5 0.1435 0.0042 9.665 0.20755 0.04465 4223 DPEB 9.625 0.13515 0.02345 16.975 0.3349 0.0921 212 DPEB nd nd nd nd nd nd BOTN002 DPEB 16.7125 0.08935 0.0021 10.585 0.27615 0.07655 ASOO4 DPEB 13.65 0.0758 0.00035 10.845 0.2881 0.05945 2213 DPEB 14.175 0.10145 0.0011 10.085 0.2955 0.06725 AS008 DPEB 15.75 0.0658 nd 11.15 0.32885 0.0732 ASOO9 DPEB 13.475 0.0771 0.0016 9.93 0.32535 0.06665 EMS30-02 DPEB 13.9125 0.06785 nd 9.86 0.2862 0.0645 WACCI- TONI DPEB 12.3375 0.0608 0.00125 9.62 0.25275 0.05885 ASOO3 DPEB 16.8 0.0805 nd 10.815 0.28885 0.0663 COLMUT10- 01 DPEB 15.575 0.0885 nd 10.525 0.29165 0.0709 EMS10-01 DPEB 11.4625 86.2 0.00015 10 0.25835 0.06555 442 DPEB nd nd nd nd nd nd 6824 DPEB nd nd nd nd nd nd F2RG004 DPEB nd nd nd nd nd nd G5 DPEB nd nd nd nd nd nd 169 University of Ghana http://ugspace.ug.edu.gh Appendix 3 cont’d Acc Source CP Ca Na K Mg Fe F2RG011 DPEB 13.0375 0.1004 0.0007 10.145 0.2428 0.04105 RC-03 DPEB 12.25 0.14055 0.0019 9.335 0.3097 0.03135 F2RG007 DPEB 10.0625 0.0845 0.00345 9.95 0.2366 0.035 BOTN006 DPEB 14.2625 0.10475 0.0001 9.395 0.2607 0.08935 F2RG012 DPEB 13.65 0.07195 0.0004 9.65 0.294 0.03285 F2RG010 DPEB 11.025 0.0338 0.00055 5.75 0.2024 0.0367 F2RG009 DPEB 15.1375 0.10515 0.0004 9.7 0.22565 0.0533 G41 DPEB nd nd nd nd nd nd G35 DPEB 12.25 0.08265 0.00005 10.315 0.2936 0.03835 422 DPEB nd nd nd nd nd nd G24 DPEB 13.0375 0.08355 0.0014 8.085 0.23585 0.0329 G80 DPEB 13.3 0.08855 0.0005 6.175 0.2577 0.02185 G22 DPEB 12.25 0.09655 0.00005 6.03 0.23575 0.0284 G7 DPEB 13.475 0.10675 0.0007 10.16 0.23415 0.0237 G50 DPEB 14.7 0.1293 0.00005 8.405 0.2531 0.05625 GOLINGA DPEB 16.975 0.0728 0.00035 8.015 0.2433 0.04315 SONGOTRA SARI 16.8 0.08845 0.00205 10.115 0.2826 0.00895 BAWUTA SARI 15.4 0.1117 0.0046 12.03 0.32915 0.0087 ZAAYURA SARI 14.875 0.1275 0.0031 10.415 0.2557 0.00175 PADI-TUYA SARI 13.5625 0.08945 0.00315 10.92 0.2828 0.00645 APAGBAALA SARI 14.875 0.1001 0.0017 10.68 0.25945 0.01485 ASONTEM SARI 13.5625 0.1199 0.00295 10.715 0.2929 0.01485 ITO7K-299- 6 SARI 12.3375 0.109 0.01065 16.62 0.32555 0.097 SARVX-09- 002 SARI 10.325 0.1138 0.00325 8.66 0.22715 0.038 IT98K-628 SARI 14.7 0.1025 0.00025 9.91 0.2769 0.03655 SARI-6-2-6 SARI 16.275 0.08895 0.0035 10.32 0.2886 0.0012 SARVX-09- 004 SARI 15.925 0.07745 0.00175 11.42 0.3329 0.01695 170 University of Ghana http://ugspace.ug.edu.gh Appendix 3 cont’d Acc Source Cp Ca Na K Mg Fe SARVX-07- 001 SARI 15.6625 0.14015 0.0039 10.155 0.25975 0.0064 SARI-5-5-5 SARI 14.875 0.2053 0.00435 10.33 0.28185 0.01525 ITO7K-298- 45 SARI 16.8 0.1284 0.00185 10.955 0.3014 0.04095 IT10K-817-3 SARI 15.6625 0.08745 0.0022 11.135 0.33335 0.00665 IT86D-610 SARI 13.0375 0.0812 0.00535 9.575 0.17805 0.0296 IT08K- SARI 11.725 0.13005 0.00515 11.495 0.3697 0.1088 SARI-2-50- 80 SARI 12.25 0.147 0.00405 10.19 0.2475 0.0565 SARI-3-11- 88 SARI 14.0875 0.10525 0.0087 12.67 0.4124 0.105 SARI-1-50- 81 SARI 16.275 0.17335 0.01275 11.96 0.40085 0.0972 IT08K-137-1 SARI 12.95 0.0945 0.0046 10.33 0.266 0.03395 SARI-3-11- 100 SARI 14.0875 0.10525 0.0087 12.67 0.4124 0.105 IT07K-299- 69 SARI 12.775 0.0842 0.00315 9.535 0.2431 0.0603 SARI-6-299 SARI 12.3375 0.1218 0.0083 12.47 0.4198 0.0979 SARI-13-17- 12 SARI IT08K-150- 241 SARI 14.175 0.11135 0.006 14.19 0.42525 0.09575 171 University of Ghana http://ugspace.ug.edu.gh Appendix 4. Sources and polyphenol concentration (mg/l) of cowpea accessions Acc Source Syringic Vanillic Gallic Quercetin RC-01 DPEB 75.9 20.4 20.2 60.5 AS007 DPEB 84.1 29.7 23.5 95.5 312 DPEB 79.7 24.7 17.7 45.5 RC-04 DPEB 74.1 18.3 10.2 60.5 AGRAC-216 DPEB 87.8 34 26 43.8 BELEDI B DPEB 79.7 24.7 16.8 95.5 LADUNI 1B DPEB 114.1 64 71.8 90.5 111 DPEB 83.4 29 22.7 73.8 4223 DPEB 89.7 36.1 29.3 67.2 212 DPEB 78.4 23.3 19.3 112.2 BOTN002 DPEB 80.3 25.4 21 67.2 ASOO4 DPEB 82.2 27.6 19.3 67.2 2213 DPEB 72.2 16.1 11.8 80.5 AS008 DPEB 92.8 39.7 40.2 73.8 ASOO9 DPEB 99.1 46.9 50.2 65.5 EMS30-02 DPEB 144.7 99 158.5 83.8 WACCI-TONI DPEB 69.7 13.3 8.5 77.2 ASOO3 DPEB 90.9 37.6 38.5 72.2 COLMUT10-01 DPEB 68.4 11.9 8.5 72.2 EMS10-01 DPEB 795.3 842.6 1463.5 72.2 442 DPEB 72.2 16.1 15.2 52.2 6824 DPEB 73.4 17.6 16.8 50.5 F2RG004 DPEB 72.8 16.9 12.7 118.8 G5 DPEB 72.2 16.1 12.7 67.2 172 University of Ghana http://ugspace.ug.edu.gh Appendix 4 cont’d Acc Source Syringic Vanillic Gallic Quercetin F2RG011 DPEB 73.4 17.6 14.3 67.2 RC-03 DPEB 75.9 20.4 16.8 122.2 F2RG007 DPEB 109.1 58.3 70.2 57.2 BOTN006 DPEB 82.8 28.3 23.5 67.2 F2RG012 DPEB 398.4 389 450.2 F2RG010 DPEB 75.3 19.7 16.8 92.2 F2RG009 DPEB 115.9 66.1 71.8 48.8 G41 DPEB 147.2 101.9 115.2 67.2 G35 DPEB 148.4 103.3 115.2 88.8 422 DPEB 75.9 20.4 16 60.5 G24 DPEB 221.6 186.9 201.8 102.2 G80 DPEB 143.4 97.6 111.8 75.5 G22 DPEB 75.9 20.4 16 63.8 G7 DPEB 117.2 67.6 76.8 68.8 G50 DPEB 74.1 18.3 13.5 63.8 GOLINGA DPEB 76.6 21.1 14.3 53.8 SONGOTRA SARI 76.6 21.1 13.5 73.8 BAWUTA SARI 74.7 19 11 67.2 ZAAYURA SARI 76.6 21.1 13.5 48.8 PADI-TUYA SARI 85.9 31.9 26 47.2 APAGBAALA SARI 75.3 19.7 12.7 53.8 ASONTEM SARI 104.7 53.3 36 53.8 ITO7K-299-6 SARI 79.7 24.7 21 48.8 SARVX-09-002 SARI 75.9 20.4 12.7 47.2 173 University of Ghana http://ugspace.ug.edu.gh Appendix 4 cont’d Acc Source Syringic Vanillic Gallic Quercetin IT98K-628 SARI 85.3 31.1 7.7 45.5 SARI-6-2-6 SARI 82.2 27.6 21.8 80.5 SARVX-09-004 SARI 80.3 25.4 21 53.8 SARVX-07-001 SARI 79.7 24.7 17.7 68.8 SARI-5-5-5 SARI 76.6 21.1 31 70.5 ITO7K-298-45 SARI 77.8 22.6 15.2 55.5 IT10K-817-3 SARI 81.6 26.9 18.5 77.2 IT86D-610 SARI 80.9 26.1 20.2 55.5 IT08K- SARI 81.6 26.9 20.2 48.8 SARI-2-50-80 SARI 76.6 21.1 13.5 73.8 SARI-3-11-88 SARI 78.4 23.3 14.3 83.8 SARI-1-50-81 SARI 77.2 21.9 6 52.2 IT08K-137-1 SARI 132.8 85.4 98.5 50.5 SARI-3-11-100 SARI 82.2 27.6 21 100.5 IT07K-299-69 SARI 76.6 21.1 15.2 45.5 SARI-6-299 SARI 79.1 24 16 73.8 SARI-13-17-12 SARI 74.1 18.3 17.7 68.8 IT08K-150-241 SARI 84.1 29.7 22.7 112.2 174 University of Ghana http://ugspace.ug.edu.gh Appendix 4 cont’d Acc Source Cu Ni Pb Cd Mn Cr Zn RC-01 DPEB nd 0.0211 nd 0.01585 nd nd AS007 DPEB nd 0.026 0.00185 nd 0.013 nd nd 312 DPEB nd 0.0315 nd 0.01625 nd nd RC-04 DPEB nd 0.03615 0.0388 nd 0.028 nd nd AGRAC-216 DPEB nd 0.0322 0.0167 0.00115 0.0184 nd nd BELEDI B DPEB nd 0.02125 0.03045 0.00155 0.02115 nd nd LADUNI 1B DPEB nd 0.01035 0.00585 0.00115 0.01245 nd nd 111 DPEB nd 0.03645 0.0323 nd 0.0093 nd nd 4223 DPEB nd 0.0194 0.05075 0.0007 0.02075 nd nd 212 DPEB nd nd nd nd nd nd nd BOTN002 DPEB nd 0.0599 0.0544 nd 0.0294 nd nd ASOO4 DPEB nd 0.04245 0.01155 nd 0.02555 nd nd 2213 DPEB nd 0.05295 0.0301 nd 0.0269 nd nd AS008 DPEB nd 0.0621 0.2014 nd 0.0284 nd nd ASOO9 DPEB nd 0.04235 0.0209 nd 0.02185 nd nd EMS30-02 DPEB nd 0.05395 0.0661 nd 0.02705 nd nd WACCI- TONI DPEB nd 0.04335 0.0614 nd 0.0226 nd nd ASOO3 DPEB nd 0.05005 0.0366 nd 0.02645 nd nd COLMUT10- 01 DPEB nd 0.0655 0.16515 nd 0.027 nd nd EMS10-01 DPEB nd 0.052 0.0827 nd 0.02705 nd nd 442 DPEB nd nd nd nd nd nd nd 6824 DPEB nd nd nd nd nd nd nd F2RG004 DPEB nd nd nd nd nd nd nd G5 DPEB nd nd nd nd nd nd nd 175 University of Ghana http://ugspace.ug.edu.gh Appendix 4 cont’d Acc Source Cu Ni Pb Cd Mn Cr Zn F2RG011 DPEB -0.0067 0.03905 nd nd nd nd 0.00215 RC-03 DPEB -0.0011 0.05995 0.0097 nd nd nd nd F2RG007 DPEB -0.00405 0.0315 nd nd nd nd 0.00685 BOTN006 DPEB nd 0.06315 0.02915 nd nd nd nd F2RG012 DPEB nd 0.03795 nd nd nd nd 0.00465 F2RG010 DPEB 0.0008 0.0276 nd nd nd nd 0.0028 F2RG009 DPEB nd 0.04405 nd nd nd nd 0.0029 G41 DPEB nd nd nd nd nd nd nd G35 DPEB nd 0.05655 0.0584 nd nd 0.00305 0.0017 422 DPEB nd nd nd nd nd nd nd G24 DPEB nd 0.02615 nd nd nd nd 0.01315 G80 DPEB nd 0.02955 nd nd nd nd 0.0044 G22 DPEB nd 0.02705 nd nd nd 0.0003 0.0079 G7 DPEB nd 0.06495 0.0003 nd nd nd 0.00155 G50 DPEB nd 0.04495 0.0193 nd 0.0235 nd nd GOLINGA DPEB nd 0.0303 0.04525 0.0001 0.02165 nd nd SONGOTRA SARI nd 0.0155 0.01805 nd 0.011 nd nd BAWUTA SARI nd 0.01415 nd nd 0.01345 nd nd ZAAYURA SARI nd 0.0147 nd nd 0.01465 nd nd PADI-TUYA SARI nd 0.02735 nd nd 0.01595 nd nd APAGBAALA SARI nd 0.0221 0.0179 nd 0.01645 nd nd ASONTEM SARI nd 0.0283 0.03595 nd 0.01765 nd nd ITO7K-299- 6 SARI nd 0.00775 0.0257 0.0011 0.01385 nd nd SARVX-09- 002 SARI nd 0.031 0.0599 nd 0.02235 nd nd IT98K-628 SARI nd 0.02735 0.0535 nd 0.02155 nd nd SARI-6-2-6 SARI nd 0.0163 nd 0.0119 nd nd SARVX-09- 004 SARI nd 0.02115 0.04615 nd 0.0191 nd nd 176 University of Ghana http://ugspace.ug.edu.gh Appendix 4 cont’d Acc source Cu Ni Pb Cd Mn Cr Zn SARVX-07- 001 SARI nd 0.0216 nd 0.0143 nd 0.0031 SARI-5-5-5 SARI nd 0.0282 0.01515 nd 0.0192 nd nd ITO7K-298- 45 SARI nd 0.03235 0.0599 nd 0.0221 nd nd IT10K-817-3 SARI nd 0.00825 0.00855 nd 0.01 nd 0.0009 IT86D-610 SARI nd 0.0262 nd 0.0216 nd IT08K- SARI nd 0.00535 0.01355 0.00285 0.0165 nd 0.00075 SARI-2-50- 80 SARI nd 0.0247 0.0321 0.0011 0.00605 nd nd SARI-3-11- 88 SARI nd 0.03215 0.023 0.0019 0.0148 nd 0.00375 SARI-1-50- 81 SARI nd 0.01315 0.02145 0.00035 0.0145 nd nd IT08K-137-1 SARI nd 0.0151 0.0007 0.0015 0.0104 nd nd SARI-3-11- 100 SARI nd 0.03215 0.023 0.0019 0.0148 nd 0.00375 IT07K-299- 69 SARI nd 0.02495 0.0098 0.0008 0.0087 nd nd SARI-6-299 SARI nd 0.0193 0.0393 0.002 0.0199 nd nd SARI-13-17- 12 SARI nd nd nd nd nd nd nd IT08K-150- 241 SARI nd 0.0396 0.0332 0.0003 0.026 nd nd 177 University of Ghana http://ugspace.ug.edu.gh Appendix 5. Sources and amino acids concentration (ppm) of cowpea accessions Acc Source lhistidine glycine lserine lcysteine lasparagine RC-01 DPEB 0.000017 nd nd nd nd AS007 DPEB nd nd nd nd 312 DPEB 1.40E-06 nd nd nd nd RC-04 DPEB 0.000036 nd nd nd 0.000042 AGRAC-216 DPEB 0.000028 nd nd nd 0.000012 BELEDI B DPEB 6.60E-06 nd nd nd nd LADUNI 1B DPEB 0.000016 nd nd nd nd 111 DPEB 9.50E-06 nd nd nd nd 4223 DPEB 3.40E-06 nd nd nd nd 212 DPEB 0.000012 nd nd nd 0.000021 BOTN002 DPEB 0.000023 nd nd nd 0.000012 ASOO4 DPEB 0.000045 3.50E-06 nd nd 0.000061 2213 DPEB 0.000031 nd nd nd 8.30E-06 AS008 DPEB 0.000033 nd nd nd 0.000029 ASOO9 DPEB 0.000057 nd nd nd 0.000041 EMS30-02 DPEB 0.00009 nd nd nd 0.000029 WACCI-TONI DPEB 0.000077 1.10E-06 nd nd 0.00002 ASOO3 DPEB 0.000028 nd nd nd 5.20E-06 COLMUT10-01 DPEB 0.000058 2.90E-06 nd nd 0.000031 EMS10-01 DPEB 0.000018 nd nd nd 0.000013 442 DPEB nd nd nd nd 6824 DPEB 6.20E-06 nd nd nd nd F2RG004 DPEB 3.30E-06 nd nd nd 0.000024 G5 DPEB 0.000067 2.60E-06 nd nd nd 178 University of Ghana http://ugspace.ug.edu.gh Appendix 5. cont’d. Acc Source lhistidine glycine lserine lcysteine lasparagine F2RG011 DPEB 0.000123 6.00E-06 nd nd 0.00004 RC-03 DPEB 0.00002 nd nd nd 0.000023 F2RG007 DPEB 0.000022 nd nd nd 3.90E-06 BOTN006 DPEB 0.000055 9.40E-07 nd nd 0.000059 F2RG012 DPEB 0.000057 nd nd nd nd F2RG010 DPEB 1.00E-05 nd nd nd 0.000014 F2RG009 DPEB 0.000011 nd nd nd 0.00004 G41 DPEB 0.000019 4.00E-07 nd nd 9.60E-06 G35 DPEB 0.000022 6.10E-08 nd nd 0.000017 422 DPEB 9.00E-06 nd nd nd 0.000026 G24 DPEB 1.00E-05 2.20E-06 nd nd 7.70E-06 G80 DPEB 0.000077 5.90E-06 nd nd 0.000122 G22 DPEB 0.000039 2.80E-06 nd nd 0.000022 G7 DPEB 0.000052 3.00E-06 nd nd 0.000049 G50 DPEB 0.000016 2.40E-06 nd nd nd GOLINGA DPEB 3.40E-06 nd nd nd nd SONGOTRA SARI 0.000172 nd nd nd 0.000025 BAWUTA SARI 0.000016 nd nd nd nd ZAAYURA SARI 0.000135 nd nd nd nd PADI-TUYA SARI 0.000026 nd nd nd 8.40E-06 APAGBAALA SARI 0.000022 nd nd nd nd ASONTEM SARI 0.000061 nd nd nd 1.00E-06 ITO7K-299-6 SARI 6.20E-06 nd nd nd nd SARVX-09-002 SARI 0.000073 nd nd nd nd IT98K-628 SARI 0.000035 nd nd nd 0.000012 SARI-6-2-6 SARI 0.000014 nd nd nd 0.000018 SARVX-09-004 SARI 0.00008 nd nd nd nd 179 University of Ghana http://ugspace.ug.edu.gh Appendix 5 cont’d. Acc Source lhistidine glycine lserine lcysteine lasparagine SARVX-07-001 SARI 0.000017 nd nd nd 8.20E-07 SARI-5-5-5 SARI 0.000011 nd nd nd nd ITO7K-298-45 SARI 0.000056 nd nd nd nd IT10K-817-3 SARI 6.10E-06 nd nd nd nd IT86D-610 SARI 3.10E-06 nd nd nd nd IT08K- SARI 0.000074 nd nd nd 0.000017 SARI-2-50-80 SARI 0.000019 nd nd nd 0.000013 SARI-3-11-88 SARI 5.20E-06 nd nd nd nd SARI-1-50-81 SARI 0.00004 nd nd nd 0.000042 IT08K-137-1 SARI 0.000019 nd nd nd nd SARI-3-11-100 SARI 0.000057 nd nd nd nd IT07K-299-69 SARI 0.00009 nd nd nd 7.70E-06 SARI-6-299 SARI 0.000036 nd nd nd 1.20E-06 SARI-13-17-12 SARI 0.000015 nd nd nd nd IT08K-150-241 SARI 0.000036 nd nd nd 7.40E-06 180 University of Ghana http://ugspace.ug.edu.gh Appendix 5. cont’d. Acc Source dlalphaalanine glutamine llysine laspartic bthreonine RC-01 DPEB nd nd nd 5.70E-07 nd AS007 DPEB nd nd nd 1.70E-06 nd 312 DPEB nd nd nd 1.10E-06 nd RC-04 DPEB nd nd nd 8.10E-06 nd AGRAC-216 DPEB nd nd nd nd nd BELEDI B DPEB 8.10E-06 nd nd 6.30E-06 nd LADUNI 1B DPEB 0.000013 nd nd nd nd 111 DPEB 5.90E-06 nd nd 2.10E-06 nd 4223 DPEB 7.80E-06 nd nd nd nd 212 DPEB nd nd nd 0.000015 nd BOTN002 DPEB 0.000014 nd nd 4.40E-06 nd ASOO4 DPEB 0.000078 nd nd 1.00E-05 nd 2213 DPEB 0.000027 nd nd 1.00E-05 nd AS008 DPEB 0.000018 nd nd 0.000011 nd ASOO9 DPEB 0.000023 nd nd 0.000015 nd EMS30-02 DPEB 0.000016 nd nd 0.000012 nd WACCI-TONI DPEB 0.000023 nd nd 1.00E-05 nd ASOO3 DPEB nd nd nd 9.50E-06 nd COLMUT10-01 DPEB 0.000042 nd nd 0.000018 nd EMS10-01 DPEB 0.000016 nd nd 6.50E-06 nd 442 DPEB 5.80E-08 nd nd nd nd 6824 DPEB 4.40E-06 nd nd nd nd F2RG004 DPEB 1.00E-05 nd nd 0.000013 nd G5 DPEB 0.000069 nd nd 9.00E-06 nd 181 University of Ghana http://ugspace.ug.edu.gh Appendix 5. cont’d. Acc Source dlalphaalanine glutamine llysine laspartic bthreonine F2RG011 DPEB 0.000083 nd nd 0.000017 nd RC-03 DPEB 0.000013 nd nd 0.000015 nd F2RG007 DPEB 0.000017 nd nd 7.50E-06 nd BOTN006 DPEB 0.00004 nd nd 0.000013 nd F2RG012 DPEB 0.000012 nd nd 9.00E-06 nd F2RG010 DPEB 0.00002 nd nd 7.00E-06 nd F2RG009 DPEB 0.000028 nd nd 9.10E-06 nd G41 DPEB 0.000024 nd nd 6.70E-06 nd G35 DPEB 0.000037 nd nd 7.10E-06 nd 422 DPEB 0.000034 nd nd 1.00E-05 nd G24 DPEB 0.000037 nd nd 8.90E-06 nd G80 DPEB 0.000088 nd nd 0.000016 nd G22 DPEB 0.000027 nd nd 7.40E-06 nd G7 DPEB 0.000046 nd nd 0.000015 nd G50 DPEB 0.00004 nd nd 7.00E-06 nd GOLINGA DPEB nd nd nd nd nd SONGOTRA SARI 0.000035 nd nd 2.50E-06 nd BAWUTA SARI 1.30E-06 nd nd 4.50E-07 nd ZAAYURA SARI 7.00E-06 nd nd nd nd PADI-TUYA SARI 0.000039 nd nd 1.90E-06 nd APAGBAALA SARI nd nd nd 9.30E-08 nd ASONTEM SARI 2.10E-06 nd nd nd nd ITO7K-299-6 SARI nd nd nd nd nd SARVX-09-002 SARI nd nd nd nd nd IT98K-628 SARI 0.000027 nd nd 1.30E-06 nd SARI-6-2-6 SARI nd nd nd 2.50E-06 nd SARVX-09-004 SARI 2.30E-06 nd nd nd nd 182 University of Ghana http://ugspace.ug.edu.gh Appendix 5. cont’d. Acc Source dlalphaalanine glutamine llysine laspartic bthreonine SARVX-07-001 SARI 4.30E-06 nd nd 1.30E-07 nd SARI-5-5-5 SARI 1.10E-06 nd nd nd nd ITO7K-298-45 SARI 0.000039 nd nd 3.50E-07 nd IT10K-817-3 SARI 0.000015 nd nd nd nd IT86D-610 SARI nd nd nd nd nd IT08K- SARI 0.000026 nd nd 0.000015 nd SARI-2-50-80 SARI 0.000016 nd nd 6.00E-06 nd SARI-3-11-88 SARI nd nd nd 3.30E-06 nd SARI-1-50-81 SARI 0.000027 nd nd 9.40E-06 nd IT08K-137-1 SARI nd nd nd 4.70E-06 nd SARI-3-11-100 SARI nd nd nd 7.70E-06 nd IT07K-299-69 SARI 0.000018 nd nd 0.000017 nd SARI-6-299 SARI nd nd nd nd nd SARI-13-17-12 SARI 0.000011 nd nd 4.70E-06 nd IT08K-150-241 SARI 0.000026 nd nd 7.40E-06 nd 183 University of Ghana http://ugspace.ug.edu.gh Appendix 5. cont’d. Acc Source lthreonine lvaline dproline lmethionine RC-01 DPEB nd 6.90E-06 nd 2.40E-06 AS007 DPEB nd 3.20E-06 2.40E-06 1.90E-06 312 DPEB nd 6.90E-06 2.00E-06 2.20E-06 RC-04 DPEB nd 5.90E-06 4.90E-06 2.00E-06 AGRAC-216 DPEB nd 0.000021 6.80E-07 2.00E-06 BELEDI B DPEB nd 0.000011 nd 3.70E-06 LADUNI 1B DPEB nd 0.000011 nd 1.80E-06 111 DPEB nd 3.00E-06 3.90E-06 2.10E-06 4223 DPEB nd 1.90E-06 nd 1.80E-06 212 DPEB nd nd 8.50E-06 3.30E-06 BOTN002 DPEB nd 1.50E-06 5.60E-06 3.40E-06 ASOO4 DPEB nd 0.000011 0.000017 5.50E-06 2213 DPEB nd 4.10E-06 3.20E-06 4.10E-06 AS008 DPEB nd 6.10E-06 6.30E-06 2.40E-06 ASOO9 DPEB nd 5.30E-06 6.20E-06 1.80E-06 EMS30-02 DPEB nd 9.80E-06 0.000015 1.90E-06 WACCI- TONI DPEB nd 4.00E-06 7.60E-06 3.50E-06 ASOO3 DPEB nd 0.000015 4.50E-06 4.60E-06 COLMUT10- 01 DPEB nd 6.10E-06 0.000021 6.00E-06 EMS10-01 DPEB nd 2.80E-06 2.80E-06 1.80E-06 442 DPEB nd 6.00E-06 7.80E-06 1.80E-06 6824 DPEB nd 0.000012 3.40E-06 1.90E-06 F2RG004 DPEB nd 4.40E-06 2.80E-06 G5 DPEB nd 0.000015 1.00E-05 5.30E-06 184 University of Ghana http://ugspace.ug.edu.gh Appendix 5. cont’d. Acc Source lthreonine lvaline dproline lmethionine F2RG011 DPEB nd 0.000023 0.000014 7.80E-06 RC-03 DPEB nd 1.10E-06 6.90E-06 3.50E-06 F2RG007 DPEB nd 1.00E-05 9.60E-06 3.30E-06 BOTN006 DPEB nd nd 0.000011 4.50E-06 F2RG012 DPEB nd 0.000029 nd 1.80E-06 F2RG010 DPEB nd 0.000012 9.10E-06 2.60E-06 F2RG009 DPEB nd nd 1.00E-05 3.30E-06 G41 DPEB nd nd 1.00E-05 1.90E-06 G35 DPEB nd 1.40E-06 0.000014 4.00E-06 422 DPEB nd 6.50E-07 0.000011 2.50E-06 G24 DPEB nd 3.00E-06 4.70E-06 3.70E-06 G80 DPEB nd 8.50E-07 0.000028 6.10E-06 G22 DPEB nd 1.30E-06 0.00002 5.30E-06 G7 DPEB nd 0.000016 2.70E-06 4.40E-06 G50 DPEB nd 0.000015 4.50E-06 6.50E-06 GOLINGA DPEB nd 5.50E-06 2.60E-06 1.90E-06 SONGOTRA SARI nd 4.40E-06 nd 2.30E-06 BAWUTA SARI nd 1.70E-06 nd 2.00E-06 ZAAYURA SARI nd 3.60E-06 2.00E-06 2.10E-06 PADI-TUYA SARI nd 5.80E-06 2.20E-06 2.00E-06 APAGBAALA SARI nd 4.50E-06 3.60E-06 1.90E-06 ASONTEM SARI nd 2.30E-06 nd 2.10E-06 ITO7K-299-6 SARI nd 3.00E-06 3.40E-06 1.90E-06 SARVX-09-002 SARI nd 3.40E-06 7.50E-06 2.00E-06 IT98K-628 SARI nd 7.00E-06 3.10E-07 2.00E-06 SARI-6-2-6 SARI nd 9.30E-06 0.000011 2.00E-06 SARVX-09-004 SARI nd 0.000016 0.000048 2.60E-06 185 University of Ghana http://ugspace.ug.edu.gh Appendix 5. cont’d. Acc Source lthreonine lvaline dproline lmethionine SARVX-07-001 SARI nd 5.30E-06 0.000014 2.20E-06 SARI-5-5-5 SARI nd 8.40E-06 0.000012 2.60E-06 ITO7K-298-45 SARI nd 0.000014 0.000047 3.20E-06 IT10K-817-3 SARI nd 9.20E-06 0.000023 2.30E-06 IT86D-610 SARI nd 2.10E-06 3.40E-06 1.90E-06 IT08K- SARI nd 0.000029 0.00002 2.80E-06 SARI-2-50-80 SARI nd 3.00E-06 3.10E-06 3.90E-06 SARI-3-11-88 SARI nd 4.30E-06 nd 1.90E-06 SARI-1-50-81 SARI nd 6.20E-06 2.30E-06 1.80E-06 IT08K-137-1 SARI nd 0.000011 nd 2.10E-06 SARI-3-11-100 SARI nd 6.90E-06 4.60E-07 1.90E-06 IT07K-299-69 SARI nd 0.000015 4.00E-06 1.90E-06 SARI-6-299 SARI nd 8.20E-06 nd 2.20E-06 SARI-13-17-12 SARI nd 0.000023 0.000014 4.40E-06 IT08K-150-241 SARI nd 0.000012 9.80E-06 2.00E-06 186 University of Ghana http://ugspace.ug.edu.gh Appendix 5. cont’d. Acc Source isoleucine trans4hydroxylproline ltyrosine dlbetaphenylalanin ltryptophan RC-01 DPEB 8.80E-06 8.30E-06 nd 0.000106 0.00056 AS007 DPEB 8.90E-06 9.10E-06 nd 0.000035 0.000275 312 DPEB 1.00E-05 1.00E-05 4.10E-06 0.000064 0.000172 RC-04 DPEB 9.70E-06 9.80E-06 2.00E-06 0.000016 0.000169 AGRAC-216 DPEB 7.60E-06 7.90E-06 0.000099 0.001522 0.0004 BELEDI B DPEB 7.60E-06 7.80E-06 0.000021 0.000377 0.0005 LADUNI 1B DPEB 7.80E-06 8.00E-06 2.70E-06 0.000236 0.000192 111 DPEB 7.80E-06 8.00E-06 nd 0.000616 0.000362 4223 DPEB 7.70E-06 7.90E-06 nd 0.000076 0.000303 212 DPEB 8.00E-06 8.20E-06 0.000102 nd nd BOTN002 DPEB 7.70E-06 7.90E-06 0.000033 0.000065 0.00079 ASOO4 DPEB 7.90E-06 8.10E-06 0.000071 0.000368 0.000439 2213 DPEB 7.80E-06 8.10E-06 0.000049 nd 0.000998 AS008 DPEB 7.80E-06 8.00E-06 8.50E-06 0.000212 0.0004 ASOO9 DPEB 7.80E-06 8.00E-06 0.000016 nd 0.000382 EMS30-02 DPEB 7.90E-06 8.10E-06 0.000018 0.000052 0.000354 WACCI- TONI DPEB 7.90E-06 8.10E-06 0.000043 nd 0.000352 ASOO3 DPEB 8.00E-06 8.20E-06 0.00006 0.000306 0.001227 COLMUT10- 01 DPEB 8.00E-06 8.20E-06 0.000213 nd 0.000607 EMS10-01 DPEB 7.80E-06 8.00E-06 0.000041 0.000102 0.000155 442 DPEB 8.40E-06 8.60E-06 5.50E-06 0.000151 0.000083 6824 DPEB 8.30E-06 8.50E-06 3.40E-06 0.0001 0.0006 F2RG004 DPEB 7.90E-06 8.10E-06 0.00002 nd nd G5 DPEB 7.70E-06 7.90E-06 0.000155 nd nd 187 University of Ghana http://ugspace.ug.edu.gh Appendix 5. cont’d. Acc Source isoleucine trans4hydroxylproline ltyrosine dlbetaphenylalanin ltryptophan F2RG011 DPEB 7.90E-06 8.00E-06 0.000158 nd nd RC-03 DPEB 7.90E-06 8.10E-06 0.000105 nd nd F2RG007 DPEB 7.70E-06 7.90E-06 0.000094 0.000035 0.000596 BOTN006 DPEB 7.90E-06 8.10E-06 0.000033 nd nd F2RG012 DPEB 7.70E-06 7.90E-06 0.000025 0.000499 0.003769 F2RG010 DPEB 7.80E-06 8.00E-06 0.000021 nd nd F2RG009 DPEB 7.90E-06 8.10E-06 0.000051 nd nd G41 DPEB 8.00E-06 8.20E-06 0.000028 nd nd G35 DPEB 7.90E-06 8.10E-06 0.000021 nd nd 422 DPEB 8.00E-06 8.20E-06 0.000078 nd nd G24 DPEB 8.00E-06 8.20E-06 0.000025 nd nd G80 DPEB 8.00E-06 8.20E-06 0.000287 nd nd G22 DPEB 8.20E-06 8.40E-06 0.00017 nd nd G7 DPEB 8.10E-06 8.30E-06 0.000106 nd nd G50 DPEB 7.70E-06 7.90E-06 0.00016 0.000018 nd GOLINGA DPEB 8.70E-06 8.90E-06 0.000013 0.000058 0.00038 SONGOTRA SARI 8.80E-06 9.00E-06 nd 0.000165 0.000698 BAWUTA SARI 8.60E-06 8.80E-06 nd 0.000096 0.000619 ZAAYURA SARI 9.00E-06 9.20E-06 nd 0.000029 0.00012 PADI-TUYA SARI 9.40E-06 9.50E-06 nd 0.000097 0.000421 APAGBAALA SARI 8.00E-06 8.20E-06 8.60E-06 0.000286 0.001874 ASONTEM SARI 8.30E-06 8.50E-06 1.20E-06 0.000046 0.000227 188 University of Ghana http://ugspace.ug.edu.gh Appendix 5. cont’d. Acc Source isoleucine trans4hydroxylproline ltyrosine dlbetaphenylalanin ltryptophan ITO7K- 299-6 SARI 8.30E-06 8.50E-06 nd 0.000081 0.000368 SARVX- 09-002 SARI 8.10E-06 8.30E-06 0.00005 0.00018 0.001157 IT98K- 628 SARI 9.80E-06 9.90E-06 0.000021 0.000075 0.000647 SARI-6- 2-6 SARI 9.40E-06 9.60E-06 2.10E-07 0.000099 0.000224 SARVX- 09-004 SARI 0.000013 0.000013 0.000145 0.000309 0.000669 SARVX- 07-001 SARI 9.20E-06 9.30E-06 0.000026 0.000215 0.00071 SARI-5- 5-5 SARI 0.000011 0.000011 0.000099 0.000176 0.000695 ITO7K- 298-45 SARI 0.000014 0.000014 0.000135 0.000301 0.000484 IT10K- 817-3 SARI 0.000012 0.000011 0.000082 0.000338 0.000629 IT86D- 610 SARI 8.20E-06 8.40E-06 nd 0.000121 0.000159 IT08K- SARI 7.70E-06 8.00E-06 nd 0.000974 0.001015 SARI-2- 50-80 SARI 7.70E-06 7.80E-06 nd 0.00006 0.000732 SARI-3- 11-88 SARI 7.60E-06 7.80E-06 nd 0.00002 0.000254 SARI-1- 50-81 SARI 7.80E-06 8.00E-06 nd 0.000074 0.000388 IT08K- 137-1 SARI 7.60E-06 7.80E-06 nd 0.00014 0.00118 SARI-3- 11-100 SARI 7.70E-06 7.90E-06 nd 0.000093 0.000923 IT07K- 299-69 SARI 7.80E-06 8.00E-06 nd 0.000099 0.000672 SARI-6- 299 SARI 7.70E-06 7.80E-06 nd 0.004566 0.002271 SARI- 13-17- 12 SARI 8.60E-06 8.70E-06 0.000072 0.000258 0.000387 IT08K- 150- 241 SARI 7.70E-06 7.90E-06 nd 0.000112 0.000696 189 University of Ghana http://ugspace.ug.edu.gh Appendix 6. Highest mean amino acids concentrations in some cowpea accessions. Accession Amino acid Concentration (ppm) Songotra L-Histidine 0.000172 F2RG011 Glycine 6.00 x 10-6 G80 L-Asparagine 0.000122 G80 DL-Alpha-Alanine 0.000088 COLMUT10-01 L-Asapartic 0.000018 IT08K L-Valine 0.000029 SARVX-09-004 L-Proline 0.000048 F2RG011 L-Methionine 7.80 x 10-6 IT07K-298-45 Iso-Leucine 0.000014 IT07K-298-45 Trans-4-Hydroxy-Proline 0.000014 G80 L-Tyrosine 0.000287 SARI-6-299 DL-Beta-phenyl-Alanine 0.004566 F2RG012 L-Tryptophan 0.003769 190