Genomic Prediction Of The Performance Of Tropical Doubled Haploid Maize Lines Under Artificial Striga Hermonthica (Del.) Benth. infestation.

dc.contributor.authorKimutai, J.J.C.
dc.contributor.authorMakumbi, D.
dc.contributor.authorBurgueño, J.
dc.contributor.authorPérez-Rodríguez, P.
dc.contributor.authoret al.
dc.date.accessioned2025-07-11T10:47:49Z
dc.date.issued2024-08-12
dc.descriptionResearch Article
dc.description.abstractStriga hermonthica (Del.) Benth., a parasitic weed, causes substantial yield losses in maize production in sub-Saharan Africa. Breeding for Striga resistance in maize is constrained by limited genetic diversity for Striga resistance within the elite germplasm and phenotyping capacity under artificial Striga infestation. Genomics-enabled approaches have the potential to accelerate identification of Striga resist ant lines for hybrid development. The objectives of this study were to evaluate the accuracy of genomic selection for traits associated with Striga resistance and grain yield (GY) and to predict genetic values of tested and untested doubled haploid maize lines. We geno typed 606 doubled haploid lines with 8,439 rAmpSeq markers. A training set of 116 doubled haploid lines crossed to 2 testers was phenotyped under artificial Striga infestation at 3 locations in Kenya. Heritability for Striga resistance parameters ranged from 0.38–0.65 while that for GY was 0.54. The prediction accuracies for Striga resistance-associated traits across locations, as determined by cross-val idation (CV) were 0.24–0.53 for CV0 and from 0.20 to 0.37 for CV2. For GY, the prediction accuracies were 0.59 and 0.56 for CV0 and CV2, respectively. The results revealed 300 doubled haploid lines with desirable genomic estimated breeding values for reduced num ber of emerged Striga plants (STR) at 8, 10, and 12 weeks after planting. The genomic estimated breeding values of doubled haploid lines for Striga resistance-associated traits in the training and testing sets were similar in magnitude. These results highlight the potential application of genomic selection in breeding for Striga resistance in maize. The integration of genomic-assisted strategies and doubled haploid technology for line development coupled with forward breeding for major adaptive traits will enhance genetic gains in breeding for Striga resistance in maize.
dc.description.sponsorshipThe research was supported by the Bill and Melinda Gates Foundation (BMGF), the Foundation for Food and Agriculture Research (FFAR), and the United States Agency for International Development (USAID) through the project Accelerating Genetic Gains in Maize and Wheat (AGG) for Improved Livelihoods (INV-003439), and by the Bill and Melinda Gates Foundation through the project “Achieving Sustainable Striga Control for Poor Farmers in Africa” (grant ID #OPP1006185).
dc.identifier.citationKimutai, J. J., Makumbi, D., Burgueño, J., Pérez-Rodríguez, P., Crossa, J., Gowda, M., ... & Prasanna, B. M. (2024). Genomic prediction of the performance of tropical doubled haploid maize lines under artificial Striga hermonthica (Del.) Benth. infestation. G3: Genes, Genomes, Genetics, 14(10), jkae186.
dc.identifier.urihttps://doi.org/10.1093/g3journal/jkae186
dc.identifier.urihttps://ugspace.ug.edu.gh/handle/123456789/43377
dc.language.isoen
dc.publisherG3
dc.subjectStriga
dc.subjectMaize Breeding
dc.subjectGenomic Prediction
dc.subjectDoubled Haploid
dc.subjectSparse Phenotyping
dc.titleGenomic Prediction Of The Performance Of Tropical Doubled Haploid Maize Lines Under Artificial Striga Hermonthica (Del.) Benth. infestation.
dc.typeArticle

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