Predictors of integrated soil fertility management practice among cocoa farmers in Ghana

dc.contributor.authorQuaye, A.K.
dc.contributor.authorDoe, E.K.
dc.contributor.authorAmon-Armah, F.
dc.contributor.authorArthur, A.
dc.contributor.authorDogbatse, J.A.
dc.contributor.authorKonlan, S.
dc.date.accessioned2021-07-15T12:40:46Z
dc.date.available2021-07-15T12:40:46Z
dc.date.issued2021
dc.descriptionResearch Articleen_US
dc.description.abstractThis study defines and estimates the proportion of organic and inorganic crop-land husbandry practices in the composite of Integrated Soil Fertility Management (ISFM) by cocoa farmers in Ghana using their socioeconomic and ecological attributes. A binary logistic regression was used to determine how these factors predict the proportion of organic materials in the composite. The results showed that only 13% of farmers use pure organicbased ISFM while 87% use different combinations of organic-based and inorganic ISFM. The estimates revealed that frequency of access to ISFM information and awareness, level of education and age of farmers below 30 years significantly influenced various degrees of organic-based ISFM. Among the significant ecological predictors were locations of cocoa agroforests, and intercropping cocoa with food crops and other tree crops at establishment phase (0–5 years) of cocoa plantations. These results imply that during the establishment phase, farmers are more likely to use low (<50%) organic-based ISFM. In contrast, farmers who manage matured monocrop cocoa plantations (21–30 years) are more likely to utilize high (≥50%) organic-based ISFM. The use of high organic-based ISFM by farmers can be improved by increasing their access to ISFM information, education and awareness.en_US
dc.identifier.urihttp://ugspace.ug.edu.gh/handle/123456789/36444
dc.language.isoenen_US
dc.publisherJournal of Agriculture and Food Researchen_US
dc.subjectIntegrated soil fertility managementen_US
dc.subjectAdoptionen_US
dc.subjectAgroforestryen_US
dc.subjectCocoa production ecologyen_US
dc.subjectLogistic regressionen_US
dc.subjectEcological predictorsen_US
dc.titlePredictors of integrated soil fertility management practice among cocoa farmers in Ghanaen_US
dc.typeArticleen_US

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