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Spatial multivariate cluster analysis for defining target population of environments in west Africa for yam breeding

dc.contributor.authorAlabi, T.R.
dc.contributor.authorAdebola, P.O.
dc.contributor.authorAsfaw, A.
dc.contributor.authorKoeyer, D. de
dc.contributor.authorLópez Montes, A.
dc.contributor.authorAsiedu, Robert
dc.date.accessioned2019-12-04T11:26:33Z
dc.date.available2019-12-04T11:26:33Z
dc.date.issued2019-07
dc.identifier.citationAlabi, T.R., Adebola, P.O., Asfaw, A., De Koeyer, D., Lopez-Montes, A. & Asiedu, R. (2019). Spatial multivariate cluster analysis for defining target population of environments in west Africa for yam breeding. International Journal of Applied Geospatial Research, 10(3), 1-30.
dc.identifier.issn1947-9654
dc.identifier.urihttps://hdl.handle.net/20.500.12478/4648
dc.description.abstractYam (Dioscorea spp.) is a major staple crop with high agricultural and cultural significance for over 300 million people in West Africa. Despite its importance, productivity is miserably low. A better understanding of the environmental context in the region is essential to unlock the crop’s potential for food security and wealth creation. The article aims to characterize the production environments into homologous mega-environments, having operational significance for breeding research. Principal component analysis (PCA) was performed separately on environmental data related to climate, soil, topography, and vegetation. Significant PCA layers were used in spatial multivariate cluster analysis. Seven clusters were identified for West Africa; four were country-specific; the rest were region-wide in extent. Clustering results are valuable inputs to optimize yam varietal selection and testing within and across the countries in West Africa. The impact of breeding research on poverty reduction and problems of market accessibility in yam production zones were highlighted.
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.format.extent1-30
dc.language.isoen
dc.rightsCC-BY-4.0
dc.subjectDioscorea
dc.subjectYams
dc.subjectEnvironment
dc.titleSpatial multivariate cluster analysis for defining target population of environments in west Africa for yam breeding
dc.typeJournal Article
dc.description.versionPeer Review
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationInternational Trade Centre
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryBenin
cg.coverage.countryCote D'Ivoire
cg.coverage.countryGhana
cg.coverage.countryNigeria
cg.creator.identifierPatrick Adebola: 0000-0002-5155-6194
cg.creator.identifierAsrat Asfaw: 0000-0002-4859-0631
cg.creator.identifierDavid De Koeyer: 0000-0001-8064-6538
cg.creator.identifierAntonio Jose Lopez-Montes: 0000-0001-5801-2475
cg.creator.identifierRobert Asiedu: 0000-0001-8943-2376
cg.researchthemeBIOTECH & PLANT BREEDING
cg.isijournalISI Journal
cg.authorship.typesCGIAR and advanced research institute
cg.iitasubjectPlant Breeding
cg.iitasubjectYam
cg.journalInternational Journal of Applied Geospatial Research
cg.howpublishedFormally Published
cg.accessibilitystatusOpen Access
local.dspaceid101393
cg.targetaudienceScientists
cg.identifier.doihttp://dx.doi.org/10.4018/ijagr.2019070104


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