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Use of GGE biplot for targeting early maturing maize cultivars to mega environments in West Africa

dc.contributor.authorBadu-Apraku, B.
dc.contributor.authorAkinwale, R.O.
dc.contributor.authorMenkir, A.
dc.contributor.authorObeng-Antwi, K.
dc.contributor.authorOsuman, A.S.
dc.contributor.authorCoulibaly, N.
dc.contributor.authorOnyibe, J.E.
dc.contributor.authorYallou, G.C.
dc.contributor.authorAbdullai, M.S.
dc.contributor.authorDidjera, A.
dc.date.accessioned2019-12-04T11:10:40Z
dc.date.available2019-12-04T11:10:40Z
dc.date.issued2011
dc.identifier.citationBadu-Apraku, B., Akinwale, R.O., Menkir, A., Obeng-Antwi, K., Osuman, A.S., Coulibaly, N., ... & Didjera, A. (2011). Use of GGE biplot for targeting early maturing maize cultivars to mega-environments in West Africa. African Crop Science Journal, 19(2), 79-96.
dc.identifier.issn1021-9730
dc.identifier.urihttps://hdl.handle.net/20.500.12478/2228
dc.description.abstractMaize (Zea mays L.) is an important staple food consumed by people with varying food preferences and socioeconomic backgrounds in West Africa (WA). Genotype by environment interactions (G×E) exist in WA implying the need for extensive testing of cultivars in multiple environments over years before cultivar realistic recommendations can be made. This study examined the effect of G×E on the performance and stability of early cultivars and to identify core test locations in the mega-environments of WA. Across locations, 2004 TZE-W Pop STR C4 produced the highest grain yield and was the most stable cultivar. DMR-ESRW QPM produced the lowest yield. The test environments contributed about 83.4% of the total variation in grain yield, while genotypes accounted for 1.5% and G × E, 11%. Test environments were classified into four mega-environments, namely, Katibougou, Sotouboua, Ejura, and Bagou as the first group; the second group consisted of Manga, Nyankpala, Bagauda, Yendi, Angaredebou, Mokwa, Katibougou, and Zaria; while the third group comprise of Ativeme, and Ikenne; and the fourth, Ina. Test locations Ejura, Sotouboua and Bagou and Katibougou were highly correlated in their ranking of the genotypes in group 1, suggesting that a promising early maturing cultivar selected in one of these locations in one country will also be suitable for production in the other locations within the same mega-environments in different countries. Kita was identified as the ideal location, while Zaria was close to the ideal location.
dc.description.sponsorshipUnited States Agency for International Development
dc.description.sponsorshipDrought Tolerant Maize for Africa
dc.language.isoen
dc.subjectMaize
dc.subjectGenotypes
dc.subjectEnvironment
dc.titleUse of GGE biplot for targeting early maturing maize cultivars to mega environments in West Africa
dc.typeJournal Article
dc.description.versionPeer Review
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationCouncil for Scientific and Industrial Research, Ghana
cg.contributor.affiliationInstitut d'Economie Rurale, Mali
cg.contributor.affiliationAhmadu Bello University
cg.contributor.affiliationInstitut National des Recherches Agricoles du Bénin
cg.contributor.affiliationSavanna Agricultural Research Institute, Ghana
cg.contributor.affiliationInstitu Togolais de Recherches Agricoles
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectMaize
cg.journalAfrican Crop Science Journal
cg.howpublishedFormally Published
cg.accessibilitystatusLimited Access
local.dspaceid90959


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