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dc.contributor.authorOwusu, E.Y.
dc.contributor.authorAmegbor, I.K.
dc.contributor.authorMohammed, H.
dc.contributor.authorKusi, F.
dc.contributor.authorAtopkle, I.
dc.contributor.authorSie, E.K.
dc.contributor.authorIshahku, M.
dc.contributor.authorZakaria, M.
dc.contributor.authorIddrisu, S.
dc.contributor.authorKendey, H.A.
dc.contributor.authorBoukar, O.
dc.contributor.authorFatokun, C.
dc.contributor.authorNutsugah, S.K.
dc.date.accessioned2022-08-17T08:11:41Z
dc.date.available2022-08-17T08:11:41Z
dc.date.issued2020-06-08
dc.identifier.citationOwusu, E.Y., Amegbor, I.K., Mohammed, H., Kusi, F., Atopkle, I., Sie, E.K., ... & Nutsugah, S.K. (2020). Genotype × environment interactions of yield of cowpea (Vigna unguiculata (L.) Walp) inbred lines in the Guinea and Sudan Savanna ecologies of Ghana. Journal of Crop Science and Biotechnology, 23, 453–460.
dc.identifier.issn1975-9479
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7651
dc.description.abstractThe variable cowpea productivity across different environments demands evaluating the performance of genotypes in a breeding program prior to their release. The aim of this study was to assess yield stability of eight cowpea advanced breeding lines selected from participatory varietal selection in multilocational trials, and to identify mega-environments for cowpea production in Ghana. The genotypes were evaluated across five environments in 2016 and 2017 in randomized complete block design with three replications. The GEA-R version 4.0 software was used for genotype main effect plus genotype by environment interaction (GGE) biplot analyses. Analysis of variance (PROC GLM of SAS using a RANDOM statement with the TEST option) detected significant variations for location, year, genotype, environment, and their interactions. The results showed that the yield performances of the cowpea genotypes were highly influenced by genotype × environment interaction effects. The principal component 1 (PC1) and PC2 were significant components which accounted for 46.75% and 22.84% of GGE sum of squares, respectively. We showed for the first time, two mega-environments for cowpea production and testing in the major cowpea production agro-ecologies in Ghana. The genotypes SARI-6-2-6 and IT07K-303-1 were adapted to Damongo, Nyankpala, and Tumu, whereas SARI-2-50-80 was adapted to Yendi and Manga. The best ranking location was Damongo followed by Tumu, and Nyankpala. The high-yielding genotypes, IT86D-610, IT10K-837-1, IT07K-303-1, and SARI-2-50-80 had significant higher grain yields than the check (Bawutawuta) and were recommended for release as cultivars (or as breeding lines) to boost cowpea production in Ghana.
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.format.extent453–460
dc.language.isoen
dc.subjectStability
dc.subjectAdaptation
dc.subjectEnvironment
dc.subjectCowpeas
dc.subjectGenotypes
dc.titleGenotype x environment interactions of yield of cowpea (Vigna unguiculata (L.) Walp) inbred lines in the Guinea and Sudan Savanna ecologies of Ghana
dc.typeJournal Article
cg.contributor.crpGrain Legumes
cg.contributor.affiliationCouncil for Scientific and Industrial Research, Ghana
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryGhana
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.identifier.bibtexciteidOWUSU:2020
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectCowpea
cg.iitasubjectGrain Legumes
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Diseases
cg.iitasubjectPlant Production
cg.journalJournal of Crop Science and Biotechnology
cg.notesPublished online: 08 Jun 2020
cg.accessibilitystatusLimited Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCopyrighted; all rights reserved
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1007/s12892-020-00054-5
cg.iitaauthor.identifierChristian Fatokun: 0000-0002-8428-7939
cg.futureupdate.requiredNo
cg.identifier.volume23


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