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dc.contributor.authorBaiyeri, K.
dc.contributor.authorTenkouano, A.
dc.contributor.authorMbah, B.
dc.date.accessioned2019-12-04T11:21:03Z
dc.date.available2019-12-04T11:21:03Z
dc.date.issued1999
dc.identifier.citationBaiyeri, K., Tenkouano, A. & Mbah, B. (1999). Comparing yield stability of Musa genotypes in Nigeria using four statistical methods. Journal of Tropical Forestry Resources, 15(2), 53-67.
dc.identifier.urihttps://hdl.handle.net/20.500.12478/3648
dc.description.abstractFour statistical approaches were examined for stability analysis for yield in order to determine their congruence in identification of musa genotypes. Thirty-six Musa genotypes grown in four location for two crop cycle were evaluated. The statistical methods used included Gauch’s additive main effect and multiplicative interaction (AMMI) model, Finlay and Wilkinson’s regression coefficient (FW), Francis and Kennenberg’s grouping based on CV and mean yield (FK), and Kang’s statistic for simultaneous selection (YSi) for high and stable yield. Changes in yield of genotypes across the locations were observed, suggesting that there was little homeostatic adaptation of the genotypes. There was a weak rank correlation among the locations and crop cycles, and also among stability methods. However, AMMI was significantly correlated with YSi. Also, FW was significantly correlated with FK. The level of convergence between any two methods ranged from 16 to 44%, while among any three or the four method was between 16 and 18%. Three cooking banana landraces, Bluggoe, Fougamou and pelipita were identified as high yielding and stable by all methods. In most cases, genotypes selected by AMMI and FW were also classified as stable by the other two methods. We conclude that simultaneous use of different stability statistics may protect breeders from wrongly identifying presumably stable genotypes.
dc.language.isoen
dc.subjectMusa Genotypes
dc.subjectCrop Cycle
dc.subjectBananas
dc.subjectBreeders
dc.subjectAntagonistic
dc.subjectStability Analysis
dc.titleComparing yield stability of Musa genotypes in Nigeria using four statistical methods
dc.typeJournal Article
dc.description.versionPeer Review
cg.contributor.affiliationUniversity of Nigeria
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectPlant Genetic Resources
cg.iitasubjectDomestic Trade
cg.iitasubjectLivelihoods
cg.iitasubjectSmallholder Farmers
cg.iitasubjectPlant Diseases
cg.iitasubjectPests Of Plant
cg.iitasubjectPlant Breeding
cg.iitasubjectMarkets
cg.iitasubjectFarm Management
cg.iitasubjectFood Security
cg.iitasubjectGenetic Improvement
cg.iitasubjectHandling, Transport, Storage And Protection Of Agricultural Products
cg.iitasubjectPlant Production
cg.accessibilitystatusLimited Access
local.dspaceid95803


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