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Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso

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dc.contributor.author Farias, F.J.C.
dc.contributor.author Carvalho, L.P.
dc.contributor.author Silva Filho, J.L.
dc.contributor.author Teodoro, P.E.
dc.date.accessioned 2017-11-08T10:45:55Z
dc.date.available 2017-11-08T10:45:55Z
dc.date.issued 2016-05-20
dc.identifier.issn 16765680
dc.identifier.uri http://dx.doi.org/10.4238/gmr.15028009
dc.identifier.uri http://www.locus.ufv.br/handle/123456789/12867
dc.description.abstract Seed cotton yield is a trait governed by multiple genes that cause changes in the performance of genotypes depending on the cultivation environment. Breeding programs examine the genotype x environment interaction (GE) using precise statistical methods, such as AMMI (additive main effects and multiplicative interaction) and GGE biplot (genotype main effects + genotype x environment interaction). The AMMI method combines the analysis of variance and principal components, to adjust the main effects (genotypes and environments) and the effects of GE interaction, respectively. The GGE biplot groups the genotype additive effect together with the multiplicative effect of the GE interaction, and submits both of these to the principal components analysis. The aim of this study was to investigate the association between the AMMI and GGE biplot methods and select cotton genotypes that simultaneously showed high productivity of seed cotton and stability in Mato Grosso environments. Trials were conducted with cotton cultivars in eight environments across Mato Grosso State in the 2008/2009 crop season. The experiment used a randomized block design with 16 genotypes and four replicates per genotype x environment combination. Data for seeds cotton productivity were analyzed by AMMI and GGE biplot methods. Both methods were concordant in the discrimination of environments and genotypes for phenotypic stability. The genotypes BRS ARAÇÁ and LD 05 CV had high seed cotton productivity and phenotypic stability, and could be grown in all environments across Mato Grosso State. pt-BR
dc.format pdf pt-BR
dc.language.iso eng pt-BR
dc.publisher Genetics and Molecular Research pt-BR
dc.relation.ispartofseries v. 15, n. 2, gmr.15028009, May. 2016 pt-BR
dc.rights Open Access pt-BR
dc.subject AMMI pt-BR
dc.subject GGE biplot pt-BR
dc.subject GE interaction pt-BR
dc.subject Gossypium hirsutum pt-BR
dc.title Biplot analysis of phenotypic stability in upland cotton genotypes in Mato Grosso pt-BR
dc.type Artigo pt-BR


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  • Artigos [662]
    Artigos Técnico-científicos na área de Biologia Geral

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