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dc.creatorSilva, Karina Barroso-
dc.creatorBruzi, Adriano Teodoro-
dc.creatorZuffo, Alan Mario-
dc.creatorZambiazzi, Everton Vinicius-
dc.creatorSoares, Igor Oliveri-
dc.creatorRezende, Pedro Milanez de-
dc.creatorFronza, Vanoli-
dc.creatorVilela, Guilherme Leite Dias-
dc.creatorBotelho, Flávia Barbosa Silva-
dc.creatorTeixeira, Cícero Monti-
dc.creatorCoelho, M.A. de O.-
dc.date.accessioned2018-06-11T12:33:10Z-
dc.date.available2018-06-11T12:33:10Z-
dc.date.issued2016-
dc.identifier.citationSILVA, K. B et al. Adaptability and phenotypic stability of soybean cultivars for grain yeild and oil content. Genetics and Molecular Research, [S. l.], v. 15, n. 2, 2016.pt_BR
dc.identifier.urihttps://www.geneticsmr.org/abstract/adaptability-and-phenotypic-stability-of-soybean-cultivars-for-grain-yield-and-oil-content-1767.htmlpt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/29373-
dc.description.abstractThe aim of this study was to verify the adaptability and stability of soybean cultivars with regards to yield and oil content. Data of soybean yield and oil content were used from experiments set up in six environments in the 2011/12 and 2012/13 crop seasons in the municipalities of Patos de Minas, Uberaba, Lavras, and São Gotardo, Minas Gerais, Brazil, testing 36 commercial soybean cultivars of both conventional and transgenic varieties. The Wricke method and GGE biplot analysis were used to evaluate adaptability and stability of these cultivars. Large variations were observed in grain yield in relation to the different environments studied, showing that these materials are adaptable. The cultivars exhibited significant differences in oil content. The cultivars BRSGO204 (Goiânia) and BRSMG (Garantia) exhibited the greatest average grain yield in the different environments studied, and the cultivar BRSMG 760 SRR had the greatest oil content among the cultivars evaluated. Ecovalence was adopted to identify the most stable cultivars, and the estimates were nearly uniform both for grain yield and oil content, showing a variation of 0.07 and 0.01%, respectively. The GGE biplot was efficient at identifying cultivars with high adaptability and phenotype stability.pt_BR
dc.languagept_BRpt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceGenetics and Molecular Researchpt_BR
dc.subjectGGE biplotpt_BR
dc.subjectGlycine max L. Merrilpt_BR
dc.subjectWrickept_BR
dc.subjectGenotype-environment interactionpt_BR
dc.titleAdaptability and phenotypic stability of soybean cultivars for grain yeild and oil contentpt_BR
dc.typeArtigopt_BR
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