Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/32642
metadata.artigo.dc.title: Adaptability and stability of soybean cultivars for grain yield and seed quality
metadata.artigo.dc.creator: Silva, K. B.
Bruzi, A. T.
Zambiazzi, E. V.
Soares, I. O.
Pereira, J. L. A. R.
Carvalho, M. L. M.
metadata.artigo.dc.subject: GGE biplot
Graphic method
Selection index
Soybean - Seeds quality
Método gráfico
Índice de seleção
Soja - Qualidade de sementes
metadata.artigo.dc.publisher: Fundação Norte-Rio-Grandense de Pesquisa e Cultura
metadata.artigo.dc.date.issued: May-2017
metadata.artigo.dc.identifier.citation: SILVA, K. B. et al. Adaptability and stability of soybean cultivars for grain yield and seed quality. Genetics and Molecular Research, [S. l.], v. 16, n. 2, p. 1-15, May 2017. doi: 10.4238/gmr16029646.
metadata.artigo.dc.description.abstract: This study aimed at verifying the adaptability and stability of soybean cultivars, considering the grain yield and quality of seeds, adopting univariate and multivariate approaches. The experiments were conducted in two crops, three environments, in 2013/2014 and 2014/2015 crop seasons, in the county of Inconfidentes, Lavras, and Patos de Minas, in the Minas Gerais State, Brazil. We evaluated 17 commercial soybean cultivars. For adaptability and stability evaluations, the Graphic and GGE biplot methods were employed. Previously, a selection index was estimated based on the sum of the standardized variables (Z index). The data relative to grain yield, mass of one thousand grain, uniformity test (sieve retention), and germination test were standardized (Zij) per cultivar. With the sum of Zij, we obtained the selection index for the four traits evaluated together. In the Graphic method evaluation, cultivars NA 7200 RR and CD 2737 RR presented the highest values for selection index Z. By the GGE biplot method, we verified that cultivar NA 7200 RR presented greater stability in both univariate evaluations, for grain yield, and for selection index Z.
metadata.artigo.dc.identifier.uri: http://www.funpecrp.com.br/gmr/year2017/vol16-2/pdf/gmr-16-02-gmr.16029646.pdf
http://repositorio.ufla.br/jspui/handle/1/32642
metadata.artigo.dc.language: en_US
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