Identification of soybean genotypes with higt stability for the Brazilian macro - region 402 via biplot analysis.

Biplot analysis has often been used to recommend genotypes from different crops in the presence of the genotype x environment interaction (GxE). The objective of this study was to verify the association between the AMMI and GGE biplot methods and to select soybean genotypes that simultaneously meet...

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Detalhes bibliográficos
Autores: RAMOS JUNIOR, E. U., BROGIN, R. L., GODINHO, V. de P. C., BOTELHO, F. J. E., TARDIN, F. D., TEODORO, P. E.
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:Brasil
Recursos:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
Repositorio:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Idioma:inglés
OAI Identifier:oai:www.alice.cnptia.embrapa.br:doc/1080183
Acesso em linha:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1080183
http://dx.doi.org/10.4238/gmr16039786
Access Level:acceso abierto
Palavra-chave:Soybean
Macro region
Genotypes
Descrição
Resumo:Biplot analysis has often been used to recommend genotypes from different crops in the presence of the genotype x environment interaction (GxE). The objective of this study was to verify the association between the AMMI and GGE biplot methods and to select soybean genotypes that simultaneously meet high grain yield and stability to the environments belonging to the Edaphoclimatic Region 402, from Soybean Cultivation Region 4 (Mid-West), which comprises the Center North and West of Mato Grosso, and the southern region of Rondônia. Grain yield of 12 soybean genotypes was evaluated in seven competition trials of soybean cultivars in the 2014/2015 harvest. Significant GxE interaction revealed the need to use methods for recommending genotypes with adaptability and yield stability. The methods were complementary regarding the recommendation of the best genotypes. The AMMI analysis recommended MG/BR46 (Conquista) (G10) widely for all environments evaluated, whereas the BRY23-55012 (G9) and BRAS11-0149 (G2) were the most indicated genotypes by the GGE biplot method. However, the methods were concordant as to Porto Velho (PV1) environment that contributed least to the GxE interaction.