Selection of cowpea genotypes for Mato Grosso do Sul viaGGE Biplot and linear regression

Authors

  • Adriano dos Santos Universidade Estadual do Norte Fluminense Darcy Ribeiro
  • Gessi Ceccon Embrapa Agropecuária Oeste Dourados
  • Erina Vitório Rodrigues Embrapa Agroenergia
  • Paulo Eduardo Teodoro Universidade Federal do Mato Grosso do Sul
  • Agenor Martinho Correa Universidade Estadual de Mato Grosso do Sul
  • Francisco Eduardo Torres Universidade Estadual de Mato Grosso do Sul
  • Rita de Cássia Félix Alvarez Universidade Federal do Mato Grosso do Sul

DOI:

https://doi.org/10.14393/BJ-v33n3-33785

Keywords:

multivariate analysis, genotype x environment interaction, Vigna unguiculata

Abstract

The aim of this study was to investigate the association between GGE Biplot and Eberhart and Russell methodologies and to select cowpea genotypes that meet both high grain yield, adaptability and stability for Mato Grosso do Sul environments. The trials were carried out from February to July of 2010, 2011 and 2012 in the municipalities of Dourados, Aquidauana and Chapadão do Sul. The trials in Chapadão do Sul were conducted only in the years 2010 and 2011, totaling eight environments. After detecting significant GE interaction, adaptability and phenotypic stability of cowpea genotypes were analyzed by GGE Biplot and linear regression methods. Eberhart and Russell and GGE biplot methodologies discriminate differently the best cowpea genotypes and it can be used in a complementary way. MNCO1-649F-2-11 and MNCO2-675-4-9 genotypes are the closest to the ideal in terms of high grain yield and phenotypic stability, being so suitable for cultivation in the state of Mato Grosso do Sul.

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Published

2017-05-24

How to Cite

SANTOS, A. dos, CECCON, G., RODRIGUES, E.V., TEODORO, P.E., CORREA, A.M., TORRES, F.E. and CÁSSIA FÉLIX ALVAREZ, R. de, 2017. Selection of cowpea genotypes for Mato Grosso do Sul viaGGE Biplot and linear regression . Bioscience Journal [online], vol. 33, no. 3, pp. 631–638. [Accessed7 December 2022]. DOI 10.14393/BJ-v33n3-33785. Available from: https://seer.ufu.br/index.php/biosciencejournal/article/view/33785.

Issue

Section

Agricultural Sciences