Adaptability and stability of erect cowpea genotypes via REML/BLUP and GGE Biplot

Adriano Dos Santos,Gessi Ceccon,Paulo Eduardo Teodoro,Juslei Figueiredo Da Silva,Agenor Martinho Correa,Rita De Cássia Félix Alvarez,Valdecir Batista Alves

doi:10.1590/1678-4499.280

Abstract

ABSTRACT The objective of this study was to investigate the association between the GGE Biplot and REML/BLUP methods and select cowpea genotypes that meet simultaneously high grain yield, adaptability and stability in the Mato Grosso do Sul environments. The experiments were carried out from February to July 2010, 2011 and 2012 in the municipalities of Dourados, Aquidauana and Chapadão do Sul. The experiments in Chapadão do Sul were conducted only in the years of 2010 and 2011, totaling eight environments. After detecting significant genotypes × environments (GE) interaction, the adaptability and the phenotypic stability of cowpea genotypes were analyzed by GGE Biplot and REML/BLUP methods. These methods were concordant in the identification of the best cowpea genotypes for the State of Mato Grosso do Sul. The BRS- Tumucumaque and BRS-Guariba cultivars are the closest to the ideal in terms of high grain yield and phenotypic stability, being suitable for cultivation in the State.

Highlights

The cowpea breeding programs test a large number of genotypes in different environments annually before the final recommendation and multiplication (Santos et al 2014)
The objective of this study was to investigate the association between the GGE Biplot and REML/BLUP methods and select cowpea genotypes that meet simultaneously high grain yield, adaptability and stability in the Mato Grosso do Sul environments
After detecting significant genotypes × environments (GE) interaction, the adaptability and the phenotypic stability of cowpea genotypes were analyzed by GGE Biplot and REML/BLUP methods

Summary

Introduction

The cowpea breeding programs test a large number of genotypes in different environments annually before the final recommendation and multiplication (Santos et al 2014). Adaptability and phenotypic stability analyses are necessary to identify the genotypes with predictable performances. These genotypes are responsive to environmental variations, under specific or broad conditions, as mentioned by Yates and Cochran (1938) and Cruz et al (2014). In this context, there are recent methods that adequately explain the main effects (genotypes and environments) and their interaction; among them, the GGE Biplot and REML/BLUP are highlighted (Silva et al 2011)

Objectives

Methods

Results