Performance of Cowpea Genotypes in the Brazilian Midwest Using the Bayesian Additive Main Effects and Multiplicative Interaction Model

Abstract

Core Ideas We used the AMMI Bayesian model for selection of cowpea genotypes.We identified two genotypes with more expressive genotypic values.It is not possible to carry out the general recommendation of cowpea genotypes for the Brazilian Midwest. Cowpea is one of the world's most important tropical and subtropical food sources. In Brazil, it is grown principally in three regions: the Midwest, the Northeast, and the North. This makes the genotype × environment (G×E) interaction a challenge on the recommendation of the best genotypes for these regions. The aim of this study was to use the additive main effects and multiplicative interaction model under the Bayesian approach to recommend the best genotypes for the Brazilian Midwest. Six trials using cowpea genotypes were conducted in the municipalities of Aquidauana, Chapadão do Sul, Dourados, and Primavera. The experimental design included a randomized block design with 20 treatments (17 lines and three cowpea cultivars) and four replications. We identified only two genotypes (G15 and G2) with more expressive genotypic values and whose credibility regions do not include zero. From the credibility regions built for the genotypic and environmental scores, we verify that these genotypes contributed to the G×E interaction, presenting specific adaptability to the subgroup of environments (E5, E6). These results indicate that it is not possible to carry out the general recommendation of high‐yielding cowpea genotypes for the Brazilian Midwest region.