Adaptability and stability of cowpea genotypes via REML/BLUP and GGE BIPLOT

Hadassa Kathyuci Antunes De Abreu,Agenor Martinho Correa,Paulo Eduardo Teodoro,Euriann Lopes Marques Yamamoto,Ricardo Fachinelli,Gessi Ceccon

doi:10.14393/bj-v35n4a2019-42125

Hadassa Kathyuci Antunes De Abreu, Agenor Martinho Correa + Show 4 more

Open Access

https://doi.org/10.14393/bj-v35n4a2019-42125

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Abstract

Several methodologies have been proposed in order to measure the influence that genotype-by-environment interaction exerts on the various characters of interest. The mixed models using REML/BLUP and GGE Biplot have been mentioned as advantageous to identify superior genotypes. The use of environmental information can be useful to find the factors that are in the real difference between the genotypes. The objective of this study was to compare statistical methodologies for the adaptability and stability analysis of cowpea genotypes in value for cultivation and use testings. The experiments were carried out from March to July 2016 and 2017, in the municipalities of Dourados and Aquidauana. A randomized complete block design was used, with 14 genotypes and four replicates, 12 advanced lines and two commercial cultivars. After detecting significant genotype-by-environment interaction, the adaptability and phenotypic stability of cowpea genotypes were analyzed by the GGE Biplot and REML/BLUP. Both methodologies were concordant in the identification of the best cowpea genotypes for the State of Mato Grosso do Sul. The genotypes 6 (Pingo-de-ouro 1-5-4), 10 (Pingo-de-ouro 1-5-10) and 8 (Pingo-de-ouro 1-5-7) are the most suitable to be grown in the State, because they have gathered high grain yield, adaptability and stability.

Highlights

Cowpea (Vigna unguiculata (L.) Walp.) is an important source of protein for the Brazilian population, mainly for low-income people in the North and Northeast regions, where it is an important factor for generating employment and income (CARDOSO et al, 2014; PEREIRA et al, 2014)
Its consumption is expanding more intensely to the Midwest and Southeast regions of Brazil, where it has been cultivated in large areas using technology and standing out as an alternative to farming arrangements, especially in the off-season growing (RODRIGUES et al, 2017)
This fact contributes to the genotype-by-environment interaction (GxE), i.e., the best genotype in one place does not maintain its performance in other environments (OLIVEIRA et al, 2018)

Summary

Introduction

Cowpea (Vigna unguiculata (L.) Walp.) is an important source of protein for the Brazilian population, mainly for low-income people in the North and Northeast regions, where it is an important factor for generating employment and income (CARDOSO et al, 2014; PEREIRA et al, 2014). Its consumption is expanding more intensely to the Midwest and Southeast regions of Brazil, where it has been cultivated in large areas using technology and standing out as an alternative to farming arrangements, especially in the off-season growing (RODRIGUES et al, 2017). This fact contributes to the genotype-by-environment interaction (GxE), i.e., the best genotype in one place does not maintain its performance in other environments (OLIVEIRA et al, 2018). There are recent methodologies that adequately explain the main effects (genotypes and environments), among which stand out the GGE-Biplot and REML/BLUP methodologies (SILVA et al, 2011)

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