GENOTYPE BY ENVIRONMENT INTERACTION IN GREEN COWPEA ANALYZED VIA MIXED MODELS

JOSÉ TORRES; CHRISTIANE NORONHA GOMES DOS SANTOS OLIVEIRA; LINDOMAR MARIA DA SILVEIRA; GLAUBER HENRIQUE DE SOUSA NUNES; ANTÔNIO JOSÉ RODRIGUES DA SILVA; MATHEUS FELIPE NOGUEIRA DA SILVA

GENOTYPE BY ENVIRONMENT INTERACTION IN GREEN COWPEA ANALYZED VIA MIXED MODELS

2017

The restricted maximum likelihood/best linear unbiased prediction (REML/BLUP) mixed model method has been used to study the effects of genotype by environment interaction (G x E) in various crops including cowpea. This work aimed to analyze the G x E interaction via mixed models to identify cowpea genotypes that meet high adaptability, stability and productivity of pods and green grains when grown under Mossoró, Rio Grande do Norte State conditions. Crop value and use were evaluated in two growing seasons, using randomized complete blocks design with 23 genotypes and four replications. The genetic parameters were estimated by the REML/BLUP procedure and selection was based on the harmonic mean of the relative performance of genetic values (HMRPGV). Agreement between the HMGV, relative performance of genotypic values (RPGV) and HMRPGV statistics, provided genotype discrimination. Furthermore, the HMRPGV results enabled the simultaneous selection of superior genotypes for productivity, adaptability and stability. For the productivities of pods and green grains, the most notable genotypes were the cultivars BRS Xiquexique and BRS Aracê, and the line MNC05-835B-15, which showed a high productivity of grains, adaptability and stability, and could be grown in the two growing seasons considered in the study.

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