Selection for wide adaptability and high phenotypic stability of Brazilian soybean genotypes

Abstract

ABSTRACT. Advances in genetic enhancement techniques have led to an increase in soybean production. Thus, soybean is currently one the most economically important cultured species worldwide. The objectives of the present study were to study the interaction of soybean genotypes per environment in terms of grain productivity and to evaluate their phenotypic adaptability and stability, with the final aim of selecting lineages with high productivity, wide adaptability, and high stability. Seven soybean genotypes, consisting of five lineages developed by the soybean genetic enhancement program of the Universidade Federal de Uberlândia (Brazil) and two controls, were evaluated during several annual cycles in seven different environments. A randomized complete block design (RCBD) with three replicates was adopted in each site. This study followed the methodology proposed by Eberhart and Russel and Lin and Binns, with modifications by Carneiro, and the AMMI (additive main effects and multiplicative interaction model) analysis. The average productivity of soybean cultivars in the trials was 2739.26 kg/ha. The L01V13 genotype and the UFUS Guarani cultivar had wide adaptation according to the methodology proposed by Eberhart and Russel and Lin and Binns, with modifications by Carneiro. When analyzed with the AMMI model, the UFUS Guarani cultivar showed high stability. In general, the methodologies studied are complementary and, when used together, increase the reliability of the classification, providing support for the use of specific soybean cultivars in different environments.

Grain yield, adaptability and stability of soybean genotypes in different Cerrado environments of Piauí, Brazil

“…Similar studies using this method for phenotypic adaptability and stability of soybean genotypes were performed by (Oliveira et al, 2016;Polizel et al, 2013;Yokomizo et al, 2013).…”

“…An analysis using the AMMI method was carried out to study the adaptability and stability of soybean genotypes, in order to compare the results with the previous method, and then verify the existence or not of agreement. In this analysis, as used by Oliveira et al (2016) and Yokomizo et al (2013), the first two principal components must explain 70% or more of total accumulated and explained variance of all components.…”

“…For stability, the distance between the points representing the genotypes and environments and zero score (origin) was considered, according to Oliveira et al (2016) and, therefore, genotypes with greater stability in the environments are those whose points are situated close to zero (center). As for adaptability of genotypes in each environment, scores for genotypes and environment were considered.…”

“…2018 important to identify genotypes with this behavior for recommendation in the studied environments or in similar areas. In turn, the genotypes G1, G4, G11, G16, G18, G21, G22, G24, G25 (UFUS Guarani) and G26 (UFUS Riqueza) showed low stability and were considered the main contributors to the interaction G x E. Generally, genotypes that have high stability are those who contribute least to the G x E interaction, according to Oliveira et al (2016).…”

“…where the coordinates of genotypes and environments are represented on the main axes of interaction (IPAC's -Incremental Principal Component Analysis) which allow us to describe the adaptability and stability of genotypes in relation to the tested environments, as shown in Oliveira et al (2016) and Sousa et al (2015).…”