Abstract
Abstract: The objective of this work was to evaluate the productive performance, and the adaptability and stability parameters of modern soybean (Glycine max) cultivars in multi-environment trials, as well as to identify the ideal genotypes for eight growing environments in Brazil. A randomized complete block experimental design was carried out, with three replicates, for the evaluation of 46 soybean cultivars in eight environments, in the microregions of adaptation 102, 201, and 202, in the 2014/2015 crop season. A complex genotype x environment interaction occurred, with changes in the ranking of genotypes among locations. The NA 5909 RG, M6410IPRO, NS 5959 IPRO, NS6823RR, M5917IPRO, NS 6767 RR, and 6563RSF IPRO cultivars showed the highest mean yields. The NA 5909 RG, NS6823RR, M6410IPRO, and NS 5959 IPRO cultivars showed high adaptability and stability and high grain yield, in the evaluated environments, and were ranked next to the ideal genotype for the analyzed environments. There are modern soybean cultivars, which are adapted, stable, and highly productive, for cultivation in the microregions 102, 201, and 202 for soybean crop adaptation in Brazil.
Highlights
Soybean [Glycine max (L.) Merr.] is one of the most important crops for the Brazilian economy
Data from multi-environment trials are necessary to assess the presence of Genotype × environment interaction (GEI), for the evaluation of yield, and genotype adaptability and stability
Several methods for adaptability and stability analyses have been described in the literature, which differ according to the statistics – as the analysis of variance, nonparametric regression, multivariate analysis, and the mixed-model analysis, and according to the parameters used
Summary
Soybean [Glycine max (L.) Merr.] is one of the most important crops for the Brazilian economy. Genotype × environment interaction (GEI) is one of the main challenges of soybean breeding programs for both the phases of cultivar selection and recommendation (Branquinho et al, 2014). GEI consists in differentiated genotypic expressions, in different growing environments, and it is responsible for reducing the association between phenotype and. Data from multi-environment trials are necessary to assess the presence of GEI, for the evaluation of yield, and genotype adaptability and stability. Adaptability is the ability of the genotype to respond predictably to environmental stimuli, and stability indicates the predictability of performance in different environments. Several methods for adaptability and stability analyses have been described in the literature, which differ according to the statistics – as the analysis of variance, nonparametric regression, multivariate analysis, and the mixed-model analysis –, and according to the parameters used. Methods based on mixed models enable the analysis of genotypes, as that of the random effect analysis; and the multivariate analysis has innovative solutions for the visualization of results
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