English

Abstract

The objectives of the present study were: (i) to evaluate the genotypic performances of 45 soybean genotypes with the future finality of recommendation of varieties for the State of São Paulo, Brazil; (ii) to determine the stability and adaptability of the genotypes and compare the performance and accuracy of the Wricke’s ecovalence, additive main effects and multiplicative interaction analysis (AMMI), GGE-Biplot and harmonic mean of the relative performance of genotypic values (MHPRVG) methods; (iii) to evaluate the phenotypic, genotypic and environmental correlations among the traits of 45 genotypes in three environments. The exploration of genotype-by-environment interaction (GEI) allowed the identification of 21 genotypes with high mean grain yield, representing different relative maturity groups and stability levels to the environments. This group was subdivided by crop cycle, in which the genotypes 18, 36, 20, 34 and 33 were early cycles (108 to 125 days), while genotypes 11, 22, 44 (CD 219), 24, 23, 14, 32, 1, 12, 39, 30, 38, 7 and 26 were medium cycles (126 to 135 days) and genotypes 25 and 37 were late cycles (≥ 136 days). The interpretations obtained from the ecovalence, AMMI and GGE-biplot methods were more similar than those from the MHPRVG method. This was due to the method’s properties, which assigns more weight to grain yield and little weight to the adaptability and stability parameters. The genotypic and environmental correlations among traits enhanced the interpretations of the genotype x environmental interactions.   Key words: Glycine max, stability and adaptability, additive main effects and multiplicative interaction analysis (AMMI), GGE-biplot, harmonic mean of the relative performance of genotypic values (MHPRVG), restricted maximum likelihood/best linear unbiased procedure analysis (REML/BLUP).