Abstract
Grain yield is a constant concern in soybean breeding programs for being highly influenced by the environment. This trait can be significantly affected by the sowing times. Thus, for the correct cultivar recommendation, methods of stability and adaptability analysis are used to verify the genotype x environment interaction at different sowing times. In this study, ten soybean cultivars were evaluated in 2016/2017 and 2017/2018 seasons, at different sowing times. Each experiment was carried out in a randomized block design with three replications. The methods of Eberhart & Russel and Lin & Binns were used for cultivars recommendation for general, favorable, and unfavorable environments. Cultivars CS2728, BONUS, and BRS1074 show high yield and predictability and therefore are the most suitable for the region of Chapadão do Sul.
Highlights
Soybean [Glycine max (L.) Merril] is the most cultivated crop in Brazil
The significant increase in soybean yield in Brazil was driven by the development of technology and highpotential genetic materials provided by breeding programs
This study aimed to investigate the genotypes x environments interaction (GxE) interaction in soybean cultivars grown at different sowing times and use methods of adaptability and stability for soybean cultivars recommendation
Summary
Soybean [Glycine max (L.) Merril] is the most cultivated crop in Brazil. The country accounted for 238.5 million tons of grains in the 2018/2019 harvest (Conab, 2019). The effect of genotypes x environments interaction (GxE) is crucial in cultivars recommendation. For this reason, the search for cultivars with wide adaptation to the different environments has increased due to the dependence on the climatic oscillations at sowing times (Carbonell et al, 2001). The search for cultivars with wide adaptation to the different environments has increased due to the dependence on the climatic oscillations at sowing times (Carbonell et al, 2001) To minimize these effects, breeding programs have invested in genotype analysis by performing several trials at the final stages. Viçosa, v. 68, n.4, p. 326-332, jul/aug, 2021 classified as stable, moderately stable, or unstable (Cruz et al, 2012)
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