Genetics and Molecular Research · 2017 · 19 citations · 10 references
AgricultureAgronomyCrop SciencesCrop ImprovementCrop ProductionYield MonitoringAgronomic Performance EvaluationAgronomic Trait EvaluationQuality Trait EvaluationSelection MethodsStability TestingYield StabilityBiplot AnalysisCrop Yield StabilityGge Biplot AnalysisSelection Index For YieldSoybean BreedingUnivariate AnalysisYield Stability IndexYield-related Trait Assessment
This study aimed at verifying the adaptability and stability of soybean cultivars, considering the grain yield and quality of seeds, adopting univariate and multivariate approaches. The experiments were conducted in two crops, three environments, in 2013/2014 and 2014/2015 crop seasons, in the county of Inconfidentes, Lavras, and Patos de Minas, in the Minas Gerais State, Brazil. We evaluated 17 commercial soybean cultivars. For adaptability and stability evaluations, the Graphic and GGE biplot methods were employed. Previously, a selection index was estimated based on the sum of the standardized variables (Z index). The data relative to grain yield, mass of one thousand grain, uniformity test (sieve retention), and germination test were standardized (Z ij ) per cultivar. With the sum of Z ij , we obtained the selection index for the four traits evaluated together. In the Graphic method evaluation, cultivars NA 7200 RR and CD 2737 RR presented the highest values for selection index Z. By the GGE biplot method, we verified that cultivar NA 7200 RR presented K.B. Silva et al. Genetics and Molecular Research 16 (2): gmr16029646 greater stability in both univariate evaluations, for grain yield, and for selection index Z.
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Cultivar Evaluation and Mega‐Environment Investigation Based on the GGE Biplot
Weikai Yan, L. A. Hunt, Qinglai Sheng et al. · Crop Science · 2000 · 1.9K citations