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Soybean adaptability and stability analyzes to the organic system through AMMI, GGE Biplot and mixed models methodologies

2023; UNIVERSIDADE FEDERAL DE SANTA MARIA; Volume: 53; Issue: 9 Linguagem: Inglês

10.1590/0103-8478cr20220262

1678-4596

Leonardo César Pradebon, Ivan Ricardo Carvalho, Murilo Vieira Loro, Eduarda Donadel Port, Bruno Bonfada, Inaê Carolina Sfalcin, Iago Jardim Santos, Gabriel Mathias Weimer Bruinsma, Jose Antonio Gonzalez da Silva, Aljian Antônio Alban, Márcio Alberto Challiol,

Genetic Mapping and Diversity in Plants and Animals

ABSTRACT: This research determined the adaptability and stability of soybean yield for organic systems in different environments. Grain yield data (GY, kg ha-1) from experiments with six soybean genotypes evaluated in six environments in Brazil and one environment in Paraguay were used. The experimental design used was randomized blocks, organized in an incomplete factorial scheme, with six environments in Brazil (Toledo- PR, Palotina- PR, Mangueirinha- PR, Três Passos- RS, Passo Fundo- RS, Major Vieira- SC) and one in Paraguay (Bela Vista do Norte- PY) with six soybean genotypes (BRS 284, BRS 391, BRS 511, BRS 523, BRS 525, BRS 535) arranged in four replications per environment. BRS 511 genotype was characterized by high average grain yield and stability by the AMMI method. BRS 284 genotype was identified as the ideal genotype in the GGE biplot method. WAASBY and BLUP index selected BRS511 and BRS284 genotypes.