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

被引：5

作者：

Pradebon, Leonardo Cesar ^{[1
]}

Carvalho, Ivan Ricardo ^{[1
]}

Loro, Murilo Vieira ^{[2
]}

Port, Eduarda Donadel ^{[1
]}

Bonfada, Bruno ^{[1
]}

Sfalcin, Inae Carolina ^{[1
]}

Santos, Iago Jardim ^{[1
]}

Bruinsma, Gabriel Mathias Weimer ^{[1
]}

da Silva, Jose Antonio Gonzalez ^{[1
]}

Alban, Aljian Antonio ^{[3
]}

Challiol, Marcio Alberto ^{[3
]}

机构：

[1] Univ Reg Noroeste Rio Do Grande Sul, Dept Estudos Agr, BR-98700000 Ijui, RS, Brazil

[2] Univ Fed Santa Maria UFSM, Ctr Ciencia Rurais CCR, Dept Fitotecn, Santa Maria, RS, Brazil

[3] Gebana Brasil, Campo Largo, PR, Brazil

来源：

CIENCIA RURAL | 2023年 / 53卷 / 09期

关键词：

Glycine max; Genotype x environment interaction; WAASBY; SELECTION; TRIALS;

D O I：

10.1590/0103-8478cr20220262

中图分类号：

S3 [农学（农艺学）];

学科分类号：

0901 ;

摘要：

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 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.

引用

页数：13