Junior E U Ramos, Brogin R L, Godinho V P C, Botelho F J E, Tardin F D, Teodoro P E
Embrapa Soja, Sinop, MT, Brasil.
Embrapa Soja, Vilhena, RO, Brasil.
Genet Mol Res. 2017 Sep 27;16(3):gmr-16-03-gmr.16039786. doi: 10.4238/gmr16039786.
Biplot analysis has often been used to recommend genotypes from different crops in the presence of the genotype x environment interaction (GxE). The objective of this study was to verify the association between the AMMI and GGE biplot methods and to select soybean genotypes that simultaneously meet high grain yield and stability to the environments belonging to the Edaphoclimatic Region 402, from Soybean Cultivation Region 4 (Mid-West), which comprises the Center North and West of Mato Grosso, and the southern region of Rondônia. Grain yield of 12 soybean genotypes was evaluated in seven competition trials of soybean cultivars in the 2014/2015 harvest. Significant GxE interaction revealed the need to use methods for recommending genotypes with adaptability and yield stability. The methods were complementary regarding the recommendation of the best genotypes. The AMMI analysis recommended MG/BR46 (Conquista) (G10) widely for all environments evaluated, whereas the BRY23-55012 (G9) and BRAS11-0149 (G2) were the most indicated genotypes by the GGE biplot method. However, the methods were concordant as to Porto Velho (PV1) environment that contributed least to the GxE interaction.
在存在基因型×环境互作（GxE）的情况下，双标图分析常被用于推荐不同作物的基因型。本研究的目的是验证加性主效应乘积交互作用（AMMI）和基因型主效应与基因型×环境互作效应（GGE）双标图方法之间的关联，并从大豆种植区4（中西部）的土壤气候区402中选择同时满足高籽粒产量和对环境稳定性的大豆基因型，该区域包括马托格罗索州的中北部和西部以及朗多尼亚州的南部地区。在2014/2015收获季的七次大豆品种竞争试验中，对12个大豆基因型的籽粒产量进行了评估。显著的GxE互作表明需要使用推荐具有适应性和产量稳定性基因型的方法。在推荐最佳基因型方面，这些方法具有互补性。AMMI分析广泛推荐MG/BR46（征服者）（G10）适用于所有评估环境，而GGE双标图方法最推荐的基因型是BRY23 - 55012（G9）和BRAS11 - 0149（G2）。然而，在对GxE互作贡献最小的波多韦柳（PV1）环境方面，这两种方法的结果是一致的。
