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首页> 外文期刊>African Journal of Agricultural Research >Additive main effects and multiplicative interaction (AMMI) and genotype main effect and genotype by environment interaction (GGE) biplot analysis of large white bean (Phaseolus vulgaris L.) genotypes across environments in Ethiopia
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Additive main effects and multiplicative interaction (AMMI) and genotype main effect and genotype by environment interaction (GGE) biplot analysis of large white bean (Phaseolus vulgaris L.) genotypes across environments in Ethiopia

机译：埃塞俄比亚跨环境的大型白豆（菜豆）基因型的环境相互作用（GGE）双图分析的加性主要效应和乘性相互作用（AMMI）和基因型主要效应和基因型

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Undertaking a multi-environment trial prior to releasing a high yielding and stable varieties for a specific environment is a major step in plant breeding. Therefore, the objective of this work was to study the effect of Genotype × Environment Interaction (GEI) and evaluate the adaptability and stability of sixteen large white common bean genotypes. Additive main effects and multiplicative interaction (AMMI) and genotype main effect and genotype by environment interaction (GGE) biplot models were used. The experimental design was 4 × 4 triple lattice across environments. AMMI analysis of variance showed environments that explained the greater proportion (72.42%) of the total variation, followed by GEI (10.75%) and genotype (2.32%). This indicates the possibility of selecting stable genotypes. AMMI biplot analysis revealed that the first and second interaction axes captured 42.62 and 26.77% of the total variation due to GEI. GGE model showed that the nine environments used for the study belonged to two mega-environments. AMMI stability value (ASV), AMMI and GGE biplot identified one common genotype, G14 (SAA 2) that was the overall best in performance in relation to yield and stability. This suggests that for reliability and optimum result it is better to combine the result of two or more analytical tools for yield and stability in recommendation genotype for verification and release.
机译：在针对特定环境发布高产且稳定的品种之前进行多环境试验是植物育种的重要步骤。因此，这项工作的目的是研究基因型×环境相互作用（GEI）的作用，并评估十六种大型白色普通豆基因型的适应性和稳定性。使用了加性主效应和乘性相互作用（AMMI）和基因型主效应和基因型，通过环境相互作用（GGE）双图模型。实验设计是跨环境的4×4三重晶格。 AMMI方差分析显示环境解释了总变异的更大比例（72.42％），其次是GEI（10.75％）和基因型（2.32％）。这表明选择稳定基因型的可能性。 AMMI双图分析显示，由于GEI，第一和第二相互作用轴捕获了总变异的42.62和26.77％。 GGE模型表明，用于该研究的9个环境属于两个大环境。 AMMI稳定性值（ASV），AMMI和GGE双图确定了一种常见的基因型G14（SAA 2），相对于产量和稳定性，该基因型总体上表现最佳。这表明，为了获得可靠性和最佳结果，最好将两个或多个分析工具的结果结合在一起，以确保推荐和验证的推荐基因型的产量和稳定性。

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