Grain Yield Stability of Ethiopian Mustard (Brassica carinata A. Braun) Genotypes Using AMMI Analysis in the Highlands of Bale, Southeastern Ethiopia

T. Tadesse, A. Tekalign, Belay Asmare
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Abstract

The presence of significant G*E for quantitative traits such as yield can seriously limit the feasibility of selecting superior genotypes. Thus, the purpose of this study was to investigate grain yield stability and genotype X environment interaction for fifteen Ethiopian Mustard genotypes (Brassica carinata A. Braun) conducted in the highlands of Bale, Southeastern Ethiopia for three consecutive years (2018 to 2020) at two locations, Sinana and Agarfa. Randomized Complete Block Design with four replications was used. The combined analysis of variance for grain yield indicated highly significant interaction (P<0.01%) for genotypes, genotype X environment interaction, and environment. The analysis of variance for AMMI for grain yield revealed highly significant interaction for genotypes, genotypes X environment interaction, and environment. It was observed that 44.84% of the variation in grain yield was accounted by environment, 37.54% for genotypes by environments, and, 17.62% was for genotypes. The first and the second IPCA components with degree freedom of 34 was accounted for 67.64% of the interaction effect and revealed the two models were fit. Genotype G12, G11, G8, and G1 showed the lowest AMMI Stability Value (ASV) indicating stability. Furthermore, Genotypes G11, G12, G5, and G8 have the lowest GSI value indicating high stability. However, out of these genotypes, G11 showed a high mean grain yield with a yield advantage of 25.8% and showed the lowest GSI value compared to overall genotypes and the checks used in the study. Therefore, G11 was identified as a candidate genotype to be verified in the coming main season of 2022/23 for possible release for the highlands of bale zone, Southeastern Ethiopia, and similar agro-ecologies.
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基于AMMI分析的埃塞俄比亚东南部贝尔高地芥菜(Brassica carinata A. Braun)基因型产量稳定性
在产量等数量性状上存在显著的G*E,严重限制了选择优良基因型的可行性。因此,本研究的目的是研究连续三年(2018 - 2020年)在埃塞俄比亚东南部贝尔高地Sinana和Agarfa两个地点进行的15种埃塞俄比亚芥菜基因型(Brassica carinata A. Braun)的产量稳定性和X基因型环境相互作用。采用随机完全区组设计,共4个重复。籽粒产量的综合方差分析表明,基因型、基因型X环境互作和环境互作的交互作用极显著(P<0.01%)。AMMI对籽粒产量的方差分析显示,基因型、基因型X环境互作和环境互作对籽粒产量有极显著的影响。结果表明,环境对产量的影响占44.84%,基因型对产量的影响占37.54%,基因型对产量的影响占17.62%。自由度为34的第一和第二IPCA分量占相互作用效应的67.64%,表明两个模型是拟合的。基因型G12、G11、G8和G1表现出最低的AMMI稳定值(ASV),表明具有稳定性。G11、G12、G5和G8基因型GSI值最低,稳定性较高。然而,在这些基因型中,G11表现出较高的平均粮食产量,产量优势为25.8%,与所有基因型和研究中使用的检查相比,GSI值最低。因此,G11被确定为候选基因型,将在即将到来的2022/23主要季节进行验证,以便在埃塞俄比亚东南部的棉花区高地和类似的农业生态中释放。
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