首页> 外文期刊>Journal of Plant Breeding and Crop Science >Genotype by environment interaction and yield stability analysis of open pollinated maize varieties using AMMI model in Afar Regional State, Ethiopia
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Genotype by environment interaction and yield stability analysis of open pollinated maize varieties using AMMI model in Afar Regional State, Ethiopia

机译:通过环境相互作用的基因型和使用AMMI模型在埃塞俄比亚阿法尔州的开放授粉玉米品种的产量稳定性分析

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The present study attempts to analyze the magnitude of GxE interaction and evaluates the adaptability and stability of open pollinated maize genotypes for grain yield, using AMMI (Additive Main Effects and Multiplicative Interaction) model. The field experiment was conducted for two consecutive years during the off seasons of 2016/17 and 2017/18 at three locations namely, Awra, Dalifage and Dubti. The experiment in each location was laid out using RCBD with three replications. The pooled analysis of variance over environments for AMMI model was highly significant (P<0.01). The results revealed the existence of considerable variation among the genotypes and the environments for grain yield, indicating the differential performance of genotypes across the environments. Based on the AMMI model genotypes Melkassa-2 and Melkassa-7 were the most stable varieties with lower Interaction (IPCA) score and lowest ASV rank. Genotypes Melkassa-3 and Melkassa-4 had shown specific adaptation to environment Awra and Dalifage, respectively; indicating that these genotypes were more sensitive to environmental changes and have better adaptation for specific locations. The results of AMMI biplots were also in agreement with the results of ASV. Thus, the whole analysis generally suggested that maize grain yield was highly influenced by environments and G x E interaction. Thus, testing OPV maize varieties in more seasons and locations could enhance breeding efficiency with respect to genotypic stability and adaptation across environments.
机译:本研究试图使用AMMI(加性主效应和乘性相互作用)模型分析GxE相互作用的强度,并评估开放授粉玉米基因型对谷物产量的适应性和稳定性。在2016/17和2017/18淡季期间,在Awra,Dalifage和Dubti三个地点连续进行了两年的现场试验。每个位置的实验均使用RCBD进行了三个重复。 AMMI模型在环境中的方差汇总分析非常显着(P <0.01)。结果表明,基因型和环境之间存在相当大的谷物产量差异,表明基因型在整个环境中的差异表现。基于AMMI模型,基因型Melkassa-2和Melkassa-7是最稳定的品种,具有较低的互作(IPCA)评分和最低的ASV等级。基因型Melkassa-3和Melkassa-4分别显示出对环境Awra和Dalifage的特异性适应。表明这些基因型对环境变化更敏感,并且对特定位置具有更好的适应性。 AMMI双标的结果也与ASV的结果一致。因此,整个分析通常表明,玉米籽粒产量受到环境和G x E相互作用的高度影响。因此,在更多季节和地点测试OPV玉米品种可以提高基因型稳定性和跨环境适应性的育种效率。

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