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首页> 外文期刊>Journal of Natural Sciences Research >Effect of Genotype X Environment Interaction on the Performance of Hybrid Sorghum Genotypes in Moisture Stressed Areas of Ethiopia
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Effect of Genotype X Environment Interaction on the Performance of Hybrid Sorghum Genotypes in Moisture Stressed Areas of Ethiopia

机译:基因型X环境相互作用对埃塞俄比亚水分胁迫区杂交高粱基因型性能的影响

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Genotype x environment (GxE) interaction and yield-stability analysis is an imperative in measuring varietal stability and suitability for cultivation over seasons and ecological zones. Developing high performing and stable genotypes across different locations is of most importance to plant breeders. This study was conducted using 84 hybrid lines to identify the most stable and high yielding genotypes. To gain these objective, multiple-environmental trials (MET) was undertaken annually across locations. AMMI model has shown that the largest proportion of the total variation in grain yield was attributed to environments and somehow to genotypes. GGE bi-plot analysis also visualized the winner genotype at each area and to identify high yielding and stable genotypes. The genotype with the high yield in SR is G66, and in KB G27, G10, G79, in SH G25, G78, G86 and G68 while, in SR the best genotypes is G66. The other vertex genotypes (G1, G32, G51, 71 and G26 are poorest in all environments. Environments, AM and SH exerted strong interaction forces while the rest two did less. On the other hand, the genotypes near the origin are not sensitive to environmental interaction and those distant from the origins are sensitive and have large interaction. Hence, G1, G5, G66, G71, G18, G10 and G25 had more responsive since they were far away from the origin whereas the genotypes G54, G29, G23, G4, G9, G5, G43, G13 and G7 were close to the origin and hence they were less sensitive to environmental interactive forces while genotypes G38, G11, G45 and G76 were the most closest to the origin and hence had almost no interaction forces. Generally, G74 can be recommended for specific adaptation whereas G2 and G16 relatively for broader adaptation.
机译:基因型X环境(GXE)相互作用和产量稳定性分析是测量季节和生态区域培养的品种稳定性和适用性的必要性。在不同地点开发高性能和稳定的基因型对植物育种者来说是最重要的。使用84个杂交线进行该研究以鉴定最稳定和高产基因型。为了获得这些目标,每年在地点进行多次环境试验(核准)。 AMMI模型表明,谷物产量总变化的最大比例归因于环境和某种方式对基因型。 GGE双绘图分析还可视化每个区域的获胜者基因型,并鉴定高产率和稳定的基因型。具有高屈服的基因型是G66,在Kb G27,G10,G79中,在SH G25,G78,G86和G68中,在SR中,最好的基因型是G66。所有环境中的其他顶点基因型(G1,G32,G51,71和G26都是最糟糕的。环境,AM和SH施加了强烈的互动力,而其余部分较少。另一方面,原点附近的基因型不敏感环境相互作用和来自起源的远离伴随的人是敏感的并且具有大的相互作用。因此,由于它们远离原点,因此G1,G5,G66,G71,G18,G10和G25具有更高的响应性,而基因型G54,G29,G23, G4,G9,G5,G43,G13和G7接近原点,因此它们对环境交互力敏感,而基因型G38,G11,G45和G76是最接近原点的,因此几乎没有互动力。通常,G74可以推荐用于特定适配,而G2和G16相对更广泛适应。

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