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首页> 外文期刊>Cogent Food & Agriculture >Genotypic and phenotypic correlation and path coefficient analysis for yield and yield-related traits in advanced bread wheat (Triticum aestivum L.) lines
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Genotypic and phenotypic correlation and path coefficient analysis for yield and yield-related traits in advanced bread wheat (Triticum aestivum L.) lines

机译:高级面包小麦产量和产量相关性状的基因型和表型相关性和路径系数分析(Triticum Aestivum L.)线

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Information on the mutual association of traits is important for effective selection in plant-breeding program. Forty-nine advanced bread wheat lines were evaluated in western Amhara region with triple lattice design at two locations in 2018 main rainy season to evaluate the association of yield and yield-related traits and determine the direct and indirect effects of yield-related traits on grain yield. The result of analysis of variance showed significant differences among the tested genotypes for the majority of characters under study for both locations. This indicates the presence of high variability among the tested bread wheat lines. Grain yield had significant positive correlation with days to maturity, grain-filling period, plant height, kernels spike~(?1), hectoliter weight, thousand seed weight, biomass yield, and harvest index at both genotypic and phenotypic levels including spike length at phenotypic levels at Adet and with plant height, thousand seed weight, biomass yield and harvest index at Debre Tabor both at genotypic and phenotypic levels. Days to maturity and grain-filling period also showed significant positive phenotypic correlation with grain yield at Debre Tabor. This indicates that selection based on these traits could be more effective to maximize grain yield. Path analysis showed that biomass yield and harvest index had the highest positive genotypic and phenotypic direct effect on grain yield at both locations. This implies the true relationship between these traits and grain yield; therefore, due attention should be given on such traits during selection for further improvement.
机译:关于相互关联的信息的信息对于植物育种计划中有效选择是重要的。在2018年主要雨季的两个地区的两国地区的西阿哈拉地区评估了四十九个先进的面包小麦线,以评估产量和产量相关的性状的协会,并确定产量相关性状对谷物的直接和间接影响屈服。异常分析结果表明,在两家地区研究的大多数人物的测试基因型中显示出显着差异。这表明在测试的面包小麦线之间存在高变异性。谷物产量与成熟度,籽粒灌装周期,植物高度,粒子穗〜(α1),凝聚剂重量,千种子重量,生物质产量和收获指数在基因型和表型水平,包括尖峰长度在基因型和表型水平下,ADET和植物高度,葡萄塔虎眼的植物高度,千种子重量,生物量产量和收获指标。成熟度和籽粒灌装周期的日子还显示出德布鲁塔林籽粒产量的显着正表型相关性。这表明基于这些特征的选择可能更有效地最大化谷物产量。路径分析表明,生物质产量和收获指数具有最高的阳性基因型和表型对两个位置的谷物产量直接影响。这意味着这些特征与谷物产量之间的真正关系;因此,在选择过程中应给予适当的关注以进一步改进。

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