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首页> 外文期刊>Bulletin of the National Research Centre >Genotypic and Phenotypic Correlations and Path Coefficient Analyses for Yield and its Components in Thirty Hexaploid Wheat Varieties
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Genotypic and Phenotypic Correlations and Path Coefficient Analyses for Yield and its Components in Thirty Hexaploid Wheat Varieties

机译：30个六倍体小麦品种的产量及其构成因素的基因型和表型相关及通径系数分析。

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摘要

Thirty bread wheat varieties with different genetic background were evaluated in this study. The analysis of variance indicated highly significant differences among genotypes for all studied traits. Mean values of traits manifested that variety Maxibak gave the highest values for 100-grain weight and grain yield per plant, while the varieties MD, Sakha 202, Sakha 60 and Golan showed the highest values for number of spikes per plant, spike length, number of spikelets per spike, and number of grains per spike, respectively. However, selection index revealed that Icarda 24 was the best variety in the combined values for the six studied traits. Highly significant positive phenotypic and genotypic correlation coefficients were found between grain yield per plant and each of number of spikes per plant, number of grains per spike and 100-grain weight. The direct phenotypic effect was moderately low for number of spikes per plant, number of grains per spike and 100-grain weight. On the other hand, the direct genotypic effect was slightly high for number of spikes per plant and 100-grain weight. The results indicated that the most important grain yield components were number of spikes per plant, number of grains per spike and 100-grain weight as estimated from phenotypic and genotypic correlations. 100-grain weight had the highest contribution to grain yield through its total direct and indirect effects at phenotypic and genotypic path analysis. Also, these effects were important for number of spikes per plant and number of grains per spike. Therefore, these three traits could be used as selection criteria in wheat breeding programs for increasing grain yield/plant.
机译：本研究评估了三十个具有不同遗传背景的面包小麦品种。方差分析表明，所有研究性状的基因型之间都存在高度显着差异。性状的平均值表明，Maxibak品种的单株重粒和籽粒产量最高，为100粒重，而MD，Sakha 202，Sakha 60和Golan品种的单株穗数，穗长，穗数最高。每个穗的小穗数量和每个穗的籽粒数量。然而，选择指数显示，在所研究的六个性状的组合值中，Icarda 24是最佳品种。在每株植物的籽粒产量与每株植物的穗数，每穗的籽粒数和100粒重之间均发现了高度显着的正表型和基因型相关系数。对于每种植物的穗数，每穗的谷粒数和100粒重，直接表型效应较低。另一方面，对于单株穗数和100粒重，直接基因型效应略高。结果表明，最重要的谷物产量构成要素是单株穗数，单穗粒数和表型和基因型相关性估计的100粒重。通过在表型和基因型路径分析中的总直接和间接作用，100粒重对谷物产量的贡献最大。同样，这些影响对于每株植物的穗数和每穗的谷粒数也很重要。因此，这三个性状可以作为小麦育种计划的选择标准，以提高谷物产量/植物。

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