水分胁迫条件下小麦产量及其组成的配合力和杂种优势估计

IF 0.5 Q4 AGRONOMY
Marwa M. El Nahas, O. Ali
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引用次数: 0

摘要

干旱是一个世界性的问题,它控制着作物的生产力。2018/19年,六个埃及面包小麦品种在6x6半双列杂交中杂交。在2019/20年的三个田间试验中,在正常灌溉(N)、中等水分胁迫(MS)和严重水分胁迫(SS)条件下对亲本及其15个F1组合进行了评估。结果表明,方差分析对所有研究性状均具有显著性。在所有灌溉处理以及与杂交组合P1x P2、P1 x P3、P1 x P5、P2 x P3、P3 x P5和P5 x P6的单株产量的组合分析下,记录了最高的平均值。一般(GCA)和特异(SCA)配合力估计的均方对所有研究性状都具有高度显著性。大多数性状的GCA/SCA比值大于1。亲本P1对穗粒数、穗粒产量和单株产量表现出积极而显著的GCA效应。在胁迫条件下,杂交组合P3×P5和P4×P5的单株产量达到了最高的SCA效果。杂交组合P1×P3、P2×P3、P3×P5、P4×P5和P5×P6在N、MS、SS条件下的单株穗数、单株粒数、单株产量、1000粒重和单株产量以及组合数据均表现出正显著的杂种优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of Combining Ability and Heterosis for Wheat Yield and Its Components under Water Stress Conditions
DROUGHT is a worldwide problem which controls the crop productivity. Six Egyptian bread wheat varieties were crossed in a 6x6 half diallel in 2018/19 season. Parents and their fifteen F1 crosses were evaluated under normal irrigation (N), mid water stress (MS) and severe water stress (SS) during 2019/20 in three field experiments. Results showed that the analysis of variance were significant for all the studied traits. The highest mean values were recorded under all irrigation treatments as well as the combined analysis with the crosses P1x P2, P1 x P3, P1 x P5, P2 x P3, P3 x P5 and P5 x P6 for grain yield per plant. Mean squares for both general (GCA) and specific (SCA) combining ability estimates were highly significant for all studied traits. GCA/SCA ratio was greater than unity for most traits. The parental P1 exhibited positive and significant GCA effects for number of kernels per spike, grain yield per spike and grain yield per plant. The highest desirable SCA effects were obtained with the crosses P3 x P5 and P4 x P5 for grain yield per plant under stresses conditions. Positive significant heterosis were detected by the crosses P1 x P3, P2 x P3, P3 x P5, P4 x P5 and P5 x P6 for number of spikes per plant, number of kernels per spike, grain yield per spike, 1000-grain weight and grain yield per plant at N, MS, SS conditions and the combined data.
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CiteScore
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