水分胁迫下叠氮化钠对m2小麦突变体部分性状的遗传相关性分析

Ragb Nada, E. Hassan, Aly Hassan, Z. Attia
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引用次数: 1

摘要

相关性是两个变量的同时变化。观察和测量两种特征之间的关系通常是可取的。在埃及Zagazig大学技术与发展学院的实验农场,于2018/2019生长季进行了田间试验,计算了4种小麦基因型(Gemmeiza-11、Sids-12、shanweel -1和Sahel-1) M2代抽穗天数、植株生长、穗性状、产量及其组成部分的相关性,试验使用了氮化钠(0,0.04、0.06和0.08%)。本研究采用分区设计,3个重复。方差分析显示各处理间各性状差异显著或极显著。抽穗天数至50%、株高、分蘖数/株、花梗长度、穗长、穗数/株、穗数/粒数、千粒重和单株产量均显著或极显著。与此同时,方差分析叠氮化钠治疗显示为天的标题非常重要,花梗长度,不。分蘖数/株、蛋白质含量%和籽粒产量。而对No。小穗/穗状花序,不。不育小穗/穗,不。可育小穗/穗,无。穗/株,秸秆产量/株和生物产量/株。结果表明,各性状间呈显著正相关(P≤0.05),其中千粒重与收获指数%(0.71**)、单株产量(0.62 **)呈显著正相关。秸秆单产与生物单产(0.99**)、籽粒单产(0.83**)呈极显著正相关。生物单株产量与籽粒单株产量呈极显著正相关(0.89**)。收获指数与单株产量呈极显著正相关(0.72**)。综上所述,综合选择这些性状将最终提高面包小麦的产量。遗传相关系数代表了各性状的相关程度,因此相关系数在水分胁迫选择中具有预测价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANALYSIS OF GENETIC CORRELATION BETWEEN SOME TRAITS IN M2 WHEAT MUTANT AS INFLUENCED BY SODIUM AZIDE UNDER WATER STRESS
Correlation is the simultaneous variation of two variables. It is often desirable to observe and measure the relationship between two traits.  A field experiment was conducted during the growing season 2018/2019, to calculate correlation for days to heading, plant growth, spike traits, yield and its components in four wheat genotypes (Gemmeiza-11, Sids-12, Shandweel-1 and Sahel-1) in M2 generation using sodium azaide at  (0, 0.04, 0.06 and 0.08 %), at the Experimental farm, Faculty of Technology and Development, Zagazig University, Egypt. This research was conducted with three replications in split plot design. Analysis of variance showed significant and highly significant differences among treatments for all traits. Mean square du to genotypes was significant and highly significant for days to 50% heading, plant height, number of tillers/plant, peduncle length, spike length, number of spikes /plant,  number of spikelets / spike,  number of grains/ spike, 1000-grain weight,  and grain yield /plant. Meanwhile, analysis of variance for sodium azide treatments revealed highly significant for days to heading, peduncle length, No. of tillers / plant, Protein content % and grain yield plant.  While it showed significant for No. of spikeliets /spike, No. of infertile spikelets / spike, No. of fertile spikelets / spike, No. of spikes / plant, straw yield / plant and biological yield/plant. The results demonstrated significantly (P≤0.05) positive association between various traits, such as 1000-grain weight made positive and significant correlation with harvest index % (0.71**) and grain yield /plant (0.62 **). Straw yield/plant demonstrated positive and highly significant association with biological yield/plant (0.99**), grain yield/plant (0.83**). Meanwhile, biological yield/plant demonstrated positive and highly significant association with grain yield/plant (0.89**). Harvest index showed positive and highly significant association with grain yield/plant (0.72**). These results demonstrating a comprehensive selection for these traits will ultimately improve grain yield in bread wheat genotypes Conclusively, genetic correlation coefficient represents the degree to which respective traits are correlated therefore correlation coefficient have predictive value in selection for water stress.
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