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Marker assisted screening of wheat (TRITICUM AESTIVUM L.) Cultivars for drought tolerance and yield improvement

机译:标记辅助筛选小麦(TRITICUM AESTIVUM L.)品种的耐旱性和产量提高

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Wheat being cultivated in diverse types of environmental conditions is facing different physiological stresses like drought that result in low yield, food scarcity and economic loss. The problem can be minimized by careful selection and identification of drought resistant varieties and their further breeding. The present study was conducted having fifty two wheat varieties based on ten parameters of morphology along with molecular analysis using nine SSR markers to analyze their potential against drought. Variation in qualitative and quantitative traits including number of Peduncle length, Spike length, Plant height, Days to 50% heading, Biological yield, Flag leaf area, Yield per plant, 1000 grains weight, Number of spikelet’s per spike, and HI were recorded. Morphological data were subjected to analysis of variance (ANOVA), correlation and cluster analysis. ANOVA showed that all the parameters were significant. There was also significant correlation among the parameters. The highest values of mentioned traits were observed in genotype 010810(42cm), 010797(13cm), 010791(118cm), 010808(158), Sahar(19.7gm), ZAM(70.3), Sahar(12.7gm), Sahar(59gm), 010810(67) and 010817 (84.94), respectively. Dendrogram clustered all the genotypes into six groups. Nine molecular markers used for screening of drought tolerant genotypes, amplified maximum number of drought tolerant genes in genotypes 010817, 010771, 010803, 010726, 010810, Sahar, 010772, 010732, PS-2004, 010727, 010718, 010725, Siran-2010, 010786 and ARE-10. Sahar, 010810, 011786 and 010817 genotypes showed best performance both in morphological and molecular screening and are therefore, recommended for utilization in future wheat breeding programs for rain fed areas of Pakistan.
机译:在各种类型的环境条件下种植的小麦面临着不同的生理压力,例如干旱,导致低产,粮食短缺和经济损失。通过仔细选择和鉴定抗旱品种及其进一步育种,可以使问题最小化。本研究基于十个形态学参数对52个小麦品种进行了研究,并使用9个SSR标记进行了分子分析,以分析其抗旱潜力。记录了定性和定量性状的变化,包括花梗长度,穗长,植株高度,抽穗至50%的天数,生物产量,旗叶面积,单株产量,1000粒重,小穗的小穗数和HI。对形态学数据进行方差分析(ANOVA),相关性和聚类分析。方差分析显示所有参数均显着。这些参数之间也存在显着的相关性。基因型010810(42cm),010797(13cm),010791(118cm),010808(158),萨哈尔(19.7g),ZAM(70.3),萨哈尔(12.7gm),萨哈尔(59gm) ),010810(67)和010817(84.94)。树状图将所有基因型分为六类。九种用于筛选耐旱基因型的分子标记,扩增了基因型010817、010771、010803、010726、010810,Sahar,010772、010732,PS-2004、010727、010718、010725,Siran-2010的最大耐旱基因数010786和ARE-10。萨哈尔010810、011786和010817基因型在形态和分子筛选方面均表现出最佳性能,因此建议将其用于巴基斯坦雨育地区的未来小麦育种计划。

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