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Drought tolerance indices based evaluation of chickpea advanced lines under different water treatments

机译:不同水处理条件下基于鹰嘴豆耐旱指数的耐旱性评价

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Chickpea is mainly grown on marginal lands across the Pakistan where it has to face the problem of water shortage due to erratic water availability. For improvement of chickpea production, there is dire need for development of drought tolerant chickpea genotypes with high yield potential. Therefore, 20 advanced lines were evaluated against three water treatments (irrigated, rainfed and rain shelters) by following two-factor factorial randomized complete block design. Treatment mean comparison showedthat irrigation at initiation of flowering promoted the vegetative growth and reduced the grain yield by redirecting the translocation of assimilates to the vegetative parts instead of grains. Rain shelter treatment induced the earliness in chickpea genotypes to complete the life cycle as early as possible to avoid severe water shortage but due to earliness there was great yield penalty in genotypes. Principal component analysis (PCA) based on drought tolerance indices converted the traits into principal components (PCs) in which PC 1 and PC 2 contributed 84.62% cumulative variability. So, these components were used for making biplot graph. Biplot categorized the genotypes into four distinct groups. Group-1 which was characterized to have the genotypeswith superior performance under normal and stressed conditions included CM 1403/08, CM 1909/08, CM 516/06, D 096-11, CH 51/ 07, CH 54/07 and TGDX 203. Genotypes of group-1 were selected to be used as parents to develop high yielding genotypes because these genotypes showed highest yield under diverse water regimes. Other three groups had least importance as their tolerance level and potential yield was lower than Group-1.
机译:鹰嘴豆主要生长在巴基斯坦各地的边缘地带,由于供水不畅,它不得不面对缺水的问题。为了提高鹰嘴豆的产量,迫切需要开发具有高产量潜力的耐旱鹰嘴豆基因型。因此,通过遵循两因素析因随机完整模块设计,针对20种先进生产线针对三种水处理(灌溉,雨养和雨棚)进行了评估。处理均值的比较表明,开花开始时进行灌溉可促进营养生长,并通过将同化物转移到营养部位而不是谷物上而降低谷物产量。雨棚处理可以使鹰嘴豆基因型早熟,从而尽早完成生命周期,避免严重缺水,但是由于早熟,基因型的产量受到很大影响。基于耐旱指数的主成分分析(PCA)将这些性状转化为主成分(PC),其中PC 1和PC 2贡献了84.62%的累积变异性。因此,这些组件用于制作双线图。 Biplot将基因型分为四个不同的组。在正常和压力条件下具有优异性能的基因型的第1组包括CM 1403/08,CM 1909/08,CM 516/06,D 096-11,CH 51/07,CH 54/07和TGDX 203选择第1组的基因型作为亲本以发展高产基因型,因为这些基因型在不同的水分状况下显示出最高的产量。其他三组的重要性最低,因为它们的耐受水平和潜在产量均低于第一组。

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