PDF(Pubmed)
Abstract：
UNASSIGNED: Soil salinity affects the growth of crop plants, leading to reduced productivity, and is a major challenge for wheat production worldwide. Various adaptations and mitigation approaches in combination with tolerant wheat genotypes can be useful for the sustainability of crop production in saline environments. However, the development of salt-tolerant wheat genotypes is one of the best and most efficient solutions for obtaining desirable yields. Considering these issues, an investigation was carried out under hydroponic nutrient culture conditions to assess the genetic variability and selection of salt-tolerant wheat genotypes by categorizing inequitable morphophysiological and genetic variability as well as multivariate analysis.
UNASSIGNED: To meet the objectives of this study, 100 wheat genotypes were tested hydroponically in 0 (control) and 15 dS m-1 salt solutions.
UNASSIGNED: For all the wheat genotypes grown under saline conditions, the shoot length (SL), root length (RL), shoot fresh weight (SFW), root fresh weight (RFW), total fresh weight (TFW), shoot dry weight (SDW), root dry weight (RDW), and total dry weight (TDW) decreased significantly. Furthermore, significant variation was observed among the genotypes in terms of their characteristics only under saline conditions. In the case of genetic diversity analysis, a high genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), genetic advance in the percentage of the mean (GAM) and high heritability (h2b) were recorded for all tested wheat genotypes based on the SDW, RDW and TDW. Correlation analysis for both genotypic and phenotypic relationships revealed strong positive correlations for TDW, SDW, TFW and SFW. Principal component analysis (PCA) revealed that TDW, TFW, SDW, and SFW were the most discriminative variables for the wheat genotypes, which was confirmed by discriminant function analysis (DFA). PCA-biplot analysis also revealed significant positive correlations between SDW and SFW and between TDW and TFW. Hierarchical cluster analysis was performed for ten clusters based on the relative performance of the genotypes, where the genotypes were characterized into salt-tolerant, medium-salt-tolerant, medium-salt-susceptible and salt-susceptible groups. Among the genotypes, G11, G25 and G29 under cluster VII were categorized as salt tolerant based on their outstanding performance in terms of characteristics only under saline conditions. D2 analysis proved that the wheat genotypes of this cluster were highly divergent from the other cluster genotypes; as a result, these genotypes might be utilized as parents in the development of salt-tolerant wheat genotypes. The current study concluded that SDW and TDW could be employed as criteria for selecting and defining salt-tolerant genotypes during the early growth stage of wheat.
UNASSIGNED: To meet the objectives of this study, 100 wheat genotypes were tested hydroponically in 0 (control) and 15 dS m-1 salt solutions.
UNASSIGNED: For all the wheat genotypes grown under saline conditions, the shoot length (SL), root length (RL), shoot fresh weight (SFW), root fresh weight (RFW), total fresh weight (TFW), shoot dry weight (SDW), root dry weight (RDW), and total dry weight (TDW) decreased significantly. Furthermore, significant variation was observed among the genotypes in terms of their characteristics only under saline conditions. In the case of genetic diversity analysis, a high genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), genetic advance in the percentage of the mean (GAM) and high heritability (h2b) were recorded for all tested wheat genotypes based on the SDW, RDW and TDW. Correlation analysis for both genotypic and phenotypic relationships revealed strong positive correlations for TDW, SDW, TFW and SFW. Principal component analysis (PCA) revealed that TDW, TFW, SDW, and SFW were the most discriminative variables for the wheat genotypes, which was confirmed by discriminant function analysis (DFA). PCA-biplot analysis also revealed significant positive correlations between SDW and SFW and between TDW and TFW. Hierarchical cluster analysis was performed for ten clusters based on the relative performance of the genotypes, where the genotypes were characterized into salt-tolerant, medium-salt-tolerant, medium-salt-susceptible and salt-susceptible groups. Among the genotypes, G11, G25 and G29 under cluster VII were categorized as salt tolerant based on their outstanding performance in terms of characteristics only under saline conditions. D2 analysis proved that the wheat genotypes of this cluster were highly divergent from the other cluster genotypes; as a result, these genotypes might be utilized as parents in the development of salt-tolerant wheat genotypes. The current study concluded that SDW and TDW could be employed as criteria for selecting and defining salt-tolerant genotypes during the early growth stage of wheat.
摘要：
■土壤盐分影响作物的生长，导致生产力下降，是全球小麦生产面临的重大挑战。与耐性小麦基因型相结合的各种适应和缓解方法可用于在盐碱环境中实现作物生产的可持续性。然而,耐盐小麦基因型的开发是获得理想产量的最佳和最有效的解决方案之一。考虑到这些问题,在水培营养培养条件下进行了一项调查，通过对不公平的形态生理学和遗传变异以及多变量分析进行分类，以评估耐盐小麦基因型的遗传变异性和选择。
■为了实现本研究的目标，在0（对照）和15dSm-1盐溶液中对100种小麦基因型进行了水培测试。
■对于在盐水条件下生长的所有小麦基因型，射击长度（SL），根长度(RL),射击鲜重（SFW），根鲜重（RFW），总鲜重（TFW），枝条干重（SDW），根干重(RDW)，总干重(TDW)显著下降。此外，仅在盐水条件下，基因型之间的特征才观察到显着差异。在遗传多样性分析的情况下，高基因型变异系数(GCV)，表型变异系数(PCV)，基于SDW，记录了所有测试小麦基因型的平均百分比（GAM）和高遗传力（h2b）的遗传进展，RDW和TDW。基因型和表型关系的相关分析显示，TDW具有很强的正相关，SDW,TFW和SFW。主成分分析(PCA)揭示了TDW，TFW,SDW,和SFW是小麦基因型最具判别性的变量，判别函数分析(DFA)证实了这一点。PCA双plot分析还显示SDW与SFW之间以及TDW与TFW之间存在显着正相关。根据基因型的相对表现，对十个簇进行了层次聚类分析，基因型被表征为耐盐，中等耐盐，中盐敏感和盐敏感组。在基因型中，第VII组下的G11、G25和G29基于它们仅在盐水条件下在特性方面的出色表现而被归类为耐盐。D2分析证明，该簇的小麦基因型与其他簇基因型差异很大；因此，这些基因型可能在耐盐小麦基因型的开发中用作亲本。目前的研究得出结论，在小麦的早期生长阶段，SDW和TDW可以用作选择和定义耐盐基因型的标准。
■为了实现本研究的目标，在0（对照）和15dSm-1盐溶液中对100种小麦基因型进行了水培测试。
■对于在盐水条件下生长的所有小麦基因型，射击长度（SL），根长度(RL),射击鲜重（SFW），根鲜重（RFW），总鲜重（TFW），枝条干重（SDW），根干重(RDW)，总干重(TDW)显著下降。此外，仅在盐水条件下，基因型之间的特征才观察到显着差异。在遗传多样性分析的情况下，高基因型变异系数(GCV)，表型变异系数(PCV)，基于SDW，记录了所有测试小麦基因型的平均百分比（GAM）和高遗传力（h2b）的遗传进展，RDW和TDW。基因型和表型关系的相关分析显示，TDW具有很强的正相关，SDW,TFW和SFW。主成分分析(PCA)揭示了TDW，TFW,SDW,和SFW是小麦基因型最具判别性的变量，判别函数分析(DFA)证实了这一点。PCA双plot分析还显示SDW与SFW之间以及TDW与TFW之间存在显着正相关。根据基因型的相对表现，对十个簇进行了层次聚类分析，基因型被表征为耐盐，中等耐盐，中盐敏感和盐敏感组。在基因型中，第VII组下的G11、G25和G29基于它们仅在盐水条件下在特性方面的出色表现而被归类为耐盐。D2分析证明，该簇的小麦基因型与其他簇基因型差异很大；因此，这些基因型可能在耐盐小麦基因型的开发中用作亲本。目前的研究得出结论，在小麦的早期生长阶段，SDW和TDW可以用作选择和定义耐盐基因型的标准。
