Wang Yan, Huang Qian, Liu Li, Li Hang, Wang Xuwen, Si Aijun, Yu Yu
The Key Laboratory of Oasis Eco-Agriculture, Agriculture College, Shihezi University, Shihezi 832003, China.
Cotton Research Institute, Xinjiang Academy of Agricultural and Reclamation Science/Northwest Inland Region Key Laboratory of Cotton Biology and Genetic Breeding, Shihezi 832000, China.
Plants (Basel). 2025 Jul 15;14(14):2191. doi: 10.3390/plants14142191.
Drought stress has a significant impact on cotton growth, development, and productivity. This study conducted drought stress treatment and normal water treatment (control group) on 502 cotton accessions and analyzed data on eight phenotypic traits closely related to drought stress tolerance. The results showed that all indicators changed significantly under drought stress conditions compared to the control group, with varying degrees of response among different indicators. To comprehensively evaluate the drought resistance of cotton during the germination period, the values of drought resistance comprehensive evaluation (D-value), weight drought resistance coefficient (WDC-value), and comprehensive drought resistance coefficient (CDC-value) were calculated based on membership function analysis and principal component analysis. Cluster analysis based on the D-value divided the germplasm into five drought-resistant grades, followed by the selection of one extreme material, each from the strongly drought-resistant and strongly drought-sensitive groups. An evaluation model was established using stepwise regression analysis, including the following effective indicators: Relative Fresh Weight (RFW), Relative Hypocotyl Length (RHL), Relative Seeds Water Absorption Rate (RAR), Relative Germination Rate (RGR), Relative Germination Potential (RGP), and Relative Drought Tolerance Index (RDT). The validation of the D-value prediction model based on the Best Linear Unbiased Prediction (BLUP) showed that the results obtained from two independent biological replicates were highly consistent. The comprehensive evaluation system and screening indicators established in this study provide a reliable method for identifying drought tolerance during the germination period.
干旱胁迫对棉花的生长、发育和生产力有显著影响。本研究对502份棉花种质进行了干旱胁迫处理和正常水分处理（对照组），并分析了与耐旱性密切相关的8个表型性状的数据。结果表明，与对照组相比，干旱胁迫条件下所有指标均发生显著变化，不同指标的响应程度不同。为了综合评价棉花萌发期的抗旱性，基于隶属函数分析和主成分分析计算了抗旱性综合评价（D值）、重量抗旱系数（WDC值）和综合抗旱系数（CDC值）。基于D值的聚类分析将种质分为5个抗旱等级，随后从强抗旱组和强干旱敏感组中各选择一个极端材料。利用逐步回归分析建立了评价模型，包括以下有效指标：相对鲜重（RFW）、相对下胚轴长度（RHL）、相对种子吸水率（RAR）、相对发芽率（RGR）、相对发芽势（RGP）和相对耐旱指数（RDT）。基于最佳线性无偏预测（BLUP）的D值预测模型验证表明，两个独立生物学重复得到的结果高度一致。本研究建立的综合评价体系和筛选指标为鉴定棉花萌发期的耐旱性提供了可靠方法。
