| 张云,侯献飞,宋贤明,赵倩,于月华,李强,贾东海,苗昊翠,顾元国.236份红花种质资源抗旱性鉴定及综合评价[J].干旱地区农业研究,2025,(3):11~21 |
| 236份红花种质资源抗旱性鉴定及综合评价 |
| Identification and comprehensive assessment of drought resistance in 236 safflower germplasm resources |
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| DOI：10.7606/j.issn.1000-7601.2025.03.02 |
| 中文关键词: 红花 抗旱性 抗旱指标 综合评价 |
| 英文关键词:safflower drought tolerance drought tolerance indicator comprehensive evaluation |
| 基金项目:新疆维吾尔自治区重大科技专项（2022A03004-4） |
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| 中文摘要: |
| 为筛选红花抗旱性种质资源，确定红花抗旱性鉴定指标和评价方法提供依据，以236份红花种质资源为研究对象，设置正常灌水组（CK）、干旱处理组：全生育期不灌水处理（T1）、于初花期灌水一次处理（T2）。通过测定红花株高、单株产量和籽粒含油率，对其进行抗旱性鉴定、抗旱指标筛选及抗旱性综合评价。结果表明：供试材料间变异系数介于0.158~1.617；抗旱系数的变异系数介于0.118~1.071，抗旱指数的变异系数介于0.131~1.104，通过综合抗旱指数排序，初步将供试材料的抗旱性分为5个等级。定量关系分析表明，干旱胁迫处理1组拟合精度较高（R2=0.9078），而干旱胁迫处理2组的拟合精度较低（R2=0.6235）。灰色关联分析、主成分和隶属函数分析表明，干旱处理2组的R2平均变异较处理1组的R2提高0.2843。此外，根据抗旱综合评价值进行聚类分析，可将抗旱性划分为五类：分别为强抗旱、抗旱、中抗旱、较敏感性和敏感性抗旱类型，其中强抗旱材料包括‘23A020’、‘23A042’、‘23B035’和‘23H005’等。通过逐步回归分析方程建立综合评价数学模型，干旱处理1组（R2=0.196）和处理2组（R2=0.195）入选的综合抗旱指标均为株高、株高抗旱指数和产量抗旱指数。研究结果可为红花抗旱种质资源筛选、品种选育及适宜区域推广应用提供理论基础。 |
| 英文摘要: |
| This study establishes a foundation for screening drought\|resistant safflower germplasm resources and defining the identification criteria and evaluation methods for safflower drought resistance. A total of 236 safflower germplasm resources were studied, and normal irrigation (CK) and drought treatment groups were set up: no irrigation during the whole reproductive period (T1), and one irrigation at the first flowering stage (T2). Safflower plant height, yield per plant and oil content of seeds were measured, and drought resistance was identified, screened and comprehensively evaluated. The results showed that the coefficients of variation among the test materials ranged from 0.158 to 1.617, the coefficients of variation of drought resitance coefficient values ranged from 0.118 to 1.071, and the coefficients of variation of drought resistance index values ranged from 0.131 to 1.104. The drought resistance of the test materials was initially categorized into three grades by the comprehensive drought resistance index ranking. The quantitative relationship analysis showed that the fitting accuracy (R2=0.9078) was higher in treatment 1 group, while the fitting accuracy (R2=0.6235) was lower in treatment 2 group. Gray correlation analysis, principal component and affiliation function analysis showed that the mean variance of R2 for treatment 2 group was 0.2843 higher than that of treatment 1 group. Cluster analysis based on the drought resistance comprehensive evaluation values resulted in five categories: strong drought resistant, drought resistant, moderately drought resistant, relatively sensitive and sensitive drought resistant materials. Strong drought resistant materials include ‘23A020’, ‘23A042’, ‘23B035’, and ‘23H005’, etc. A comprehensive evaluation mathematical model was established by stepwise regression analysis equation, and the comprehensive drought tolerance indexes selected for treatment 1 group (R2=0.196) and treatment 2 group (R2=0.195) were plant height, plant height drought tolerance index and yield drought tolerance index. This study provides a theoretical base for screening drought\|resistant safflower germplasm resources, selecting and breeding late\|maturing varieties, and promoting their application in suitable regions. |
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