| 不同品种春小麦耐旱性分析及鉴定指标筛选 |
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| 引用本文： | 时佳,王重,高新,张宏芝,王立红,王春生,夏建强,李剑峰,樊哲儒,张跃强.不同品种春小麦耐旱性分析及鉴定指标筛选[J].干旱地区农业研究,2023(6):8-16. |
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| 作者姓名： | 时佳 王重 高新 张宏芝 王立红 王春生 夏建强 李剑峰 樊哲儒 张跃强 |
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| 作者单位： | 新疆农业科学院核技术生物技术研究所/农业农村部荒漠绿洲作物生理生态与耕作重点实验室/新疆作物化学调控工程技术研究中心，新疆 乌鲁木齐 830091 |
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| 基金项目： | 新疆维吾尔自治区天山青年计划-杰出青年科技人才培养项目（2020Q009）；农业农村部荒漠绿洲作物生理生态与耕作重点实验室开放课题（25107020-201902） |
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| 摘 要： | 为鉴定新疆不同品种春小麦的耐旱性，筛选耐旱关键性指标并建立可靠的耐旱性数学评价模型，以16个新疆主栽春小麦品种为研究材料，在干旱胁迫和充分灌溉两个条件下，测定全生育期15个相关指标，利用隶属函数、聚类分析和主成分分析等方法对新疆春小麦耐旱性进行综合评价。结果表明：与充分灌溉处理相比，干旱胁迫下灌浆初期叶绿素含量（SPAD1）和灌浆中期冠层温度（CT）显著升高，其他指标不同程度降低。联合方差分析表明，水分和品种对春小麦的各项生理指标、农艺性状和产量性状等单项指标有不同程度的影响。通过主成分分析，以特征值大于1为标准得到6个主成分，可反映原耐旱指标信息的82.292%；通过隶属函数分析，得到不同品种小麦耐旱性综合评价值（D值）。根据综合得分进行聚类分析，将16个品种聚类为4种耐旱类型，其中强耐旱型3个、中耐旱型10个、弱耐旱型2个、旱敏感型1个。通过逐步回归分析法建立SPAD1、成熟期干物质量（DM3）、千粒重（TKW）的回归方程D=-2.258+1.299DM3+1.148SPAD3+0.475TKW，方程决定系数R2=0.962，P=0.0001，表明DM3、SPAD3和TKW可作为耐旱性的主要鉴定指标，利用回归方程可以进行春小麦品种耐旱性的快速鉴定和预测。
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| 关 键 词： | 春小麦 耐旱性 主成分分析 综合评价 逐步回归 |
Drought tolerance analysis and identification index screening of different spring wheat varieties |
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| SHI Ji,WANG Zhong,GAO Xin,ZHANG Hongzhi,WANG Lihong,WANG Chunsheng,XIA Jianqiang,LI Jianfeng,FAN Zheru,ZHANG Yueqiang.Drought tolerance analysis and identification index screening of different spring wheat varieties[J].Agricultural Research in the Arid Areas,2023(6):8-16. |
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| Authors: | SHI Ji WANG Zhong GAO Xin ZHANG Hongzhi WANG Lihong WANG Chunsheng XIA Jianqiang LI Jianfeng FAN Zheru ZHANG Yueqiang |
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| Institution: | Institute of Nuclear Technology and Biotechnology, Xinjiang Academy of Agricultural Sciences/Xinjiang Crop Biotechnology Key Laboratory/Key Laboratory of Desert Oasis Crop Physiology,Ecology and Cultivation, Ministry of Agriculture, Urumqi, Xinjiang 830091, China |
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| Abstract: | This study aimed to identify the drought tolerance materials of spring wheat in Xinjiang. The key indicators of drought tolerance were screened and a reliable mathematical evaluation model of drought tolerance was established, which laid a foundation for the selection and breeding of new drought\|tolerant varieties of wheat. In this study, 16 Xinjiang spring wheat varieties were used as research materials, and two treatments were set for drought stress and adequate irrigation. Fifteen related indexes of the whole growth period were measured. The results showed that SPAD3 and CT increased significantly with drought stress, and other indexes decreased to varying degrees with drought stress. The variance analysis indicated that treatment and variety had different degrees of effects on the physiological indexes, agronomic traits and yield index traits of spring wheat varieties. Through principal component analysis, 6 principal components were obtained based on the characteristic value greater than 1, which reflected 82.292% of the original drought tolerance index information. Through the membership function analysis, the comprehensive evaluation value (D value) of drought tolerance of different varieties of wheat was obtained. Then, according to the comprehensive score, the cluster analysis was carried out, and the 16 varieties were clustered into 4 drought\|tolerant types, including 3 varieties were strong drought\|tolerant type, 10 varieties were moderately drought\|tolerant, 2 varieties were weakly drought\|tolerant, and 1 variety was drought\|sensitive. The regression equation D=-2.258+1.299DM3+1.148SPAD3+0.475TKW was established by stepwise regression analysis, and the coefficient of determination of the equation R2=0.962, P=0.0001, this equation can be used for drought tolerance evaluation, DM3, SPAD3, and TKW can be used as the main identification index of drought tolerance test, and the regression equation is used to quickly identify and predict the drought tolerance of varieties. |
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| Keywords: | spring wheat drought tolerance principal component analysis comprehensive evaluation stepwise regression |
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