中国农业科学2024，Vol.57Issue(7)：1281-1294,14.DOI:10.3864/j.issn.0578-1752.2024.07.006
冬小麦水分利用效率相关驱动因子及其预测模型构建
The Related Driving Factors of Water Use Efficiency and Its Prediction Model Construction in Winter Wheat
摘要
Abstract
[Objective]The water use efficiency can comprehensively reflect the growth suitability and energy conversion efficiency of winter wheat.The driving factors of winter wheat in response to standardized water use efficiency(WP*)at different growth stages were screened and explored,and the WP* prediction model of related driving factors was constructed,which was of great significance for the monitoring of water use efficiency and efficient use of water resources in winter wheat in the Huang-Huai-Hai Plain.[Method]Three water treatments were set up,including water deficit treatments(W1:35 mm,and W2:48 mm)and control treatment(W3:68 mm),and the canopy temperature parameters,physiological indexes and standardized WP* of winter wheat at the jointing,booting and filling stages were measured.Stepwise regression and pathway analysis were used to screen the main driving factors in response to WP* changes at each growth stage,the relationship between WP* and related drivers was explored,and finally the partial least squares regression(PLSR)and support vector machine(SVM)methods were used to construct a driver-based WP* prediction model in each growth stage.[Result]Compared with W3,the canopy temperature parameters,physiological indexes and WP* of winter wheat under the water deficit treatments showed significant differences.Based on the stepwise regression method,the main driving factors in response to WP* at each growth stage were screened,and the sensitivity of each driving factor in response to WP* was ranked by pathway analysis,that is,maximum temperature difference(MTD),stomatal conductance(Gs),leaf water content(LWC)and POD were selected at the jointing stage;canopy relative temperature difference(CRTD),equivalent water thickness(EWT),soluble sugar content(SSC)and crop water stress index(CWSI)were selected at the booting stage;SSC,standard deviation of canopy temperature(CTSD),LWC and Gs were selected at the filling stage.Finally,the driver-based WP* prediction model for each growth stage was construct by using PLSR and SVM.Among them,the prediction model of WP* at booting stage constructed by SVM had the best accuracy,with R2cal(R2val),RMSEcal(RMSEval)and nRMSEcal(nRMSEval)of 0.945(0.926),0.533 g·m-2(0.580 g·m-2)and 2.844%(3.075%),respectively.[Conclusion]By screening the relevant driving factors of WP* at each growth stage of winter wheat and constructing a prediction model of winter wheat water use efficiency,this paper provided a theoretical basis for accurate monitoring and management of winter wheat moisture in the Huang-Huai-Hai Plain.关键词
冬小麦/标准化水分利用效率(WP*)/驱动因子/通径分析/支持向量机Key words
winter wheat/standardized water use efficiency(WP*)/driving factor/pathway analysis/support vector machine引用本文复制引用
高晨凯,王同朝,温鹏飞,刘水苗,李煜铭,赵志恒,邵京,于昊琳,吴鹏年,王艳丽,关小康..冬小麦水分利用效率相关驱动因子及其预测模型构建[J].中国农业科学,2024,57(7):1281-1294,14.基金项目
国家重点研发计划(2021YFD1700900)、河南省高等学校重点科研项目计划(23A210017)、河南省重点研发与推广专项(科技攻关)(232102110298) （2021YFD1700900）
