通径分析在冬小麦受渍胁迫诊断指标敏感性分析中的应用

Application of Path Analysis in Sensitivity Analysis on Stress Indicator from Subsurface Water Logging of Winter Wheat

根据冬小麦测坑试验结果,采用相关分析和通径分析的方法,计算了以叶片光合速率Pn、气孔导度Cond、蒸腾速率Tr、叶面温度T1、光合有效辐射PAR和地下水位累积水深SEW50 6种排水决策指标为自变量对作物阶段干物质产量的通径系数、相关系数、决定系数和对回归方程估测可靠程度R2的总贡献,建立了作物受渍胁迫诊断指标对干物质产量的回归方程.结果表明,影响干物质产量最大的是叶片光合速率,其次是地下水累计水深和叶片温度,决定系数分析结果与通径分析结果有一致的变化趋势.通过自变量指标的减少对结果的影响分析发现,在追求受渍胁迫下冬小麦干物质生产最优目标时,排水决策指标要注意叶片光合速率、地下水累计水深和叶片温度的变化.

Based on the data of winter wheat by test-pit experiment,six kinds of drainage decision-making indicators were explored with correlation analysis and path analysis methods,such as leaf rate of photosynthesis（Pn）,stomata conductance（Cond）,transpiration rate（Tr）,leaf temperature（Tl）,photosynthesis available radiation（PAR）and cumulative depth of groundwater level（SEW50）.The coefficient of determination and the overall contribution of R2 the reliability of the regression equation of the independent variables on the crop dry weight were calculated.The regression equation between diagnosis indicators the crop under water-logging from subsurface and dry matter yield was established.The results indicated that the most sensitive indicator affecting dry matter yield was leaf rate of photosynthesis（Pn）,the next two indicators were SEW50 and leaf temperature,the results of the determination coefficient analysis and path analysis had a consistent trend.Analysis of impact result with independent variables decrease indicated that the attention must be paid to leaf rate of photosynthesis,SEW50 and leaf temperature in decision-making if dry biomass of winter wheat under water-logging from subsurface as the objectives for optimization.