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Position: Home > Articles > Statistical Analysis of Leaf Water Use Efficiency and Physiology Traits of Winter Wheat Under Drought Condition Journal of Integrative Agriculture 2012,11 (1)

Statistical Analysis of Leaf Water Use Efficiency and Physiology Traits of Winter Wheat Under Drought Condition

作  者：
Wu Xiao-li;Bao Wei-kai
单  位：
Chinese Acad Sci, Chengdu Inst Biol, Chengdu 610041, Peoples R China;Chinese Acad Sci, Grad Univ, Beijing 100039, Peoples R China
关键词：
leaf water use efficiency;multiple linear regression;path analysis;principal components;simple correlation;stepwise regression;wheat genotype
摘  要：
Five statistical methods including simple correlation, multiple linear regression, stepwise regression, principal components, and path analysis were used to explore the relationship between leaf water use efficiency (WUE) and physiological traits (photosynthesis rate, stomatal conductance, transpiration rate, intercellular CO2 concentration, etc.) of 29 wheat cultivars. The results showed that photosynthesis rate, stomatal conductance, and transpiration rate were the most important leaf WUE parameters under drought condition. Based on the results of statistical analyses, principal component analysis could be the most suitable method to ascertain the relationship between leaf WUE and relative physiological traits. It is reasonable to assume that high leaf WUE wheat could be obtained by selecting breeding materials with high photosynthesis rate, low transpiration rate, and stomatal conductance under dry area.

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