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Journal of Integrative Agriculture  2012, Vol. 12 Issue (1): 82-89    DOI: 10.1016/S1671-2927(00)8515
PHYSIOLOGY & BIOCHEMISTRY · TILLAGE · CULTIVATION Advanced Online Publication | Current Issue | Archive | Adv Search |
Statistical Analysis of Leaf Water Use Efficiency and Physiology Traits of Winter Wheat Under Drought Condition
 WU Xiao-li,  BAO Wei-kai
1.Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, P.R.China
2.Graduate University, Chinese Academy of Sciences, Beijing 100039, P.R.China
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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.

Abstract  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.
Keywords:  leaf water use efficiency      multiple linear regression      path analysis      principal components      simple correlation      stepwise regression      wheat genotype  
Received: 16 November 2010   Accepted:
Fund: 

This work was supported by the Key Technologies R&D Program of China during the 11th Five-Year Plan period (2008BAD98B03).

Corresponding Authors:  Correspondence BAO Wei-kai, Tel: +86-431-85231656, Fax: +86-28-85222753, E-mail: baowk@cib.ac.cn     E-mail:  baowk@cib.ac.cn
About author:  WU Xiao-li, E-mail: wuxiaolicjq@126.com

Cite this article: 

WU Xiao-li, BAO Wei-kai. 2012. Statistical Analysis of Leaf Water Use Efficiency and Physiology Traits of Winter Wheat Under Drought Condition. Journal of Integrative Agriculture, 12(1): 82-89.

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