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

doi:10.1016/S1671-2927(00)8515

Journal of Integrative Agriculture ›› 2012, Vol. 12 ›› Issue (1): 82-89.DOI: 10.1016/S1671-2927(00)8515

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

收稿日期:2010-11-16 出版日期:2012-01-01 发布日期:2012-01-13
通讯作者: Correspondence BAO Wei-kai, Tel: +86-431-85231656, Fax: +86-28-85222753, E-mail: baowk@cib.ac.cn
作者简介:WU Xiao-li, E-mail: wuxiaolicjq@126.com
基金资助:
This work was supported by the Key Technologies R&D Program of China during the 11th Five-Year Plan period (2008BAD98B03).

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

Received:2010-11-16 Online:2012-01-01 Published:2012-01-13
Contact: Correspondence BAO Wei-kai, Tel: +86-431-85231656, Fax: +86-28-85222753, E-mail: baowk@cib.ac.cn
About author:WU Xiao-li, E-mail: wuxiaolicjq@126.com
Supported by:
This work was supported by the Key Technologies R&D Program of China during the 11th Five-Year Plan period (2008BAD98B03).

摘要/Abstract

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.

关键词: leaf water use efficiency, multiple linear regression, path analysis, principal components, simple correlation, stepwise regression, wheat genotype

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.

Key words: leaf water use efficiency, multiple linear regression, path analysis, principal components, simple correlation, stepwise regression, wheat genotype

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

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

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

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