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谷子抗旱相关性状的主成分与模糊聚类分析
引用本文:孟庆立,关周博,冯佰利,柴岩,胡银岗.谷子抗旱相关性状的主成分与模糊聚类分析[J].中国农业科学,2009,42(8).
作者姓名:孟庆立  关周博  冯佰利  柴岩  胡银岗
作者单位:1. 西北农林科技大学农学院,陕西,杨凌,712100
2. 西北农林科技大学农学院,陕西,杨凌,712100;陕西省农业分子生物学重点实验室,陕西,杨凌,712100
基金项目:国家高技术研究发展计划(863计划),国家重点基础研究发展规划(973计划),西北农林科技大学科研专项目,澳大利亚ACIAR项目,高等学校学科创新引智计划项目 
摘    要: 【目的】探讨作物抗旱性分析评判的方法,对谷子主要农艺性状和部分生理指标与抗旱性之间的关系进行综合评价。【方法】采用主成分分析(Principal Components Analysis,PCA)和模糊聚类(Fuzzy Clustering, FC)分析,根据16个谷子品种在干旱胁迫和自然降水条件下的抗旱相关性状对其抗旱性进行综合评价。【结果】主成分分析结果表明,6个综合主成分可代表谷子抗旱性90.71%的原始数据信息量。利用抗旱性度量值进行模糊聚类,可将16个谷子品种的抗旱性划分为3类,聚类结果可以较好地反映这些谷子品种的选育和种植区域的干旱特点,其中冀谷18和豫谷1号抗旱性强且稳定性好。【结论】利用主成分分析,结合模糊聚类的方法进行谷子的抗旱性综合评价,不仅可以避免单一指标的片面性和不稳定性,而且可以较好地揭示谷子抗旱相关性状与其抗旱性的关系。

关 键 词:谷子  抗旱性  主成分分析  模糊聚类  综合评价
收稿时间:2008-10-22;

Principal Component Analysis and Fuzzy Clustering on Drought-Tolerance Related Traits of Foxtail Millet(Setaria italica)
MENG Qing-li,GUAN Zhou-bo,FENG Bai-li,CHAI Yan,HU Yin-gang.Principal Component Analysis and Fuzzy Clustering on Drought-Tolerance Related Traits of Foxtail Millet(Setaria italica)[J].Scientia Agricultura Sinica,2009,42(8).
Authors:MENG Qing-li  GUAN Zhou-bo  FENG Bai-li  CHAI Yan  HU Yin-gang
Institution:(College of Agronomy, Northwest Agricultural and Forestry University, Key Laboratory of Agro-molecular Biology of Shaanxi Province)
Abstract:【Objective】 The main purpose of this paper was to explore the methods of drought tolerance evaluation, and to evaluate the relationships between some agronomic traits and physiological indicators with drought-tolerance in foxtail millet (Setaria italica). 【Method】 Principal Component Analysis (PCA) and Fuzzy Clustering (FC) were used to evaluate the drought tolerance of 16 foxtail millet cultivars based on their performance under the conditions of rainfed and water limited cultivation under rainout shelter. 【Result】 The result of Principal Component Analysis indicated that 6 principal components could present 90.71% information of the raw data of the traits related to drought tolerance of foxtail millet. The 16 cultivars used in this study could be divided into 3 clusters by Fuzzy Clustering based on their Drought-tolerance Value (DV), which could reflect the drought characteristics of the origins and planting areas of those cultivars. Among those cultivars,the drought tolerance of Jigu18 and Yugu1 were better and more stable. 【Concussion】 It is an effective way to comprehensively evaluate the drought tolerance of foxtail millet by Principal Component Analysis and Fuzzy Clustering,which not only could avoid the bias and the instability of single factor analysis, but also reflect the relationship between different drought tolerance related traits and drought tolerance in foxtail millet better.
Keywords:foxtail millet  drought tolerance  principal component analysis  fuzzy clustering  comprehensive evaluation
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