| 玉米自交系抗旱相关性状的主成分分析与模糊聚类 |
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| 引用本文： | 胡树平,苏治军,于晓芳,陈春梅,高聚林,吕佳雯,王鹏飞,许子清.玉米自交系抗旱相关性状的主成分分析与模糊聚类[J].干旱地区农业研究,2016,34(6):81-88. |
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| 作者姓名： | 胡树平 苏治军 于晓芳 陈春梅 高聚林 吕佳雯 王鹏飞 许子清 |
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| 作者单位： | 1. 内蒙古农业大学,内蒙古呼和浩特,010019;2. 内蒙古种子管理站,内蒙古呼和浩特,010010;3. 包头市农业科学研究所,内蒙古包头市,014013;4. 包头市种子管理站,内蒙古包头市,014010 |
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| 基金项目： | 内蒙古杰出青年基金(2011JQ02)，国家玉米产业技术体系(CARS-02-63)，国家粮食丰产科技工程(2011BAD16B13 |
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| 摘 要： | 采用主成分分析(Principal Components Analysis,PCA)和模糊聚类(Fuzzy Clustering,FC)分析,对51个玉米自交系在正常灌溉和干旱胁迫条件下的主要农艺形状及部分生理指标进行分析并对其抗旱性进行综合评价。主成分分析结果表明,4个综合主成分(2012TMC:丰产性因子-雄穗发育性因子,光合调控性因子,生长发育性因子,繁茂性因子;2012HT:丰产性因子-生长发育性因子,光合调控因子,繁茂性因子,雄穗发育因子)可代表两个地区(2012TMC和2012HT)玉米自交系抗旱性91.05%的原始数据信息量。利用抗旱性度量值进行模糊聚类,可将51个玉米自交系的抗旱性划分为4类,即耐旱、中度耐旱、中度干旱敏感和干旱敏感。其中H201、H21、英64、吉842、早49、吉8415、东46和沈137抗旱性强且稳定性好。利用主成分分析,结合模糊聚类的方法进行玉米自交系的抗旱性综合评价,不仅可以避免单一指标的片面性,而且可以较好地揭示玉米自交系抗旱相关性状与其抗旱性的关系。
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| 关 键 词： | 玉米自交系 农艺性状 生理指标 抗旱性 主成分分析 模糊聚类 |
Principal component analysis and fuzzy clustering on drought tolerance related traits of maize inbred lines |
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| HU Shu-ping,SU Zhi-jun,YU Xiao-fang,CHEN Chun-mei,GAO Ju-lin,LV Jia-wen,WANG Peng-fei,XU Zi-qing.Principal component analysis and fuzzy clustering on drought tolerance related traits of maize inbred lines[J].Agricultural Research in the Arid Areas,2016,34(6):81-88. |
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| Authors: | HU Shu-ping SU Zhi-jun YU Xiao-fang CHEN Chun-mei GAO Ju-lin LV Jia-wen WANG Peng-fei XU Zi-qing |
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| Institution: | College of Agriculture, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010019, China,College of Agriculture, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010019, China,College of Agriculture, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010019, China,Seed Administration Station of Inner Mongolia, Hohhot, Inner Mongolia 010010, China,College of Agriculture, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010019, China,Agriculture Scientific Research Institute of Baotou, Baotou, Inner Mongolia 014013, China,College of Agriculture, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010019, China and Seed Administration Station of Baotou, Baotou, Inner Mongolia 014010, China |
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| Abstract: | The purpose of this paper is to explore the methods of drought tolerance evaluation and to make overall evaluation on the relationship between some agronomic traits as well as physiological indicators,such as photosynthesis,and the drought tolerance of maize inbred lines cultivars.Principal Component Analysis(PCA) and Fuzzy Clustering(FC) are used in the paper aimed at assessing the drought tolerance of 51 maize inbred lines cultivars based on some related performance under the conditions of normal irrigation and drought stress.The result of PCA shows that 4 principal components can represent 91.05 ％ (the average between 2012TMC and 2012HT) information of the raw data of the traits related to drought tolerance of maize inbred lines.According to FC,the drought tolerance of those 51 maize inbred lines cultivars can be divided into 4 parts,drought tolerance,moderate drought,moderate drought sensitive and drought sensitive.Which could reflect the drought characteristics of the origins and planting areas of those cultivars.Among those cultivars,the drought tolerance of K201 、H21 and Ying 64 are better.Based on the above contents,it comes to a conclusion that it is an effective way to comprehensively evaluate the drought tolerance of foxtail millet by Principal Component Analysis together with Fuzzy Clustering,which not only can avoid the bias and the instability of single factor analysis,but also better reflect the relationship between different drought tolerance related traits and drought tolerance in maize inbred lines. |
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| Keywords: | maize inbred lines agronomic trait physiological indexes drought tolerance principal component analysis fuzzy clustering |
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