Principal component analysis and fuzzy clustering on drought tolerance related traits of maize inbred lines
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DOI:10.7606/j.issn.1000-7601.2016.06.13
Key Words: maize inbred lines  agronomic trait  physiological indexes  drought tolerance  principal component analysis  fuzzy clustering
Author NameAffiliation
HU Shu-ping College of Agriculture, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010019, China 
SU Zhi-jun College of Agriculture, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010019, China 
YU Xiao-fang College of Agriculture, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010019, China 
CHEN Chun-mei Seed Administration Station of Inner Mongolia, Hohhot, Inner Mongolia 010010, China 
GAO Ju-lin College of Agriculture, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010019, China 
LV Jia-wen Agriculture Scientific Research Institute of Baotou, Baotou, Inner Mongolia 014013, China 
WANG Peng-fei College of Agriculture, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010019, China 
XU Zi-qing 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 H201、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.