Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2015, Vol. 31 ›› Issue (12): 152-156.doi: 10.11924/j.issn.1000-6850.casb14100089

Special Issue: 油料作物

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Principal Component Analysis and Cluster Analysis of Main Agronomic Traits of Oil-sunflower Varieties

Zhu Dongxu, Guan Zhongbo, Xu Guizhen, Xu Jing, Guo Yuanzhang   

  1. (Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang 050035)
  • Received:2014-10-22 Revised:2014-11-13 Accepted:2014-11-18 Online:2015-05-06 Published:2015-05-06

Abstract: The main goal of oil-sunflower breeding is high yield. In order to investigate the relationship between agronomic traits and yield,variance analysis, correlation analysis, principal component analysis and cluster analysis were conducted on 9 agronomic traits of 11 domestic and foreign oil-sunflower varieties. Variance analysis results indicated that the variation coefficient of 11 varieties was between 2.9%-29.1%. The variation coefficient of plot yield, grain mass per sunflower plate and blades were higher than other agronomic traits, which were 29.1%, 16.5% and 13.9%, respectively. The variation coefficient of growth period was lowest with 2.9%. Correlation analysis results indicated that, plant height and disc diameter were significantly positively correlated with plot yield. Principal component analysis results indicated that the cumulative contribution of the first three principal factors was 86.9825%. The results of cluster analysis showed that, 11 varieties were divided into three groups. Group Ⅰ was high-yielding group, group Ⅱ was middle-yielding group and group Ⅲ was low-yielding group. There was significant difference of yield in three groups, so a comprehensive consideration should be taken according to the breeding objective.