欢迎访问林业科学,今天是

林业科学 ›› 2006, Vol. 42 ›› Issue (5): 29-35.doi: 10.11707/j.1001-7488.20060506

• 论文及研究报告 • 上一篇    下一篇

苦楝表型性状梯度变异的研究

程诗明1,2 顾万春2   

  1. 1.浙江省林业科学研究院,杭州310023;2.中国林业科学研究院林业研究所北京100091
  • 收稿日期:2004-10-11 修回日期:1900-01-01 出版日期:2006-05-25 发布日期:2006-05-25

Studies on Phenotypical Characteristics Gradient Variation of Melia azedarach

Cheng Shiming1,2,Gu Wanchun2   

  1. 1.Zhejiang Academy of Forestry Hangzhou 310023; 2.Research Institute of Forestry, CAF Beijing 100091
  • Received:2004-10-11 Revised:1900-01-01 Online:2006-05-25 Published:2006-05-25

摘要:

将24个苦楝群体729个家系的5个地理气候因子及与其对应的苦楝18个表型性状因子进行典范相关分析,第一典范变量的特征根为0.9979(0.01水平极显著),占全部特征根的78%;跟进主成分分析将二元坐标降为1维数据轴,即表型性状梯度轴。采用内插法在苦楝自然分布区内按0.2表型性状梯度差值绘出等值线图,揭示出苦楝表型性状东北—西南梯度变异的地理模式。通过通径分析描述各表型性状对表型性状梯度值的直接作用和间接作用,从侧面证实了繁殖器官性状的稳中求变。

关键词: 苦楝, 典型相关分析, 主成分分析, 通径分析, 表型性状梯度值

Abstract:

Based on the 5 geographical-climate factors and 18 phenotypical characteristics data of 729 trees of 24 populations of Melia azedarach in China distribution area, canonical correlation analysis(CCA)was applied for. The eigenvalue of the first canonical variable is 0.997 9 (significantly at 0.01 level), accounting for 78% of all eigenvalue, and then further principle component analysis(PCA) was done, taking the first canonical variable coordinate values as phenotypic character gradient axes, namely PCGA.The isogram of the PCGA was drawn out with 0.2 contours which showed the geographical model of northeast-southwest variation trends of phenotypial characteristics of M. azedarach. Meanwhile the path analysis results showed the direct and indirect effects of phenotypical characteristics on phenotypic character gradient values, which proved the fact that the propagative organs are changing with steady steps.

Key words: Melia azedarach, canonical correlation analysis(CCA), principle component analysis(PCA), path analysis, phenotypical character gradient axes(PCGA)