普通油茶优良单株产量与主要性状的主成分分析

应用主成分分析法，由样本相关矩阵出发，对11个油茶品系单株的10个主要性状（树高、冠幅、分枝级数、果形指数、单果重、出籽率、花蕾直径、雄蕊数、雌蕊长度、产量）进行分析，以性状的累积方差贡献率达到86．52％确定了4个反映油茶主要经济性状的主成分，并通过计算品系的重要主成分值，对供试品系进行比较，进而选择综合经济性状优良的品系。表明用主成分分析法对油茶主要经济性状综合评选，比采用优良性状打分评优法科学、简便；应用主成分分析对油茶品种的选择比传统的人为打分更具有准确性和科学性，为以后油茶优良品种的选择提供了理论依据。

Principal component analysis with yield and main characters for plus trees of Camellia oleifera

Based on specimen correlation matrix,the 10 main characters(tree height,crown width,branch grades,fruit shape index,single fruit weight,rate of seed,diameter of flower bud,quantity of stamen,the length of pistil,yield) of 11 varieties of Camellia oliefera were determined by principal component analysis.According to the cumulative variance contribution which reached 86.52%,four principal components which reflected the main economic characters were determined,and fine varieties were selected with the comparis...