| 核桃主要经济性状的主成分分析及优良品种选择的研究 |
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| 引用本文： | 杨俊霞,郭宝林,张卫红,古芹霞.核桃主要经济性状的主成分分析及优良品种选择的研究[J].河北农业大学学报,2001,24(4):39-42. |
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| 作者姓名： | 杨俊霞 郭宝林 张卫红 古芹霞 |
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| 作者单位： | 河北农业大学林学院,河北保定071000 |
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| 基金项目： | 河北省教育厅资助项目 (982 18) |
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| 摘 要： | 应用主成分分析法，由样本相关矩阵出发，对15个晚熟核桃品系的8个主要经济性状（坚果横径、平均坚果重、坚果壳厚、坚果出仁率、核仁重、核仁脂肪含量、蛋白质含量、每平方米树冠投影面积产果量）进行分析，以性状的累积方差贡献率达到86．29％确定了4个反映核桃主要经济性状的主成分及其主成分的函数式，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，其结果与品系的实际表现型相近似。表明用主成分分析法对核桃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。为核桃优良性状选种提供理论依据。
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| 关 键 词： | 核桃 经济性状 主成分分析 选种 综合评价 |
| 文章编号： | 1000-1573(2001)04-0039-04 |
| 修稿时间： | 2000年9月6日 |
The studies of principal component analysis on the main economic character and superior variety selection of walnut |
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| YANG Jun-xia,GUO Bao-lin,ZHANG Wei-hong,GU Qin-xia.The studies of principal component analysis on the main economic character and superior variety selection of walnut[J].Journal of Agricultural University of Hebei,2001,24(4):39-42. |
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| Authors: | YANG Jun-xia GUO Bao-lin ZHANG Wei-hong GU Qin-xia |
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| Abstract: | Based on specimen correlation matrix, the main eco nomic character of 1 5 last varieties of walnut were determined by pincipal component analysis, which included nut width, average nut weight, nut shell thickness, nut kernel percent age, per kernel weight, total fat content of kernel, total protein content and kernel yield per m2 tree-crown projection area. According to more than 86.29% of the cumulative variance proportion, the results proposed four principal compone nts and its function equations which reflected the main economic characters of walnut. The key principal component values of various varieties were calculated, it will be applied to selecting fine varieties, the results were similar to pra ctical phenotype. The method of principal component analysis was more scientific and simple than the method of quiver a mark of main economic characters while e valuating main economic characters of walnut comprehensively, It will provide a theoretical basis for selecting fine varieties of walnut. |
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| Keywords: | walnut economic character principal component analysis superior variety selection |
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