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李恒, 唐平, 刀丽平, 张春花, 沈杰. 攀枝花9个核桃优良单株主要经济性状的主成分分析及良种筛选[J]. 四川林业科技, 2015, 36(4): 33-36. DOI: 10.16779/j.cnki.1003-5508.2015.04.005
引用本文: 李恒, 唐平, 刀丽平, 张春花, 沈杰. 攀枝花9个核桃优良单株主要经济性状的主成分分析及良种筛选[J]. 四川林业科技, 2015, 36(4): 33-36. DOI: 10.16779/j.cnki.1003-5508.2015.04.005
LI Heng, TANG Ping, DAO Li-ping, ZHANG Chun-hua, SHEN Jie. Principal Component Analysis of the Main Economic Traits of Fine Individuals of Nine Walnut Varieties in Panzhihua and their High-quality Seed Screening[J]. Journal of Sichuan Forestry Science and Technology, 2015, 36(4): 33-36. DOI: 10.16779/j.cnki.1003-5508.2015.04.005
Citation: LI Heng, TANG Ping, DAO Li-ping, ZHANG Chun-hua, SHEN Jie. Principal Component Analysis of the Main Economic Traits of Fine Individuals of Nine Walnut Varieties in Panzhihua and their High-quality Seed Screening[J]. Journal of Sichuan Forestry Science and Technology, 2015, 36(4): 33-36. DOI: 10.16779/j.cnki.1003-5508.2015.04.005

攀枝花9个核桃优良单株主要经济性状的主成分分析及良种筛选

Principal Component Analysis of the Main Economic Traits of Fine Individuals of Nine Walnut Varieties in Panzhihua and their High-quality Seed Screening

  • 摘要: 运用主成分分析法,由样本相关矩阵出发,对9个核桃优良单株的8个主要经性状(三径平均、坚果重、壳厚、种仁重、出仁率、粗脂肪、蛋白质、单位面积核桃树冠投影产仁量)进行分析,以性状的累计方差贡献率达到82.751%为标准,确定了两个反映攀枝花市核桃主要经济性状的主成分及其函数式,并通过计算样本的重要主成分值和对供试样本进行坚果性状比较,最终选择出综合经济性状优良的样本。

     

    Abstract: Using the method of principal component analysis, starting from the sample correlation matrix, analysis was made of 8 main characters (by three-diameter average size, shell thickness, nut weight, kernel weight,kernel rate,crude fat,protein,per unit area yield of walnut kernel weight crown projection) of fine individuals of 9 walnut varieties. Taking the cumulative variance contribution rate of the characters reaching 82.751% as the standard,the main composition and function of two main economic traits were determined,able to display the main characters of walnuts in Panzhihua city. By the nut character comparison of samples,the excellent samples with comprehensive economic characters were finally selected.

     

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