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应用聚类分析方法,根据多种数量性状,即根据株高(H)、底径(D)、分枝长(Bl)、枝干距(Hl)和分枝数(Bn),将旱柳×白柳(S. matsudana×S. alba)F_1当年生119株苗本进行数量分类。研究其数量性状遗传变异规律。结果表明:在r为0.1—0.6时可分为9个类群,它们分属于两大类;即多枝型和稀枝型,其相关系数只有—0.92。 柳树(Salix L)雌雄异株,容易杂交,自然界的柳树都是杂合体。用不同种柳树杂交,杂种一代变异极大,对杂种一代真实基因型的分析,便有利于选择出优良基因型的单株。得到大量的F_1变异体,对数量极多的杂种一代只有按照其性状差异程度进行归类才便于比较和鉴别。研究杂种后代变异的传统方法是根据某些不连续的相对性状进行归类。但是柳树的许多重要经济性状都是连续的数量性状,因此,从选择的实际需要出发,按照多种数量性状将F_1变异体进行分类是十分必要的。近十几年来数理统计多元分析方法发展甚为迅速。应用也十分广泛。其中聚类分析(ceusteanalysis)便是进行数量分类的有效方法。我们应用聚类分析方法对柳树F_1变异体进行数量分类,研究其F_1遗传变异规律,为选择提出可靠依据。聚类分析的统计计算是在电子计算机上实现的。
The cluster analysis method was used to analyze the effects of drought on Salix matsudana seedlings based on a number of quantitative traits, ie, plant height (H), bottom diameter (D), branch length (Bl), branch length × White willow (S. matsudana × S. alba) F_1 Current 119 seedlings were quantitatively classified. Study the law of genetic variation of quantitative traits. The results showed that when r is 0.1-0.6, it can be divided into 9 groups, which belong to two major categories; that is, multi-branch type and sparse branch type, the correlation coefficient is only -0.92. Willow (Salix L) Dioecious, easy to cross, the willow in nature are heterozygotes. With different species of willow hybridization, hybrids great variation, the actual generation of the hybrid genotype analysis, will help select the good genotypes of individual plants. A large number of F_1 mutants were obtained, and only a large number of hybrids could be compared and identified according to the degree of their trait differences. The traditional method to study the variation of hybrid offspring is to classify them according to some discontinuous relative traits. However, many of the important economic traits of willow are continuous quantitative traits. Therefore, it is necessary to classify F_1 variants according to their actual needs. In the past ten years, the mathematical statistics multivariate analysis has developed rapidly. The application is also very extensive. Among them, cluster analysis (ceusteanalysis) is an effective method for quantitative classification. We use cluster analysis to classify the willow F_1 variants and study their F_1 genetic variation rules to provide a reliable basis for selection. Statistical analysis of cluster analysis is implemented on electronic computers.