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通过对预选出的８８４ 份芝麻资源核心收集品农艺性状的进一步鉴定核查和修正之后，采用离差平方和法分组进行系统聚类分析，依据决选核心收集品数量为预选核心品的５０％ 的原则、并考虑组间遗传多样性差异，随机挑选出４５３ 份核心资源，建立了中国芝麻资源核心收集品。对４５３ 份核心收集品代表性分析结果表明：核心资源的株型、花色等１０ 个非数值型性状共３５ 种表现型各占比例与预选核心品基本一致，含油量、千粒重等４ 个数量性状的均值，标准差等６ 个特征值与预选品相近
Through the further identification of 884 pre-selected agronomic traits of sesame resources collected and verified, the system of cluster analysis using the method of dispersion sum of squares was used. According to the selection of the core collection of products for the number of 50% of the preselected core products Principle, taking into account the differences in genetic diversity between groups, 453 core resources were randomly selected and the core collection of Chinese sesame resources was established. Representative analysis of 453 core collections showed that the percentage of 35 phenotypes of 10 non-numerical traits, such as plant type and flower color of core resources, was basically the same as that of the preselected core products, with four quantitative traits including oil content and 1000-grain weight The mean value, standard deviation and other six eigenvalues and preselected similar