【摘要】 利用SPSS 24.0软件对333份芝麻种质资源的8个数量性状和8个质量性状进行了相关性分析、主成分分析和聚类分析。结果显示,单株蒴果数与分枝数、株高、主茎果轴长度呈正相关,与始分枝高度呈负相关,与每叶腋花数、株型、叶色、蜜腺有相关性。主成分分析表明,主要信息集中在前4个主成分中,累计贡献率为78.43%。利用聚类分析把芝麻种质资源分为5个类群,其中,第Ⅱ类群材料属于分枝、矮秆、节间短、高产型;第Ⅲ类群可作为特异性材料加以利用;第Ⅴ类群属于一叶一果的类型。更多还原

【Abstract】 To efficiently use sesame germplasm resources,this study analyzed the correlation, principal component and cluster of 8 quantitative traits and 8 quality traits of 333 sesame germplasm resources by SPSS 24.0 software. The results showed that the number of capsules per plant had a very significant correlation with the number of branches, plant height and the length of the main stem, while had negatively correlated with branching height. Besides, it had a relationship with leaf number, plant type, leaf color and nectary. The principal components of 8 quantitative traits were analyzed,and the results showed that the accumulation indices of the top four principal components were up to 78.43%. Cluster analysis showed that 333 sesame germplasm resources were classified into five groups. The Group Ⅱ had branch, dwarf, internode short and high yield. The Group Ⅲ could be used as specific material. The Group Ⅴ was belongs to the type of leaf-fruit.更多还原