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。
To efficiently use sesame germplasm resources, this study analyzed the correlation, principal component and cluster of8quantitative traits and8 quality traits of 333 sesame germplasm resources by SPSS 24.0 software. The results showed that the number ofcapsules per plant had a very significant correlation with the number of branches, plant height and the length of the main stem, while hadnegatively correlated with branching height. Besides, it had a relationship with leaf number, plant type, leaf color and nectary. Theprincipal components of 8 quantitative traits were analyzed, and the results showed that the accumulation indices of the top four principalcomponents were up to 78.43%. Cluster analysis showed that 333 sesame germplasm resources were classified into five groups. TheGroup Ⅱ had branch, dwarf, internode short and high yield. The Group Ⅲ could be used as specific material. The Group Ⅴ was belongsto the type of leaf-fruit.
出处
《山西农业科学》
2017年第12期1912-1916,共5页
Journal of Shanxi Agricultural Sciences
基金
国家现代农业芝麻产业技术体系(CARS-14-2-02)
山西省农业科学院科研项目(17YZGC050)
关键词
芝麻
种质资源
相关性分析
聚类分析
sesame
germplasm resources
correlation analysis
cluster analysis