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  • 吕伟,韩俊梅,文飞,等.不同来源芝麻种质资源的表型多样性分析[J].植物遗传资源学报,2020,21(1):234-242.    [点击复制]
  • LV Wei,HAN Jun-mei,WEN Fei,et al.Phenotypic Diversity Analysis of Sesame Germplasm Resources[J].植物遗传资源学报,2020,21(1):234-242.   [点击复制]
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不同来源芝麻种质资源的表型多样性分析
吕伟,韩俊梅,文飞,任果香,王若鹏,刘文萍
0
(山西省农业科学院经济作物研究所,太原 030031)
摘要:
以 246 份我国不同来源芝麻种质资源为参试材料,对其 14 个表型性状进行遗传变异分析,结果表明,参试材料的14 个表型性状中,遗传多样性指数以株高和单株蒴果数两个性状最高,均为 2.06,变异系数以蒴果棱数最高,为 60.73%。对参试材料 14 个表型性状进行主成分分析,结果表明,前 5 个主成分因子累计贡献率达 67.527%,分别为产量因子、蒴果因子、株型因子、茸毛因子、蜜腺因子。通过系统聚类,在遗传距离为 8.0 时,将参试芝麻种质资源分为 5 个类群,其中类群Ⅰ各性状中等,具有一定增产潜力,类群Ⅱ综合性状均较好,属于高秆、高产芝麻优异材料,类群Ⅲ为高产、分枝芝麻材料,类群Ⅳ为高秆、多蒴粒芝麻特异材料,类群Ⅴ为矮秆、短节间芝麻特异材料。同时对不同来源芝麻群体进行分析,将 6 个芝麻群体分为 4 大组群,组群 I 为河南、湖北、河北芝麻群体,组群Ⅱ为山西芝麻群体,组群Ⅲ为陕西芝麻群体,组群Ⅳ为重庆芝麻群体,其中山西芝麻群体平均变异系数和遗传多样性指数均最高。本研究为我国芝麻种质资源高效利用、亲本选择、品种改良提供理论基础。
关键词:  芝麻种质  鉴定  表型多样性  聚类分析
DOI:10.13430/j.cnki.jpgr.20191026001
投稿时间:2019-10-26修订日期:2019-11-05
基金项目:国家特色油料产业技术体系(CARS-14-2-04);山西省科技攻关项目(201703D221007-1);山西省农业科学院育种工程项目 (17 yzgc 050);山西省农业科学院农业科技创新项目(YCX2018419)
Phenotypic Diversity Analysis of Sesame Germplasm Resources
LV Wei,HAN Jun-mei,WEN Fei,REN Guo-xiang,WANG Ruo-peng,LIU Wen-ping
(Institute of Economic Crops Research,Shanxi Academy of Agricultural Sciences,Taiyuan 030031)
Abstract:
The phenotypic diversity analysis of 14 phenotypic traits was conducted in 246 sesame germplasm resources from different sources in China. The highest genetic diversity index(2.06)of plant height and number of capsules per plant were detected,while the coefficient variation of capsule number was ranking first with 60.73% in 14 phenotypic traits. By the principal component analysis of 14 phenotypic traits,the top five principal components(yield factor,capsule factor,plant type factor,hairy factor and nectary factor)contributed to 67.527% of phenotypic variation. Cluster analysis assigned five groups of the sesame germplasm resources when the genetic distance was 8.0. The accessions within group Ⅰ showed potential on yield increase,while the accessions with high-pillar and high-yield of excellent material with good comprehensive traits were resided in group Ⅱ. Group Ⅲ was consisted of the accessions showing high-yield and branched. The accessions showing high-rod and multi-grain were resided in group Ⅳ,while the accessions showing short-rod and short-internode were found in Group V. By taking use of the geographic information,sesame populations of different sources were classified into 4 groups,including Group Ⅰ(Henan,Hubei,and Hebei),group Ⅱ(Shanxi),group Ⅲ(Shaanxi)and group Ⅳ(Chongqing). The highest values on average of coefficient of variation and the genetic diversity index were found in accessions of group Ⅱ(Shanxi). Taken together,this study provided a theoretical basis for future utilization of sesame germplasm resources in parental selection and modern variety breeding in China.
Key words:  sesame germplasm  identification  phenotypic diversity  cluster analysis

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