应用生态学报2009，Vol.20Issue(7)：1551-1558,8.
基于表型参数及SRAP标记的广东茶树种质遗传多样性
Genetic diversity of Camellia sinensis germplasm in Guangdong Province based on morphological parameters and SRAP markers
摘要
Abstract
By the methods of phenotypic identification and SRAP makers amplification, the genetic diversity of twenty-five local tea cultivars in Guangdong Province and five contrastive cultivars from other regions was assessed and classified, and the phenotypic traits of the cultivars were clustered by Pearson correlation and Farthest neighbor methods. The coefficient of variation of the phenotypic traits was averagely 32.15%. Fine-hair had the highest coefficient of variation (42.41%), while the growth period of bud leaves had the smallest one (18.52%). Based on the cluster analysis of phenotypic traits, the test 30 tea cultivars could be clustered into 4 groups, 17 cultivars in the first group, 10 cultivars in the second group, 2 contrastive cultivars Yunnan-dayezhong and Lingyun-baimaocha in the third group, and 1 contrastive cultivar Hainan-dayezhong in the fourth group. After the amplification with 21 SRAP primers, a total of 127 fragments were detected, among which, 114 fragments were polymorphic, accounting for 88.67% of the total. The amplified fragments and polymorphic fragments per primer combination were averagely 6.05 and 5.43, respectively. At the genetic distance of 0.39 cm, the tea cultivars could be classified into three groups A, B and C, and 83.33% of the cultivars were belonged to group A. At the genetic distance of 0.31 cm, group A could be further classified into three sub-groups Ⅰ, Ⅱ and Ⅲ, 13 cultivars in subgroup Ⅰ, 2 cultivars in subgroupⅡ, and 10 cultivars in subgroup Ⅲ. It was not exactly the same between the clustering based on SRAP markers amplification and the performance of phenotypic traits.关键词
茶树/遗传多样性/表型性状/SRAPKey words
tea plant/ genetic diversity/ phenotypic traits/ SRAP.分类
农业科技引用本文复制引用
沈程文,宁正祥,黄建安,陈栋,李家贤..基于表型参数及SRAP标记的广东茶树种质遗传多样性[J].应用生态学报,2009,20(7):1551-1558,8.基金项目
国家自然科学基金项目(30471115)和广东省农业科学院项目(SR0273)资助. （30471115）
