1.贵州大学茶学院,贵阳 550025;2.榕江县农业农村局,贵州榕江 557200;3.榕江县两汪乡人民政府,贵州榕江 557205
研究方向为茶树遗传育种与资源高效利用,E-mail:3122274539@qq.com
陈涛林,主要从事茶树遗传育种与资源高效利用研究工作,E-mail:chentaolinteac08@163.com
国家自然科学基金项目(32260787);贵州省科技支撑计划项目(黔科合支撑[2021]一般188);贵州大学人才引进项目(贵大人基合字[2019]25号)
1.Tea College of Guizhou University, Guiyang 550025;2.Rongjiang County Bureau of Agriculture and Rural Affairs, Rongjiang 557200, Guizhou;3.Liangwang Township People’s Government of Rongjiang County, Rongjiang 557205, Guizhou
Foundation projects: National Natural Science Foundation of China Project(32260787); Science and Technology Project of Guizhou Province(Qian Ke He Support [2021] General 188); Talent Introduction Project of Guizhou University (Gui Da Ren Ji He Zi [2019] No. 25)
本研究分析了贵州特异茶树种质资源——榕江茶的品质化学成分特征及其遗传多样性,为其开发利用和特异茶树新品种培育提供科学依据。以分布在贵州省黔东南州月亮山的121份榕江茶种质资源为材料,对其水浸出物、茶多酚、游离氨基酸等21个主要品质化学成分指标进行检测分析,通过遗传多样性分析、主成分分析、聚类分析、相关性分析等对其品质性状特征和遗传多样性进行评价,并对其中的优异资源进行筛选。121份资源的21个品质化学成分指标的变异系数为5.70%~119.69%,平均为32.84%,遗传多样性指数为1.47~2.08,平均为1.95。21个品质化学成分指标的相关性分析结果显示,呈极显著正相关有42对性状,呈显著正相关的有14对,呈极显著负相关的有10对,呈显著负相关的有10对。主成分分析表明,前7个主成分特征值均大于1,且累计贡献率达76.84%,包含了原始变量的绝大部分信息,以因子得分系数矩阵求得每个单株资源的品质化学成分在各主成分上的综合得分,筛选出了12份品质化学成分综合得分高的单株资源。聚类分析显示,在欧式距离18.0处,可将121份榕江茶种质资源分为6个类群。优异种质资源筛选结果显示,121份榕江茶种质资源均属于高茶多酚(≥20.0%)、低咖啡碱(≤1.5%)、高可可碱(≥2.5%)类型的资源,其中高茶多酚(≥20.0%)、高水浸出物(≥45%)的特异类型资源有
This study analyzed the quality chemical composition characteristics and genetic diversity of Camellia yungkiangensis, a special tea germplasm resource in Guizhou, in order to provide scientific basis for its development and utilization and the cultivation of new special tea varieties. 121 Camellia yungkiangensis germplasms collected from Moon Mountain, Qiandongnan Prefecture, Guizhou Province, China, were subjected to analyze 21 main quality chemical components, such as water extracts, tea polyphenols, free amino acids. Their quality characteristics and genetic diversity were evaluated by genetic diversity analysis, principal component analysis, cluster analysis, correlation analysis, and the elite resources were identified. The variation coefficient of 21 quality chemical components in 121 resources was 5.70-119.69, with an average of 32.84%, and the genetic diversity index was 1.47-2.08, with an average of 1.95. Based on the correlation analysis results of 21 quality chemical component indexes, there were 42 pairs of traits with extremely significant positive correlation, 14 pairs with significant positive correlation, 10 pairs with extremely significant negative correlation, and 10 pairs with significant negative correlation. The principal component analysis showed that the characteristic values of the first seven principal components were over 1, with the cumulative contribution rate of 76.84%. The comprehensive score of the quality chemical components of each individual plant resource on each principal component was obtained by the factor score coefficient matrix, and 12 individual plant resources with high comprehensive score of the quality chemical components were selected. Cluster analysis showed that 121 Camellia yungkiangensis germplasm resources could be divided into 6 groups at the Euclidean distance of 18.0. The 121 Camellia yungkiangensis germplasm resources were identified with high tea polyphenols (≥20.0%), low caffeine (≤1.5%) and high theobromine (≥2.5%), of which 72 were high tea polyphenols (≥20.0%) and high water extracts (≥45%). These Camellia yungkiangensis germplasm resources, which showed high tea polyphenols, low caffeine and high theobromine, represent rich genetic diversity and have the potential to cultivate new varieties of specific tea plants.
吴河饶,任青艳,陈莹,等.榕江茶(