| 浙南早生茶树种质资源主要品质成分分析及优异资源鉴选 |
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| 引用本文： | 疏再发,刘瑜,邵静娜,郑生宏,周慧娟,吉庆勇,何卫中.浙南早生茶树种质资源主要品质成分分析及优异资源鉴选[J].浙江农业学报,2022,34(11):2438. |
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| 作者姓名： | 疏再发 刘瑜 邵静娜 郑生宏 周慧娟 吉庆勇 何卫中 |
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| 作者单位： | 丽水市农林科学研究院,浙江 丽水 323000 |
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| 基金项目： | 现代农业产业技术体系(CARS-19);丽水市公益性技术应用研究计划(2020GYX14);浙江省农业新品种选育重大专项(2021C02067);丽水市高层次人才项目(2018XTTGCY02-04);丽水市高层次人才项目(2018RC12) |
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| 摘 要： | 利用聚类分析和主成分分析方法对64份浙南早生茶树种质资源的主要生化成分进行多样性分析。结果表明:64份茶树资源的生化成分具有较大的差异性,平均变异系数达16.68%,表现出丰富的遗传多样性。主成分分析结果表明,提取的2个主成分代表了64.287%的资源信息。聚类分析把64份资源聚类划分为3个类群,第1类群有33份资源,第2类群有18份资源,第3类群有13份资源。初步筛选出早生特异种质资源(氨基酸≥5.0%或茶氨酸≥3.0%)10份,早生优良种质资源(茶多酚≥20%或者氨基酸≥4.0%)48份,潜在早生优异茶树资源(水浸出物≥48.0%或者酚氨比≤4)24份。相关性分析显示,茶多酚、氨基酸等5种主要生化成分呈现显著相关。
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| 关 键 词： | 早生茶树资源 生化成分 主成分分析 聚类分析 相关性分析 |
| 收稿时间： | 2021-02-01 |
Analysis of main quality components and selection of excellent resources of early-sprouting tea germplasm resources in southern Zhejiang,China |
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| SHU Zaifa,LIU Yu,SHAO Jingna,ZHENG Shenghong,ZHOU Huijuan,JI Qingyong,HE Weizhong.Analysis of main quality components and selection of excellent resources of early-sprouting tea germplasm resources in southern Zhejiang,China[J].Acta Agriculturae Zhejiangensis,2022,34(11):2438. |
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| Authors: | SHU Zaifa LIU Yu SHAO Jingna ZHENG Shenghong ZHOU Huijuan JI Qingyong HE Weizhong |
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| Affiliation: | Lishui Academy of Agricultural and Forestry Sciences, Lishui 323000, Zhejiang, China |
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| Abstract: | Cluster analysis and principal component analysis (PCA) were used to analyze the genetic diversity of 64 early tea plant germplasm resources in southern Zhejiang. The results showed that abundant diversity and variation existed in 64 tea resources, and the average coefficient of variation reached 16.68%. The principal component analysis showed that the two principal components represented 64.287% information of 64 early germplasm resources. Sixty-four resources were divided into three groups by cluster analysis. The first group had 33 resources, the second group had 18 resources, and the third group had 13 resources. Ten specific germplasm resources (amino acid ≥5.0% or theanine ≥3.0%), 48 good germplasm resources (tea polyphenols ≥20% or amino acids ≥4.0%), 24 potential excellent tea germplasm resources (water extract ≥48.0% or phenol-ammonia ratio ≤4) were preliminarily screened out. The correlation analysis showed that the five main biochemical components of tea, such as polyphenols and amino acids, were significantly correlated. |
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| Keywords: | early-sprouting tea germplasm resource biochemical component principal component analysis cluster analysis correlation analysis |
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