Acta Agriculturae Zhejiangensis ›› 2022, Vol. 34 ›› Issue (11): 2438-2450.DOI: 10.3969/j.issn.1004-1524.2022.11.13

• Horticultural Science • Previous Articles     Next Articles

Analysis of main quality components and selection of excellent resources of early-sprouting tea germplasm resources in southern Zhejiang, China

SHU Zaifa(), LIU Yu, SHAO Jingna, ZHENG Shenghong, ZHOU Huijuan, JI Qingyong, HE Weizhong()   

  1. Lishui Academy of Agricultural and Forestry Sciences, Lishui 323000, Zhejiang, China
  • Received:2021-02-01 Online:2022-11-25 Published:2022-11-29
  • Contact: HE Weizhong

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.

Key words: early-sprouting tea germplasm resource, biochemical component, principal component analysis, cluster analysis, correlation analysis

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