茶叶科学 >

2022 , Vol. 42 >Issue 5: 649 - 660

DOI: https://doi.org/10.13305/j.cnki.jts.2022.05.002

研究报告

利用图像特征分析茶树成熟叶表型的遗传多样性

  • 陈琪予 ,
  • 马建强 ,
  • 陈杰丹 ,
  • 陈亮
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  • 中国农业科学院茶叶研究所,浙江 杭州 310008
陈琪予,男,硕士研究生,主要从事茶树资源育种与遗传改良研究。

收稿日期: 2022-01-14

  修回日期: 2022-03-29

  网络出版日期: 2022-10-28

基金资助

中国农业科学院科技创新工程（CAAS-ASTIP-2021-TRICAAS）、财政部与农业农村部：国家现代农业产业技术体系专项资金（CARS-19）资助、浙江省农业新品种选育重大科技专项（2021C02067）、浙江省自然科学基金（LQ20C160010）

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Genetic Diversity of Mature Leaves of Tea Germplasms Based on Image Features

  • CHEN Qiyu ,
  • MA Jianqiang ,
  • CHEN Jiedan ,
  • CHEN Liang
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  • Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, China

Received date: 2022-01-14

  Revised date: 2022-03-29

  Online published: 2022-10-28

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摘要

明确我国茶树种质资源遗传多样性是对其有效利用的重要基础。以国家种质杭州茶树圃中的504份茶树资源为材料,对成熟叶的18个图像特征进行统计、主成分、相关性和聚类分析,以研究基于数字图像特征的我国茶树种质资源的遗传多样性。结果表明,其变异系数和遗传多样性指数分别为15.97%和1.98。不同省份之间,平均变异系数福建最大,为16.29%,江苏最小,为10.58%;平均遗传多样性指数浙江最大,为2.01,重庆最小,为1.67。主成分分析将18个图像特征降维成4个主成分,累计贡献率达到82.63%,并从18个图像特征中筛选出了12个显著差异的图像特征。根据图像特征进行聚类分析,将504份茶树种质资源聚成6类。研究结果为以数字图像技术深入评价和利用我国茶树种质资源提供了参考依据。

关键词： 茶树; 成熟叶片; 图像特征; 遗传多样性; 种质资源

本文引用格式

陈琪予 , 马建强 , 陈杰丹 , 陈亮 . 利用图像特征分析茶树成熟叶表型的遗传多样性[J]. 茶叶科学, 2022 , 42(5) : 649 -660 . DOI: 10.13305/j.cnki.jts.2022.05.002

Abstract

The genetic diversity of tea germplasm in China is an important basis for its effective utilization. In this study, the genetic diversity of tea germplasm in China was elucidated by statistical analysis, principal component analysis, correlation analysis and cluster analysis of 18 image features of mature leaves from 504 tea germplasm accessions preserved in China National Germplasm Hangzhou Tea Repository. The results show that the coefficient of variation and genetic diversity index of this population were 15.97% and 1.98, respectively. Among different provinces, the average coefficient of variation was the largest in Fujian province, which was 16.29%. The data of Jiangsu province was on the bottom, accounting for 10.58%. Zhejiang province had the highest average genetic diversity index at 2.01. The average genetic diversity index of Chongqing municipality reached the lowest point, occupying 1.67. The dimension of 18 image features were streamlined by principal component analysis and characterized into 4 principal components, with a cumulative contribution rate of 82.63%, and 12 image features were screened out from 18 image features with significant differences. According to the image features, the tea germplasms were clustered into 6 groups. The results provided a theoretical basis and reference for further exploration and utilization of tea germplasm in China.

Key words： genetic diversity; germplasm; image characteristics; mature leaves; tea plant

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