利用图像特征分析茶树成熟叶表型的遗传多样性

doi:10.13305/j.cnki.jts.2022.05.002

摘要/Abstract

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, 种质资源, 成熟叶片, 遗传多样性, 图像特征

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: tea plant, germplasm, mature leaves, genetic diversity, image characteristics

中图分类号:

S571.1
S126

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.

CHEN Qiyu, MA Jianqiang, CHEN Jiedan, CHEN Liang. Genetic Diversity of Mature Leaves of Tea Germplasms Based on Image Features[J]. Journal of Tea Science, 2022, 42(5): 649-660. doi: 10.13305/j.cnki.jts.2022.05.002.

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