中国农业科学 ›› 2026, Vol. 59 ›› Issue (21): 4937-4956.doi: 10.3864/j.issn.0578-1752.2026.21.016

• 园艺 • 上一篇    

128份茶树种质农艺性状和生化成分多样性分析及综合评价

杨春1,2(), 梁思慧1,2, 汪安然1,2, 郭燕1,2, 乔大河1,3, 陈娟1, 密孝增1,2, 李燕1,2, 林开勤1,2, 陈正武1,2,3()   

  1. 1 贵州省茶叶研究所, 贵阳 550006
    2 贵州省特色园艺作物分子育种全省重点实验室, 贵阳 550006
    3 农业农村部喀斯特山区作物基因资源与种质创新重点实验室, 贵阳 550006
  • 收稿日期:2026-06-10 接受日期:2026-07-28 出版日期:2026-11-01 发布日期:2026-11-06
  • 通信作者:
    陈正武,E-mail:
  • 联系方式: 杨春,E-mail:610681998@qq.com。
  • 基金资助:
    国家自然科学基金(32360773); 贵州省科技计划(黔科合平台ZSYS[2025]027); 贵州省科技计划(黔科合重大[2025]044); 贵州省茶叶产业技术体系(GZCYCYJSTX-202602)

Diversity Analysis and Comprehensive Evaluation of Agronomic Traits and Biochemical Components in 128 Tea Germplasm

YANG Chun1,2(), LIANG SiHui1,2, WANG AnRan1,2, GUO Yan1,2, QIAO DaHe1,3, CHEN Juan1, MI XiaoZeng1,2, LI Yan1,2, LIN KaiQin1,2, CHEN ZhengWu1,2,3()   

  1. 1 Guizhou Tea Research Institute, Guiyang 550006
    2 Guizhou Key Laboratory of Molecular Breeding for Characteristic Horticultural Crops, Guiyang 550006
    3 Key Laboratory of Crop Genetic Resources and Germplasm Innovation in Karst Region, Ministry of Agriculture and Rural Affairs, Guiyang 550006
  • Received:2026-06-10 Accepted:2026-07-28 Published:2026-11-01 Online:2026-11-06

摘要:

【目的】挖掘保存茶树种质利用潜力,选育优良茶树新品种,为贵州茶树新品种选育和茶树种质资源高效鉴定利用提供参考依据。【方法】以资源圃内保存的128份茶树种质为材料,系统测定其6个农艺性状(耐寒性、物候期、芽叶形态等)与14个生化成分(儿茶素类、生物碱类、茶氨酸等),结合遗传多样性分析、相关性分析、聚类分析、主成分分析和灰色关联分析开展综合评价。【结果】128份茶树种质的20个性状指标变异系数为13.33%—114.10%,遗传多样性指数为0.92—2.08,农艺性状平均变异系数(31.66%)与遗传多样性指数(1.63)均低于生化性状(49.80%、1.86)。一芽三叶长、3-没食子酰基奎宁酸、咖啡碱、表没食子儿茶素没食子酸酯(EGCG)、表儿茶素没食子酸酯(ECG)和茶氨酸含量呈正态分布,而没食子儿茶素没食子酸酯(GCG)和1,2,6-三没食子酰葡萄糖(1,2,6-TGGP)分布高度集中。相关性分析显示,冻害指数与芽叶茸毛呈显著正相关(P<0.05),与芽叶颜色、可可碱、咖啡碱和表儿茶素(EC)呈显著或极显著负相关(P<0.05;P<0.01);一芽一叶期与一芽三叶长、芽叶茸毛、咖啡碱和EGCG呈显著或极显著正相关(P<0.05;P<0.01),与3-没食子酰基奎宁酸、没食子酸、EC、ECG、茶氨酸呈极显著负相关(P<0.01)。不同物候期种质差异较大,在芽叶茸毛、咖啡碱、EGCG等8个性状上存在显著差异(P<0.05)。聚类分析将128份种质划分为7个类群,物候期、产量指标等农艺性状和咖啡碱、EGCG、茶氨酸等主要生化成分是区分不同类群种质的关键性状。主成分分析提取7个主成分,累计贡献率为69.35%,EGCG、咖啡碱、表没食子儿茶素(EGC)、EC等生化性状是影响种质综合得分F值的核心指标。以特早生、强耐寒性和高含量茶氨酸为基准构造理想品种开展灰色关联度分析,128份种质与理想品种间的加权关联度为0.51—0.73,GT-GY-05、HJY-F1-55、GT-AS-41、GT-LP-01和JAL1的加权关联度超过0.7。【结论】128份茶树种质表现出丰富的遗传多样性,生化性状的变异水平与多样性指数整体高于农艺性状。咖啡碱、EGCG、ECG等核心组分遗传稳定性较高,甲基化儿茶素、3-没食子酰葡萄糖等稀有次生代谢成分变异丰富,具备较高的特异性选育潜力。高加权关联度种质GT-AS-41(0.71)兼具特早生、强耐寒性和较高茶氨酸含量,有望育成特早生优质茶树品种。

关键词: 茶树, 耐寒性, 物候期, 咖啡碱, 主成分分析, 灰色关联分析

Abstract:

【Objective】This study aimed to explore the utilization potential of preserved tea germplasm and breed new elite tea cultivars, and to provide a theoretical and practical references for the breeding of new tea varieties and efficient identification of tea germplasm in Guizhou Province. 【Method】A total of 128 tea germplasm preserved in the resource nursery were used as materials. 6 agronomic traits (including cold resistance, phenological stage, bud and leaf morphology, etc.) and 14 biochemical components (including catechins, alkaloids, theanine, etc.) were systematically determined. Comprehensive evaluation was conducted by combining genetic diversity analysis, correlation analysis, cluster analysis, principal component analysis (PCA), and grey relational analysis (GRA). 【Result】The variation coefficients of 20 trait indices of the 128 tea germplasm ranged from 13.33% to 114.10%, and the genetic diversity indices ranged from 0.92 to 2.08. The average variation coefficient (31.66%) and genetic diversity index (1.63) of agronomic traits were lower than those of biochemical traits (49.80%, 1.86). The length of one bud and three leaves, theogallin, caffeine, epigallocatechin gallate (EGCG), epicatechin gallate (ECG), and theanine contents showed normal distribution, while the kurtosis values of gallocatechin gallate (GCG) and 1,2,6-tri-O-galloyl-β-D-glucose (1,2,6-TGGP) exceeded 20, indicating that the contents of these two components were highly concentrated in the 128 tea germplasm. Correlation analysis showed that the frost injury index was significantly positively correlated with bud and leaf pubescence (P<0.05), and significantly or extremely significantly negatively correlated with bud and leaf color, theobromine, caffeine, and epicatechin (EC) (P<0.01; P<0.05). One-bud-one-leaf stage was significantly or extremely significantly positively correlated with length of one bud with three leaves, young shoot pubescence, caffeine and EGCG contents (P<0.01; P<0.05), and extremely significantly negatively correlated with theogallin, gallic acid, EC, ECG, and theanine contents. Cluster analysis divided the 128 germplasm into 7 clusters, agronomic traits including phenological stages and yield indicators, together with major biochemical components such as caffeine, EGCG and theanine, were the key characteristics for distinguishing germplasm of different groups. PCA extracted 7 principal components with a cumulative contribution rate of 69.35%. Biochemical traits such as EGCG, caffeine, epigallocatechin (EGC), and EC were key indicators affecting F comprehensive score. Grey relational analysis was carried out by constructing an ideal cultivar based on extra-early sprouting, strong cold resistance, and high theanine content. The weighted grey relational degrees between 128 germplasm and the ideal cultivar ranged from 0.51 to 0.73, Notably, GT-GY-05, HJY-F1-55, GT-AS-41, GT-LP-01, and JAL1 exhibited values exceeding 0.7. 【Conclusion】The 128 tea accessions possessed abundant genetic diversity. Overall, biochemical traits showed higher variation coefficients and genetic diversity indices than agronomic traits. Core components including caffeine, EGCG and ECG exhibited relatively high genetic stability, whereas rare secondary metabolites such as methylated catechins and theogallin showed abundant variation, granting them great potential for breeding elite germplasm with unique traits. GT-AS-41, with a high weighted grey relational degree of 0.71, is characterized by extra-early sprouting, highly cold resistance and relatively high theanine content, showing great potential for breeding new high-quality extra-early-sprouting tea cultivars.

Key words: Camellia sinensis L., cold resistance, phenological stage, caffeine, principal component analysis, grey relational analysis