为综合评价不同茶树品种在黔北地区的生长情况,并筛选出适应当地生态环境的优异茶树品种,以46个茶树品种为材料,测定13项生长表型与品质指标,采用变异系数、Shannon多样性指数(H′)、相关性分析、主成分分析和聚类分析进行综合评价。结果表明:①46个茶树品种的13项指标差异极显著(P<0.01),变异系数为5.74%~53.74%,分枝高度(53.74%)和酚氨比(30.68%)变异系数最大;H′为1.72~2.04,遗传多样性丰富。②游离氨基酸与酚氨比、茶多酚呈极显著负相关(P<0.001);百芽质量与地径、冠幅、叶面积呈极显著正相关(P<0.001),与发芽密度呈极显著负相关(P<0.001)。③主成分分析提取6个主成分,累计贡献率为86.630%;综合得分前5名品种为‘黔湄601'‘中茶108'‘云抗10号'‘雪芽100'和‘紫娟'。④聚类分析将46个茶树品种分为4个类群,第Ⅱ类群(‘黔湄601'‘中茶108'‘云抗10号'‘紫娟'及‘郁金香'等)生长势强、茶多酚含量高(18.41%)。综上,‘黔湄601'‘中茶108'‘云抗10号'‘雪芽100'和‘紫娟'等5个品种综合性状优良,可作为黔北地区品种改良与特色产品开发的优选材料。
Abstract
To comprehensively evaluate the growth performance of different tea cultivars in northern Guizhou and to screen for elite cultivars adapted to the local ecological environment, 13 growth phenotypic and quality indicators were measured using 46 tea cultivars as test materials. A comprehensive evaluation was conducted using the coefficient of variation, Shannon diversity index (H′), correlation analysis, principal component analysis and cluster analysis. The results showed that: ① There were highly significant differences (P<0.01) in the 13 indicators, with coefficients of variation ranging from 5.74% to 53.74%. Branch height (53.74%) and the phenol-to-amine ratio (30.68%) exhibited the greatest variation. The Shannon diversity index ranged from 1.72 to 2.04, indicating high genetic diversity. ② Free amino acid content was significantly negatively correlated with phenol-ammonia ratio and tea polyphenol content (P<0.001). 100-bud weight was significantly positively correlated with ground diameter, crown width, and leaf area (P<0.001), but significantly negatively correlated with germination density (P<0.001). ③ Six principal components were extracted by principal component analysis, with a cumulative contribution rate of 86.630%. The top five cultivars ranked by their comprehensive score were ‘Qianmei 601' ‘Zhongcha 108' ‘Yunkang 10' ‘Xueya 100', and ‘Zijuan'. ④ Cluster analysis divided the 46 cultivars into four groups, among which Group Ⅱ ‘Qianmei 601' ‘Zhongcha 108' ‘Yunkang 10' ‘Zijuan', and ‘Yujinxiang' exhibited strong growth vigor and high polyphenol content (18.41%). In conclusion, five cultivars including ‘Qianmei 601' demonstrated superior comprehensive traits and can be used as preferred materials for cultivar improvement and specialized product development in northern Guizhou.
关键词
茶树品种 /
生长表型 /
品质成分 /
主成分分析 /
聚类分析
Key words
tea cultivars /
growth phenotype /
quality components /
principal component analysis /
cluster analysis
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参考文献
[1] 邱晓莹. 我国茶树品种登记现状及优质种质资源主要特征[J]. 浙江农业科学, 2024, 65(5): 1215-1223.
Qiu X Y.Tea cultivars registration status and main characteristics of high-quality germplasm resources of tea plants in China[J]. Journal of Zhejiang Agricultural Sciences, 2024, 65(5): 1215-1223.
[2] 宁功伟, 杨盛美, 宋维希, 等. 云南茶树种质资源研究60年[J]. 植物遗传资源学报, 2023, 24(3): 587-598.
Ning G W, Yang S M, Song W X, et al.Tea germplasm resources research in Yunnan for 60 years[J]. Journal of Plant Genetic Resources, 2023, 24(3): 587-598.
[3] 邓少春, 田易萍, 李友勇, 等. 茶树资源核心种质研究进展[J]. 中国农学通报, 2015, 31(16): 121-126.
Deng S C, Tian Y P, Li Y Y, et al.Research progress of core germplasm of tea tree resources[J]. Chinese Agricultural Science Bulletin, 2015, 31(16): 121-126.
[4] 黄海涛, 敖存, 毛宇骁, 等. 龙井茶适制茶树品种多性状综合评价—基于多元统计分析[J]. 中国农学通报, 2020, 36(4): 76-82.
Huang H T, Ao C, Mao Y Y, et al.Comprehensive evaluation on characters of tea varieties suitable for Longjing tea: based on multiple statistic[J]. Chinese Agricultural Science Bulletin, 2020, 36(4): 76-82.
[5] 覃爱颖, 陈恩海, 劳福增, 等. 基于叶片解剖结构特征的50份茶树品种(系)综合评价与性状关联分析[J]. 热带作物学报, 2025, 46(10): 2376-2389.
Qin A Y, Chen E H, Lao F Z, et al.Leaf anatomical determinants of stress resistance and productivity: a comprehensive evaluation of 50 tea accessions in Guangxi[J]. Chinese Journal of Tropical Crops, 2025, 46(10): 2376-2389.
[6] 魏春梅, 安福全, 苏奇倩, 等. 49份茶树种质资源叶片表型性状的遗传多样性分析[J]. 茶叶学报, 2024, 65(4): 21-32.
Wei C M, An F Q, Su Q Q, et al.Genetic diversity of 49 tea germplasms classified by leaf phenotypes[J]. Acta Tea Sinica, 2024, 65(4): 21-32.
[7] 王治会, 彭华, 杨普香, 等. 基于多元统计法的赣育茶树新品系评价[J]. 江西农业大学学报, 2022, 44(3): 540-548.
Wang Z H, Peng H, Yang P X, et al.Evaluating new tea strains in Jiangxi Province based on multivariate statistical method[J]. Acta Agriculturae Universitatis Jiangxiensis, 2022, 44(3): 540-548.
[8] 马林龙, 曹丹, 刘艳丽, 等. 基于主成分分析的不同茶树品种在湖北地区的适应性评价[J]. 热带作物学报, 2020, 41(7): 1335-1346.
Ma L L, Cao D, Liu Y L, et al.Evaluation of adaptability of different tea cultivars in Hubei based on principal components analysis[J]. Chinese Journal of Tropical Crops, 2020, 41(7): 1335-1346.
[9] 孟繁博, 陈芝能, 黄道梅, 等. 茶树资源的品质及农艺性状多样性分析[J]. 种子, 2022, 41(2): 76-81.
Meng F B, Chen Z N, Huang D M, et al.Diversity analysis of quality and agronomic traits of tea tree resources[J]. Seed, 2022, 41(2): 76-81.
[10] 李娜娜, 冯玥, 丁长庆, 等. 2024年茶树遗传育种研究进展[J]. 中国茶叶, 2025, 47(4): 1-13, 22.
Li N N, Feng Y, Ding C Q, et al.Research progress on tea genetics and breeding in 2024[J]. China Tea, 2025, 47(4): 1-13, 22.
[11] 张云竹, 吴琳娜, 周向阳, 等. 气候变化对贵州湄潭茶叶种植适宜性影响研究[J]. 贵州师范大学学报(自然科学版), 2023, 41(3): 62-72.
Zhang Y Z, Wu L N, Zhou X Y, et al.Influenceof climate change on planting tea in Meitan County, Guizhou Province[J]. Journal of Guizhou Normal University (Natural Sciences), 2023, 41(3): 62-72.
[12] 宁静, 刘振, 杨拥军, 等. 城步峒茶资源主要生化成分遗传多样性分析[J]. 茶叶通讯, 2019, 46(3): 269-275.
Ning J, Liu Z, Yang Y J, et al.Genetic diversity analysis for main biochemical components of Chengbu Dong tea accessions[J]. Journal of Tea Communication, 2019, 46(3): 269-275.
[13] 齐冰洁, 王敏, 张智勇, 等. 燕麦种质资源矿质元素的多样性分析[J]. 作物杂志, 2020, 202(4): 72-78.
Qi B J, Wang M, Zhang Z Y, et al.Diversity analysis of mineral elements in oat germplasm resources[J]. Crops, 2020, 202(4): 72-78.
[14] Chen C J, Chen H, Zhang Y, et al.TBtools: an integrative toolkit developed for interactive analyses of big biological data[J]. Molecular Plant, 2020, 13(8): 1194-1202.
[15] Wang Z, Huang R, Moon D G, et al. Achievements and prospects of QTL mapping and beneficial genes and alleles mining for important quality and agronomic traits in tea plant (Camellia sinensis)[J]. Beverage Plant Research, 2023, 3: 22. https://doi.org/10.48130/BPR-2023-0022.
[16] 贾瑞玲, 赵小琴, 南铭, 等. 64份苦荞种质资源农艺性状遗传多样性分析与综合评价[J]. 作物杂志, 2021, 202(3): 19-27.
Jia R L, Zhao X Q, Nan M, et al.Genetic diversity analysis and comprehensive assessment of agronomic traits of 64 tartary buckwheat germplasms[J]. Crops, 2021, 202(3): 19-27.
[17] 张亚真, 张弋, 韩奥迪, 等. 新梢表型性状特异性茶树种质资源研究进展[J]. 茶叶学报, 2023, 64(1): 21-29.
Zhang Y Z, Zhang Y, Han A D, et al.Research progress on characteristic shoot phenotype of tea germplasms[J]. Acta Tea Sinica, 2023, 64(1): 21-29.
[18] 段继华, 雷雨, 康彦凯, 等. 21个茶树优良单株生化成分分析与特异资源筛选[J]. 茶叶通讯, 2020, 47(2): 215-220.
Duan J H, Lei Y, Kang Y K, et al.Biochemical component analysis and specific resource selection of 21 excellent individual tea plants[J]. Journal of Tea Communication, 2020, 47(2): 215-220.
[19] 王晓映, 张方玉, 万星, 等. 基于分子标记和表型性状的水稻地方品种遗传多样性研究[J]. 植物遗传资源学报, 2023, 24(3): 636-647.
Wang X Y, Zhang F Y, Wan X, et al.Diversity of rice landraces revealed by molecular markers and phenotypic traits[J]. Journal of Plant Genetic Resources, 2023, 24(3): 636-647.
基金
遵义市校联合项目[遵市科合HZ字(2022)410号、遵市科合HZ字(2024)335号]