35份贵州茶树种质资源的生化成分多样性分析与综合评价

doi:10.3969/j.issn.1004-1524.20250285

浙江农业学报 ›› 2026, Vol. 38 ›› Issue (8): 1517-1528.DOI: 10.3969/j.issn.1004-1524.20250285

35份贵州茶树种质资源的生化成分多样性分析与综合评价

郭维¹(), 马贤森¹, 聂红艳¹, 宋治豪¹, 周轶¹, 陈光勋¹, 陈正武²^,^*()

¹ 毕节市农业科学院茶叶果树研究所, 贵州毕节 551700
² 贵州省茶叶研究所, 贵州贵阳 550006

收稿日期:2025-04-07 出版日期:2026-08-25 发布日期:2026-09-14
作者简介:郭维,研究方向为茶树育种与栽培。E-mail:243958897@qq.com
通讯作者: *陈正武,E-mail:zwchentea@163.com
基金资助:
毕节市农业科学院科学技术项目(毕农科合〔2025〕3号)

Diversity analysis and comprehensive evaluation of biochemical components of 35 accessions of tea plants in Guizhou Province, China

GUO Wei¹(), MA Xiansen¹, NIE Hongyan¹, SONG Zhihao¹, ZHOU Yi¹, CHEN Guangxun¹, CHEN Zhengwu²^,^*()

¹ Tea and Fruit Research Institute, Bijie Academy of Agricultural Sciences, Bijie 551700, Guizhou, China
² Guizhou Tea Research Institute, Guiyang 550006, China

Received:2025-04-07 Published:2026-08-25 Online:2026-09-14

摘要/Abstract

摘要：

为探明部分地方群体种和黄金芽自然杂交后代生化品质特点,为今后的茶树新品种选育工作提供参考,采用高效液相色谱法对贵州省茶叶研究所资源圃内35份茶树材料的28种生化成分进行检测,并运用遗传多样性分析、相关分析、主成分分析和聚类分析对这些种质资源进行综合评价。结果显示,28种生化成分的平均变异系数为43.04%,最大的是半胱氨酸含量(117.40%),最小的是咖啡碱含量(14.55%),遗传多样性指数平均值为1.81,最大的是苯丙氨酸含量(2.09),最小的是没食子儿茶素没食子酸酯含量(0.66),氨基酸类物质的遗传多样性指数均较高。主成分分析提取7个主成分,累计方差贡献率为78.451%,其中,总儿茶素、精氨酸、表没食子儿茶素没食子酸酯、谷氨酸、表儿茶素没食子酸酯、茶氨酸含量为关键指标。聚类分析将供试种质材料分为4类,第Ⅳ类(高氨基酸、低生物碱与儿茶素)综合评分最优,适宜加工名优绿茶。结合评价结果,筛选出GT-AS-70、GT-AS-83等9份材料作为培育绿茶适制品种的种质资源基础。

关键词: 茶树资源, 生化成分, 遗传多样性, 主成分分析, 聚类分析

Abstract:

To explore the quality characteristics of biochemical components in natural hybrid progenies derived from several local landraces and tea cultivar Huangjinya, and to supply theoretical references for future novel tea cultivar breeding, high-performance liquid chromatography (HPLC) was adopted to quantify 28 biochemical components across 35 tea accessions conserved in the germplasm nursery of Guizhou Tea Research Institute. Multiple statistical approaches including genetic diversity analysis, correlation analysis, principal component analysis (PCA) and cluster analysis were integrated to conduct a comprehensive evaluation of all tested accessions. The results revealed that the average coefficient of variation (CV) of the 28 biochemical components reached 43.04%. Cysteine (Cys) content exhibited the maximum CV of 117.40%, while caffeine (CAF) content showed the minimum CV of 14.55%. The mean value of the genetic diversity index was 1.81; phenylalanine (Phe) content possessed the highest index value of 2.09, and gallocatechin gallate (GCG) content had the lowest value of 0.66. Overall, amino acid components presented relatively high genetic diversity indexes. Seven principal components were extracted via PCA, accounting for a cumulative variance contribution rate of 78.451%. Total catechins (TC), arginine (Arg), epigallocatechin gallate (EGCG), glutamic acid (Glu), epicatechin gallate (ECG) and theanine (The) contents were identified as the core evaluation indicators. All tested accessions were divided into 4 groups by cluster analysis. Group Ⅳ, characterized by high amino acid contents as well as low alkaloid and catechin levels, obtained the optimal comprehensive score and possessed excellent suitability for manufacturing premium green tea. Based on the integrated evaluation results, 9 elite accessions represented by GT-AS-70 and GT-AS-83 were screened for developing green tea-specific cultivars.

Key words: tea plant resource, biochemical component, genetic diversity, principal component analysis, cluster analysis

中图分类号:

S571.1

郭维, 马贤森, 聂红艳, 宋治豪, 周轶, 陈光勋, 陈正武. 35份贵州茶树种质资源的生化成分多样性分析与综合评价[J]. 浙江农业学报, 2026, 38(8): 1517-1528.

GUO Wei, MA Xiansen, NIE Hongyan, SONG Zhihao, ZHOU Yi, CHEN Guangxun, CHEN Zhengwu. Diversity analysis and comprehensive evaluation of biochemical components of 35 accessions of tea plants in Guizhou Province, China[J]. Acta Agriculturae Zhejiangensis, 2026, 38(8): 1517-1528.

图/表 7

参考文献 30

[1]	唐璐, 李长乐, 葛悦, 等. 茶树地方群体种资源叶片表型及生化组分多样性分析[J]. 茶叶科学, 2023, 43(4): 473-488.
	Tang L, Li C L, Ge Y, et al. Diversity analysis of leaf phenotype and biochemical components in tea local population resources[J]. Journal of Tea Science, 2023, 43(4): 473-488.
[2]	朱艳宇, 于文涛, 高水练, 等. 福建安溪茶树种质资源遗传多样性与铁观音衍生品种遗传关系[J]. 浙江农业学报, 2024, 36(7): 1591-1601.
	Zhu Y Y, Yu W T, Gao S L, et al. The diversity of tea germplasm resources and genetic relationship of ‘Tieguanyin’-derived varieties in Anxi, Fujian, China[J]. Acta Agriculturae Zhejiangensis, 2024, 36(7): 1591-1601.
[3]	郑美慧, 田玉凤, 桂荣娟, 等. 茶叶中生物碱检测方法的研究进展[J]. 食品安全质量检测学报, 2019, 10(21): 7194-7199.
	Zheng M H, Tian Y F, Gui R J, et al. Research progress on detection methods of alkaloids in tea[J]. Journal of Food Safety & Quality, 2019, 10(21): 7194-7199.
[4]	刘昕, 吴建铭. 高效液相色谱法同时检测茶叶提取物中9种儿茶素类和3种生物碱类化合物[J]. 香料香精化妆品, 2024(1): 114-118.
	Liu X, Wu J M. Simultaneous determination of nine catechins and three alkaloids in tea extracts by HPLC[J]. Flavour Fragrance Cosmetics, 2024(1): 114-118.
[5]	刘培琴, 胡超琼, 邹燕, 等. HPLC-MS/MS法测定茶叶中儿茶素类、茶黄素类物质[J]. 中国测试, 2024, 50(7): 63-69.
	Liu P Q, Hu C Q, Zou Y, et al. Determination of catechins and theaflavins in tea by HPLC-MS/MS[J]. China Measurement & Test, 2024, 50(7): 63-69.
[6]	王河川. 闽南地区19株野生茶树主要活性成分研究[J]. 中国茶叶, 2024, 46(10): 37-42.
	Wang H C. Study on the main active ingredients of 19 wild tea trees in southern Fujian[J]. China Tea, 2024, 46(10): 37-42.
[7]	罗英, 罗弘禹. 72份武汉茶叶氨基酸检测与高茶氨酸品种筛选[J]. 江西化工, 2024, 40(4): 33-36.
	Luo Y, Luo H Y. Amino acid detection of 72 Wuhan teas and screening of high theanine varieties[J]. Jiangxi Chemical Industry, 2024, 40(4): 33-36.
[8]	张致玮, 李梁, 杨小俊, 等. 茶叶中游离氨基酸的检测与其生物活性研究进展[J]. 食品安全质量检测学报, 2024, 15(10): 82-89.
	Zhang Z W, Li L, Yang X J, et al. Research progress on detection and biological activity of free amino acids in tea[J]. Journal of Food Safety & Quality, 2024, 15(10): 82-89.
[9]	黄芳, 钱佳佳, 傅秀敏. 茶叶氨基酸合成代谢及转化研究进展[J]. 中国茶叶, 2023, 45(9): 10-18.
	Huang F, Qian J J, Fu X M. Research advances in amino acid metabolism and transformation of tea plants(Camellia sinensis)[J]. China Tea, 2023, 45(9): 10-18.
[10]	Wang C, Han J X, Pu Y T, et al. Tea (Camellia sinensis): a review of nutritional composition, potential applications, and omics research[J]. Applied Sciences, 2022, 12(12): 5874.
[11]	董方, 李小飞, 沈思言, 等. 江西茶树资源的遗传多样性分析及优异种质筛选[J]. 江西农业大学学报, 2022, 44(6): 1466-1477.
	Dong F, Li X F, Shen S Y, et al. Genetic diversity analysis and screening of excellent germplasm of tea plant resources in Jiangxi[J]. Acta Agriculturae Universitatis Jiangxiensis, 2022, 44(6): 1466-1477.
[12]	喻云春, 林开勤, 魏杰, 等. 贵州茶树育种研究史略:上篇[J]. 贵茶, 2023(3): 61-72.
	Yu Y C, Lin K Q, Wei J, et al. History of tea breeding in Guizhou: part 1[J]. Journal of Guizhou Tea, 2023(3): 61-72.
[13]	曹雨, 乔大河, 赵华富, 等. 25份贵州镇宁野生茶树种质资源的表型及生化组分多样性分析[J]. 中国农学通报, 2018, 34(14): 81-88.
	Cao Y, Qiao D H, Zhao H F, et al. Diversity analysis of 25 wild tea germplasms in Zhenning, Guizhou: phenotype and biochemical components[J]. Chinese Agricultural Science Bulletin, 2018, 34(14): 81-88.
[14]	谢文钢, 李晓松, 谭礼强, 等. 四川茶树资源遗传多样性及高EGCG资源筛选[J]. 热带作物学报, 2020, 41(12): 2430-2438.
	Xie W G, Li X S, Tan L Q, et al. Genetic diversity of tea resources and screening high EGCG germplasms in Sichuan Province[J]. Chinese Journal of Tropical Crops, 2020, 41(12): 2430-2438.
[15]	陈潇敏, 赵峰, 王淑燕, 等. 福建野生茶树资源嘌呤生物碱构成评价及特异资源筛选[J]. 茶叶科学, 2022, 42(1): 18-28.
	Chen X M, Zhao F, Wang S Y, et al. Purine alkaloid evaluation and excellent resources screening of Fujian wild tea[J]. Journal of Tea Science, 2022, 42(1): 18-28.
[16]	靖翠翠, 杨秀芳, 谭蓉, 等. 微波制样对茶叶内质成分的影响[J]. 食品安全质量检测学报, 2015, 6(4): 1265-1270.
	Jing C C, Yang X F, Tan R, et al. Effect of microwave fixation on tea chemical components[J]. Journal of Food Safety & Quality, 2015, 6(4): 1265-1270.
[17]	杨春, 梁思慧, 陈正武, 等. 黄色芽叶茶树新品种黄金芽自然杂交后代的生化品质分析[J]. 西南农业学报, 2023, 36(9): 1859-1868.
	Yang C, Liang S H, Chen Z W, et al. Biochemical quality analysis and evaluation of natural hybrid progenies from new tea variety with yellow bud leaf ‘Huangjinya’[J]. Southwest China Journal of Agricultural Sciences, 2023, 36(9): 1859-1868.
[18]	乌凤章, 张润梅, 尹泽宇, 等. 基于主成分分析的高丛蓝莓品种果实品质综合评价[J]. 农业工程学报, 2022, 38(22): 262-269.
	Wu F Z, Zhang R M, Yin Z Y, et al. Comprehensive quality evaluation of highbush blueberry cultivars based on principal component analysis[J]. Transactions of the Chinese Society of Agricultural Engineering, 2022, 38(22): 262-269.
[19]	Jiang H, Zhang M T, Wang D X, et al. Analytical strategy coupled to chemometrics to differentiate Camellia sinensis tea types based on phenolic composition, alkaloids, and amino acids[J]. Journal of Food Science, 2020, 85(10): 3253-3263.
[20]	郑红发, 黄亚辉, 黄怀生, 等. 高EGCG茶资源筛选及适制地域研究[J]. 福建茶叶, 2007, 29(2): 16-18.
	Zheng H F, Huang Y H, Huang H S, et al. Selection for resource and suitable region of high EGCG tea[J]. Tea in Fujian, 2007, 29(2): 16-18.
[21]	杨春, 杨代星, 李燕, 等. 贵州大树茶形态学特征及生化成分综合分析[J]. 中国农业科学, 2024, 57(19): 3894-3919.
	Yang C, Yang D X, Li Y, et al. Comprehensive analysis of morphologic characters and biochemical components of Guizhou Dashu tea germplasms[J]. Scientia Agricultura Sinica, 2024, 57(19): 3894-3919.
[22]	莫岚, 黄亚辉, 赵文芳, 等. 金秀野生茶树群体中儿茶素和氨基酸组分含量分析[J]. 云南农业大学学报(自然科学), 2018, 33(4): 690-695.
	Mo L, Huang Y H, Zhao W F, et al. Contents of catechin and amino acid of wild tea colonies in Jinxiu[J]. Journal of Yunnan Agricultural University(Natural Science), 2018, 33(4): 690-695.
[23]	陈潇敏, 章进汕, 金珊, 等. 福建大田茶树品种资源生化成分特征分析与评价[J]. 南方农业学报, 2022, 53(2): 381-390.
	Chen X M, Zhang J S, Jin S, et al. Analysis of biochemical components of tea variety resources in Datian, Fujian[J]. Journal of Southern Agriculture, 2022, 53(2): 381-390.
[24]	王治会, 彭华, 岳翠男, 等. 江西茶树资源功能成分综合评价与种质优选[J]. 河南农业科学, 2020, 49(8): 54-62.
	Wang Z H, Peng H, Yue C N, et al. Comprehensive evaluation and germplasm selection of functional tea resources in Jiangxi Province[J]. Journal of Henan Agricultural Sciences, 2020, 49(8): 54-62.
[25]	刘梦月, 孙悦, 韦朝领, 等. 茶树功能性成分的遗传多样性分析及综合评价[J]. 植物资源与环境学报, 2023, 32(5): 28-38.
	Liu M Y, Sun Y, Wei C L, et al. Genetic diversity analysis and comprehensive evaluation on functional components of tea tree (Camellia sinensis)[J]. Journal of Plant Resources and Environment, 2023, 32(5): 28-38.
[26]	梁思慧, 郭维, 杨春, 等. 贵州姑箐古茶树种质资源的生化成分特征分析与评价[J]. 贵州农业科学, 2025, 53(4): 94-103.
	Liang S H, Guo W, Yang C, et al. Analysis and evaluation of biochemical component characteristics of Guqing ancient tea tree germplasm resources in Guizhou[J]. Guizhou Agricultural Sciences, 2025, 53(4): 94-103.
[27]	马林龙, 金孝芳, 曹丹, 等. 湖北引种高氨基酸茶树品种的绿茶适制性分析[J]. 浙江农业学报, 2017, 29(2): 251-260.
	Ma L L, Jin X F, Cao D, et al. Suitability for processing green tea from high amino acid content of tea introduced to Hubei Province[J]. Acta Agriculturae Zhejiangensis, 2017, 29(2): 251-260.
[28]	赵洋, 刘振, 杨培迪, 等. 黄金茶种质资源生化成分的多样性分析[J]. 江苏农业学报, 2021, 37(5): 1285-1291.
	Zhao Y, Liu Z, Yang P D, et al. Diversity analysis of biochemical components in Huangjincha (Camellia sinensis) germplasm resources[J]. Jiangsu Journal of Agricultural Sciences, 2021, 37(5): 1285-1291.
[29]	江新凤, 李琛, 石旭平, 等. 高效液相色谱法对“黄金菊” 茶中儿茶素和氨基酸组分含量的测定[J]. 食品研究与开发, 2021, 42(5): 172-176.
	Jiang X F, Li C, Shi X P, et al. HPLC determination of catechin and amino acid components in Camellia sinensis ‘Huangjinju’[J]. Food Research and Development, 2021, 42(5): 172-176.
[30]	杨春, 乔大河, 郭燕, 等. 115份贵州茶树资源氨基酸和茶氨酸分析与特异资源筛选[J]. 浙江农业学报, 2022, 34(7): 1351-1360.
	Yang C, Qiao D H, Guo Y, et al. Analysis into amino acids and theanine contents of 115 tea germplasms and special germplasm resource screening in Guizhou, China[J]. Acta Agriculturae Zhejiangensis, 2022, 34(7): 1351-1360.

生化成分 Biochemical component	含量/(mg·g^-1) Content/(mg·g^-1)	CV/%	H'
TB	9.34±2.64	28.32	1.74
TP	0.13±0.06	46.58	1.90
CAF	33.78±4.91	14.55	1.91
GA	0.51±0.15	28.32	1.88
EGC	14.76±3.57	24.18	2.00
C	0.49±0.11	21.34	1.83
EC	6.82±1.81	26.54	2.00
EGCG	56.68±13.01	22.95	1.78
GCG	7.80±3.95	50.66	0.66
ECG	18.79±6.77	36.04	1.77
TC	105.35±19.33	18.35	1.91
THE	28.87±5.96	20.65	1.76
ASP	2.48±0.82	33.12	1.79
SER	1.18±0.28	23.67	1.96
GLU	5.31±1.71	32.19	1.66
GLY	0.09±0.04	48.34	1.84
HIS	4.87±2.66	54.71	1.82
ARG	6.00±3.00	50.02	1.98
THR	0.15±0.11	69.19	1.88
ALA	0.26±0.16	63.44	1.90
PRO	1.18±0.46	38.73	1.91
CYS	0.01±0.01	117.40	1.60
TYR	0.06±0.05	79.75	1.73
VAL	3.41±1.27	37.27	2.01
MET	0.16±0.11	66.27	1.84
LYS	0.08±0.06	81.58	1.80
LEU	0.14±0.06	44.05	1.63
PHE	0.24±0.06	26.90	2.09

生化成分 Biochemical component	含量/(mg·g^-1) Content/(mg·g^-1)	CV/%	H'
TB	9.34±2.64	28.32	1.74
TP	0.13±0.06	46.58	1.90
CAF	33.78±4.91	14.55	1.91
GA	0.51±0.15	28.32	1.88
EGC	14.76±3.57	24.18	2.00
C	0.49±0.11	21.34	1.83
EC	6.82±1.81	26.54	2.00
EGCG	56.68±13.01	22.95	1.78
GCG	7.80±3.95	50.66	0.66
ECG	18.79±6.77	36.04	1.77
TC	105.35±19.33	18.35	1.91
THE	28.87±5.96	20.65	1.76
ASP	2.48±0.82	33.12	1.79
SER	1.18±0.28	23.67	1.96
GLU	5.31±1.71	32.19	1.66
GLY	0.09±0.04	48.34	1.84
HIS	4.87±2.66	54.71	1.82
ARG	6.00±3.00	50.02	1.98
THR	0.15±0.11	69.19	1.88
ALA	0.26±0.16	63.44	1.90
PRO	1.18±0.46	38.73	1.91
CYS	0.01±0.01	117.40	1.60
TYR	0.06±0.05	79.75	1.73
VAL	3.41±1.27	37.27	2.01
MET	0.16±0.11	66.27	1.84
LYS	0.08±0.06	81.58	1.80
LEU	0.14±0.06	44.05	1.63
PHE	0.24±0.06	26.90	2.09

主成分 Principal component	特征值 Eigenvalue	方差贡献率/% Variance contribution rate/%	累计方差贡献率/% Cumulative variance contribution rate/%
1	8.429	30.101	30.101
2	4.218	15.066	45.167
3	2.611	9.325	54.492
4	2.318	8.280	62.772
5	1.921	6.862	69.634
6	1.428	5.099	74.733
7	1.041	3.717	78.451

主成分 Principal component	特征值 Eigenvalue	方差贡献率/% Variance contribution rate/%	累计方差贡献率/% Cumulative variance contribution rate/%
1	8.429	30.101	30.101
2	4.218	15.066	45.167
3	2.611	9.325	54.492
4	2.318	8.280	62.772
5	1.921	6.862	69.634
6	1.428	5.099	74.733
7	1.041	3.717	78.451

生化成分 Biochemical component	PC1		PC2		PC3		PC4		PC5		PC6		PC7
生化成分 Biochemical component	Lo	SC	Lo	SC	Lo	SC	Lo	SC	Lo	SC	Lo	SC	Lo	SC
TB	-0.571	-0.068	0.466	0.110	-0.276	-0.106	-0.061	-0.026	0.270	0.140	-0.039	-0.027	-0.022	-0.021
TP	-0.627	-0.074	0.223	0.053	-0.098	-0.037	0.119	0.051	0.104	0.054	-0.009	-0.006	-0.094	-0.090
CAF	-0.639	-0.076	0.351	0.083	0.426	0.163	-0.022	-0.009	0.030	0.016	0.074	0.052	-0.081	-0.078
GA	-0.263	-0.031	0.576	0.136	0.035	0.013	-0.211	-0.091	0.107	0.056	0.047	0.033	0.316	0.304
EGC	-0.194	-0.023	-0.564	-0.134	0.649	0.249	0.011	0.005	0.169	0.088	-0.017	-0.012	-0.110	-0.105
C	-0.543	-0.064	0.316	0.075	0.005	0.002	0.276	0.119	-0.440	-0.229	-0.206	-0.145	0.247	0.238
EC	-0.027	-0.003	-0.127	-0.030	0.481	0.184	0.643	0.277	0.167	0.087	-0.135	-0.094	0.317	0.305
EGCG	-0.813	-0.096	0.155	0.037	0.154	0.059	0.044	0.019	-0.039	-0.020	0.229	0.160	-0.230	-0.221
GCG	-0.198	-0.024	0.177	0.042	-0.495	-0.189	-0.135	-0.058	0.574	0.299	0.318	0.222	-0.105	-0.101
ECG	-0.719	-0.085	0.550	0.130	-0.033	-0.013	0.256	0.110	0.090	0.047	-0.184	-0.129	0.107	0.103
TC	-0.881	-0.105	0.219	0.052	0.156	0.060	0.156	0.067	0.167	0.087	0.138	0.097	-0.128	-0.123
THE	0.689	0.082	-0.027	-0.006	-0.127	-0.048	0.363	0.157	0.040	0.021	-0.299	-0.209	-0.067	-0.065
ASP	0.513	0.061	0.115	0.027	-0.037	-0.014	0.486	0.210	-0.186	-0.097	0.419	0.294	0.237	0.227
SER	0.610	0.072	0.676	0.160	-0.002	-0.001	0.089	0.039	-0.011	-0.006	-0.165	-0.115	-0.014	-0.014
GLU	0.756	0.090	0.145	0.034	-0.065	-0.025	0.350	0.151	-0.242	-0.126	0.171	0.120	-0.013	-0.013
GLY	0.146	0.017	-0.278	-0.066	0.610	0.233	0.254	0.109	0.486	0.253	0.273	0.191	0.055	0.052
HIS	0.625	0.074	0.198	0.047	-0.260	-0.100	0.440	0.190	-0.153	-0.080	0.263	0.184	-0.281	-0.270
ARG	0.848	0.101	0.172	0.041	-0.034	-0.013	-0.042	-0.018	0.266	0.138	0.089	0.062	-0.120	-0.116
THR	0.503	0.060	0.733	0.174	-0.057	-0.022	-0.030	-0.013	0.035	0.018	0.054	0.038	-0.033	-0.031
ALA	0.543	0.064	0.536	0.127	-0.033	-0.013	0.276	0.119	0.278	0.145	-0.172	-0.120	-0.184	-0.177
PRO	-0.398	-0.047	0.305	0.072	0.300	0.115	0.454	0.196	-0.269	-0.140	0.458	0.321	-0.072	-0.070
CYS	0.303	0.036	-0.028	-0.007	-0.232	-0.089	-0.030	-0.013	0.563	0.293	0.246	0.172	0.572	0.550
TYR	0.343	0.041	0.519	0.123	0.497	0.190	-0.391	-0.169	-0.046	-0.024	0.053	0.037	0.006	0.006
VAL	0.275	0.033	-0.263	-0.062	0.130	0.050	0.422	0.182	0.421	0.219	-0.462	-0.324	-0.199	-0.191
MET	-0.611	-0.072	0.553	0.131	-0.074	-0.028	0.254	0.110	0.075	0.039	-0.326	-0.229	0.058	0.056
LYS	0.431	0.051	0.476	0.113	0.473	0.181	-0.244	-0.105	0.191	0.099	-0.125	-0.088	-0.018	-0.018
LEU	0.466	0.055	0.460	0.109	0.440	0.168	-0.283	-0.122	0.014	0.008	0.121	0.085	-0.169	-0.162
PHE	0.569	0.067	0.140	0.033	0.316	0.121	-0.278	-0.120	-0.308	-0.161	-0.151	-0.106	0.247	0.238

35份贵州茶树种质资源的生化成分多样性分析与综合评价

Diversity analysis and comprehensive evaluation of biochemical components of 35 accessions of tea plants in Guizhou Province, China

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 7

参考文献 30

相关文章 15

编辑推荐

Metrics

本文评价

材料Material	F₁	F₂	F₃	F₄	F₅	F₆	F₇	F	排名Ranking
GT-AS-70	-10.92	11.29	11.71	21.37	12.80	9.19	-25.68	2.14	1
GT-AS-83	-12.92	12.07	12.45	22.52	14.00	11.22	-29.21	1.80	2
GT-AS-79	-13.76	11.81	14.09	20.16	15.94	10.56	-29.70	1.47	3
GT-AS-81	-14.44	11.89	14.53	20.50	13.87	13.70	-28.50	1.40	4
GT-AS-62	-10.79	8.99	11.66	18.55	12.66	9.39	-27.38	1.36	5
HJY-F1-73	-10.52	8.72	11.75	16.15	12.57	9.08	-24.86	1.26	6
E-38-7	-11.50	9.76	11.38	16.07	12.00	11.05	-23.81	1.16	7
GT-AS-57	-13.87	11.36	14.16	17.08	13.55	12.23	-26.38	1.08	8
GT-GY-05	-14.31	12.40	13.13	18.39	14.25	11.73	-28.10	1.08	9
GT-AS-72	-14.26	10.11	15.18	19.76	14.70	11.36	-28.40	1.05	10
HJY-F1-107	-15.81	13.12	11.99	18.08	13.75	19.37	-31.87	0.75	11
HJY-F1-102	-18.03	11.32	19.85	19.67	17.72	13.97	-30.22	0.73	12
GT-AS-82	-16.17	10.77	16.72	18.16	16.02	11.11	-26.39	0.65	13
HJY-F1-76	-14.40	10.43	13.88	16.98	14.74	10.56	-26.67	0.64	14
GT-AS-19	-19.52	13.98	17.73	20.40	17.07	14.80	-29.52	0.52	15
HJY-F1-55	-16.55	11.19	15.43	19.06	14.85	12.53	-26.89	0.49	16
GZL	-17.93	14.43	14.58	18.95	14.28	13.93	-27.61	0.48	17
GT-AS-77	-15.62	10.49	15.50	16.40	14.58	11.46	-27.80	0.31	18
GT-DZ-06	-17.12	10.70	16.24	18.47	14.19	16.10	-29.54	0.26	19
HJY-F1-23	-16.00	10.72	15.55	15.73	14.46	14.96	-30.52	0.23	20
HJY-F1-8	-16.92	11.71	15.58	16.02	14.79	15.78	-30.43	0.19	21
NW2	-18.75	14.12	14.96	18.80	15.06	15.89	-31.81	0.13	22
GT-AS-58	-16.11	11.39	13.60	15.79	14.22	14.52	-29.03	0.11	23
HJY-F1-64	-16.59	10.57	15.78	16.08	14.31	15.82	-30.78	0.07	24
ZN21	-19.73	15.04	15.17	18.44	16.25	15.24	-30.66	0.03	25
QC1	-20.53	15.52	17.22	17.26	15.75	19.72	-34.20	0.02	26
GT-CR-29	-22.10	17.08	10.62	18.33	25.71	21.72	-36.04	-0.05	27
KM-F1-03	-20.52	12.74	19.62	19.36	17.21	14.87	-33.25	-0.15	28
MT0801	-22.26	17.37	14.45	20.25	17.62	13.74	-28.13	-0.24	29
GT-AS-55	-20.90	13.70	17.33	17.87	16.05	15.69	-31.18	-0.49	30
NW1	-25.02	16.50	21.42	20.79	18.04	20.46	-36.43	-0.50	31
YGS0840	-25.60	16.01	21.60	21.89	18.81	20.70	-37.63	-0.65	32
GT-LP-22	-22.88	14.74	18.18	19.40	17.27	17.79	-33.90	-0.67	33
GT-LP-55	-30.71	20.61	22.42	24.97	21.24	24.83	-46.14	-1.23	34
ZK	-28.35	16.50	23.02	18.49	17.78	26.48	-39.44	-1.60	35

生化成分 Biochemical component	不同类群的含量/(mg·g^-1) Content in different clusters /(mg·g^-1)
生化成分 Biochemical component	类群Ⅰ Cluster Ⅰ	类群Ⅱ Cluster Ⅱ	类群Ⅲ Cluster Ⅲ	类群Ⅳ Cluster Ⅳ
TB	12.70±3.07 a	10.66±2.91 ab	9.07±2.82 b	8.34±1.62 b
TP	0.18±0.08 a	0.19±0.06 a	0.11±0.06 b	0.11±0.03 b
CAF	39.44±6.23 a	39.79±3.07 a	30.93±2.70 b	32.32±3.67 b
GA	0.64±0.07 a	0.51±0.16 ab	0.45±0.14 b	0.53±0.15 ab
EGC	13.19±3.92 a	16.87±2.79 a	16.55±3.82 a	12.92±2.63 a
C	0.65±0.12 a	0.58±0.11 a	0.43±0.06 b	0.47±0.08 b
EC	6.37±1.99 a	7.12±0.89 a	6.65±2.46 a	6.93±1.64 a
EGCG	65.82±8.95 a	75.99±15.38 a	53.62±4.89 b	49.37±7.46 b
GCG	7.19±0.35 a	7.59±1.17 a	8.92±6.96 a	7.18±1.14 a
ECG	28.54±8.58 a	24.80±5.56 a	15.09±4.38 b	17.15±5.16 b
TC	121.76±11.71 a	132.95±19.31 a	101.26±11.18 b	94.02±11.41 b
THE	23.44±3.01 b	24.92±6.30 b	27.84±2.67 ab	32.29±6.27 a
ASP	2.21±0.36 ab	1.82±0.67 b	2.24±0.51 ab	2.97±0.87 a
SER	1.41±0.07 a	0.79±0.18 c	1.05±0.13 b	1.39±0.17 a
GLU	4.36±0.92 b	3.41±0.77 b	5.02±0.71 ab	6.48±1.77 a
GLY	0.06±0.03 b	0.07±0.04 ab	0.11±0.06 a	0.08±0.03 ab
HIS	3.73±2.49 b	2.75±1.28 b	3.93±1.32 b	6.63±2.88 a
ARG	4.82±3.93 b	1.81±1.32 c	6.33±1.64 ab	7.67±2.49 a
THR	0.26±0.09 a	0.04±0.03 b	0.09±0.05 b	0.23±0.09 a
ALA	0.21±0.03 b	0.10±0.06 b	0.17±0.08 b	0.40±0.15 a
PRO	1.57±0.27 ab	1.61±0.43 a	0.94±0.25 c	1.11±0.48 bc
CYS	—	—	0.01±0.01 a	0.01±0.01 a
TYR	0.14±0.12 a	0.02±0.02 b	0.05±0.03 b	0.07±0.03 b
VAL	2.03±0.32 b	3.21±2.39 ab	3.69±0.84 a	3.57±0.93 a
MET	0.33±0.21 a	0.24±0.07 ab	0.10±0.07 c	0.14±0.07 bc
LYS	0.15±0.03 a	0.01±0.01 c	0.07±0.06 bc	0.09±0.06 ab
LEU	0.20±0.11 a	0.08±0.05 c	0.13±0.03 bc	0.16±0.05 ab
PHE	0.26±0.06 a	0.17±0.04 b	0.24±0.08 ab	0.26±0.05 a

[1]	穆好鑫, 陈潇琪, 方萍萍, 李朝森, 韦静, 王雪艳, 张婷, 杨立飞, 赵东风. 丝瓜种子形态多样性评价及其核糖体失活蛋白含量比较[J]. 浙江农业学报, 2026, 38(8): 1563-1573.
[2]	秦斗文, 田吉婷, 巨秀婷. 新疆地区伊犁郁金香花色表型多样性及其与地理因子的相关性[J]. 浙江农业学报, 2026, 38(8): 1589-1597.
[3]	兰会杰, 高宏伟, 吉嘉若, 蔡瑞国, 张敏, 林小虎, 杨敏. 45份小豆种质的综合评价[J]. 浙江农业学报, 2026, 38(6): 1177-1186.
[4]	邓云丹, 陆承锐, 李录山, 徐永艳. 10种百合鳞茎营养成分的测定与评价[J]. 浙江农业学报, 2026, 38(6): 1228-1235.
[5]	李佳奇, 胡宽莲, 沈子靖, 史建国, 何韵. 不同霜冻胁迫时间下霜桑叶品质的变化[J]. 浙江农业学报, 2026, 38(5): 934-943.
[6]	麻慧芳, 王娟菲, 薛红丽, 任果香, 史关燕. 杂交谷子新品系产量与表型性状的遗传分析[J]. 浙江农业学报, 2026, 38(3): 428-439.
[7]	刘静, 王尖, 黄钰, 吴晓花, 郭轩赫, 汪颖, 李国景, 许小江. 南瓜果实品质评价的指标筛选与模型构建[J]. 浙江农业学报, 2026, 38(2): 248-257.
[8]	钟弘睿, 褚云霞, 邓姗, 张余, 张永春, 任丽, 赵洪, 章毅颖, 刘昆, 曹建国, 陈海荣. 基于特异性、一致性、稳定性测试的朱顶红品种资源遗传多样性分析[J]. 浙江农业学报, 2026, 38(2): 258-268.
[9]	何苏悦, 李燕, 丁云倩, 李欣泽, 韩庆辉, 陈小央. 基于SSR标记的浙江省地方玉米种质遗传关系分析[J]. 浙江农业学报, 2026, 38(1): 24-34.
[10]	许卫猛, 徐妍, 陈国立. 基于多种分析方法的糯玉米品质综合评价[J]. 浙江农业学报, 2025, 37(9): 1840-1848.
[11]	刘国敏, 郑虚, 廖玉娇, 覃叶欣, 覃维治. 嫁接对低温胁迫下马铃薯苗抗寒性的影响[J]. 浙江农业学报, 2025, 37(8): 1615-1623.
[12]	谈亚丽, 高梦祥, 李晓洁, 周英杰, 熊健, 曾子琦, 李啸, 杨华. 湖北省主栽核桃在不同采收期的品质[J]. 浙江农业学报, 2025, 37(7): 1459-1468.
[13]	江振蓝, 陈付勋, 罗双飞, 罗烨琴, 沙晋明. 基于多光谱变换和主成分分析的土壤全铁含量随机森林模型反演[J]. 浙江农业学报, 2025, 37(7): 1521-1532.
[14]	洪霞, 卢基来, 漆慧娟, 陈孝赏. 姜种质资源遗传多样性分析与核心种质资源库的构建[J]. 浙江农业学报, 2025, 37(6): 1233-1243.
[15]	岳丽, 庄红梅, 祖力皮牙·买买提, 王佳敏, 毛红艳, 张英仙, 尼格尔热依·亚迪卡尔, 于明. 基于主成分分析与聚类分析的芜菁肉质根质地品质综合评价[J]. 浙江农业学报, 2025, 37(5): 1057-1071.