茶园广翅蜡蝉数量与茶叶中生化物质关系分析

doi:10.3969/j.issn.1004-1524.20221267

浙江农业学报 ›› 2023, Vol. 35 ›› Issue (8): 1834-1843.DOI: 10.3969/j.issn.1004-1524.20221267

茶园广翅蜡蝉数量与茶叶中生化物质关系分析

徐悦^a(), 吴筱萌^b, 王国庆^b, 邹运鼎^b, 毕守东^a^,^*()

安徽农业大学,a. 理学院;b. 林学与园林学院,安徽合肥 230036

收稿日期:2022-08-31 出版日期:2023-08-25 发布日期:2023-08-29
作者简介:徐悦(1996—),女,河南周口人,硕士研究生,研究方向为数学生态学。E-mail:18860381886@163.com
通讯作者: *毕守东,E-mail:bishoudong@163.com
基金资助:
国家自然科学基金(30871444);安徽省高校自然科学基金重点项目(KJ2020A0111)

Analysis of relationship between number of Ricanidae in tea plantations and biochemical substances in tea leaves

XU Yue^a(), WU Xiaomeng^b, WANG Guoqing^b, ZOU Yunding^b, BI Shoudon^a^,^*()

a. School of Science; b. School of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei 230036, China

Received:2022-08-31 Online:2023-08-25 Published:2023-08-29

摘要/Abstract

摘要：

为明确茶园广翅蜡蝉种群数量与茶叶中生化物质含量的相关性,以期为生物防治和抗虫育种提供科学依据。利用高效液相色谱-蒸发光散射检测器(HPLC-ELSD)法测定茶叶中糖类、氨基酸类、儿茶素类、低聚原花青素类、酚酸类、黄酮醇糖苷类这6类离子化合物的含量,运用相关分析方法、灰色关联度分析法、通径分析和回归分析方法研究广翅蜡蝉数量与6类生化物质的关系,得出不同生化物质含量与广翅蜡蝉数量关系的密切程度。由相关系数得出,47种离子化合物中,与广翅蜡蝉的数量强相关性组分为天冬氨酸(-0.656 3)、瓜氨酸(-0.697 9)、脱落酸(0.694 1)、鸟氨基酸(-0.728 3)、3-咖啡酰奎宁酸(0.654 8)、黄酮醇糖苷K3(0.741 4);6大类离子化合物总含量与广翅蜡蝉数量关系为:与广翅蜡蝉数量呈显著相关的为酚酸类和黄酮醇糖苷类;由灰色关联度得出,与广翅蜡蝉数量关系密切的前3位离子组分为3-咖啡酰奎宁酸(0.849 7)、黄酮醇糖苷K3(0.821 1)、鸟氨基酸(0.756 2);由通径系数和回归分析得出,氨基酸类与黄酮醇糖苷类是与广翅蜡蝉数量相关性最显著的2类生化物质。综合分析得出,与广翅蜡蝉数量关系密切的前3位离子组分为3-咖啡酰奎宁酸、黄酮醇糖苷K3和鸟氨基酸;酚酸类和黄酮醇糖苷类为与广翅蜡蝉数量关系较为密切的2类生化物质。该结果可以为茶树抗广翅蜡蝉育种提供参考。

关键词: 广翅蜡蝉, 茶树, 生化物质含量, 相关系数, 灰色关联度, 通径系数, 回归分析

Abstract:

To clarify the correlation between the population size of Ricanidae and the content of biochemical substances in tea leaves, to provide the scientific basis for biological control and insect resistance breeding. Contents of 6 types of ionic compounds including sugars, amino acids, catechins, oligomeric proanthocyanidins, phenolic acids and flavonol glycosides in tea leaves were detected by high performance liquid chromatography with evaporative light scattering detector (HPLC-ELSD). The relationship between the number of Ricanidae and 6 types of biochemical substances was studied by using correlation analysis, gray correlation analysis, path analysis and regression analysis, and the closeness of the relationship between the content of different biochemical substances and the number of Ricanidae was obtained. From the correlation coefficients, the strongly correlated components of the 47 ionic compounds with the number of Ricanidae were: aspartic acid (-0.656 3), citrulline (-0.697 9), abscisic acid (0.694 1), ornithine (-0.728 3), 3-caffeoylquinic acid (0.654 8), and flavonol glycoside K3 (0.741 4). The relationship between the total content of 6 major ionic compounds and the number of Ricanidae was as follows: phenolic acids and flavonol glycosides were significantly correlated with the number of Ricanidae. The top 3 ionic components that were closely related to the number of Ricanidae from the gray correlation were: 3-caffeoylquinic acid (0.849 7), flavonol glycoside K3 (0.821 1), and ornithine amino acids (0.756 2). From the path coefficients and regression analysis, it was concluded that phenolic acids and flavonol glycosides were the 2 biochemicals with the most significant correlation with the number of Ricanidae. Ionic components closely related to the number of Ricanidae were: 3-caffeoylquinic acid, flavonol glycoside K3 and ornithine amino acids. Phenolic acids and flavonol glycosides were two types of biochemical substances closely related to the number of Ricanidae. The results could provide references for breeding tea trees against Ricanidae.

Key words: Ricanidae, tea, biochemical substance, correlation coefficient, gray correlation, path coefficient, regression analysis

中图分类号:

S435.711

徐悦, 吴筱萌, 王国庆, 邹运鼎, 毕守东. 茶园广翅蜡蝉数量与茶叶中生化物质关系分析[J]. 浙江农业学报, 2023, 35(8): 1834-1843.

XU Yue, WU Xiaomeng, WANG Guoqing, ZOU Yunding, BI Shoudon. Analysis of relationship between number of Ricanidae in tea plantations and biochemical substances in tea leaves[J]. Acta Agriculturae Zhejiangensis, 2023, 35(8): 1834-1843.

图/表 9

参考文献 37

[1]	HINOJOSA-NOGUEIRA D, PÉREZ-BURILLO S, PASTORIZA DE LA CUEVA S, et al. Green and white teas as health-promoting foods[J]. Food & Function, 2021, 12(9): 3799-3819.
[2]	HAYAKAWA S, OHISHI T, MIYOSHI N, et al. Anti-cancer effects of green tea epigallocatchin-3-gallate and coffee chlorogenic acid[J]. Molecules, 2020, 25(19): 4553.
[3]	XIN Z J, CAI X M, CHEN S L, et al. A disease resistance elicitor laminarin enhances tea defense against a piercing herbivore Empoasca(Matsumurasca) onukii matsuda[J]. Scientific Reports, 2019, 9: 814.
[4]	DA SILVA T B V, CASTILHO P A, DE SÁ-NAKANISHI A B, et al. The inhibitory action of purple tea on in vivo starch digestion compared to other Camellia sinensis teas[J]. Food Research International, 2021, 150: 110781.
[5]	QIAN Y M, ZHANG S X, YAO S B, et al. Effects of vitro sucrose on quality components of tea plants (Camellia sinensis) based on transcriptomic and metabolic analysis[J]. BMC Plant Biology, 2018, 18(1): 121.
[6]	SCHARBERT S, HOLZMANN N, HOFMANN T. Identification of the astringent taste compounds in black tea infusions by combining instrumental analysis and human bioresponse[J]. Journal of Agricultural and Food Chemistry, 2004, 52(11): 3498-3508.
[7]	李飞, 杨丹, 郑姣莉, 等. 中国茶园主要害虫生物防治研究进展[J]. 湖北农业科学, 2020, 59(10): 5-9.
	LI F, YANG D, ZHENG J L, et al. Research advances in biological control of tea pests in China[J]. Hubei Agricultural Sciences, 2020, 59(10): 5-9. (in Chinese with English abstract)
[8]	潘鹏亮, 洪枫, 陈俊华, 等. 三种广翅蜡蝉前翅形态数值特征提取与分析[J]. 应用昆虫学报, 2020, 57(4): 980-987.
	PAN P L, HONG F, CHEN J H, et al. Extraction and analysis of numerical characteristics from forewings of three plant hopper species(Homoptera: Ricaniidae)[J]. Chinese Journal of Applied Entomology, 2020, 57(4): 980-987. (in Chinese with English abstract)
[9]	赵丰华, 吕立哲, 任红楼. 信阳茶树新害虫: 蜡蝉[J]. 中国茶叶, 2010, 32(10): 16-17.
	ZHAO F H, LYU L Z, REN H L. Wax cicada, a new pest of Xinyang tea plant[J]. China Tea, 2010, 32(10): 16-17. (in Chinese)
[10]	金银利, 马全朝, 张绍杰, 等. 圆纹广翅蜡蝉产卵规律及温度对越冬卵发育的影响[J]. 茶叶科学, 2020, 40(6): 807-816.
	JIN Y L, MA Q C, ZHANG S J, et al. Oviposition behavior and effect of temperature on the overwintering egg development of Pochazia guttifera[J]. Journal of Tea Science, 2020, 40(6): 807-816. (in Chinese with English abstract)
[11]	CAI X M, BIAN L, XU X X, et al. Field background odour should be taken into account when formulating a pest attractant based on plant volatiles[J]. Scientific Reports, 2017, 7: 41818.
[12]	XU X X, CAI X M, BIAN L, et al. Electrophysiological and behavioral responses of Chrysopa phyllochroma(Neuroptera: Chrysopidae) to plant volatiles[J]. Environmental Entomology, 2015, 44(5): 1425-1433.
[13]	CHEN S L, ZHANG L P, CAI X M, et al. (E)-Nerolidol is a volatile signal that induces defenses against insects and pathogens in tea plants[J]. Horticulture Research, 2020, 7: 52.
[14]	马新华, 邹武, 毛迎新, 等. 福建茶树害螨发生动态及其与茶树品种理化特性的相关性分析[J]. 华东昆虫学报, 2007, 16(3): 196-201.
	MA X H, ZOU W, MAO Y X, et al. The fluctuations of the index of pest mite situation and their correlations with the physical and chemical characteristics on 5 tea varieties in Fujian[J]. Entomological Journal of East China, 2007, 16(3): 196-201. (in Chinese with English abstract)
[15]	葛超美, 张家侠, 孙钦玉, 等. 灰茶尺蠖对不同茶树品种取食选择与适应性及与茶树叶片营养成分的关系[J]. 昆虫学报, 2018, 61(11): 1300-1309.
	GE C M, ZHANG J X, SUN Q Y, et al. Feeding preference and adaptation of Ectropis grisescens(Lepidoptera: Geometridae) to different tea cultivars and their relationship with nutritional components in leaves of tea plants[J]. Acta Entomologica Sinica, 2018, 61(11): 1300-1309. (in Chinese with English abstract)
[16]	毛迎新, 邹武, 马新华, 等. 福建主要茶树品种间假眼小绿叶蝉种群动态及其抗虫性比较[J]. 华中农业大学学报, 2009, 28(1): 16-19.
	MAO Y X, ZOU W, MA X H, et al. Comparison of the population dynamics of Empoasca vitis(G the) on six tea varieties and their resistance to pests[J]. Journal of Huazhong Agricultural University, 2009, 28(1): 16-19. (in Chinese with English abstract)
[17]	邹武, 林乃铨, 王庆森. 福建主要茶树品种理化特性与假眼小绿叶蝉种群数量的相关性分析[J]. 华东昆虫学报, 2006, 15(2): 129-134.
	ZOU W, LIN N Q, WANG Q S. Correlationships between physical and biochemical leaf characteristics of 4 tea varieties and the population of Empoasca vitis[J]. Entomological Journal of East China, 2006, 15(2): 129-134. (in Chinese with English abstract)
[18]	曾莉, 王平盛, 许玫. 茶树对假眼小绿叶蝉的抗性研究[J]. 茶叶科学, 2001, 21(2): 90-93.
	ZENG L, WANG P S, XU M. Studies on the resistance of tea plant to leafhopper (Empoasca vitis Go the)[J]. Journal of Tea Science, 2001, 21(2): 90-93. (in Chinese with English abstract)
[19]	黄贝. 花青素还原酶(ANR1/ANR2)在茶和油茶儿茶素代谢中的功能[D]. 合肥: 安徽农业大学, 2018.
	HUANG B. Function of anthocyanin reductase (ANR1/ANR2) in catechins metabolism of tea and Camellia oleifera[D]. Hefei: Anhui Agricultural University, 2018. (in Chinese with English abstract)
[20]	葛菁, 庞磊, 李叶云, 等. 茶树可溶性糖含量的HPLC-ELSD检测及其与茶树抗寒性的相关分析[J]. 安徽农业大学学报, 2013, 40(3): 470-473.
	GE J, PANG L, LI Y Y, et al. Determination of soluble sugar in tea plant by HPLC-ELSD and its relationship with freezing resistance[J]. Journal of Anhui Agricultural University, 2013, 40(3): 470-473. (in Chinese with English abstract)
[21]	冯琳. 茶树黄化品种的品质化学及黄化机理的分析[D]. 合肥: 安徽农业大学, 2014.
	FENG L. Analysis of quality chemistry and yellowing mechanism of yellowing tea varieties[D]. Hefei: Anhui Agricultural University, 2014. (in Chinese with English abstract)
[22]	黄明军, 杨新河, 覃彩芹, 等. HPLC-ELSD法测定黑茶中单糖和双糖的含量[J]. 食品工业, 2017, 38(1): 306-310.
	HUANG M J, YANG X H, QIN C Q, et al. Determination of monosaccharides and disaccharides in dark tea by HPLC-ELSD[J]. The Food Industry, 2017, 38(1): 306-310. (in Chinese with English abstract)
[23]	徐克学. 生物数学[M]. 北京: 科学出版社, 1999: 278-286.
[24]	邓聚龙. 灰色系统理论教程[M]. 武汉: 华中理工大学出版社, 1990: 33-84.
[25]	敬艳辉, 邢留伟. 通径分析及其应用[J]. 统计教育, 2006(2): 24-26.
	JING Y H, XING L W. Path analysis and its application[J]. Statistical Education, 2006(2): 24-26. (in Chinese)
[26]	杜家菊, 陈志伟. 使用SPSS线性回归实现通径分析的方法[J]. 生物学通报, 2010, 45(2): 4-6.
	DU J J, CHEN Z W. The method of path analysis using SPSS linear regression[J]. Bulletin of Biology, 2010, 45(2): 4-6. (in Chinese)
[27]	ROY S, HANDIQUE G, MURALEEDHARAN N, et al. Use of plant extracts for tea pest management in India[J]. Applied Microbiology and Biotechnology, 2016, 100(11): 4831-4844.
[28]	TIAN Y Y, ZHAO Y H, ZHANG L X, et al. Morphological, physiological, and biochemical responses of two tea cultivars to Empoasca onukii(Hemiptera: Cicadellidae) infestation[J]. Journal of Economic Entomology, 2018, 111(2): 899-908.
[29]	LI H A, YU Y, LI Z Z, et al. Benzothiadiazole and B-aminobutyricacid induce resistance to Ectropis obliqua in tea plants [Camellia sinensis(L.) O. kuntz][J]. Molecules, 2018, 23(6): 1290.
[30]	WANG W W, ZHENG C, HAO W J, et al. Transcriptome and metabolome analysis reveal candidate genes and biochemicals involved in tea geometrid defense in Camellia sinensis[J]. PLoS One, 2018, 13(8): e0201670.
[31]	王富花. HPLC分析测定不同茶叶中的游离氨基酸[J]. 食品研究与开发, 2018, 39(1): 141-146.
	WANG F H. Analysis and determination of free amino acids in different tea by HPLC[J]. Food Research and Development, 2018, 39(1): 141-146. (in Chinese with English abstract)
[32]	刘丽芳. 茶树不同品种和次生代谢物质对叶蝉取食行为影响的DC-EPG研究[D]. 北京: 中国农业科学院, 2011.
	LIU L F. DC-EPG study on the effects of different tea varieties and secondary metabolites on the feeding behavior of leafhoppers[D]. Beijing: Chinese Academy of Agricultural Sciences, 2011. (in Chinese with English abstract)
[33]	郑高云. 不同茶树品种对茶尺蠖抗性机制的研究[D]. 合肥: 安徽农业大学, 2008.
	ZHENG G Y. Study on the resistance mechanism of different tea varieties to tea geometrid[D]. Hefei: Anhui Agricultural University, 2008. (in Chinese with English abstract)
[34]	徐正浩, 崔绍荣, 何勇, 等. 植物次生代谢物质和害虫防治[J]. 植物保护, 2004, 30(4): 8-11.
	XU Z H, CUI S R, HE Y, et al. Plant secondary metabolites and their effects on insect management[J]. Plant Protection, 2004, 30(4): 8-11. (in Chinese with English abstract)
[35]	陈巨莲, 倪汉祥, 孙京瑞. 主要次生物质对麦蚜的抗性阈值及交互作用[J]. 植物保护学报, 2002, 29(1): 7-12.
	CHEN J L, NI H X, SUN J R. The resistance threshold and interactions of several plant secondary metabolites to wheat aphids[J]. Journal of Plant Protection, 2002, 29(1): 7-12. (in Chinese with English abstract)
[36]	MATSUBARA Y, KUMAMOTO H, IIZUKA Y, et al. Structure and hypotensive effect of flavonoid glycosides in Citrus unshiu peelings[J]. Agricultural and Biological Chemistry, 1985, 49(4): 909-914.
[37]	SCHARBERT S, HOFMANN T. Molecular definition of black tea taste by means of quantitative studies, taste reconstitution, and omission experiments[J]. Journal of Agricultural and Food Chemistry, 2005, 53(13): 5377-5384.

日期 Date	不同茶园中广翅蜡蝉种群数量Population number of Ricanidae in different tea plantations
日期 Date	A	B	C	D	E	F	G	H	I
2021-05-23	0	0	0	0	0	0	0	0	0
2021-06-20	3	7	18	0	4	11	104	48	10
2021-07-08	69	147	106	110	252	110	58	153	88

日期 Date	不同茶园中广翅蜡蝉种群数量Population number of Ricanidae in different tea plantations
日期 Date	A	B	C	D	E	F	G	H	I
2021-05-23	0	0	0	0	0	0	0	0	0
2021-06-20	3	7	18	0	4	11	104	48	10
2021-07-08	69	147	106	110	252	110	58	153	88

生化物质 Biochemicals	茶树品种Tea varieties
生化物质 Biochemicals	A	B	C	D	E	F	G	H	I
T₁	3.959 1	5.946 0	2.963 6	4.787 9	2.902 5	3.576 4	2.583 8	2.327 7	5.370 7
T₂	2.732 0	3.132 2	2.275 3	2.537 2	2.660 5	2.672 2	2.899 2	2.517 4	3.696 6
T₃	3.431 3	5.383 2	4.480 0	3.875 9	3.591 5	1.430 6	6.147 8	3.109 1	5.246 3
T₄	3.921 7	4.062 7	5.225 1	3.831 0	4.844 5	3.419 3	6.255 1	3.657 2	5.105 7
S₁	0.772 9	0.107 0	0.680 4	0.887 8	0.258 6	0.222 5	1.095 3	0.248 2	0.500 3
S₂	0.235 3	0.020 8	0.104 5	0.160 3	0.149 9	0.063 4	0.158 4	0.126 5	0.116 7
S₃	0.606 1	0.062 4	0.467 1	0.426 5	0.286 4	0.235 8	0.814 4	0.297 1	0.360 2
S₄	2.126 9	0.173 6	1.429 4	1.441 7	0.975 3	0.715 0	2.097 0	0.977 4	1.198 0
S₅	0.151 9	0.018 1	0.321 4	0.169 6	0.138 8	0.170 0	0.204 0	0.169 4	0.175 8
S₆	0.051 8	0.004 3	0.049 1	0.052 3	0.030 8	0.030 3	0.057 7	0.042 1	0.037 7
S₇	0.140 2	0.014 7	0.158 3	0.176 9	0.135 0	0.121 3	0.201 1	0.120 2	0.136 5
S₈	0.104 8	0.008 9	0.096 3	0.089 2	0.037 7	0.084 0	0.083 5	0.055 0	0.082 6
S₉	0.029 2	0.003 3	0.023 2	0.028 5	0.018 8	0.023 6	0.038 2	0.026 3	0.022 4
S₁₀	0.040 0	0.003 9	0.044 2	0.043 5	0.052 8	0.047 5	0.044 6	0.038 6	0.035 3
S₁₁	0.386 6	0.041 9	0.316 3	0.405 4	0.269 8	0.270 1	0.504 3	0.402 4	0.284 2
S₁₂	0.024 7	0.001 8	0.018 0	0.019 4	0.016 3	—	0.014 4	0.019 5	0.004 2
S₁₃	0.011 2	0.001 4	0.014 2	0.014 5	0.020 5	0.017 2	0.017 5	0.013 1	0.012 3
S₁₄	0.019 6	0.002 1	0.025 5	0.024 1	0.033 3	0.029 9	0.022 4	0.021 0	0.019 8
S₁₅	0.024 6	0.002 8	0.070 0	0.052 4	0.125 0	0.108 1	0.027 2	0.069 7	0.060 9
S₁₆	0.078 2	0.004 1	0.088 5	0.105 9	0.127 1	0.204 2	0.048 3	0.114 0	0.085 3
S₁₇	—	—	0.014 8	0.047 0	0.013 1	0.011 9	0.007 1	0.008 2	0.039 8
S₁₈	0.009 9	0.001 3	0.032 9	0.012 1	0.010 2	0.008 0	0.012 7	0.010 6	0.010 3
S₁₉	0.073 7	0.007 2	0.221 4	0.116 7	0.528 3	0.076 7	0.162 6	0.283 8	0.242 9
S₂₀	0.331 3	0.026 2	0.420 8	0.230 1	0.305 4	0.274 4	0.241 3	0.321 9	0.242 0
S₂₁	0.109 7	0.006 2	0.089 2	0.034 3	0.022 3	0.036 6	0.123 2	0.039 2	0.073 1
S₂₂	0.149 4	0.015 0	—	0.184 8	0.044 8	—	0.147 7	0.050 7	0.003 6
S₂₃	0.029 0	—	0.030 3	0.022 9	0.032 2	—	0.032 0	0.035 5	0.017 4
S₂₄	0.250 3	—	0.401 1	—	—	—	0.409 2	—	—
S₂₅	0.043 3	0.006 0	0.052 7	0.066 0	0.059 4	0.035 1	0.057 2	0.052 8	0.056 2
E₁	15.642 0	16.000 0	18.739 0	15.102 0	16.165 0	15.057 0	14.962 0	17.658 0	14.976 0
E₂	43.401 0	38.990 0	37.186 0	37.194 0	44.135 0	38.654 0	39.829 0	43.936 0	35.740 0
E₃	18.366 0	23.412 0	25.148 0	24.278 0	21.386 0	17.106 0	22.570 0	25.049 0	20.228 0
E₄	14.055 0	12.892 0	13.335 0	10.843 0	14.563 0	13.959 0	12.258 0	13.432 0	14.829 0
E₅	7.541 0	11.020	12.121 0	8.695 0	9.912 0	5.742 0	7.862 0	10.613 0	7.515 0
E₆	2.634 0	1.423 0	2.153 0	1.102 0	3.665 0	1.490 0	1.519 0	2.822 0	1.959 0
E₇	2.502 0	2.758 0	2.954 0	2.161 0	2.548 0	1.482 0	1.857 0	2.628 0	1.581 0
H₁	3.203 0	4.467 0	3.563 0	3.848 0	3.873 0	1.930 0	2.240 0	3.750 0	2.485 0
H₂	0.679 0	0.830 0	0.685 0	0.824 0	0.791 0	0.339 0	0.489 0	0.625 0	0.544 0
H₃	0.329 0	0.375 0	0.355 0	0.280 0	0.253 0	0.211 0	0.218 0	0.303 0	0.196 0
H₄	0.056 0	0.057 0	0.053 0	0.045 0	0.046 0	0.029 0	0.032 0	0.044 0	0.040 0
F₁	0.235 0	0.268 0	0.060 0	0.217 0	0.272 0	0.069 0	0.118 0	0.252 0	0.125 0
F₂	0.036 0	0.025 0	0.126 0	0.043 0	0.109 0	0.021 0	0.021 0	0.116 0	0.027 0
F₃	0.019 0	0.035 0	0.028 0	0.027 0	0.032 0	0.013 0	0.020 0	0.031 0	0.017 0
G₁	0.108 0	0.119 0	0.064 0	0.086 0	0.172 0	0.148 0	0.073 0	0.165 0	0.081 0
G₂	1.005 0	2.239 0	2.031 0	1.884 0	0.588 0	0.871 0	1.321 0	1.716 0	1.908 0
G₃	0.186 0	0.196 0	0.111 0	0.048 0	0.141 0	0.119 0	0.115 0	0.066 0	0.108 0
G₄	0.320 0	0.719 0	0.903 0	0.344 0	0.527 0	0.489 0	0.329 0	0.426 0	0.432 0

生化物质 Biochemicals	茶树品种Tea varieties
生化物质 Biochemicals	A	B	C	D	E	F	G	H	I
T₁	3.959 1	5.946 0	2.963 6	4.787 9	2.902 5	3.576 4	2.583 8	2.327 7	5.370 7
T₂	2.732 0	3.132 2	2.275 3	2.537 2	2.660 5	2.672 2	2.899 2	2.517 4	3.696 6
T₃	3.431 3	5.383 2	4.480 0	3.875 9	3.591 5	1.430 6	6.147 8	3.109 1	5.246 3
T₄	3.921 7	4.062 7	5.225 1	3.831 0	4.844 5	3.419 3	6.255 1	3.657 2	5.105 7
S₁	0.772 9	0.107 0	0.680 4	0.887 8	0.258 6	0.222 5	1.095 3	0.248 2	0.500 3
S₂	0.235 3	0.020 8	0.104 5	0.160 3	0.149 9	0.063 4	0.158 4	0.126 5	0.116 7
S₃	0.606 1	0.062 4	0.467 1	0.426 5	0.286 4	0.235 8	0.814 4	0.297 1	0.360 2
S₄	2.126 9	0.173 6	1.429 4	1.441 7	0.975 3	0.715 0	2.097 0	0.977 4	1.198 0
S₅	0.151 9	0.018 1	0.321 4	0.169 6	0.138 8	0.170 0	0.204 0	0.169 4	0.175 8
S₆	0.051 8	0.004 3	0.049 1	0.052 3	0.030 8	0.030 3	0.057 7	0.042 1	0.037 7
S₇	0.140 2	0.014 7	0.158 3	0.176 9	0.135 0	0.121 3	0.201 1	0.120 2	0.136 5
S₈	0.104 8	0.008 9	0.096 3	0.089 2	0.037 7	0.084 0	0.083 5	0.055 0	0.082 6
S₉	0.029 2	0.003 3	0.023 2	0.028 5	0.018 8	0.023 6	0.038 2	0.026 3	0.022 4
S₁₀	0.040 0	0.003 9	0.044 2	0.043 5	0.052 8	0.047 5	0.044 6	0.038 6	0.035 3
S₁₁	0.386 6	0.041 9	0.316 3	0.405 4	0.269 8	0.270 1	0.504 3	0.402 4	0.284 2
S₁₂	0.024 7	0.001 8	0.018 0	0.019 4	0.016 3	—	0.014 4	0.019 5	0.004 2
S₁₃	0.011 2	0.001 4	0.014 2	0.014 5	0.020 5	0.017 2	0.017 5	0.013 1	0.012 3
S₁₄	0.019 6	0.002 1	0.025 5	0.024 1	0.033 3	0.029 9	0.022 4	0.021 0	0.019 8
S₁₅	0.024 6	0.002 8	0.070 0	0.052 4	0.125 0	0.108 1	0.027 2	0.069 7	0.060 9
S₁₆	0.078 2	0.004 1	0.088 5	0.105 9	0.127 1	0.204 2	0.048 3	0.114 0	0.085 3
S₁₇	—	—	0.014 8	0.047 0	0.013 1	0.011 9	0.007 1	0.008 2	0.039 8
S₁₈	0.009 9	0.001 3	0.032 9	0.012 1	0.010 2	0.008 0	0.012 7	0.010 6	0.010 3
S₁₉	0.073 7	0.007 2	0.221 4	0.116 7	0.528 3	0.076 7	0.162 6	0.283 8	0.242 9
S₂₀	0.331 3	0.026 2	0.420 8	0.230 1	0.305 4	0.274 4	0.241 3	0.321 9	0.242 0
S₂₁	0.109 7	0.006 2	0.089 2	0.034 3	0.022 3	0.036 6	0.123 2	0.039 2	0.073 1
S₂₂	0.149 4	0.015 0	—	0.184 8	0.044 8	—	0.147 7	0.050 7	0.003 6
S₂₃	0.029 0	—	0.030 3	0.022 9	0.032 2	—	0.032 0	0.035 5	0.017 4
S₂₄	0.250 3	—	0.401 1	—	—	—	0.409 2	—	—
S₂₅	0.043 3	0.006 0	0.052 7	0.066 0	0.059 4	0.035 1	0.057 2	0.052 8	0.056 2
E₁	15.642 0	16.000 0	18.739 0	15.102 0	16.165 0	15.057 0	14.962 0	17.658 0	14.976 0
E₂	43.401 0	38.990 0	37.186 0	37.194 0	44.135 0	38.654 0	39.829 0	43.936 0	35.740 0
E₃	18.366 0	23.412 0	25.148 0	24.278 0	21.386 0	17.106 0	22.570 0	25.049 0	20.228 0
E₄	14.055 0	12.892 0	13.335 0	10.843 0	14.563 0	13.959 0	12.258 0	13.432 0	14.829 0
E₅	7.541 0	11.020	12.121 0	8.695 0	9.912 0	5.742 0	7.862 0	10.613 0	7.515 0
E₆	2.634 0	1.423 0	2.153 0	1.102 0	3.665 0	1.490 0	1.519 0	2.822 0	1.959 0
E₇	2.502 0	2.758 0	2.954 0	2.161 0	2.548 0	1.482 0	1.857 0	2.628 0	1.581 0
H₁	3.203 0	4.467 0	3.563 0	3.848 0	3.873 0	1.930 0	2.240 0	3.750 0	2.485 0
H₂	0.679 0	0.830 0	0.685 0	0.824 0	0.791 0	0.339 0	0.489 0	0.625 0	0.544 0
H₃	0.329 0	0.375 0	0.355 0	0.280 0	0.253 0	0.211 0	0.218 0	0.303 0	0.196 0
H₄	0.056 0	0.057 0	0.053 0	0.045 0	0.046 0	0.029 0	0.032 0	0.044 0	0.040 0
F₁	0.235 0	0.268 0	0.060 0	0.217 0	0.272 0	0.069 0	0.118 0	0.252 0	0.125 0
F₂	0.036 0	0.025 0	0.126 0	0.043 0	0.109 0	0.021 0	0.021 0	0.116 0	0.027 0
F₃	0.019 0	0.035 0	0.028 0	0.027 0	0.032 0	0.013 0	0.020 0	0.031 0	0.017 0
G₁	0.108 0	0.119 0	0.064 0	0.086 0	0.172 0	0.148 0	0.073 0	0.165 0	0.081 0
G₂	1.005 0	2.239 0	2.031 0	1.884 0	0.588 0	0.871 0	1.321 0	1.716 0	1.908 0
G₃	0.186 0	0.196 0	0.111 0	0.048 0	0.141 0	0.119 0	0.115 0	0.066 0	0.108 0
G₄	0.320 0	0.719 0	0.903 0	0.344 0	0.527 0	0.489 0	0.329 0	0.426 0	0.432 0

氨基酸 Amino acid	相关系数 Correlation coefficient	氨基酸 Amino acid	相关系数 Correlation coefficient	氨基酸 Amino acid	相关系数 Correlation coefficient	氨基酸 Amino acid	相关系数 Correlation coefficient	氨基酸 Amino acid	相关系数 Correlation coefficient
S₁	-0.656 3	S₆	-0.509 0	S₁₁	-0.418 2	S₁₆	0.209 0	S₂₁	-0.728 3
S₂	-0.222 5	S₇	-0.361 7	S₁₂	-0.014 5	S₁₇	-0.092 5	S₂₂	-0.337 7
S₃	-0.606 3	S₈	-0.697 9	S₁₃	0.172 7	S₁₈	-0.178 6	S₂₃	0.072 5
S₄	-0.577 8	S₉	-0.521 3	S₁₄	0.230 6	S₁₉	0.694 1	S₂₄	-0.533 5
S₅	-0.323 2	S₁₀	0.057 8	S₁₅	0.579 6	S₂₀	-0.046 9	S₂₅	-0.021 0

茶园广翅蜡蝉数量与茶叶中生化物质关系分析

Analysis of relationship between number of Ricanidae in tea plantations and biochemical substances in tea leaves

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糖类 Sugars	相关系数 Correlation coefficient	低聚原花青素类 Oligomeric proanthocyanidins	相关系数 Correlation coefficient	黄酮醇苷类 Flavonol glycosides	相关系数 Correlation coefficient
T₁	-0.147 3	H₁	0.558 6	G₁	0.741 4
T₂	-0.200 0	H₂	0.460 8	G₂	-0.278 0
T₃	-0.258 2	H₃	0.113 2	G₃	0.053 5
T₄	-0.196 6	H₄	0.196 6	G₄	0.274 4

酚酸类 Phenolic acids	相关系数 Correlation coefficient	儿茶素类 Catechins	相关系数 Correlation coefficient
E₁	0.276 4	F₁	0.551 6
E₂	0.475 8	F₂	0.561 8
E₃	0.183 0	F₃	0.654 8
E₄	0.267 7
E₅	0.432 5
E₆	0.627 7
E₇	0.392 9

生化物质 Biochemicals	通径系数 Path coefficient	排序 Order	间接通径系数Indirect path coefficient
生化物质 Biochemicals	通径系数 Path coefficient	排序 Order	X₁	X₂	X₃	X₄	X₅	X₆
X₁	-0.681	2		-0.002 5	0.076 9	-0.036 3	-0.165 1	0.316 6
X₂	0.138	6	0.012 3		0.060 3	-0.157 3	0.031 2	-0.365 7
X₃	-0.312	5	0.167 9	-0.026 7		0.531 0	0.385 2	-0.028 2
X₄	0.672	3	0.036 8	-0.032 3	-0.246 5		0.314 4	-0.177 8
X₅	0.467	4	0.240 7	0.009 2	-0.257 4	0.452 4		-0.386 0
X₆	-0.805	1	0.267 9	0.062 7	-0.010 9	0.148 5	0.223 9

氨基酸 Amino acids	通径系数 Path coefficient	氨基酸 Amino acids	通径系数 Path coefficient	氨基酸 Amino acids	通径系数 Path coefficient	氨基酸 Amino acids	通径系数 Path coefficient	氨基酸 Amino acids	通径系数 Path coefficient
S₁	-0.223 0	S₆	0.101 0	S₁₁	0.120 0	S₁₆	0.064 0	S₂₁	-0.728 3
S₂	0.331 0	S₇	0.202 0	S₁₂	0.338 0	S₁₇	-0.182 0	S₂₂	-0.080 0
S₃	0.340 0	S₈	-0.354 0	S₁₃	0.370 0	S₁₈	0.201 0	S₂₃	0.556 0
S₄	0.337 0	S₉	0.026 0	S₁₄	0.340 0	S₁₉	0.614 0	S₂₄	0.302 0
S₅	0.166 0	S₁₀	0.345 0	S₁₅	0.390 0	S₂₀	0.389 0	S₂₅	0.283 0

黄酮醇粮苷 Lavone glycosides	通径系数 Path coefficient	排序 Order	间接通径系数Indirect path coefficient
黄酮醇粮苷 Lavone glycosides	通径系数 Path coefficient	排序 Order	G₁	G₂	G₃	G₄
G₁	0.761	1		0.039 3	-0.012 8	-0.045 9
G₂	-0.074	4	-0.403 0		0.025 9	0.173 2
G₃	-0.135	3	0.071 8	0.014 2		0.102 8
G₄	0.421	2	-0.082 9	-0.030 5	-0.033 0

常量/变量 Constant/ Variable	回归系数 Regression coefficient	标准误差 Standard error	显著性 Significance
常量Constant	-70.446	43.877	0.159
G₁	875.808	285.518	0.022
F₃	3 771.138	1 521.024	0.048

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