贵州湄潭茶区土壤-茶叶系统中微量元素富集规律与产地溯源

doi:10.3969/j.issn.1004-1524.2022.02.20

浙江农业学报 ›› 2022, Vol. 34 ›› Issue (2): 378-390.DOI: 10.3969/j.issn.1004-1524.2022.02.20

贵州湄潭茶区土壤-茶叶系统中微量元素富集规律与产地溯源

张棚¹^,²(), 杨雪妍¹^,², 洪晶¹^,², 张娅俐¹^,², 田晓静¹^,²^,^*(), 张福梅², 曹竑¹, 陈士恩¹, 马忠仁¹^,², 丁功涛¹, 宋礼³, 罗丽³

1.西北民族大学生命科学与工程学院, 甘肃兰州 730124
2.西北民族大学生物医学研究中心,中国-马来西亚国家联合实验室,甘肃兰州 730030
3.甘南牦牛乳研究院,甘肃合作 747000

收稿日期:2021-06-04 出版日期:2022-02-25 发布日期:2022-03-02
通讯作者: 田晓静
作者简介:田晓静,E-mail: smile_tian@yeah.net
张棚(1997—),男,重庆人,硕士研究生,研究方向为食品安全与质量控制。E-mail: dear_zhangyxz@163.com
基金资助:
西北民族大学武陵山片区精准扶贫科研项目(31920180001);西北民族大学中央高校基本科研业务费(31920210006);甘南牦牛乳研究院横向课题(XBMU-2020BC-30)

Enrichment of trace elements in soil-tea system in Meitan tea area of Guizhou and origin traceability

ZHANG Peng¹^,²(), YANG Xueyan¹^,², HONG Jing¹^,², ZHANG Yali¹^,², TIAN Xiaojing¹^,²^,^*(), ZHANG Fumei², CAO Hong¹, CHEN Shi’en¹, MA Zhongren¹^,², DING Gongtao¹, SONG Li³, LUO Li³

1. College of Life Science and Engineering, Northwestern Minzu University, Lanzhou 730124, China
2. China-Malaysia National Joint Laboratory, Biomedical Research Center, Northwest Minzu University, Lanzhou 730030, China
3. Gannan Research Institute of Yak Milk, Hezuo 747000, Gansu, China

Received:2021-06-04 Online:2022-02-25 Published:2022-03-02
Contact: TIAN Xiaojing

摘要/Abstract

摘要：

为了解贵州湄潭茶区土壤-茶叶系统中微量元素的迁移与特征规律,采集湄潭县洗马镇、鱼泉镇等12个村镇的茶叶与土壤,利用电感耦合等离子体发射光谱仪(ICP-OES)测定茶叶、土壤中11种微量元素(Ce、Co、Fe、La、Mg、Mn、Na、Ni、Pr、Se、Zn)的含量。结果表明:上述地区土壤Ni、Zn等重金属的平均含量低于国家限定标准,所测重金属中单项污染指数(P_i)≤1,地累计指数(I_geo)≤0,表明这些地区土壤均未受到污染,且湄潭茶区达到富硒土壤要求;但Co、Pr、Ni的污染指数接近污染值界限,建议茶区减少含有Co、Pr、Ni 3种元素的有毒有害物质排放,以便解决未来元素污染的隐患,保持土壤清洁状态;对照国家标准,湄潭茶叶重金属含量未超标,且湄潭部分茶区符合富硒茶叶要求;茶叶-土壤-pH值系统中,茶叶与土壤上下层大部分元素含量有正或负相关关系,上下层土壤pH值与其部分元素含量也有正或负相关关系,茶树中Mn元素富集能力较强,Mn元素的吸收与Mg、Na、Ni、Pr、Co、Se元素的吸收具有一定拮抗作用;采用主成分分析与典则判别分析探讨湄潭茶区土壤上下层以及茶叶特征规律,发现主成分分析和典则判别分析均可将12个茶区的茶叶、土壤各自区分,其不仅实现了不同茶区土壤的区分,而且相同茶区土壤上下层也得到区分,且典则判别分析结果图中数据点的聚集性更好,以上结果证实,湄潭茶区不同地域茶叶与土壤微量元素含量特征存在差异性,特征规律明显。系统地对湄潭茶区土壤-茶叶体系中微量元素的特征规律进行探究,可为贵州省湄潭茶区土壤-茶叶体系中微量元素富集、迁移规律,以及产地溯源提供依据。

关键词: 湄潭, 土壤, 茶叶, 微量元素, 富集, 污染指数

Abstract:

To study the migration and characteristics of trace elements in soil-tea system in Meitan tea area, Guizhou Province, tea leaves and soil from 12 villages including Xima Town and Yuquan Town in Meitan County were collected and contents of 11 trace elements including Ce, Co, Fe, La, Mg, Mn, Na, Ni, Pr, Se and Zn were detected by inductively coupled plasma optical emission spectrometer (ICP-OES). The results showed that average contents of Ni, Zn and other heavy metals in the soil were lower than the national limit standard, and the single pollution index (P_i) ≤1 and the index of geo-accumulation (I_geo) ≤0, indicated that Meitan tea area soil were not polluted. In addition, Meitan tea area met the requirements of selenium-rich soil, but the pollution indexes of Co, Pr and Ni were close to the pollution limit. Therefore, it was suggested that the tea area should reduce the emission of toxic and harmful substances containing Co, Pr and Ni, so as to solve the hidden danger of element pollution in the future and keep the soil clean. At the same time, according to the national standard, content of heavy metals in Meitan tea did not exceed the standard, and some tea areas in Meitan met the requirements of selenium-rich tea. It could also be seen that in the tea-soil-pH system, tea had positive or negative correlations with most elements in the upper and lower layers of soil, and pH value of the upper and lower layers of the soil was also positively or negatively correlated with contents of some elements in the soil. Enrichment ability of Mn element in the tea tree was strong, and the absorption of Mn element had a certain antagonistic effect on the absorption of Mg, Na, Ni, Pr, Co and Se. In this study, principal component analysis and canonical discriminant analysis were used to study the characteristics of the upper and lower layers of soil and tea in Meitan tea area. It was found that both principal component analysis and canonical discriminant analysis could distinguish the tea leaves and soil in the 12 tea areas, which not only realized the differentiation of soil in different tea areas, but also distinguished the upper and lower layers of the soil in the same tea area, and the data points in the canonical discriminant analysis showed better aggregation. The above results indicated that there were differences in the contents of trace elements in tea leaves and soil in different regions of Meitan tea area, with obvious characteristics. In this study, the characteristics of trace elements in the soil-tea system in Meitan tea area were systematically explored to provide a basis for the enrichment, migration and origin traceability of trace elements in the soil-tea system in Meitan tea area in Guizhou Province.

Key words: Meitan County, soil, tea, trace elements, enrichment, pollution index

中图分类号:

S571.1
X825

张棚, 杨雪妍, 洪晶, 张娅俐, 田晓静, 张福梅, 曹竑, 陈士恩, 马忠仁, 丁功涛, 宋礼, 罗丽. 贵州湄潭茶区土壤-茶叶系统中微量元素富集规律与产地溯源[J]. 浙江农业学报, 2022, 34(2): 378-390.

ZHANG Peng, YANG Xueyan, HONG Jing, ZHANG Yali, TIAN Xiaojing, ZHANG Fumei, CAO Hong, CHEN Shi’en, MA Zhongren, DING Gongtao, SONG Li, LUO Li. Enrichment of trace elements in soil-tea system in Meitan tea area of Guizhou and origin traceability[J]. Acta Agriculturae Zhejiangensis, 2022, 34(2): 378-390.

图/表 12

参考文献 24

[1]	李秀平, 欧阳建, 周方, 等. 茶叶功能成分预防心血管疾病研究进展[J]. 食品科学, 2020, 41(21):311-320.
	LI X P, OUYANG J, ZHOU F, et al. Recent advances in research on functional components in tea that can prevent cardiovascular disease[J]. Food Science, 2020, 41(21):311-320.(in Chinese with English abstract)
[2]	张圆. 贵州绿茶品牌发展策略初探: 以湄潭翠芽为例[J]. 贵州茶叶, 2019, 47(1):35-38.
	ZHANG Y. Preliminary study on the development strategy of green tea brand in Guizhou: taking Meitan Cuiya tea for example[J]. Guizhou Tea, 2019, 47(1):35-38.(in Chinese with English abstract)
[3]	柳书俊, 姚新转, 赵德刚, 等. 湄潭茶园土壤养分特征及肥力质量评价[J]. 草业学报, 2020, 29(11):33-45.
	LIU S J, YAO X Z, ZHAO D G, et al. An evaluation of soil nutrient status and balance in Meitan tea plantations[J]. Acta Prataculturae Sinica, 2020, 29(11):33-45.(in Chinese with English abstract)
[4]	胡家琴, 张珍明, 张清海, 等. 贵州鸟王茶产地土壤与茶叶中微量元素含量的相关性[J]. 贵州农业科学, 2014, 42(12):79-83.
	HU J Q, ZHANG Z M, ZHANG Q H, et al. Correlation between soil and microelement content in Niaowang tea in Guizhou[J]. Guizhou Agricultural Sciences, 2014, 42(12):79-83.(in Chinese with English abstract)
[5]	刘春林, 张建, 彭益书, 等. 贵州雷山茶区土壤-茶叶重金属含量特征及饮茶风险评价[J]. 浙江农业学报, 2020, 32(6):1049-1059.
	LIU C L, ZHANG J, PENG Y S, et al. Contents and health risks assessment of heavy metals in soil and tea in Leishan, Guizhou Province[J]. Acta Agriculturae Zhejiangensis, 2020, 32(6):1049-1059.(in Chinese with English abstract)
[6]	刘德成, 李玉倩, 郑纯静, 等. 土壤重金属污染风险评价方法对比研究[J]. 河北农业科学, 2020, 24(4):89-95.
	LIU D C, LI Y Q, ZHENG C J, et al. Comparative study on risk assessment methods of heavy metal pollution in soil[J]. Journal of Hebei Agricultural Sciences, 2020, 24(4):89-95.(in Chinese with English abstract)
[7]	OLIVEIRA T S, XAVIER D D A, SANTOS L D, et al. Geochemical background indicators within a tropical estuarine system influenced by a port-industrial complex[J]. Marine Pollution Bulletin, 2020, 161:111794. DOI URL
[8]	HOSSAIN BHUIYAN M A, CHANDRA KARMAKER S, BODRUD-DOZA M, et al. Enrichment, sources and ecological risk mapping of heavy metals in agricultural soils of Dhaka district employing SOM, PMF and GIS methods[J]. Chemosphere, 2021, 263:128339. DOI URL
[9]	冉登培. 贵州地区茶叶微量元素分析及稀土影响因素探究[D]. 重庆: 西南大学, 2014.
	RAN D P. Study of trace elements and rare earth influence factors analysis of tea in Guizhou area[D]. Chongqing: Southwest University, 2014. (in Chinese with English abstract)
[10]	聂刚, 梁灵, 李忠宏, 等. 陕南茶叶稀土元素产地特征研究[J]. 中国稀土学报, 2014, 32(6):758-763.
	NIE G, LIANG L, LI Z H, et al. Origin characteristics of rare earth elements in tea in south Shaanxi Province[J]. Journal of the Chinese Society of Rare Earths, 2014, 32(6):758-763.(in Chinese with English abstract)
[11]	林昕, 黎其万, 和丽忠, 等. 基于稀土元素指纹分析判别普洱古树茶和台地茶的研究[J]. 现代食品科技, 2013, 29(12):2921-2925.
	LIN X, LI Q W, HE L Z, et al. Application of heavy rare earth element fingerprints in discrimination of Pu’er old plant tea and tableland tea[J]. Modern Food Science and Technology, 2013, 29(12):2921-2925.(in Chinese with English abstract)
[12]	ÁVILA D V L, SOUZA S O, COSTA S S L, et al. Multivariate optimization of conditions for digestion of wet feeds for dogs and cats using a closed digester block and multielement determination by ICP-OES[J]. Journal of AOAC International, 2017, 100(5):1483-1491. DOI URL
[13]	刘元林, 张棚, 张宇霞, 等. 南方与北方茶叶中矿质元素研究[J]. 茶叶通讯, 2020, 47(3):456-461.
	LIU Y L, ZHANG P, ZHANG Y X, et al. Study on mineral elements in tea from of south and north China[J]. Journal of Tea Communication, 2020, 47(3):456-461.(in Chinese with English abstract)
[14]	国家环境保护局主持中国环境监测总站. 中国土壤元素背景值[M]. 北京: 中国环境科学出版社, 1990.
[15]	葛元英, 乔乔, 张鹏, 等. 晋南铬渣堆场主要植物重金属富集特征[J]. 环境污染与防治, 2020, 42(7):833-837.
	GE Y Y, QIAO Q, ZHANG P, et al. Heavy metal enrichment characteristics of dominant plants naturally growing on chromium residue dump site in southern Shanxi[J]. Environmental Pollution & Control, 2020, 42(7):833-837.(in Chinese with English abstract)
[16]	赵佐平, 付静, 岳思羽, 等. 陕南茶园产地环境现状及其潜在生态风险评价[J]. 农业环境科学学报, 2020, 39(9):1983-1992.
	ZHAO Z P, FU J, YUE S Y, et al. Assessing producing environment and potential ecological risk of tea plantation in southern Shaanxi Province[J]. Journal of Agro-Environment Science, 2020, 39(9):1983-1992.(in Chinese with English abstract)
[17]	马恩亮. 微波消解-电感耦合等离子体质谱(ICP-MS)法同时测定茶叶中25种元素[J]. 现代预防医学, 2020, 47(20):3793-3796.
	MA E L. Determination of 25 elements in tea by microwave Digestion-ICP-MS[J]. Modern Preventive Medicine, 2020, 47(20):3793-3796.(in Chinese with English abstract)
[18]	冉登培, 杨坚, 王家伦, 等. 贵州4个主要产茶区春茶中的微量元素含量差异[J]. 贵州农业科学, 2014, 42(4):72-75.
	RAN D P, YANG J, WANG J L, et al. Differentiation of trace elements in spring tea from four main tea-producing areas in Guizhou[J]. Guizhou Agricultural Sciences, 2014, 42(4):72-75.(in Chinese with English abstract)
[19]	张清海, 林绍霞, 谭红, 等. 黔南州不同茶区土壤和茶叶重金属污染区域的差异性[J]. 贵州农业科学, 2012, 40(9):124-128.
	ZHANG Q H, LIN S X, TAN H, et al. Regional differences of heavy metals in soil and tea in tea areas of south Guizhou[J]. Guizhou Agricultural Sciences, 2012, 40(9):124-128.(in Chinese with English abstract)
[20]	李渝, 刘彦伶, 黄兴成, 等. 贵州不同茶区土壤养分及微生物量分析评价[J]. 灌溉排水学报, 2018, 37(8):98-105.
	LI Y, LIU Y L, HUANG X C, et al. Assessing soil nutrient and microbial biomass in tea plantation regions of Guizhou Province[J]. Journal of Irrigation and Drainage, 2018, 37(8):98-105.(in Chinese with English abstract)
[21]	谢再波, 李干蓉, 王先华, 等. 贵州石阡苔茶产区土壤和茶叶中重金属的监测与污染评价[J]. 农业灾害研究, 2020, 10(6):164-166.
	XIE Z B, LI G R, WANG X H, et al. Monitoring and pollution assessment of heavy metals in soil and tea in Shiqiantai tea producing area of Guizhou Province[J]. Journal of Agricultural Catastrophology, 2020, 10(6):164-166.(in Chinese with English abstract)
[22]	仝双梅, 连国奇. 贵州某茶叶种植区土壤重金属含量及环境质量评价[J]. 福建茶叶, 2018, 40(11):403.
	TONG S M, LIAN G Q. Soil heavy metal content and environmental quality evaluation in a tea planting area in Guizhou[J]. Tea in Fujian, 2018, 40(11):403.(in Chinese)
[23]	刘宏程, 林昕, 和丽忠, 等. 基于稀土元素含量的普洱茶产地识别研究[J]. 茶叶科学, 2014, 34(5):451-457.
	LIU H C, LIN X, HE L Z, et al. The discrimination of Pu’er tea according to region of origin using the content of heavy rare-earth elements[J]. Journal of Tea Science, 2014, 34(5):451-457.(in Chinese with English abstract)
[24]	龚自明, 王雪萍, 高士伟, 等. 矿物元素分析判别绿茶产地来源研究[J]. 四川农业大学学报, 2012, 30(4):429-433.
	GONG Z M, WANG X P, GAO S W, et al. Determination of geographical origin of green teas using mineral element content[J]. Journal of Sichuan Agricultural University, 2012, 30(4):429-433.(in Chinese with English abstract)

编号 Serial number	取样地点 Sampling spot	样品数量 Sample quantity	经纬度 Latitude and longitude	茶叶简称 Abbreviation of tea	土壤上层简称 Abbreviation of upper soil layer	土壤下层简称 Abbreviation of lower soil layer
1	石莲镇Shilian town	5	27°25'42.77″N,107°25'3.79″E	SLC	SLTS	SLTX
2	复兴镇Fuxing town	5	27°59'48.16″N,107°37'18.15″E	FXC	FXTS	FXTX
3	新南镇Xinnan town	5	27°32'25.60″N,107°19'18.18″E	XNC	XNTS	XNTX
4	洗马乡Xima town	5	27°57'29.25″N,107°31'7.84″E	XMC	XMTS	XMTX
5	鱼泉镇Yuquan town	5	27°52'26.22″N,107°29'34.00″E	YQC	YQTS	YQTX
6	马山镇Mashan town	5	28°3'16.54″N,107°35'20.88″E	MSC	MSTS	MSTX
7	西河乡Xihe town	5	28°9'19.95″N,107°32'30.31″E	XHC	XHTS	XHTX
8	永兴镇Yongxing town	5	27°52'30.94″N,107°35'26.49″E	YXC	YXTS	YXTX
9	高台镇Gaotai town	5	27°37'13.25″N,107°23'21.92″E	GTC	GTTS	GTTX
10	抄乐镇Chaole town	5	27°40'30.97″N,107°34'6.49″E	CLC	CLTS	CLTX
11	湄江街道Meijiang street	5	27°46'22.01″N,107°28'59.33″E	MJC	MJTS	MJTX
12	黄家坝镇Huangjiaba town	5	27°44'22.12″N,E107°25'32.78″	HJC	HJTS	HJTX

编号 Serial number	取样地点 Sampling spot	样品数量 Sample quantity	经纬度 Latitude and longitude	茶叶简称 Abbreviation of tea	土壤上层简称 Abbreviation of upper soil layer	土壤下层简称 Abbreviation of lower soil layer
1	石莲镇Shilian town	5	27°25'42.77″N,107°25'3.79″E	SLC	SLTS	SLTX
2	复兴镇Fuxing town	5	27°59'48.16″N,107°37'18.15″E	FXC	FXTS	FXTX
3	新南镇Xinnan town	5	27°32'25.60″N,107°19'18.18″E	XNC	XNTS	XNTX
4	洗马乡Xima town	5	27°57'29.25″N,107°31'7.84″E	XMC	XMTS	XMTX
5	鱼泉镇Yuquan town	5	27°52'26.22″N,107°29'34.00″E	YQC	YQTS	YQTX
6	马山镇Mashan town	5	28°3'16.54″N,107°35'20.88″E	MSC	MSTS	MSTX
7	西河乡Xihe town	5	28°9'19.95″N,107°32'30.31″E	XHC	XHTS	XHTX
8	永兴镇Yongxing town	5	27°52'30.94″N,107°35'26.49″E	YXC	YXTS	YXTX
9	高台镇Gaotai town	5	27°37'13.25″N,107°23'21.92″E	GTC	GTTS	GTTX
10	抄乐镇Chaole town	5	27°40'30.97″N,107°34'6.49″E	CLC	CLTS	CLTX
11	湄江街道Meijiang street	5	27°46'22.01″N,107°28'59.33″E	MJC	MJTS	MJTX
12	黄家坝镇Huangjiaba town	5	27°44'22.12″N,E107°25'32.78″	HJC	HJTS	HJTX

地累积指数 Geoaccumulation index	分级 Grade	污染程度 Degree of pollution
I_geo<0	0级 Level 0	无污染 No pollution
0≤I_geo<1	1级 Level 1	无污染到中度污染 No pollution to moderate pollution
1≤I_geo<2	2级 Level 2	中度污染 Moderate pollution
2≤I_geo<3	3级 Level 3	中度污染到强污染 Moderate to strong pollution
3≤I_geo<4	4级 Level 4	强污染 Strong pollution
4≤I_geo<5	5级 Level 5	强污染到极强度污染 Heavy pollution to extreme pollution
I_geo≥5	6级 Level 6	极强污染 Extreme pollution

地累积指数 Geoaccumulation index	分级 Grade	污染程度 Degree of pollution
I_geo<0	0级 Level 0	无污染 No pollution
0≤I_geo<1	1级 Level 1	无污染到中度污染 No pollution to moderate pollution
1≤I_geo<2	2级 Level 2	中度污染 Moderate pollution
2≤I_geo<3	3级 Level 3	中度污染到强污染 Moderate to strong pollution
3≤I_geo<4	4级 Level 4	强污染 Strong pollution
4≤I_geo<5	5级 Level 5	强污染到极强度污染 Heavy pollution to extreme pollution
I_geo≥5	6级 Level 6	极强污染 Extreme pollution

元素 Element	波长 Wavelength/nm	标准曲线 Standard curve	相关系数 Related coefficient	相对标准偏差 Relative standard deviation/%
Ce	418.650	y=25 582.581 60x+80.983 22	0.999 80	1.40
Co	238.892	y=9 169.647 02x-2.911 69	0.999 95	1.64
Fe	238.204	y=24 370.335 46x+1 019.292 73	0.998 28	0.37
La	333.749	y=79 738.853 61x+191.108 87	0.999 91	0.40
Mg	279.553	y=540 801.988 11x+7 210.500 76	0.995 46	0.52
Mn	257.610	y=168 638.214 11x+1 366.033 78	0.994 44	1.57
Na	589.592	y=16 431.609 90x+1 368.538 55	0.999 18	0.76
Ni	231.604	y=2 826.810 90x+44.797 87	0.999 97	0.53
Pr	417.939	y=25 174.063 29x+26.575 91	0.999 85	2.05
Se	196.026	y=535.128 98x+7.540 62	0.999 95	3.68
Zn	213.857	y=25 455.363 07x+148.422 21	0.999 93	0.35

贵州湄潭茶区土壤-茶叶系统中微量元素富集规律与产地溯源

Enrichment of trace elements in soil-tea system in Meitan tea area of Guizhou and origin traceability

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 12

参考文献 24

相关文章 15

编辑推荐

Metrics

本文评价

土壤	样品	Ce	Co	Fe	La	Mg	Mn	Na	Ni	Pr	Se	Zn
Soil	Sample
上层 Upper	SLTS	12.96 ±0.16 d	14.33 ±0.34 d	18 152 ±91.49 d	7.40 ±0.03 c	294.84 ±3.30 j	13.50 ±0.07 a	137.52 ±0.86 d	10.94 ±0.14 h	4.51 ±0.11 e	16.69 ±0.76 c	23.51 ±0.10 d
layers	FXTS	6.72 ±0.02 g	6.13 ±0.36 g	14 922 ±35.64 g	3.85 ±0.01 l	260.62 ±0.72 k	0.15 ±0.01 i	63.68 ±0.29 j	10.11 ±0.09 j	2.52 ±0.01 h	15.77 ±0.10 d	7.19 ±0.12 h
	XNTS	7.35 ±0.09 f	11.87 ±0.44 f	15 212 ±37.01 f	5.92 ±0.03 g	646.52 ±2.70 c	4.35 ±0.02 g	116.54 ±0.53 f	11.12 ±0.21 g	4.49 ±0.03 e	16.19 ±0.18 cd	8.12 ±0.12 f
	XMTS	4.56 ±0.051 k	14.68 ±0.47 cd	13 174 ±20.74 k	5.19 ±0.02 i	590.8 ±2.82 e	4.63 ±0.04 e	196.8 ±0.35 b	17.24 ±0.07 a	4.12 ±0.02 f	16.75 ±0.49 c	6.63 ±0.09 j
	YQTS	13.91 ±0.03 a	15.12 ±0.47 bc	18 534 ±86.78 c	7.94 ±0.01 b	303.66 ±1.33 i	12.42 ±0.11 b	137.1 ±0.76 d	11.01 ±0.12 gh	4.78 ±0.04 c	16.37 ±0.75 cd	24.42 ±0.10 b
	MSTS	1.71 ±0.05 l	4.57 ±0.68 h	13 638 ±63.80 j	4.29 ±0.02 k	395.48 ±1.64 f	0.03 ±0.01 j	108.98 ±0.31 g	14.25 ±0.13 d	2.50 ±0.03 h	16.64 ±0.25 c	2.25 ±0.07 k
	XHTS	7.88 ±0.1 e	3.93 ±0.61 i	15 242 ±54.04 f	4.40 ±0.02 j	337.94 ±1.57 g	0.02 ±0.01 j	97.94 ±0.36 i	10.43 ±0.04 i	3.16 ±0.04 g	15.90 ±0.28 d	6.83 ±0.07 i
	YXTS	5.83 ±0.03 i	12.38 ±0.20 f	14 306 ±23.02 h	6.05 ±0.02 f	764.84 ±2.30 a	4.56 ±0.03 ef	100.17 ±0.37 h	13.90 ±0.04 e	4.61 ±0.08 d	15.75 ±0.33 e	7.05 ±0.15 h
	GTTS	13.11 ±0.03 c	13.35 ±0.50 e	19 806 ±84.44 a	7.31 ±0.03 d	303.3 ±2.69 i	10.59 ±0.13 c	116.82 ±0.52 f	9.24 ±0.23 k	4.96 ±0.08 b	18.81 ±0.44 a	23.80 ±0.18 c
	CLTS	6.53 ±0.06 h	14.99 ±0.48 bc	15 798 ±27.75 e	7.19 ±0.02 e	656.08 ±2.97 b	3.95 ±0.06 h	185.90 ±0.22 c	16.37 ±0.06 b	5.10 ±0.03 a	18.66 ±0.50 a	10.93 ±0.11 e
	MJTS	13.66 ±0.12 b	15.46 ±0.30 b	18 660 ±76.49 b	8.72 ±0.46 a	310.8 ±1.57 h	7.11 ±0.04 d	131.86 ±0.57 e	12.10 ±0.19 f	5.01 ±0.02 b	17.55 ±0.38 b	26.20 ±0.25 a
	HJTS	5.70 ±0.05 j	16.13 ±0.19 a	14 114 ±30.50 i	5.69 ±0.01 h	595.1 ±1.23 d	4.54 ±0.01 f	200.98 ±0.29 a	14.97 ±0.07 c	4.19 ±0.04 f	19.13 ±0.86 a	7.74 ±0.05 g
下层 Lower	SLTX	2.8 ±0.04 k	15.23 ±0.32 b	13 042 ±27.75 j	5.21 ±0.01 f	681.98 ±4.85 a	4.62 ±0.02 d	166.48 ±0.41 e	15.81 ±0.08 b	4.30 ±0.02 c	16.74 ±0.32 c	9.39 ±0.06 c
layers	FXTX	12.37 ±0.05 a	6.15 ±0.26 e	18 130 ±82.76 a	6.24 ±0.029 c	179.02 ±1.04 k	0.44 ±0.01 g	119.66 ±0.56 j	10.62 ±0.06 j	3.0 ±0.07 h	16.98 ±0.26 c	21.22 ±0.08 a
	XNTX	7.89 ±0.03 c	14.68 ±0.23 c	15 936 ±28.81 c	6.95 ±0.02 a	671.42 ±6.56 b	4.77 ±0.01 c	133.4 ±0.61 h	15.48 ±0.08 c	4.89 ±0.04 a	18.00 ±0.41 ab	7.22 ±0.04 h
	XMTX	4.31 ±0.07 h	14.91 ±0.16 bc	13 178 ±44.94 i	4.96 ±0.01 g	592.08 ±1.80 c	4.41 ±0.07 e	173.6 ±0.48 d	12.74 ±0.08 e	4.14 ±0.03 d	17.58 ±0.19 b	5.25 ±0.12 i
	YQTX	6.72 ±0.04 e	16.08 ±0.37 a	15 272 ±27.75 e	6.28 ±0.03 b	589.8 ±1.22 c	4.86 ±0.04 b	188.24 ±0.55 c	15.99 ±0.09 a	4.41 ±0.09 b	17.78 ±0.34 b	10.74 ±0.09 b
	MSTX	3.89 ±0.11 j	4.66 ±0.32 f	13 982 ±81.36 g	4.66 ±0.02 i	432.02 ±1.81 g	0.28 ±0.01 h	106.58 ±0.40 k	14.68 ±0.12 d	2.86 ±0.06 i	16.14 ±0.17 d	4.512 ±0.05 j
	XHTX	8.86 ±0.1 b	3.66 ±0.27 h	15 374 ±28.81 d	4.61 ±0.01 j	302 ±0.57 i	0.24 ±0.01 h	121.62 ±0.22 i	9.36 ±0.08 l	3.27 ±0.07 f	16.08 ±0.44 d	7.78 ±0.06 e
	YXTX	6.37 ±0.15 f	3.76 ±0.19 gh	14 844 ±36.47 f	4.55 ±0.03 k	369.4 ±1.44 h	0.04 ±0.01 i	199.56 ±0.25 b	12.03 ±0.06 g	3.19 ±0.36 g	16.56 ±0.38 cd	7.35 ±0.15 g
	GTTX	1.22 ±0.06 l	4.14 ±0.39 g	12 568 ±48.17 k	2.97 ±0.01 l	210.62 ±0.80 j	0.03 ±0.01 i	80.15 ±0.16 l	9.71 ±0.09 k	1.74 ±0.02 j	15.11 ±0.57 e	2.42 ±0.06 k
	CLTX	4.04 ±0.03 i	12.27 ±0.33 d	13 302 ±21.68 h	4.91 ±0.01 h	517.82 ±1.83 e	3.29 ±0.01 f	213.14 ±0.30 a	11.32 ±0.10 h	3.61 ±0.03 e	13.97 ±0.52 f	9.40 ±0.05 c
	MJTX	7.15 ±0.10 d	14.89 ±0.24 bc	16 032 ±59.33 b	5.88 ±0.02 d	500.16 ±2.58 f	5.2 ±0.82 a	145.86 ±1.11 g	11.20 ±0.06 i	4.32 ±0.09 c	16.93 ±0.62 c	8.72 ±0.03 d
	HJTX	6.04 ±0.06 g	14.91 ±0.38 bc	14 832 ±28.64 f	5.56 ±0.02 e	541.58 ±0.49 d	4.66 ±0.02 d	149.78 ±0.43 f	12.24 ±0.07 f	4.31 ±0.02 c	18.31 ±0.39 a	7.66 ±0.12 f

样品	Ce	Co	Fe	La	Mg	Mn	Na	Ni	Pr	Se	Zn
Sample
SLC	0.023 ±0.003 de	0.180 ±0.013 b	5.061 ±0.027 a	0.209 ±0.006 g	190.910 ±4.443 b	48.015 ±0.142 a	16.046 ±0.057 b	1.895 ±0.046 a	0.263 ±0.006 g	0.244 ±0.013 bc	4.622 ±0.026 a
FXC	0.015 ±0.003 f	0.211 ±0.007 a	4.083 ±0.032 b	0.260 ±0.004 ef	193.385 ±0.705 a	44.505 ±0.174 b	17.801 ±0.094 a	1.526 ±0.038 b	0.348 ±0.007 a	0.289 ±0.065 b	3.198 ±0.024 b
XNC	0.038 ±0.005 b	0.043 ±0.008 e	1.445 ±0.025 c	0.257 ±0.003 f	101.965 ±0.189 c	12.207 ±0.027 c	6.533 ±0.105 c	0.623 ±0.025 c	0.294 ±0.007 e	0.092 ±0.029 gh	1.439 ±0.010 c
XMC	0.013 ±0.002 f	0.065 ±0.006 cd	1.061 ±0.015 d	0.263 ±0.003 e	91.760 ±0.604 d	10.545 ±0.044 f	2.710 ±0.046 e	0.494 ±0.016 ef	0.279 ±0.004 f	0.114 ±0.007 fg	1.333 ±0.027 d
YQC	0.022 ±0.005 e	0.038 ±0.007 e	1.063 ±0.020 d	0.273 ±0.003 d	90.345 ±0.548 d	10.512 ±0.041 f	1.916 ±0.054 j	0.541 ±0.045 d	0.312 ±0.013 cd	0.059 ±0.008 h	0.934 ±0.023 i
MSC	0.013 ±0.004 f	0.039 ±0.008 e	0.782 ±0.009 f	0.277 ±0.004 bcd	90.365 ±0.792 d	10.986 ±0.055 e	3.919 ±0.067 d	0.455 ±0.029 gh	0.319 ±0.007 bc	0.116 ±0.021 fg	0.641 ±0.063 j
XHC	0.040 ±0.004 ab	0.024 ±0.005 f	0.820 ±0.025 e	0.278 ±0.001 bc	90.345 ±0.465 d	9.928 ±0.079 h	2.574 ±0.087 f	0.467 ±0.027 fgh	0.312 ±0.004 cd	0.208 ±0.026 cd	1.080 ±0.029 g
YXC	0.036 ±0.005 b	0.038 ±0.010 e	0.611 ±0.014 h	0.279 ±0.004 bc	78.140 ±0.274 f	12.215 ±0.067 c	2.392 ±0.078 h	0.487 ±0.012 efg	0.311 ±0.009 cd	0.130 ±0.021 fg	1.170 ±0.004 f
GTC	0.045 ±0.006 a	0.037 ±0.004 e	0.643 ±0.017 g	0.281 ±0.003 ab	90.275 ±0.439 d	10.289 ±0.047 g	2.211 ±0.034 i	0.441 ±0.017 hi	0.325 ±0.013 b	0.185 ±0.038 ed	1.281 ±0.023 e
CLC	0.029 ±0.006 c	0.060 ±0.005 d	0.094 ±0.011 k	0.284 ±0.001 a	81.875 ±0.312 e	9.120 ±0.030 i	1.542 ±0.058 k	0.414 ±0.021 i	0.341 ±0.009 a	0.365 ±0.097 a	1.031 ±0.018 h
MJC	0.028 ±0.003 cd	0.068 ±0.005 cd	0.280 ±0.012 j	0.275 ±0.004 cd	65.395 ±0.353 g	11.187 ±0.027 d	0.839 ±0.036 l	0.412 ±0.035 i	0.308 ±0.005 d	0.210 ±0.029 cd	1.016 ±0.008 h
HJC	0.038 ±0.003 b	0.071 ±0.009 c	0.462 ±0.025 i	0.281 ±0.001 ab	82.825 ±0.460 e	9.216 ±0.054 i	2.487 ±0.044 g	0.510 ±0.014 de	0.316 ±0.006 bcd	0.147 ±0.027 ef	1.070 ±0.019 g

[1]	丁燕玲, 王鹏飞, 杨朝云, 周小南, 赵志艳, 张岩峰, 史远刚, 康晓龙. 牛miR-144靶基因预测与组织表达分析[J]. 浙江农业学报, 2022, 34(3): 471-479.
[2]	孙文艳, 刘小刚, 张文慧, 李慧永, 吴朗, 杨启良, 熊国美. 基于根区土壤质量指数优化小粒种咖啡滴灌施肥方案[J]. 浙江农业学报, 2022, 34(3): 566-573.
[3]	袁文雅, 康益晨, 杨昕宇, 张茹艳, 周春涛, 王勇, 陈喜鹏, 余慧芳, 秦舒浩. 清水苜蓿土壤浸提液对连作马铃薯根际土壤环境酶活性和微生物群落的影响[J]. 浙江农业学报, 2022, 34(2): 240-247.
[4]	杨思瑞, 杨卓, 火苗, 张洁, 张力莉, 李胜利, 徐晓锋. 荷斯坦奶牛不同群体牛舍土壤细菌菌群结构差异分析[J]. 浙江农业学报, 2022, 34(2): 275-283.
[5]	王灿, 付天岭, 龚思同, 娄飞, 周凯, 代良羽, 刘静, 林大松, 何腾兵. 叶面阻控剂对黔中喀斯特地区水稻Cd富集特征的影响[J]. 浙江农业学报, 2021, 33(9): 1710-1719.
[6]	陈闺, 周杰文, 李海平, 张发明, 李春顺, 柳立, 张毅. 土壤调理剂施用对植烟酸化土壤pH值和烤烟根系特性的影响[J]. 浙江农业学报, 2021, 33(7): 1275-1282.
[7]	张棚, 张希, 杨雪妍, 刘元林, 李儒, 龙鸣, 田晓静, 张福梅, 陈士恩, 马忠仁. 基于微量元素分析的三七产地及其主侧根鉴别[J]. 浙江农业学报, 2021, 33(7): 1300-1308.
[8]	张青青, 梁晶, 伍海兵, 郑思俊, 黄军华. 城市化进程中土地利用方式改变对土壤有机碳库的影响——以上海三林楔形绿地为例[J]. 浙江农业学报, 2021, 33(6): 1062-1068.
[9]	朱芸, 郭彬, 林义成, 傅庆林, 刘琛, 李凝玉, 李华. 新型矿基土壤调理剂对滨海盐土理化性状和水稻产量的影响[J]. 浙江农业学报, 2021, 33(5): 885-892.
[10]	奚辉, 李国雷, 陶安安, 顾品, 韩东道, 李娜, 陈喜靖. 滴灌施用有机液肥对红美人柑橘园土壤环境、柑橘产量、品质和经济效益的影响[J]. 浙江农业学报, 2021, 33(4): 670-677.
[11]	吴佩聪, 张鹏, 单颖, 邹刚华, 丁哲利, 朱治强, 赵凤亮. 秸秆炭化还田对热带土壤-水稻体系氨挥发的影响[J]. 浙江农业学报, 2021, 33(4): 678-687.
[12]	范琳娟, 刘子荣, 徐雪亮, 王奋山, 彭德良, 姚英娟. 6种杀线剂对重茬山药土壤微生物数量、酶活性和养分含量的影响[J]. 浙江农业学报, 2021, 33(3): 506-515.
[13]	程晶, 刘济明, 王姝, 王灯, 李丽霞, 徐国瑞, 陈梦, 黄路婷. 喀斯特特有植物罗甸小米核桃响应土壤水分的表型可塑性[J]. 浙江农业学报, 2021, 33(2): 259-269.
[14]	范琳娟, 刘子荣, 徐雪亮, 王奋山, 彭德良, 姚英娟. 山药不同种植模式对土壤线虫群落结构和土壤理化性质的影响[J]. 浙江农业学报, 2021, 33(2): 316-325.
[15]	隋夕然, 王妍, 刘云根, 张雅洁, 吴丽芳. 典型喀斯特区云南松林土壤养分和细菌群落对海拔的响应[J]. 浙江农业学报, 2021, 33(12): 2348-2357.