辽宁省巨峰葡萄园土壤速效常量元素含量数据集

doi:10.19788/j.issn.2096-6369.220314

Abstract

Abstract:

Unreasonable fertilization problems such as excessive fertilization and partial fertilization are common in grape production, which seriously restricts the healthy and sustainable development of the grape industry. Soil testing and formula fertilization technology is an important way to achieve rational and precise fertilization. Proving the soil background nutrients in grape-producing areas is a necessary condition to guide formula fertilization. In this study, soil samples were collected in the vineyards of Beizhen, Gaizhou, Liaoyang, Huludao Taijitun in the four main grape production areas of Kyoho grapes in Liaoning Province for three consecutive years from 2019 to 2021 during the annual fruit ripening period. Six indicators of soil nitrate nitrogen content, ammonium nitrogen content, available phosphorus content, available potassium content, exchangeable calcium content and exchangeable magnesium content in each sample were determined. Mainly used electronic balance, automatic flow chemistry analyzer, flame spectrophotometer and automatic atomic absorption spectrometer for measurement. The dataset includes the soil available macroelements content of more than 100 vineyard areas in the four main producing areas of Kyoho grapes in Liaoning Province, which can provide data support for the formula fertilization of local Kyoho grapes, thereby promoting efficient nutrient management of Kyoho grapes and realizing green and high-quality development of Kyoho grapes in Liaoning Province.

Key words: Liaoning province, Kyoho grape, Soil, available nutrient, macroelement

CLC Number:

S518

Xiangbin Shi, Xiaolong Wang, Yican Zhang, Bobo Wang, Yuquan Ma, Fengzhi Liu, Haibo Wang. Soil Available Macroelements Datasets of Kyoho Vineyards in Liaoning Province[J].Journal of Agricultural Big Data, 2022, 4(3): 84-90.

Figures/Tables 5

Table 1

Table 2

Table 3

Table 4

References 14

1	Bratasevec K, Sovilotti P, Vodopivec B M. Soil and foliar fertilization affects mineral contents in Vitis vinifera L. cv. ‘rebula’ leaves [J]. Journal of Soil Science and Plant Nutrition, 2013, 13(3): 650-663.
2	Brunetto G, Melo G W B, Toselli M, et al. The role of mineral nutrition on yields and fruit quality in grapevine, pear and apple [J]. Revista Brasileira de Fruticultura, 2015, 37: 1089-1104.
3	Romic M, Zoyko M, Romic D, et al. Improvement of vineyard management of Vitis vinifera L. cv. Grk in the Lumbarda vineyard region (Croatia) [J]. Communications in Soil Science and Plant Analysis, 2012, 43(1/2): 209-218.
4	史祥宾, 王孝娣, 王宝亮, 等. 巨峰葡萄不同生育期植株矿质元素需求规律 [J]. 中国农业科学, 2019, 52 (15): 2686-2694.
	Shi X B, Wang X D, Wang B L, et al. The requirement rule of some essential mineral elements of Vitis vinifera Kyoho grapevine [J]. Scientia Agricultura Sinica, 2019, 52 (15): 2686-2694.
5	史祥宾, 王孝娣, 王宝亮, 等.‘红地球’葡萄氮、磷、钾、钙、镁的年需求特性研究[J].园艺学报,2021,48(11):2146-2160.
	Shi X B, Wang X D, Wang B L, et al. The requirement rule of nitrogen, phosphorus, potassium, calcium and magnesium of Vitis vinifera ‘Red globe’ grapevine [J]. Acta Horticulturae Sinica, 2021, 48(11): 2146-2160.
6	王海波, 史祥宾, 王孝娣, 等. 设施葡萄植株不同生育阶段矿质营养需求特性研究[J]. 园艺学报, 2020, 47 (11): 2121-2131.
	Wang H B, Shi X B, Wang X D, et al. Studies on the requirement and accumulative trend of nutrients in wine grape Cabernet Sauvignon [J]. Acta Horticulturae Sinica, 2020, 47 (11): 2121–2131.
7	孙美, 李栋梅, 董业雯, 等. 养分供应量对玫瑰香葡萄矿质元素和水分吸收的影响[J]. 西北植物学报, 2017, 37(3): 526-533.
	Sun M, Li D M, Dong Y W, et al. Absorption of mineral elements and water in Muscat Hamburg grape with different nutrient supply [J]. Acta Botanica Boreali-Occidentalia Sinica, 2017, 37(3): 526-533.
8	赵中阳. ‘阳光玫瑰’葡萄矿质元素和水分吸收规律研究 [D]. 上海交通大学, 2020.
	Zhao Z Y. Study on absorption of Mineral Elements and water of ‘Shine-Muscat’ grapevine. [D]. Shanghai Jiao Tong University, 2020.
9	Esmail A O, Atrushy S M M, Mustafa S A. Effect of concentrations and number of spraying with Mg on growth yield and quality of grape (Vitis vinifera L.) cv. Tre-Rash [J]. Journal of Kirkuk University for Agricultural Sciences, 2017, 8(1): 12-18.
10	Hocking B, Tyerman S D, Burton R A. Fruit calcium: transport and physiology [J]. Frontiers in Plant Science, 2016, 7: 569.
11	Schreiner R P, Scagel C F, Baham J. Nutrient uptake and distribution in a mature ‘Pinot noir’ vineyard [J]. HortScience, 2006, 41(2): 336-345.
12	Pradibsuk S, Davenport J R. Seasonal uptake and partitioning of macronutrients in mature Concord grape [J]. Journal of the American Society for Horticultural Science, 2010, 135(5): 474-483.
13	沈善敏. 中国土壤肥力[M].北京:中国农业出版社, 1998.
	Shen S M. Soil fertility in China[M]. Beijing: China Agriculture Press, 1998.
14	谢建昌. 菜园土壤肥力与蔬菜合理施肥[M].南京:河海大学出版社, 1997.
	Xie J C. Soil fertility and rational fertilization of Vegetable garden[M]. Nanjing: Hehai University Press, 1997.

数据库（集）名称	辽宁省巨峰葡萄园土壤速效常量元素含量数据集
数据作者及分工	史祥宾，总体方案设计、样品采集、测定及数据汇总分析；王小龙，样品采集及测定；张艺灿，样品采集及测定；王波波，样品采集；马玉全，样品采集；刘凤之，总体方案设计；王海波，总体方案设计与组织实施
通讯作者及邮箱	刘凤之，E-mail:liufengzhi6699@126.com;王海波，E-mail:haibo8316@163.com
数据时间范围	2019年9月13日至2021年9月26日
空间分布	辽宁省的4个地区，包括北镇、辽阳、盖州和葫芦岛台集屯镇
数据量	282kb
数据格式	*.xlsx
数据服务系统网址	http://www.agridata.cn/data.html
基金项目	财政部和农业农村部：国家现代农业产业技术体系（CARS-29）；国家重点研发计划项目（2020YFD1000204）；中国农业科学院科技创新工程（CAAS-ASTIP-2016-RIP-04）
数据库（集）组成	土壤速效常量元素指标，包括硝态氮、铵态氮、速效磷、速效钾、交换性钙和交换性镁含量

测定参数年	硝态氮含量 mg/kg		铵态氮含量mg/kg		速效磷含量mg/kg		速效钾含量mg/kg		交换性钙含量g/kg		交换性镁含量g/kg
测定参数年	范围	均值	范围	均值	范围	均值	范围	均值	范围	均值	范围	均值
2019	21.03～300.71	110.66	14.54～70.28	25.18	82.10～107.90	90.83	109.55～441.65	245.99	1.07～4.01	2.30	0.10～0.83	0.37
2020	16.33～403.41	107.85	0.37～82.42	17.62	43.36～167.03	92.16	163.27～588.97	312.30	2.75～7.88	4.40	0.31～1.77	0.68
2021	57.83～224.75	97.19	9.24～26.62	18.57	29.15～175.54	101.64	149.40～438.65	294.43	1.34～7.62	4.42	0.35～0.94	0.55

测定参数年	硝态氮含量 mg/kg		铵态氮含量mg/kg		速效磷含量mg/kg		速效钾含量mg/kg		交换性钙含量g/kg		交换性镁含量g/kg
测定参数年	范围	均值	范围	均值	范围	均值	范围	均值	范围	均值	范围	均值
2019	19.16～639.81	172.66	21.65～130.90	44.73	84.47～114.82	91.17	116.15～814.10	343.59	2.17～3.63	2.90	0.48～1.21	0.86
2020	9.32～452.45	213.70	0.77～136.20	50.66	45.90～179.22	102.04	185.43～494.80	350.44	2.87～5.93	3.96	0.51～1.13	0.84
2021	65.71～442.00	221.37	7.93～175.67	43.27	30.96～217.76	92.63	101.65～666.10	318.75	2.56～6.14	4.47	0.63～1.35	0.91

测定参数年	硝态氮含量 mg/kg		铵态氮含量mg/kg		速效磷含量mg/kg		速效钾含量mg/kg		交换性钙含量g/kg		交换性镁含量g/kg
测定参数年	范围	均值	范围	均值	范围	均值	范围	均值	范围	均值	范围	均值
2019	11.68～220.51	45.11	10.65～79.39	32.45	87.33～121.64	99.05	152.45～550.55	271.98	1.12～6.29	3.00	0.25～0.92	0.56
2020	2.83～114.91	41.17	2.71～50.94	23.74	35.51～174.45	96.43	98.30～567.05	290.07	2.38～3.32	2.71	0.16～0.96	0.49
2021	29.71～229.51	63.48	15.68～88.15	30.37	51.58～149.99	81.49	99.45～645.05	251.25	2.30～5.12	3.50	0.18～0.96	0.47

测定参数年	硝态氮含量 mg/kg		铵态氮含量mg/kg		速效磷含量mg/kg		速效钾含量mg/kg		交换性钙含量g/kg		交换性镁含量g/kg
测定参数年	范围	均值	范围	均值	范围	均值	范围	均值	范围	均值	范围	均值
2019	29.67～297.00	90.00	14.98～130.01	39.13	50.52～117.94	96.13	290.04～811.83	524.94	2.19～4.26	2.69	0.74～1.42	1.01
2020	15.26～310.69	122.87	7.97～190.19	41.04	44.42～171.65	102.20	300.32～649.32	503.98	2.26～3.97	3.03	0.52～1.33	0.95
2021	63.19～316.10	132.89	1.77～175.50	33.48	32.18～196.83	102.92	121.15～847.20	541.92	2.36～5.69	3.50	0.71～1.79	1.20

Soil Available Macroelements Datasets of Kyoho Vineyards in Liaoning Province

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 5

References 14

Related Articles 4

Metrics

Comments

Recommended 0

[1]	Hongdi Liu, Xiangbin Shi, Hongjun Zhang. Dataset of Soil Physicochemical Properties and Total Mineral Elements Contents of Facility Blueberry in Liaoning in 2017 [J]. Journal of Agricultural Big Data, 2022, 4(3): 103-108.
[2]	Yanqing Li, Zhuang Li, An Yang, Cungang Cheng, Ning Zhang. Dataset of Soil Nutrient Characteristics of Apple Orchard in Suizhong, LiaoNing Province in 2018 [J]. Journal of Agricultural Big Data, 2022, 4(3): 60-63.
[3]	Haiyan Liu, Rong Yang, Tongyu Hou, Wei Zhao, Zhaoqun Yao, Haijiang Wang, Ze Zhang, Pan Gao, Lü Xin. Construction of a Visual Analysis Platform for Microorganism Resources Big Data from Cotton Fields in Xinjiang, China [J]. Journal of Agricultural Big Data, 2021, 3(1): 45-55.
[4]	Jiwei Ran, Xin Li, Yanfang Tian, Lei Wu, Nan Sun, Minggang Xu, Wenju Zhang. A Bibliometric Analysis of the Research Status of Soil Quality Evolution under Different Management Modes [J]. Journal of Agricultural Big Data, 2020, 2(4): 95-106.