Geochemical characteristics of zinc in soil and prediction of Zn−rich wheat cultivating areas in Weining Plain, Northwest China

LIU Zhijian; ZHANG Xiu; DONG Yuanhua; QING Chengshi; CHENG Xia; ZHAO Wanfu; LI Xiaohui; SANG Li; HAI Long

doi:10.12029/gc20220705002

2024 Vol. 51, No. 4

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LIU Zhijian, ZHANG Xiu, DONG Yuanhua, QING Chengshi, CHENG Xia, ZHAO Wanfu, LI Xiaohui, SANG Li, HAI Long. 2024. Geochemical characteristics of zinc in soil and prediction of Zn−rich wheat cultivating areas in Weining Plain, Northwest China[J]. Geology in China, 51(4): 1319-1330. doi: 10.12029/gc20220705002

Citation:

LIU Zhijian, ZHANG Xiu, DONG Yuanhua, QING Chengshi, CHENG Xia, ZHAO Wanfu, LI Xiaohui, SANG Li, HAI Long. 2024. Geochemical characteristics of zinc in soil and prediction of Zn−rich wheat cultivating areas in Weining Plain, Northwest China[J]. Geology in China, 51(4): 1319-1330. doi: 10.12029/gc20220705002

Geochemical characteristics of zinc in soil and prediction of Zn−rich wheat cultivating areas in Weining Plain, Northwest China

1.
Ningxia Survey and Monitor Institute of Land and Resources, Yinchuan 750002, Ningxia, China
2.
Key Laboratory of Soil Environment and Contamination Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, Jiangsu, China
3.
School of Biological Science and Engineering, North Minzu University, Yinchuan 750021, Ningxia, China
4.
Chengdu Center of China Geological Survey, Chengdu 610081, Sichuan, China

Fund Project: Supported by the Natural Science Foundation of Ningxia (No.2021AAC03424) and Ningxia Financial Planning Project (Ningxia Land Supervision Project [2021]002).

More Information

Author Bio: LIU Zhijian, male, born in 1987, master, senior engineer, engaged in the research of environmental geology; E-mail: Pannotia@qq.com

Received Date: 05 July 2022

Revised Date: 28 November 2022

Publish Date: 25 July 2024

Abstract

Abstract

This paper is the result of agricultural geological survey engineering.
Objective
Most of the food crops are low in zinc and it is difficult for humans to obtain sufficient zinc through the normal diet. Land quality geochemical survey, as nature−based solutions, is the best scheme to find the suitable region for cultivating zinc−rich crops.
Methods
This study takes agricultural land in Weining Plain of Ningxia as the research region, geochemical data of surface soils, wheat seeds and rhizosphere soils of agricultural lands were obtained through land quality geochemical survey, the geochemical characteristics of zinc in surface soil and wheat seed were studied, and the influencing factors of zinc enrichment in wheat seed were explored. The interval value of zinc content in zinc−rich wheat was calculated based on the nutritional structure of healthy diet in China and the reference intake of dietary nutrients in residents.
Results
In the research region, the range of zinc content in surface soils was 25.1 mg/kg to 102.0 mg/kg, and the background value of surface soil was 61.4 mg/kg. The range of zinc content in wheat seeds was 13.34 mg/kg to 37.78 mg/kg, the average content was mg/kg, and the averagebio−enrichment coefficient was 0.41. The range of zinc content in Zn−enriched wheat was 26.5 to 50.0 mg/kg, and the proportion of zinc enriched wheat seeds in the research region was 36.7%.Based on the neural network model, we predicted that the region of agricultural lands, which were suitable for cultivating zinc enriched wheat in Wei Ning Plain, was 242.86 km².
Conclusions
The spatial distribution of zinc in the surface soil of the research region was relatively uniform and was mainly controlled by soil parent materials. The zinc enrichment ability of wheat seeds was medium. The zinc enrichment ability of wheat seeds is significantly correlated with Zn, Fe₂O₃, K₂O, SiO₂/Al₂O₃ in rhizosphere soils. Neural network model can construct a reliable prediction model, which can be used as a method to explore suitable cultivating regions for beneficial micronutrient enrichment crops through geochemical survey data.
- Zn−rich wheat; agricultural land /
- soil /
- Zn /
- prediction model /
- agricultural geological survey engineering /
- Weining plain /
- Ningxia

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References

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