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    刘志坚,张琇,董元华,卿成实,程霞,赵万伏,李晓慧,桑立,海龙. 2024. 宁夏卫宁平原土壤锌地球化学特征与富锌小麦种植区预测[J]. 中国地质, 51(4): 1319−1330. DOI: 10.12029/gc20220705002
    引用本文: 刘志坚,张琇,董元华,卿成实,程霞,赵万伏,李晓慧,桑立,海龙. 2024. 宁夏卫宁平原土壤锌地球化学特征与富锌小麦种植区预测[J]. 中国地质, 51(4): 1319−1330. DOI: 10.12029/gc20220705002
    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

    宁夏卫宁平原土壤锌地球化学特征与富锌小麦种植区预测

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

    • 摘要:
      研究目的 大部分粮食作物锌含量较低,人体难以从正常的膳食结构中获取足够的锌元素。通过开展土地质量地球化学调查,探寻种植富锌作物的适宜区域,是基于自然途径使作物达到富锌标准的最优方案。
      研究方法 本研究以宁夏卫宁平原农业用地为研究区,基于土地质量地球化学调查所获取的农用地表层土壤、小麦籽实及其根系土中元素地球化学数据,研究了表层土壤、小麦籽实Zn地球化学特征,探究了小麦籽实富集Zn的影响因素;以中国健康膳食营养结构与居民膳食营养素参考摄入量为基准,推算出富锌小麦锌含量区间值。
      研究结果 研究区表层土壤Zn含量范围25.1~102.0 mg/kg,背景值61.4 mg/kg;研究区小麦籽实Zn含量范围13.34~37.78 mg/kg,平均值24.72 mg/kg,生物富集系数(BCF)平均值0.41;富锌小麦Zn含量取值范围为26.5~50.0 mg/kg,研究区小麦籽实的富锌比例为36.7%;基于神经网络模型预测出卫宁平原适宜种植富锌小麦的农用地面积为242.86 km2
      结论 研究区表层土壤Zn空间分布较为均匀且主要受到成土母质控制;小麦籽实富集Zn的能力为中等,土壤Zn、Fe2O3、K2O、SiO2/Al2O3与小麦籽实Zn具有显著相关关系;神经网络模型能构建出可靠的预测模型,可以作为基于地球化学调查数据探寻有益微量元素富集作物种植适宜区的方法。

       

      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.

       

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