机构地区:[1]宁夏回族自治区国土资源调查监测院,宁夏银川750002 [2]中国科学院南京土壤研究所土壤环境与污染修复重点实验室,江苏南京210008 [3]北方民族大学生物科学与工程学院,宁夏银川750021 [4]中国地质调查局成都地质调查中心,四川成都610081
出 处:《中国地质》2024年第4期1319-1330,共12页Geology in China
基 金:宁夏自然科学基金项目(2021AAC03424);宁夏财政计划项目(宁夏国土监项[2021]002号)联合资助。
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 km^(2)。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、Fe_(2)O_(3)、K_(2)O、SiO_(2)/Al_(2)O_(3)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。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 km^(2).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,Fe_(2)O_(3),K_(2)O,SiO_(2)/Al_(2)O_(3) in rhizosphere soils.Neural network model can construct a reliable prediction model,which can be used as a method to explore suitable cultiv
关 键 词:富锌小麦 农用地 土壤 锌(Zn) 预测模型 农业地质调查工程 卫宁平原 宁夏
分 类 号:S153[农业科学—土壤学] S512.1[农业科学—农业基础科学]
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