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基于土壤的物理化学性质和物种化的多变量模型来预测作物含量

Boxin Feng¹, Liming Gan², Qianni Men¹

¹Xi'an Center of Mineral Resources Survey, China Geological Survey, Xi'an, 710100, Shanxi, China.

Environmental monitoring and assessment

|July 4, 2025

概括

土壤化物 (F) 含量较高并不意味着作物吸收率较高. 土壤中的残留F限制了土壤的流动性,使小麦保持安全. 一个模型使用土壤属性和水溶性F预测F的积累.

科学领域:

环境科学环境科学
农业化学农业化学
地质化学地质化学

背景情况:

化物 (F) 是一种必不可少的微量元素,当其生物地化学循环被破坏时,它会带来重大的生态风险.
使用总土壤F含量来评估作物化物生物可用性具有局限性.
土壤作物系统容易受到化物污染的影响,影响农业的可持续性.

研究的目的:

调查化物在农业土壤和小麦中的物种化和生物利用性.
为了评估预测作物化物积累的总土壤化物的局限性.
根据土壤特性开发小麦化物含量的预测模型.

主要方法:

对30个配对的农业土壤-小麦样本进行了系统的调查.
序列提取以确定土壤中的化物物种化.
多变量分析以确定控制小麦中化物积累的因素.

主要成果:

剩余的化物是土壤中占主导地位的物种化 (79.5-99.04%),限制了环境的流动性.
表面土壤的总化物含量较高 (平均753.3毫克/公斤-1),但小麦粒仍处于安全水平 (平均1.2毫克/公斤-1).
一个强大的多变量模型 (R2 = 0.72) 整合水溶性F,CaO,Mn,Al_ox-Fe_ox,P和pH有效预测小麦化物积累.

结论:

土壤中化物总含量不是小麦中化物生物可用性的可靠指标.
水溶性化物,以及CaO,Mn,Al_ox-Fe_ox,P和pH等土壤特性,是小麦化物积累的关键预测因素.
这些发现支持在化物受影响地区绿色农业的科学战略.

关键词:

化物的化物.预测方程预测方程规格规格规格规格周济地区周济地区

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