Abstract It is imperative that the increase in world agricultural production be carried out in a sustainable way, minimizing negative environmental effects caused, among other reasons, by herbicide use. This study aimed to assess the potential of using soil magnetic signature to identify areas with different sorption capacities of the herbicide imazaquin. A total of 374 soil samples were collected at a depth of 0.0–0.25 m from a grid with sampling density of 1 point every 2.4 ha in an area of 908 ha for determining the organic matter, pH, dithionite and oxalate iron contents, clay content, Freundlich sorption coefficient of the herbicide imazaquin, and magnetic susceptibility (MS). The results were submitted to descriptive statistics and Pearson correlation analysis. Regression models were constructed to estimate the Freundlich sorption coefficient of the herbicide imazaquin from MS. The spatial dependence was assessed by geostatistical analysis and spatial pattern maps and cross-variograms were constructed. MS allows an indirect quantification of imazaquin sorption. Soils with higher magnetic expression have higher sorption potential of imazaquin. Soil magnetic signature can assist in mapping and identifying areas with different potentials of herbicide application.

中文翻译：

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用于识别具有不同咪唑喹吸附潜力的区域的土壤磁特征

摘要 世界农业产量的增加必须以可持续的方式进行，尽量减少除草剂使用等其他原因造成的负面环境影响。本研究旨在评估使用土壤磁性特征识别具有不同除草剂灭草喹吸附能力的区域的潜力。在 0.0-0.25 m 深度的网格中收集了 374 个土壤样品，在 908 公顷的区域内每 2.4 公顷采样 1 个点，用于测定有机质、pH、连二亚硫酸盐和草酸铁含量、粘土含量, 除草剂灭草喹的 Freundlich 吸附系数和磁化率 (MS)。将结果提交给描述性统计和 Pearson 相关分析。构建回归模型以估计来自 MS 的除草剂灭草喹的 Freundlich 吸附系数。通过地质统计分析评估空间依赖性，并构建空间模式图和交叉变异函数。MS 允许间接定量咪唑喹的吸附。具有较高磁表达的土壤对灭草喹的吸附潜力较高。土壤磁性特征可以帮助绘制和识别具有不同除草剂应用潜力的区域。