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Construction of a combined soil quality indicator to assess the effect of glyphosate application

机译:构建综合土壤质量指标以评估草甘膦施用的效果

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Although the use of agrochemicals allowed increasing the crops productivity, in many cases led to soil deterioration. In this study, eight composite samples from different soils of two locations (San Martin and Anta) in Salta, Argentina, were collected and analyzed. All the samples were from loamy Entisols (0-20 cm depth) under reduced tillage without and with direct spray application of glyphosate. Twenty six variables were determined (physical, chemical, and biological soil quality indicators). From them, those of higher specificity and sensitivity to changes following glyphosate application were identified by a stepwise reduction of variables aided by statistical analysis. Samples were grouped regarding location and application of glyphosate, to identify differential effects upon variables, and glyphosate sensitive variables were selected by discarding those influenced by other factors. Thence, they were used to compose a first approximation to a combined soil quality indicator (CSQ1) to assess the effect of glyphosate use in agriculture upon the soil. Overall, the set of physical variables showed the same discriminating structure as the biological set. Finally, two biological, two chemical, and two physical indicators resulted as the most specific to quality variations by the application of the herbicide, being the most sensitive the microbial biomass carbon and the (Aminomethyl)phosphonic add concentration in soil. When these two were considered into a CSQI, it was possible to discriminate samples with the application of glyphosate (lower quality) from those without application (higher quality). To the best of our knowledge, this is the first attempt to propose a CSQI that could play an important role to prevent degradation in soils subjected to glyphosate application, as it could aid in the early detection of soil quality loss. This would provide to land managers a decision tool to let the land rest from glyphosate application, to ensure sustainable practices in agriculture. (C) 2019 Elsevier B.V. All rights reserved.
机译:尽管使用农药可以提高农作物的生产力,但在许多情况下却导致土壤恶化。在这项研究中,收集并分析了阿根廷萨尔塔两个地点(圣马丁和安踏)不同土壤的八个复合样品。所有样品均来自减少耕作的,没有直接喷洒草甘膦的肥沃的Entisols(0-20厘米深度)。确定了26个变量(物理,化学和生物土壤质量指标)。从中,通过逐步减少变量并借助统计分析,可以鉴定出草甘膦施用后对变化具有更高的特异性和敏感性。将草甘膦的位置和应用对样品进行分组,以识别对变量的不同影响,并通过丢弃受其他因素影响的变量来选择草甘膦敏感变量。因此,它们被用来构成综合土壤质量指标(CSQ1)的第一近似值,以评估农业中使用草甘膦对土壤的影响。总体而言,一组物理变量显示出与生物学组相同的区分结构。最后,两种生物指标,两种化学指标和两种物理指标是除草剂对质量变化最具体的指标,是土壤中微生物生物量碳和(氨基甲基)膦酸添加浓度最敏感的指标。当将这两个考虑为CSQI时,可以将使用草甘膦(质量较低)的样品与不使用草甘膦(质量较高)的样品区分开。据我们所知,这是首次提出CSQI的尝试,该CSQI可以在防止草甘膦施用的土壤中降解方面发挥重要作用,因为它有助于早期发现土壤质量损失。这将为土地管理者提供一种决策工具,使土地不再使用草甘膦,以确保农业的可持续实践。 (C)2019 Elsevier B.V.保留所有权利。

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