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ASSESMENT OF THE SOIL UREASE RESPONSE TO SULFONYLUREA HERBICIDES BASED ON STATISTICAL MODELS

机译:基于统计模型评估土壤脲脲对磺酰脲类除草剂的响应

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The aim of this paper was the evaluation of the ecotoxic effects of three sulphonylurea compounds, commonly used as herbicides against weeds in agriculture by mathematical models. The tests were performed both in laboratory and field conditions to study the changes in soil urease, considered a key enzyme for regulating soil nitrogen transformation and a sensitive indicator to herbicides. Mathematical models accurately reproduced the behavior of urease from chemically treated soil samples, based on real, observable processes. Besides, they simplify the view regarding the activity of the selected enzyme, as there are many factors and complicated biogeochemical processes, which might interfere. Overall, we conclude that, for the cambic chernozem model analyzed here, the normal (label-recommended) chlorsulfuron and amidosulfuron doses do not perturb soil urease activity and the former compound is more urease-friendly than either amidosulfuron or tifensulfuron. In the context of the long-term use of these herbicides, our research underlines the importance of mathematical models and the prefiguration of a map for the differentiation of field / laboratory experiments, for the most accurate highlighting of the biochemical imbalances caused by the chemical substances, the risk of overdose and the toxicity risk for soil and environment.
机译:本文的目的是评估三种磺酰脲类化合物的生态毒性效应,常用于数学模型用作农业中杂草的除草剂。在实验室和现场条件下进行测试,以研究土壤脲酶的变化,被认为是用于调节土壤氮转化的关键酶和除草剂的敏感指标。数学模型基于真实的可观察过程,准确地再现了化学处理过的土壤样品的脲酶的行为。此外,它们简化了关于所选酶的活性的观点,因为存在许多因素和复杂的生物地球化学过程,这可能会干扰。总的来说,我们得出结论,对于在此分析的CAMBIC CHERNOZEM模型,正常(标签推荐)氯磺隆和氨基磺脲类剂量不会扰动土壤脲酶活性,而前化合物比酰胺磺脲或硫脲更脲酶友好。在这些除草剂的长期使用的背景下,我们的研究强调了数学模型的重要性和地图的日本地图的前提率,以便最准确地突出由化学物质引起的生化失调的最准确突出,过量的风险和土壤和环境的毒性风险。

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