预测后续叶菜中农药浓度的模拟模型(种后-土壤)[j]。用生长室内植物吸收的实验数据进行验证

IF 1.5 4区 农林科学 Q2 ENTOMOLOGY
Sayuri Namiki, Keiya Inao, Yutaka Motoki, Nobuyasu Seike, Eiki Watanabe
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引用次数: 0

摘要

我们验证了一个模拟模型(PostPLANT-Soil),用于预测本系列第一篇论文中报道的后续叶类蔬菜中的农药浓度,其中包括农药在植物根系中的吸收过程。利用生长室内植物吸收研究的实测数据对模型进行验证,模型成功地模拟了植物枝条中农药浓度的变化。然而,与实测值相比,几种农药的模拟芽浓度被高估了。从水培条件下的吸收研究结果来看,本研究中使用的叶菜(Brassica rapa)可能对杀菌剂氟托拉尼具有较高的代谢能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A simulation model (PostPLANT-Soil) for predicting pesticide concentrations in succeeding leafy vegetables: II. Validation with experimental data on plant uptake in a growth chamber
We validated a simulation model (PostPLANT-Soil) for predicting pesticide concentrations in succeeding leafy vegetables reported in our first paper in this series, which includes the pesticide sorption process into plant roots. As a result of the model validation with the measured data from a plant uptake study in a growth chamber, the model successfully simulated the concentration changes of pesticides in a plant shoot. However, the simulated shoot concentrations for several pesticides were overestimated compared to the measured values. The leafy vegetable (Brassica rapa) used in this study probably has a high metabolic ability for the fungicide flutolanil from the result of the uptake study under a hydroponic condition.
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来源期刊
Journal of Pesticide Science
Journal of Pesticide Science 农林科学-昆虫学
CiteScore
4.30
自引率
4.20%
发文量
28
审稿时长
18-36 weeks
期刊介绍: The Journal of Pesticide Science publishes the results of original research regarding the chemistry and biochemistry of pesticides including bio-based materials. It also covers their metabolism, toxicology, environmental fate and formulation.
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