当前位置: X-MOL 学术Statistics and Public Policy › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Global Zoning & Exchangeability of Field Trial Residues between Zones: Are there Systematic Differences in Pesticide Residues across Geographies?
Statistics and Public Policy Pub Date : 2019-01-01 , DOI: 10.1080/2330443x.2018.1555068
James Nguyen 1 , Carmen Tiu 2 , Jane Stewart 3 , David Miller 1
Affiliation  

Abstract Mixed-effects models were used to evaluate the global zoning concept using residue data from a comprehensive database of supervised field trials performed in various countries and regions on a variety of pesticide–crop combinations. No statistically significant systematic differences in pesticide residues were found between zones among the pesticide uses examined. In addition, we conducted a simulation to assess the impact of using regional versus global datasets for calculating maximum residue limits (MRLs). The conclusion of this assessment supports the concept of exchangeability of pesticide residue values across geographic regions and opens the possibility of improving harmonization of pesticide regulatory standards by establishing more globally aligned MRLs. Supplemental material for this article is available online.

中文翻译:

区域之间野外试验残留物的全球分区和可交换性:各地区的农药残留量是否存在系统性差异?

摘要混合效应模型用于评估残留物数据,该残留物数据来自在不同国家和地区对多种农药作物组合进行的有监督实地试验的综合数据库中的残留数据。在所检查的农药用途之间,各区域之间的农药残留没有统计上显着的系统差异。此外,我们进行了模拟,以评估使用区域数据集与全局数据集计算最大残留限量(MRL)的影响。该评估的结论支持了跨地理区域农药残留值可互换性的概念,并为通过建立更具全球统一性的最大残留限量提高了农药管理标准的统一性提供了可能性。可在线获取本文的补充材料。
更新日期:2019-01-01
down
wechat
bug