論文

2017年

Estimating the probability of exceeding the maximum residue limit for Japanese tea using a crop residue model

JOURNAL OF PESTICIDE SCIENCE
  • Yuki Shiga
  • ,
  • Haruko Yamaguchi
  • ,
  • Akihiro Tokai

42
1-2
開始ページ
32
終了ページ
38
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1584/jpestics.D16-090
出版者・発行元
PESTICIDE SCI SOC JAPAN

Maximum residue limits (MRLs) for pesticides in export countries from Japan often become a trade barrier for Japanese tea. The purpose of this study is to develop a probabilistic risk estimation method for pesticide residues in green tea. First, we developed a model to estimate the pesticide residue level in green tea. Second, we introduced a regression model for pesticide half-lives on plants, one of the most critical parameters in the model. Finally, we estimated the time-course change of the distribution of the residue level by setting the probability distribution to the half-lives on tea leaves. Applying the model to three pesticides, acet-amiprid, dinotefuran, and thiamethoxam, we suggested that the pre-harvest interval of thiamethoxam should be increased by three weeks for export to Taiwan. For EU nations, the MRL excess probabilities of acetamiprid and dinotefuran were measured as 99.6% and 99.5%, respectively, even 28 days after spraying. (c) Pesticide Science Society of Japan

Web of Science ® 被引用回数 : 2

リンク情報
DOI
https://doi.org/10.1584/jpestics.D16-090
J-GLOBAL
https://jglobal.jst.go.jp/detail?JGLOBAL_ID=201702257014632178
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000404321100005&DestApp=WOS_CPL
URL
http://jglobal.jst.go.jp/public/201702257014632178

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