2017
Estimating the probability of exceeding the maximum residue limit for Japanese tea using a crop residue model
JOURNAL OF PESTICIDE SCIENCE
- ,
- ,
- Volume
- 42
- Number
- 1-2
- First page
- 32
- Last page
- 38
- Language
- English
- Publishing type
- Research paper (scientific journal)
- DOI
- 10.1584/jpestics.D16-090
- Publisher
- 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
- Link information
-
- DOI
- https://doi.org/10.1584/jpestics.D16-090
- J-GLOBAL
- https://jglobal.jst.go.jp/en/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
- ID information
-
- DOI : 10.1584/jpestics.D16-090
- ISSN : 1348-589X
- eISSN : 1349-0923
- J-Global ID : 201702257014632178
- Web of Science ID : WOS:000404321100005