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Subject

A Statistical Analysis of Pesticide Residues on Leafy Vegetables Selling at Agricultural Wholesale Markets in Gwangju
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광주광역시 농산물도매시장 판매 엽채류에 대한 잔류농약 통계적 분석

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Type
Academic journal
Author
Keunyoung Ryu (광주광역시 보건환경연구원) Jongpil Kim (광주광역시 보건환경연구원) Duckwoong Park (광주광역시 보건환경연구원) Davin Lee (광주광역시 보건환경연구원) Nanju Song (광주광역시 보건환경연구원) Baesik Cho (광주광역시 보건환경연구원) Kyewon Seo (광주광역시 보건환경연구원) Sunhee Kim (광주광역시 보건환경연구원)
Journal
The Korean Society Of Pesticide Science The Korean Journal of Pesticide Science Vol.24 No.1 KCI Accredited Journals
Published
2020.3
Pages
91 - 104 (14page)
DOI
10.7585/kjps.2020.24.1.91

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A Statistical Analysis of Pesticide Residues on Leafy Vegetables Selling at Agricultural Wholesale Markets in Gwangju
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Abstract· Keywords

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This study was conducted to statistically analyze residual pesticides in the leafy vegetables which were sold at the wholesale markets in Gwangju from 2016 to 2018. As the analysis results of pesticide residues in total 4,483 samples, residual pesticides were detected from 827 samples and the detected concentrations in 93 samples exceeded MRLs (spinach 11, radish leaves 11). Residual pesticides were very frequently detected in 101 Chinese chives. The samples of agricultural products collected to practice monitoring of pesticide residues were 1,555 (34.7%) in Gwangju and 1,060 (23.6%) in Naju and they took over the half (58.3%). The frequently detected pesticides are Azoxystrobin (192) and Dimethomorph (124), and the pesticides which exceeded MRLs are Diazinon (13) and Chlorpyrifos (12). The correlation between violation and detection was significant in 2016 and 2018. High detected samples in most of the crops didn’t have a significant correlation with climate factors except for some crops (spinach and temperature, p<0.05; radish leaves and humidity, p<0.01). In addition, the correlation between price and climate factors could be confirmed, but no significant difference in whether the price increase factor affected the increase in pesticide treatment. In this study, it had different correlations in each factor, so it was difficult to think that violation or detection of residual pesticide in agricultural products had a direct relation to the price or climate.

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UCI(KEPA) : I410-ECN-0101-2020-523-000514089