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http://dx.doi.org/10.7585/kjps.2013.17.4.293

The Extrapolations to Reduce the Need for Pesticide Residues Trials on Continuous Harvesting Leafy Vegetables  

Son, Kyeong-Ae (National Academy of Agricultural Science, Rural Development Administration)
Im, Geon-Jae (National Academy of Agricultural Science, Rural Development Administration)
Hong, Su-Myeong (National Academy of Agricultural Science, Rural Development Administration)
Kim, Chan Sub (National Academy of Agricultural Science, Rural Development Administration)
Gil, Geun-Hwan (National Academy of Agricultural Science, Rural Development Administration)
Jin, Yong-Duk (National Academy of Agricultural Science, Rural Development Administration)
Kim, Jinba (National Academy of Agricultural Science, Rural Development Administration)
Ihm, Yang Bin (National Academy of Agricultural Science, Rural Development Administration)
Ko, Hyeon Seok (Knowledge & information officer, Rural Development Administration)
Kim, Jang Eok (A School of Applied Bioscience, Kyungpook National University)
Publication Information
The Korean Journal of Pesticide Science / v.17, no.4, 2013 , pp. 293-301 More about this Journal
Abstract
This study was carried out to investigate the pesticide residue pattern among different leafy vegetables applied with foliar spraying under greenhouse and to check extrapolating from some residue trial data to other minor crops. Leafy vegetables used in this study were: Mustard greens (Brassica juncea L.), Kale (Brassica oleracea L.), Dacheongchae (a kind of pak-choi (Brassica rapa subsp. chinensis L.)), Leaf broccoli (Brassica oleracea var alboglabra), Perilla leaf (Perilla frutescens (L.) Britton var. Frutescens), Leaf lettuce (Lactuca sativa L.), Swiss chard (Beta vulgaris L. subsp. vulgaris) and Red leaf chicory (Cichorium intybus L. var. foliosum Hegi). These are cultivated all year under indoor or outdoor and cut the leaf from plant continuously during harvest time. The amounts of pesticide deposit in/on the continuous harvesting leafy vegetables were affected by the ratios of leaf area to weight. Ratio of perilla leaf was the largest among crops as 58 $cm^2/g$. The residue levels of 7 pesticides in/on perilla leaf were the highest than those of other crops through the statistical analysis from zero day to fifth day after last application. The representative crop in 8 crops was perilla leaf selected based on the amounts of daily consumption and the high residues. This study suggest that the continuous harvesting leafy greens should be separated from the one time harvesting leafy vegetables for the pesticide recommendations because of different harvesting habits and pre-harvest intervals.
Keywords
Extrapolation; Perilla leaf; Leafy vegetables; Pesticide residue; Continuous harvesting;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Ripley, B. D., G. M. Ritcey, C. R. Harris, M. A. Denomme and L. I. Lissemore (2003) Comparative persistence of pesticides on selected cultivars of specialty vegetables. Journal of Agricultural and Food Chemistry. 51:1328-1335.   DOI   ScienceOn
2 Son K. -A., H. Y. Kwon, J. B. Kim, Y. -D. Jin, T. -K. Kim, C. S. Kim, G. -H. Gil, G. -J. Im and K. -W. Lee (2012) The residue characteristics of chlorpyrifos in chilli and sweet peppers. The Korean Journal of Pesticide Science. 16:236-241.   과학기술학회마을   DOI   ScienceOn
3 Tomlin C. D. S. (2006) The pesticide manual 14th. British crop production council.
4 United States Environmental Protection Agency(EPA) (1996) Residues chemistry test guidelines OPPTS 860.1500 Crop field trials. http://www.regulations.gov/#!documentDetail;D=EPA-HQ-OPPT-2009-0155-0013.
5 United States EPA (2012) Electronic code of federal regulations Title 40: Protection of Environment. Part 180-Tolerances and exemptions for pesticide chemical residues in food. Subpart B-Procedural Regulations. 180.41 Crop group tables. .
6 Codex Committee on Pesticide Residues (2012) Report of the 44th session of the CCPR- Draft principles and guidance on the selection of representative commodities for the extrapolation of MRLs to commodity groups at Step 8 (REP12/PR-Appendix XI).
7 Korean Society for Horticultural Science (2007) Glossary and Dictionary of Plant Names of Horticultural Crops. Book publication CIR. p. 161-176.
8 Codex Committee on Pesticide Residues (2013) Report of the 45th session of the CCPR- Proposed draft table 2: Examples of selection of representative commodities for vegetable commodity groups and other commodity groups (for inclusion in the principles and guidance for the selection of representative commodities for the extrapolation of maximum residue limits for pesticides to commodity groups) p. 9-11.
9 European Commission (EC) (2011) Guidance document Guidelines on comparability, extrapolation, group tolerances and data requirements for setting MRLs. SANCO 7525/VI/95-rev.9 March 2011. p. 3-34.
10 Korea Rural Economic Institute (2012) 2011 Food balance sheet. pp. 226.
11 Maclachlan, Dugald J and Denis Hamilton (2011) A review of the effect of different application rates on pesticide residue levels in supervised residue trials. Pest Management Science. 67:609-615.   DOI   ScienceOn
12 Organisation for Economic Co-operation and Development (2011) Guidance Document on Crop Field Trials. ENV/JM/MONO(2011)50 pp. 16.
13 Park Jong-Hyouk, M. I. R. Mamun, A. M. Abd EI-Aty, J. -H. Choi, G. -J. Im, Ch.-Hw. Oh and J. -H. Shim (2009) An Extrapolation from crop classifications based on pesticide residues trial data within vegetables in minor crops. The Korean Journal of Pesticide Science. 13:28-38.   과학기술학회마을
14 Reynolds, S. L., R. J. Fussell and R. Macarthur (2005) Investigation into the validity of extrapolation in setting maximum residue levels for pesticides in crops of similar morphology. Food Additives and Contaminants 22:31-38.