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Appropriate sampling methods and statistics can tell apart fraud from pesticide drift in organic farming
Pesticide residues are much lower in organic than in conventional food. The article summarizes the available residue data from the EU and the U.S. organic market. Differences between samples from several sources suggest that organic products are declared conventional, when they have residues—but the...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8292382/ https://www.ncbi.nlm.nih.gov/pubmed/34285248 http://dx.doi.org/10.1038/s41598-021-93624-8 |
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author | Benzing, Albrecht Piepho, Hans-Peter Malik, Waqas Ahmed Finckh, Maria R. Mittelhammer, Manuel Strempel, Dominic Jaschik, Johannes Neuendorff, Jochen Guamán, Liliana Mancheno, José Melo, Luis Pavón, Omar Cangahuamín, Roberto Ullauri, Juan-Carlos |
author_facet | Benzing, Albrecht Piepho, Hans-Peter Malik, Waqas Ahmed Finckh, Maria R. Mittelhammer, Manuel Strempel, Dominic Jaschik, Johannes Neuendorff, Jochen Guamán, Liliana Mancheno, José Melo, Luis Pavón, Omar Cangahuamín, Roberto Ullauri, Juan-Carlos |
author_sort | Benzing, Albrecht |
collection | PubMed |
description | Pesticide residues are much lower in organic than in conventional food. The article summarizes the available residue data from the EU and the U.S. organic market. Differences between samples from several sources suggest that organic products are declared conventional, when they have residues—but the origin of the residues is not always investigated. A large number of samples are being tested by organic certifiers, but the sampling methods often do not allow to determine if such residues stem from prohibited pesticide use by organic farmers, from mixing organic with conventional products, from short-range spray-drift from neighbour farms, from the ubiquitous presence of such substances due to long-distance drift, or from other sources of contamination. Eight case studies from different crops and countries are used to demonstrate that sampling at different distances from possible sources of short-distance drift in most cases allows differentiating deliberate pesticide application by the organic farmer from drift. Datasets from 67 banana farms in Ecuador, where aerial fungicide spraying leads to a heavy drift problem, were subjected to statistical analysis. A linear discriminant function including four variables was identified for distinguishing under these conditions application from drift, with an accuracy of 93.3%. |
format | Online Article Text |
id | pubmed-8292382 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82923822021-07-22 Appropriate sampling methods and statistics can tell apart fraud from pesticide drift in organic farming Benzing, Albrecht Piepho, Hans-Peter Malik, Waqas Ahmed Finckh, Maria R. Mittelhammer, Manuel Strempel, Dominic Jaschik, Johannes Neuendorff, Jochen Guamán, Liliana Mancheno, José Melo, Luis Pavón, Omar Cangahuamín, Roberto Ullauri, Juan-Carlos Sci Rep Article Pesticide residues are much lower in organic than in conventional food. The article summarizes the available residue data from the EU and the U.S. organic market. Differences between samples from several sources suggest that organic products are declared conventional, when they have residues—but the origin of the residues is not always investigated. A large number of samples are being tested by organic certifiers, but the sampling methods often do not allow to determine if such residues stem from prohibited pesticide use by organic farmers, from mixing organic with conventional products, from short-range spray-drift from neighbour farms, from the ubiquitous presence of such substances due to long-distance drift, or from other sources of contamination. Eight case studies from different crops and countries are used to demonstrate that sampling at different distances from possible sources of short-distance drift in most cases allows differentiating deliberate pesticide application by the organic farmer from drift. Datasets from 67 banana farms in Ecuador, where aerial fungicide spraying leads to a heavy drift problem, were subjected to statistical analysis. A linear discriminant function including four variables was identified for distinguishing under these conditions application from drift, with an accuracy of 93.3%. Nature Publishing Group UK 2021-07-20 /pmc/articles/PMC8292382/ /pubmed/34285248 http://dx.doi.org/10.1038/s41598-021-93624-8 Text en © The Author(s) 2021, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Benzing, Albrecht Piepho, Hans-Peter Malik, Waqas Ahmed Finckh, Maria R. Mittelhammer, Manuel Strempel, Dominic Jaschik, Johannes Neuendorff, Jochen Guamán, Liliana Mancheno, José Melo, Luis Pavón, Omar Cangahuamín, Roberto Ullauri, Juan-Carlos Appropriate sampling methods and statistics can tell apart fraud from pesticide drift in organic farming |
title | Appropriate sampling methods and statistics can tell apart fraud from pesticide drift in organic farming |
title_full | Appropriate sampling methods and statistics can tell apart fraud from pesticide drift in organic farming |
title_fullStr | Appropriate sampling methods and statistics can tell apart fraud from pesticide drift in organic farming |
title_full_unstemmed | Appropriate sampling methods and statistics can tell apart fraud from pesticide drift in organic farming |
title_short | Appropriate sampling methods and statistics can tell apart fraud from pesticide drift in organic farming |
title_sort | appropriate sampling methods and statistics can tell apart fraud from pesticide drift in organic farming |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8292382/ https://www.ncbi.nlm.nih.gov/pubmed/34285248 http://dx.doi.org/10.1038/s41598-021-93624-8 |
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