Appropriate sampling methods and statistics can tell apart fraud from pesticide drift in organic farming

Abstract 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 residue...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Albrecht Benzing, Hans-Peter Piepho, Waqas Ahmed Malik, Maria R. Finckh, Manuel Mittelhammer, Dominic Strempel, Johannes Jaschik, Jochen Neuendorff, Liliana Guamán, José Mancheno, Luis Melo, Omar Pavón, Roberto Cangahuamín, Juan-Carlos Ullauri
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a1975fe9d4c64410a594f0afcf980600
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:a1975fe9d4c64410a594f0afcf980600
record_format	dspace
spelling	oai:doaj.org-article:a1975fe9d4c64410a594f0afcf9806002021-12-02T16:17:17ZAppropriate sampling methods and statistics can tell apart fraud from pesticide drift in organic farming10.1038/s41598-021-93624-82045-2322https://doaj.org/article/a1975fe9d4c64410a594f0afcf9806002021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93624-8https://doaj.org/toc/2045-2322Abstract 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%.Albrecht BenzingHans-Peter PiephoWaqas Ahmed MalikMaria R. FinckhManuel MittelhammerDominic StrempelJohannes JaschikJochen NeuendorffLiliana GuamánJosé ManchenoLuis MeloOmar PavónRoberto CangahuamínJuan-Carlos UllauriNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Albrecht Benzing Hans-Peter Piepho Waqas Ahmed Malik Maria R. Finckh Manuel Mittelhammer Dominic Strempel Johannes Jaschik Jochen Neuendorff Liliana Guamán José Mancheno Luis Melo Omar Pavón Roberto Cangahuamín Juan-Carlos Ullauri Appropriate sampling methods and statistics can tell apart fraud from pesticide drift in organic farming
description	Abstract 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	article
author	Albrecht Benzing Hans-Peter Piepho Waqas Ahmed Malik Maria R. Finckh Manuel Mittelhammer Dominic Strempel Johannes Jaschik Jochen Neuendorff Liliana Guamán José Mancheno Luis Melo Omar Pavón Roberto Cangahuamín Juan-Carlos Ullauri
author_facet	Albrecht Benzing Hans-Peter Piepho Waqas Ahmed Malik Maria R. Finckh Manuel Mittelhammer Dominic Strempel Johannes Jaschik Jochen Neuendorff Liliana Guamán José Mancheno Luis Melo Omar Pavón Roberto Cangahuamín Juan-Carlos Ullauri
author_sort	Albrecht Benzing
title	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_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_sort	appropriate sampling methods and statistics can tell apart fraud from pesticide drift in organic farming
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/a1975fe9d4c64410a594f0afcf980600
work_keys_str_mv	AT albrechtbenzing appropriatesamplingmethodsandstatisticscantellapartfraudfrompesticidedriftinorganicfarming AT hanspeterpiepho appropriatesamplingmethodsandstatisticscantellapartfraudfrompesticidedriftinorganicfarming AT waqasahmedmalik appropriatesamplingmethodsandstatisticscantellapartfraudfrompesticidedriftinorganicfarming AT mariarfinckh appropriatesamplingmethodsandstatisticscantellapartfraudfrompesticidedriftinorganicfarming AT manuelmittelhammer appropriatesamplingmethodsandstatisticscantellapartfraudfrompesticidedriftinorganicfarming AT dominicstrempel appropriatesamplingmethodsandstatisticscantellapartfraudfrompesticidedriftinorganicfarming AT johannesjaschik appropriatesamplingmethodsandstatisticscantellapartfraudfrompesticidedriftinorganicfarming AT jochenneuendorff appropriatesamplingmethodsandstatisticscantellapartfraudfrompesticidedriftinorganicfarming AT lilianaguaman appropriatesamplingmethodsandstatisticscantellapartfraudfrompesticidedriftinorganicfarming AT josemancheno appropriatesamplingmethodsandstatisticscantellapartfraudfrompesticidedriftinorganicfarming AT luismelo appropriatesamplingmethodsandstatisticscantellapartfraudfrompesticidedriftinorganicfarming AT omarpavon appropriatesamplingmethodsandstatisticscantellapartfraudfrompesticidedriftinorganicfarming AT robertocangahuamin appropriatesamplingmethodsandstatisticscantellapartfraudfrompesticidedriftinorganicfarming AT juancarlosullauri appropriatesamplingmethodsandstatisticscantellapartfraudfrompesticidedriftinorganicfarming
_version_	1718384247080747008

Appropriate sampling methods and statistics can tell apart fraud from pesticide drift in organic farming

Ejemplares similares