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Modeling gene flow distribution within conventional fields and development of a simplified sampling method to quantify adventitious GM contents in maize

Genetically modified (GM) crops have been commercially grown for two decades. GM maize is one of 3 species with the highest acreage and specific events. Many countries established a mandatory labeling of products containing GM material, with thresholds for adventitious presence, to support consumers...

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Autores principales: Melé, Enric, Nadal, Anna, Messeguer, Joaquima, Melé-Messeguer, Marina, Palaudelmàs, Montserrat, Peñas, Gisela, Piferrer, Xavier, Capellades, Gemma, Serra, Joan, Pla, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4656998/
https://www.ncbi.nlm.nih.gov/pubmed/26596213
http://dx.doi.org/10.1038/srep17106
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author Melé, Enric
Nadal, Anna
Messeguer, Joaquima
Melé-Messeguer, Marina
Palaudelmàs, Montserrat
Peñas, Gisela
Piferrer, Xavier
Capellades, Gemma
Serra, Joan
Pla, Maria
author_facet Melé, Enric
Nadal, Anna
Messeguer, Joaquima
Melé-Messeguer, Marina
Palaudelmàs, Montserrat
Peñas, Gisela
Piferrer, Xavier
Capellades, Gemma
Serra, Joan
Pla, Maria
author_sort Melé, Enric
collection PubMed
description Genetically modified (GM) crops have been commercially grown for two decades. GM maize is one of 3 species with the highest acreage and specific events. Many countries established a mandatory labeling of products containing GM material, with thresholds for adventitious presence, to support consumers’ freedom of choice. In consequence, coexistence systems need to be introduced to facilitate commercial culture of GM and non-GM crops in the same agricultural area. On modeling adventitious GM cross-pollination distribution within maize fields, we deduced a simple equation to estimate overall GM contents (%GM) of conventional fields, irrespective of its shape and size, and with no previous information on possible GM pollen donor fields. A sampling strategy was designed and experimentally validated in 19 agricultural fields. With 9 samples, %GM quantification requires just one analytical GM determination while identification of the pollen source needs 9 additional analyses. A decision support tool is provided.
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spelling pubmed-46569982015-11-30 Modeling gene flow distribution within conventional fields and development of a simplified sampling method to quantify adventitious GM contents in maize Melé, Enric Nadal, Anna Messeguer, Joaquima Melé-Messeguer, Marina Palaudelmàs, Montserrat Peñas, Gisela Piferrer, Xavier Capellades, Gemma Serra, Joan Pla, Maria Sci Rep Article Genetically modified (GM) crops have been commercially grown for two decades. GM maize is one of 3 species with the highest acreage and specific events. Many countries established a mandatory labeling of products containing GM material, with thresholds for adventitious presence, to support consumers’ freedom of choice. In consequence, coexistence systems need to be introduced to facilitate commercial culture of GM and non-GM crops in the same agricultural area. On modeling adventitious GM cross-pollination distribution within maize fields, we deduced a simple equation to estimate overall GM contents (%GM) of conventional fields, irrespective of its shape and size, and with no previous information on possible GM pollen donor fields. A sampling strategy was designed and experimentally validated in 19 agricultural fields. With 9 samples, %GM quantification requires just one analytical GM determination while identification of the pollen source needs 9 additional analyses. A decision support tool is provided. Nature Publishing Group 2015-11-24 /pmc/articles/PMC4656998/ /pubmed/26596213 http://dx.doi.org/10.1038/srep17106 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Melé, Enric
Nadal, Anna
Messeguer, Joaquima
Melé-Messeguer, Marina
Palaudelmàs, Montserrat
Peñas, Gisela
Piferrer, Xavier
Capellades, Gemma
Serra, Joan
Pla, Maria
Modeling gene flow distribution within conventional fields and development of a simplified sampling method to quantify adventitious GM contents in maize
title Modeling gene flow distribution within conventional fields and development of a simplified sampling method to quantify adventitious GM contents in maize
title_full Modeling gene flow distribution within conventional fields and development of a simplified sampling method to quantify adventitious GM contents in maize
title_fullStr Modeling gene flow distribution within conventional fields and development of a simplified sampling method to quantify adventitious GM contents in maize
title_full_unstemmed Modeling gene flow distribution within conventional fields and development of a simplified sampling method to quantify adventitious GM contents in maize
title_short Modeling gene flow distribution within conventional fields and development of a simplified sampling method to quantify adventitious GM contents in maize
title_sort modeling gene flow distribution within conventional fields and development of a simplified sampling method to quantify adventitious gm contents in maize
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4656998/
https://www.ncbi.nlm.nih.gov/pubmed/26596213
http://dx.doi.org/10.1038/srep17106
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