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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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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. |
format | Online Article Text |
id | pubmed-4656998 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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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