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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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Detalles Bibliográficos
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
Descripción
Sumario: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.