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The Establishment of Genetically Engineered Canola Populations in the U.S.

Overview of attention for article published in PLOS ONE, October 2011
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Title
The Establishment of Genetically Engineered Canola Populations in the U.S.
Published in
PLOS ONE, October 2011
DOI 10.1371/journal.pone.0025736
Pubmed ID
Authors

Meredith G. Schafer, Andrew A. Ross, Jason P. Londo, Connie A. Burdick, E. Henry Lee, Steven E. Travers, Peter K. Van de Water, Cynthia L. Sagers

Abstract

Concerns regarding the commercial release of genetically engineered (GE) crops include naturalization, introgression to sexually compatible relatives and the transfer of beneficial traits to native and weedy species through hybridization. To date there have been few documented reports of escape leading some researchers to question the environmental risks of biotech products. In this study we conducted a systematic roadside survey of canola (Brassica napus) populations growing outside of cultivation in North Dakota, USA, the dominant canola growing region in the U.S. We document the presence of two escaped, transgenic genotypes, as well as non-GE canola, and provide evidence of novel combinations of transgenic forms in the wild. Our results demonstrate that feral populations are large and widespread. Moreover, flowering times of escaped populations, as well as the fertile condition of the majority of collections suggest that these populations are established and persistent outside of cultivation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 2%
Germany 1 <1%
Italy 1 <1%
India 1 <1%
United Kingdom 1 <1%
Peru 1 <1%
Spain 1 <1%
Unknown 107 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 18%
Student > Bachelor 15 13%
Student > Master 14 12%
Student > Ph. D. Student 12 10%
Other 9 8%
Other 17 15%
Unknown 27 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 44%
Biochemistry, Genetics and Molecular Biology 11 10%
Environmental Science 9 8%
Social Sciences 2 2%
Engineering 2 2%
Other 8 7%
Unknown 32 28%