Author
Eric G. Lamb (a1) and Helen M. Booker (a1)
Abstract
The detection and quantification of the prevalence of genetically modified organism (GM) contamination in seed exports is a critical element of regulatory compliance. While the procedures to reliably detect high levels of GM contamination are well understood, no comparable statistical approaches are available for the quantification of levels of GM prevalence below the established detection rate of standard tests. We present a simple statistical approach based on simulation modelling for the quantification of low levels of GM contamination. The approach can be modified to match any sampling regime and can account for rates of false positive and negative assay results. The application of this method is demonstrated using the low level of contamination in Canadian flax breeder seed lots by the GM flax variety ‘Triffid’. We show that GM contamination is likely present in seed lots at rates between two GM seeds per million and six seeds per hundred thousand. We also show that this low level of presumed contamination is indistinguishable from the number of positive tests expected from a clean seed lot given the potential rates of false positive tests.
Linked References
For further details log on website :
https://www.cambridge.org/core/journals/seed-science-research/article/quantification-of-lowlevel-genetically-modified-gm-seed-presence-in-large-seed-lots-a-case-study-of-gm-seed-in-canadian-flax-breeder-seed-lots/1FC5294528B4A1F78CA39CC1D36C271E
Eric G. Lamb (a1) and Helen M. Booker (a1)
- DOI: https://doi.org/10.1017/S0960258511000213
- Published online: 05 August 2011
Abstract
The detection and quantification of the prevalence of genetically modified organism (GM) contamination in seed exports is a critical element of regulatory compliance. While the procedures to reliably detect high levels of GM contamination are well understood, no comparable statistical approaches are available for the quantification of levels of GM prevalence below the established detection rate of standard tests. We present a simple statistical approach based on simulation modelling for the quantification of low levels of GM contamination. The approach can be modified to match any sampling regime and can account for rates of false positive and negative assay results. The application of this method is demonstrated using the low level of contamination in Canadian flax breeder seed lots by the GM flax variety ‘Triffid’. We show that GM contamination is likely present in seed lots at rates between two GM seeds per million and six seeds per hundred thousand. We also show that this low level of presumed contamination is indistinguishable from the number of positive tests expected from a clean seed lot given the potential rates of false positive tests.
Linked References
This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.
M.J. Crawley (2007) The R Book. Chichester, UK, John Wiley & Sons.
https://www.cambridge.org/core/journals/seed-science-research/article/quantification-of-lowlevel-genetically-modified-gm-seed-presence-in-large-seed-lots-a-case-study-of-gm-seed-in-canadian-flax-breeder-seed-lots/1FC5294528B4A1F78CA39CC1D36C271E
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