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|Title:||Sampling and Modelling for Quantification of Adventitious GM Presence in Maize|
|Authors:||LANGRELL STEPHEN; ALLNUTT Theodore; DWYER Mark; MCMILLAN Jillian; HENRY Christine|
|Citation:||JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY vol. 56 no. 9 p. 3232-3237|
|Publisher:||AMER CHEMICAL SOC|
|JRC Publication N°:||JRC43503|
|Type:||Articles in Journals|
|Abstract:||The coexistence of GM and non-GM crops is an important economic and political issue in the European Union. We examined the GM content in non-GM maize crops in Spain in 2005. Both the standing crop and the harvest were tested and %GM DNA was quantified by real-time PCR. We compared the level of GM as a function of distance from known GM source fields in a 1.2 Km2 landscape. The distribution of GM was compared to predictions from previous studies and good agreement was found. Control and monitoring of adventitious GM presence in non-GM crops can only be achieved by fit-for-purpose sampling and testing schemes. We used a GM dispersal function to simulate non-GM crops in the studied zone and tested the accuracy of five different sampling schemes. Random sampling was found to be the most accurate and least susceptible to bias by GM spatial structure or gradients. Simulations showed that in order to achieve greater than 95% confidence in a GM labelling decision of a harvest (when treated as a single marketed lot), 34 samples would be needed when the harvest was outside 50% of the GM threshold value. The number of samples required increased rapidly as the harvest approached the GM threshold, implying that accurate labelling when the harvest is within +/-17% of the threshold may not be possible with high confidence.|
|JRC Institute:||Institute for Prospective Technological Studies|
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