AMIGA partners Paul W. Goedhart, Hilko van der Voet (Biometris, Plant Research International DLO, Wageningen University and Research Centre, The Netherlands), Ferdinando Baldacchino and Salvatore Arpaia (ENEA, Italy) have jointly developed the paper “A statistical simulation model for field testing of non-target organisms in environmental risk assessment of genetically modified plants”, which has been released on Ecology and Evolution on March, 14 2014.
After more than one year and a half of intense research activity within the project, AMIGA researchers gathered data on the potential impacts and adverse effects that genetic modification can have on the environment. The paper describes a general framework for simulating data that is typically found in environmental risk assessment of genetically modified plants, to show how this can be used in the design of field experiments.
Research activities on those issues, are increasingly drawing the attention of national bodies and European agencies to the benefits and risks of genetically modified plants (GMPs). This is the main reason why EFSA (European Food Safety Authority) require comparative safety assessments, which can make a comparison between the genetically modified plant and its conventional counterpart.
The EU-funded project AMIGA includes as one of its main objectives the elaboration of statistically well-based protocols for the design and analysis of field trials.
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