02156naa a2200277 a 450000100080000000500110000800800410001902400280006010000170008824501840010526000090028952012760029865000200157465000190159465000110161365300200162470000170164470000210166170000200168270000200170270000150172270000150173770000210175270000130177377300920178619730782017-10-16       2014    bl uuuu     u00u1 u    #d7 a10.4161/gmcr.265602DOI1 aCARSTENS, K.  aSurrogate species selection for assessing potential adverse environmental impacts of genetically engineered insect-resistant plants on non-target organisms.h[electronic resource]  c2014  aMost regulatory authorities require that developers of genetically engineered insect-resistant (Gei R) crops evaluate the potential for these crops to have adverse impacts on valued non-target organisms (NTOs), i.e., organisms not intended to be controlled by the trait. in many cases, impacts to NTOs are assessed using surrogate species, and it is critical that the data derived from surrogates accurately predict any adverse impacts likely to be observed from the use of the crop in the agricultural context. The key is to select surrogate species that best represent the valued NTOs in the location where the crop is going to be introduced, but this selection process poses numerous challenges for the developers of Ge crops who will perform the tests, as well as for the ecologists and regulators who will interpret the test results. These issues were the subject of a conference “Surrogate Species Selection for Assessing Potential Adverse environmental impacts of Genetically engineered Plants on Non-Target Organisms” convened by the Center for environmental Risk Assessment, ILSI Research Foundation. This report summarizes the proceedings of the conference, including the presentations, discussions and the points of consensus agreed to by the participants.  aRisk assessment  aBiossegurança  aInseto  aRisco ambiental1 aCAYABYAB, B.1 aSCHRIJVER, A. de1 aGADALETA, P. G.1 aHELLMICH, R. L.1 aROMEIS, J.1 aSTORER, N.1 aVALICENTE, F. H.1 aWACH, M.  tGM Crops and Food: Biotechnology in Agriculture and the Food Chaingv. 5, p. 1-5, 2014.