Journal of Regulatory Science · 2021 · 12 citations · 12 references
AgricultureBiotechnologyPlant SciencesPlant BiotechnologyRisk AssessmentTransgenic CropsAgricultural Risk AssessmentAgricultural Risk ManagementRegulatory Frameworks For Transgenic CropsRisk CharacterizationBiosafety EvaluationEnvironmental Harm MeasurementEnvironmental Safety AssessmentField Evaluation Of Transgenic CropsPotential Environmental ImpactRegulatory Assessment Of Transgenic CropsRegulatory Decision SupportTransportability
Laboratory and field data generated on genetically modified (GM) plants in one country can inform the environmental risk assessment and support regulatory decision-making for GM plants being cultivated in another country. Well-designed studies that test clear risk hypotheses and that follow well-established methods allow for conclusions to be made about potential environmental effects from cultivation of a GM plant relative to its conventional counterparts. Following the principle of data transportability, if no biologically relevant differences between a GM plant and its conventional counterparts are observed in one country or region, data from these studies can be used to inform the risk assessment in another country, regardless of agroclimatic zone. Similarly, if biologically relevant differences are observed in studies conducted in one country, these data can be used to assess potential environmental harm in another country. Gathering additional data for the ERA in a different country or in expanded regions may increase the weight of evidence of environmental safety, but additional field study data are only warranted if specific hypotheses of risk remain after assessing risk based on the existing data, and if they would affect the outcome of decision-making. Transportation of product data across regions has been successfully used by multiple countries to eliminate redundancy, create regulatory efficiencies and enable timely realization of the benefits of GM plants. doi: 10.21423/jrs-v09i1bachman
12
Jörg Romeis, Richard L. Hellmich, M. P. Candolfi et al. · Transgenic Research · 2010 · 229 citations · Full text