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Incorporating Collateral Information Using an Adaptive Management Framework for the Regulation of Transgenic Crops AgEcon
Linacre, Nicholas A.; Burgman, Mark A.; Ades, Peter K.; Stewart-Oaten, Allen.
A lack of data often makes biological management decisions difficult and has been an area of contention in the debate over the approval of transgenic crops. Our knowledge of natural systems is limited and our ability to gain additional information, quickly and effectively, is often handicapped by statistical complexity. To adequately cope with this requires new approaches and models that integrate decision-making and management. This paper describes one possible approach to the integration of decision-making and management, which may have application for the regulatory approval of transgenic crops. In many situations countries wishing to approve transgenic crops will have limited data on the environmental performance of the crop. The approach outlined in...
Tipo: Working or Discussion Paper Palavras-chave: Bayesian estimation; Collateral data; Inference; GMO; Transgenic plants; Bayesian theory; Biotechnology; Biosafety; Regulatory systems; Crop Production/Industries.
Ano: 2005 URL: http://purl.umn.edu/59233
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