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Other publication2013

An algorithm for the identification of genetically modified animals

Forabosco, Flavio; Sundström, L.F.; Rydhmer, Lotta

Abstract

The diffusion of genetically modified (GM) animals has generated a demand for accurate and unique identification to assure compliance with relevant national and international legislation. Individual identification of GM animals is essential to improve safety and traceability, as well as to fulfill the present and future expectations of producers, consumers, and authorities.

Published in

Trends in Biotechnology
2013, Volume: 31, number: 5, pages: 272-274

      SLU Authors

    • Sustainable Development Goals

      SDG2 End hunger, achieve food security and improved nutrition and promote sustainable agriculture

      UKÄ Subject classification

      Genetics and Breeding

      Publication identifier

      DOI: https://doi.org/10.1016/j.tibtech.2013.02.001

      Permanent link to this page (URI)

      https://res.slu.se/id/publ/41489