WFRF:(Rydhmer Lotta)
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- Forabosco, FlavioSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för husdjursgenetik (HGEN),Department of Animal Breeding and Genetics (author)
An algorithm for the identification of genetically modified animals
- BookEnglish2013
Publisher, publication year, extent ...
- Elsevier BV,2013
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- LIBRIS-ID:oai:slubar.slu.se:41489
- https://res.slu.se/id/publ/41489URI
- https://doi.org/10.1016/j.tibtech.2013.02.001DOI
- https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-201408URI
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- Language:English
- Summary in:English
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- 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.
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- Rydhmer, LottaSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för husdjursgenetik (HGEN),Department of Animal Breeding and Genetics(Swepub:slu)49315 (author)
- Sundström, Fredrik L.Uppsala universitet,Zooekologi(Swepub:uu)fredsund (author)
- Sveriges lantbruksuniversitetInstitutionen för husdjursgenetik (HGEN) (creator_code:org_t)
- Sveriges lantbruksuniversitet
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- In:Trends in Biotechnology: Elsevier BV31, s. 272-2740167-77991879-3096
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