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An algorithm for the identification of genetically modified animals

Forabosco, Flavio (author)
Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för husdjursgenetik (HGEN),Department of Animal Breeding and Genetics
Rydhmer, Lotta (author)
Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för husdjursgenetik (HGEN),Department of Animal Breeding and Genetics
Sundström, Fredrik L. (author)
Uppsala universitet,Zooekologi
 (creator_code:org_t)
 
Elsevier BV, 2013
English.
In: Trends in Biotechnology. - : Elsevier BV. - 0167-7799 .- 1879-3096. ; 31, s. 272-274
  • Other publication (other academic/artistic)
Abstract Subject headings
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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.

Subject headings

LANTBRUKSVETENSKAPER  -- Bioteknologi med applikationer på växter och djur -- Genetik och förädling inom lantbruksvetenskap (hsv//swe)
AGRICULTURAL SCIENCES  -- Agricultural Biotechnology -- Genetics and Breeding in Agricultural Sciences (hsv//eng)

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