Literature DB >> 22061927

Genetic traceability of livestock products: A review.

C Dalvit1, M De Marchi, M Cassandro.   

Abstract

Traceability is the ability to maintain the identification of animal, or animal products, all along the production chain. It represents an essential tool to safeguard public and animal health and to valorize typical production systems. European food legislation is particularly strict and traceability systems, based on product labeling, have become mandatory in all European countries. However, the implementation of this system does not ensure consumers against fraud. Paper documents can be counterfeit so researchers have focused on the study of genetic traceability systems based on products identification through DNA analysis. In fact DNA is inalterable, detectable in every cell, resistant to heat treatments, and allows for individual, breed or species identification. Even if results are promising, these techniques are too expensive to be converted in routine tests but they could be a trusted tool for verification of suspected fraud. The present review proposes a synthesis of the major advances made in individual, breed, and species genetic identification in the last years, focusing on advantages and disadvantages and on their real future applications for animal productions.

Year:  2007        PMID: 22061927     DOI: 10.1016/j.meatsci.2007.05.027

Source DB:  PubMed          Journal:  Meat Sci        ISSN: 0309-1740            Impact factor:   5.209


  18 in total

1.  Polymorphisms of myostatin gene (MSTN) in four goat breeds and their effects on Boer goat growth performance.

Authors:  Chunyan Zhang; Yun Liu; Deqing Xu; Qunying Wen; Xiang Li; Wenmin Zhang; Liguo Yang
Journal:  Mol Biol Rep       Date:  2011-06-28       Impact factor: 2.316

2.  Advantages of using molecular coancestry in the removal of introgressed genetic material.

Authors:  Carmen Amador; Jesús Fernández; Theo He Meuwissen
Journal:  Genet Sel Evol       Date:  2013-05-01       Impact factor: 4.297

3.  Bayesian inference of genetic parameters for test-day milk yield, milk quality traits, and somatic cell score in Burlina cows.

Authors:  M Penasa; A Cecchinato; M Battagin; M De Marchi; D Pretto; M Cassandro
Journal:  J Appl Genet       Date:  2010       Impact factor: 2.653

4.  Application of LogitBoost Classifier for Traceability Using SNP Chip Data.

Authors:  Kwondo Kim; Minseok Seo; Hyunsung Kang; Seoae Cho; Heebal Kim; Kang-Seok Seo
Journal:  PLoS One       Date:  2015-10-05       Impact factor: 3.240

5.  Comparison of the effectiveness of microsatellites and SNP panels for genetic identification, traceability and assessment of parentage in an inbred Angus herd.

Authors:  María E Fernández; Daniel E Goszczynski; Juan P Lirón; Egle E Villegas-Castagnasso; Mónica H Carino; María V Ripoli; Andrés Rogberg-Muñoz; Diego M Posik; Pilar Peral-García; Guillermo Giovambattista
Journal:  Genet Mol Biol       Date:  2013-06-22       Impact factor: 1.771

6.  Transfer of orally administered terpenes in goat milk and cheese.

Authors:  I Poulopoulou; E Zoidis; T Massouras; I Hadjigeorgiou
Journal:  Asian-Australas J Anim Sci       Date:  2012-10       Impact factor: 2.509

7.  Discrimination of korean native chicken lines using fifteen selected microsatellite markers.

Authors:  D W Seo; M R Hoque; N R Choi; H Sultana; H B Park; K N Heo; B S Kang; H T Lim; S H Lee; C Jo; J H Lee
Journal:  Asian-Australas J Anim Sci       Date:  2013-03       Impact factor: 2.509

8.  Molecular markers allow to remove introgressed genetic background: a simulation study.

Authors:  Carmen Amador; Miguel Ángel Toro; Jesús Fernández
Journal:  PLoS One       Date:  2012-11-09       Impact factor: 3.240

9.  Tracing Asian seabass individuals to single fish farms using microsatellites.

Authors:  Gen Hua Yue; Jun Hong Xia; Peng Liu; Feng Liu; Fei Sun; Grace Lin
Journal:  PLoS One       Date:  2012-12-20       Impact factor: 3.240

10.  Genetic traceability of black pig meats using microsatellite markers.

Authors:  Jae-Don Oh; Ki-Duk Song; Joo-Hee Seo; Duk-Kyung Kim; Sung-Hoon Kim; Kang-Seok Seo; Hyun-Tae Lim; Jae-Bong Lee; Hwa-Chun Park; Youn-Chul Ryu; Min-Soo Kang; Seoae Cho; Eui-Soo Kim; Ho-Sung Choe; Hong-Sik Kong; Hak-Kyo Lee
Journal:  Asian-Australas J Anim Sci       Date:  2014-07       Impact factor: 2.509

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