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Expression Marker-Based Strategy to Improve Beef Quality

For beef cattle research, a main objective is to control concomitantly the development of muscles and the qualities of beef cuts. Beef quality is a complex phenotype that is only detectable after slaughter and is highly variable. The beef industry is in need of tools to estimate beef quality of live...

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Detalles Bibliográficos
Autores principales: Cassar-Malek, Isabelle, Picard, Brigitte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4811623/
https://www.ncbi.nlm.nih.gov/pubmed/27066527
http://dx.doi.org/10.1155/2016/2185323
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author Cassar-Malek, Isabelle
Picard, Brigitte
author_facet Cassar-Malek, Isabelle
Picard, Brigitte
author_sort Cassar-Malek, Isabelle
collection PubMed
description For beef cattle research, a main objective is to control concomitantly the development of muscles and the qualities of beef cuts. Beef quality is a complex phenotype that is only detectable after slaughter and is highly variable. The beef industry is in need of tools to estimate beef quality of live cattle or online in abattoirs, with specific attention towards sensory attributes (tenderness, juiciness, flavour, and colour). Identification of relevant genetic and genomic markers is ongoing, especially for tenderness—a top priority quality attribute. In this paper, we describe the steps of an expression marker-based strategy to improve beef sensory quality, from the discovery of biomarkers that identify consistent beef and the biological functions governing beef tenderness to the integration of the knowledge into detection tests for desirable animals. These tools should soon be available for the management of sensory quality in the beef production chain for meeting market's demands and assuring good quality standards.
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spelling pubmed-48116232016-04-10 Expression Marker-Based Strategy to Improve Beef Quality Cassar-Malek, Isabelle Picard, Brigitte ScientificWorldJournal Review Article For beef cattle research, a main objective is to control concomitantly the development of muscles and the qualities of beef cuts. Beef quality is a complex phenotype that is only detectable after slaughter and is highly variable. The beef industry is in need of tools to estimate beef quality of live cattle or online in abattoirs, with specific attention towards sensory attributes (tenderness, juiciness, flavour, and colour). Identification of relevant genetic and genomic markers is ongoing, especially for tenderness—a top priority quality attribute. In this paper, we describe the steps of an expression marker-based strategy to improve beef sensory quality, from the discovery of biomarkers that identify consistent beef and the biological functions governing beef tenderness to the integration of the knowledge into detection tests for desirable animals. These tools should soon be available for the management of sensory quality in the beef production chain for meeting market's demands and assuring good quality standards. Hindawi Publishing Corporation 2016 2016-03-15 /pmc/articles/PMC4811623/ /pubmed/27066527 http://dx.doi.org/10.1155/2016/2185323 Text en Copyright © 2016 I. Cassar-Malek and B. Picard. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Cassar-Malek, Isabelle
Picard, Brigitte
Expression Marker-Based Strategy to Improve Beef Quality
title Expression Marker-Based Strategy to Improve Beef Quality
title_full Expression Marker-Based Strategy to Improve Beef Quality
title_fullStr Expression Marker-Based Strategy to Improve Beef Quality
title_full_unstemmed Expression Marker-Based Strategy to Improve Beef Quality
title_short Expression Marker-Based Strategy to Improve Beef Quality
title_sort expression marker-based strategy to improve beef quality
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4811623/
https://www.ncbi.nlm.nih.gov/pubmed/27066527
http://dx.doi.org/10.1155/2016/2185323
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