Literature DB >> 22554471

Opportunities for predicting and manipulating beef quality.

Jean-François Hocquette1, Raphaëlle Botreau, Brigitte Picard, Alain Jacquet, David W Pethick, Nigel D Scollan.   

Abstract

Meat quality is a complex concept and can be defined as the characteristics of meat which satisfy consumers and citizens. The quality concept can be divided into intrinsic quality traits (which are the characteristics of the product itself) and extrinsic quality traits (which are more or less associated to the product for instance the price, a major determinant of purchase, or any brand or quality label). Quality can also be generic for the mass market or specific for niche markets. The relative importance of the different quality traits varies with human culture and time with a general trend of an increasing contribution of healthiness, safety and extrinsic quality traits. This review underlines the need for the development of methods to interpret and aggregate measures under specific rules to be defined in order to produce an overall assessment of beef quality. Such methods can be inferred for example from genomic results or data related to muscle biochemistry to better predict tenderness or flavor. A more global assurance quality scheme (the Meat Standards Australia System) based on the aggregation of sensory quality traits has been developed in Australia to ensure palatability to consumers. We speculated that the combination of indices related to sensory and nutritional quality, social and environmental considerations (carbon footprint, animal welfare, biodiversity of pasture, rural development, etc.) and economic efficiency (incomes of farmers and of others players along the supply chain, etc.) will provide objective assessment of the overall quality of beef (i.e. incorporating an all encompassing approach) not only for the mass market but also to support official quality labels of niche markets which are so far mainly associated with the geographical origins of the products.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22554471     DOI: 10.1016/j.meatsci.2012.04.007

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


  12 in total

Review 1.  Consumer Perception of Beef Quality and How to Control, Improve and Predict It? Focus on Eating Quality.

Authors:  Jingjing Liu; Marie-Pierre Ellies-Oury; Todor Stoyanchev; Jean-François Hocquette
Journal:  Foods       Date:  2022-06-13

2.  Carcass Composition and Cuts of Bulls and Steers Fed with Three Concentrate Levels in the Diets.

Authors:  Ivanor Nunes do Prado; Rodrigo Augusto Cortêz Passetti; Dayane Cristina Rivaroli; Mariana Garcia Ornaghi; Kennyson Alves de Souza; Camila Barbosa Carvalho; Daniel Perotto; José Luiz Moletta
Journal:  Asian-Australas J Anim Sci       Date:  2015-09       Impact factor: 2.509

3.  A network-based approach for predicting Hsp27 knock-out targets in mouse skeletal muscles.

Authors:  Malek Kammoun; Brigitte Picard; Joëlle Henry-Berger; Isabelle Cassar-Malek
Journal:  Comput Struct Biotechnol J       Date:  2013-08-14       Impact factor: 7.271

Review 4.  A Contribution of Beef to Human Health: A Review of the Role of the Animal Production Systems.

Authors:  Dario Pighin; Adriana Pazos; Verónica Chamorro; Fernanda Paschetta; Sebastián Cunzolo; Fernanda Godoy; Valeria Messina; Anibal Pordomingo; Gabriela Grigioni
Journal:  ScientificWorldJournal       Date:  2016-02-16

5.  Using 13C in cattle hair to trace back the maize level in the feeding regime-A field test.

Authors:  Verena Hammes; Olaf Nüsse; Johannes Isselstein; Manfred Kayser
Journal:  PLoS One       Date:  2017-11-28       Impact factor: 3.240

6.  Beef Tenderness Improvement by Dietary Vitamin D3 Supplementation in the Last Stage of Fattening of Cattle.

Authors:  Andrzej Półtorak; Małgorzata Moczkowska; Jarosław Wyrwisz; Agnieszka Wierzbicka
Journal:  J Vet Res       Date:  2017-04-04       Impact factor: 1.744

7.  Current situation and future prospects for beef production in Europe - A review.

Authors:  Jean-François Hocquette; Marie-Pierre Ellies-Oury; Michel Lherm; Christele Pineau; Claus Deblitz; Linda Farmer
Journal:  Asian-Australas J Anim Sci       Date:  2018-05-24       Impact factor: 2.509

8.  Phenotypic and genotypic background underlying variations in fatty acid composition and sensory parameters in European bovine breeds.

Authors:  Natalia Sevane; Hubert Levéziel; Geoffrey R Nute; Carlos Sañudo; Alessio Valentini; John Williams; Susana Dunner
Journal:  J Anim Sci Biotechnol       Date:  2014-04-15

9.  Various Statistical Approaches to Assess and Predict Carcass and Meat Quality Traits.

Authors:  Marie-Pierre Ellies-Oury; Jean-François Hocquette; Sghaier Chriki; Alexandre Conanec; Linda Farmer; Marie Chavent; Jérôme Saracco
Journal:  Foods       Date:  2020-04-22

10.  Comparison of transcriptomic landscapes of different lamb muscles using RNA-Seq.

Authors:  Eileen Armstrong; Andres Iriarte; Paula Nicolini; Jorge De Los Santos; Javier Ithurralde; Alejandro Bielli; Gianni Bianchi; Francisco Peñagaricano
Journal:  PLoS One       Date:  2018-07-24       Impact factor: 3.240

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