Literature DB >> 20561754

Genetic and environmental effects on meat quality.

R D Warner1, P L Greenwood, D W Pethick, D M Ferguson.   

Abstract

In order for livestock industries to consistently produce high quality meat, there must be an understanding of the factors that cause quality to vary, as well as the contribution of genetics. A brief overview of meat tenderness is presented to understand how genotype and environment may interact to influence this trait. Essentially, meat tenderness is determined from the contribution of connective tissue, sarcomere length determined pre-rigor and rate of proteolysis during ageing, as well as contributions from intramuscular fat and post-mortem energy metabolism. The influence of mutations in myostatin, the callipyge gene, the Carwell or rib eye muscle gene as well as the calpain system on meat tenderness is presented. Specific examples of interactions between the production or processing environment and genetics are presented for both sheep and cattle. The day-to-day variation in tenderness is evident across experiments and this variation needs to be controlled in order to consistently produce tender meat.

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Year:  2010        PMID: 20561754     DOI: 10.1016/j.meatsci.2010.04.042

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


  32 in total

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Journal:  3 Biotech       Date:  2019-06-04       Impact factor: 2.406

2.  Genetic analysis of carcass and meat quality traits in Nelore cattle1.

Authors:  Daniel Gustavo M Gordo; Rafael Espigolan; Tiago Bresolin; Gerardo A Fernandes Júnior; Ana F B Magalhães; Camila U Braz; Willian Bruno Fernandes; Fernando Baldi; Lucia G Albuquerque
Journal:  J Anim Sci       Date:  2018-09-07       Impact factor: 3.159

3.  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

4.  Transcriptomics analysis of Daheng broilers reveals that PLIN2 regulates chicken preadipocyte proliferation, differentiation and apoptosis.

Authors:  Jingjing Li; Chaowu Yang; Peng Ren; Zhongzhen Lin; Donghao Zhang; Xiaosong Jiang; Li Wang; Yiping Liu
Journal:  Mol Biol Rep       Date:  2021-10-29       Impact factor: 2.316

5.  Sire Effects on Carcass of Beef-Cross-Dairy Cattle: A Case Study in New Zealand.

Authors:  Natalia Martín; Nicola Schreurs; Stephen Morris; Nicolás López-Villalobos; Julie McDade; Rebecca Hickson
Journal:  Animals (Basel)       Date:  2021-02-27       Impact factor: 2.752

6.  An Always Correlated gene expression landscape for ovine skeletal muscle, lessons learnt from comparison with an "equivalent" bovine landscape.

Authors:  Wei Sun; Nicholas J Hudson; Antonio Reverter; Ashley J Waardenberg; Ross L Tellam; Tony Vuocolo; Keren Byrne; Brian P Dalrymple
Journal:  BMC Res Notes       Date:  2012-11-13

7.  Genome-Wide H3K4me3 Analysis in Angus Cattle with Divergent Tenderness.

Authors:  Chunping Zhao; José A Carrillo; Fei Tian; Linsen Zan; Scott M Updike; Keji Zhao; Fei Zhan; Jiuzhou Song
Journal:  PLoS One       Date:  2015-06-18       Impact factor: 3.240

Review 8.  Animal board invited review: advances in proteomics for animal and food sciences.

Authors:  A M Almeida; A Bassols; E Bendixen; M Bhide; F Ceciliani; S Cristobal; P D Eckersall; K Hollung; F Lisacek; G Mazzucchelli; M McLaughlin; I Miller; J E Nally; J Plowman; J Renaut; P Rodrigues; P Roncada; J Staric; R Turk
Journal:  Animal       Date:  2014-10-31       Impact factor: 3.240

9.  Genes contributing to genetic variation of muscling in sheep.

Authors:  Ross L Tellam; Noelle E Cockett; Tony Vuocolo; Christopher A Bidwell
Journal:  Front Genet       Date:  2012-08-29       Impact factor: 4.599

10.  RNA-Seq approach for genetic improvement of meat quality in pig and evolutionary insight into the substrate specificity of animal carbonyl reductases.

Authors:  Won Yong Jung; Seul Gi Kwon; Minky Son; Eun Seok Cho; Yuno Lee; Jae Hwan Kim; Byeong-Woo Kim; Da Hye Park; Jung Hye Hwang; Tae Wan Kim; Hwa Choon Park; Beom Young Park; Jong-Soon Choi; Kwang Keun Cho; Ki Hwa Chung; Young Min Song; Il Suk Kim; Sang Keun Jin; Doo Hwan Kim; Seung-Won Lee; Keun Woo Lee; Woo Young Bang; Chul Wook Kim
Journal:  PLoS One       Date:  2012-09-04       Impact factor: 3.240

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