Literature DB >> 32459312

The achievement of a given carcass specification is under moderate genetic control in cattle.

David Kenny1,2, Michelle M Judge1, Roy D Sleator2, Craig P Murphy2, Ross D Evans3, Donagh P Berry1.   

Abstract

The objective of the present study was to estimate the genetic parameters associated with the achievement of desirable weight, conformation, and fat specifications, represented by a series of binary traits. The desired specifications were those stipulated by Irish beef processors, in accordance with the EUROP carcass grading system, and were represented by a carcass weight between 270 and 380 kg, a fat score between 2+ and 4= (between 6 and 11 on a 15-point scale), and a conformation score of O= or better (≥5 on a 15-point scale). Using data from 58,868 beef carcasses, variance components were estimated using linear mixed models for these binary traits, as well as their underlying continuous measures. Heritability estimates for the continuous traits ranged from 0.63 to 0.73; heritability estimates for the binary traits ranged from 0.05 to 0.19. An additional trait was defined to reflect if all desired carcass specifications were met. All genetic correlations between this trait and the individual contributing binary traits were positive (0.38 to 0.87), while all genetic correlations between this trait and the continuous carcass measures were negative (-0.87 to -0.07). The genetic parameters estimated in the present study signify that potential exists to breed cattle that more consistently achieve desirable carcass metrics at harvest.
© The Author(s) 2020. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  carcass grading; carcass quality; carcass yield; genetic evaluation; genetic parameters

Mesh:

Year:  2020        PMID: 32459312      PMCID: PMC7299552          DOI: 10.1093/jas/skaa158

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  21 in total

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2.  Effects of feeding intensity and time on feed on performance, carcass characteristics and meat quality of Simmental bulls.

Authors:  A S Sami; C Augustini; F J Schwarz
Journal:  Meat Sci       Date:  2004-06       Impact factor: 5.209

3.  A mating advice system in dairy cattle incorporating genomic information.

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4.  Genetic selection for hoof health traits and cow mobility scores can accelerate the rate of genetic gain in producer-scored lameness in dairy cows.

Authors:  S C Ring; A J Twomey; N Byrne; M M Kelleher; T Pabiou; M L Doherty; D P Berry
Journal:  J Dairy Sci       Date:  2018-09-13       Impact factor: 4.034

5.  Trends in meat science and technology: the future looks bright, but the journey will be long.

Authors:  L Kristensen; S Støier; J Würtz; L Hinrichsen
Journal:  Meat Sci       Date:  2014-06-27       Impact factor: 5.209

6.  Estimation of genetic gain in milk yield by selection in a closed herd of dairy cattle.

Authors:  J M RENDEL; A ROBERTSON
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7.  Risk factors associated with animal mortality in pasture-based, seasonal-calving dairy and beef herds.

Authors:  S C Ring; J McCarthy; M M Kelleher; M L Doherty; D P Berry
Journal:  J Anim Sci       Date:  2018-02-15       Impact factor: 3.159

8.  A breeding index to rank beef bulls for use on dairy females to maximize profit.

Authors:  D P Berry; P R Amer; R D Evans; T Byrne; A R Cromie; F Hely
Journal:  J Dairy Sci       Date:  2019-09-05       Impact factor: 4.034

9.  Choice of artificial insemination beef bulls used to mate with female dairy cattle.

Authors:  D P Berry; S C Ring; A J Twomey; R D Evans
Journal:  J Dairy Sci       Date:  2019-11-27       Impact factor: 4.034

Review 10.  Genetics and genomics of reproductive performance in dairy and beef cattle.

Authors:  D P Berry; E Wall; J E Pryce
Journal:  Animal       Date:  2014-04-04       Impact factor: 3.240

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  2 in total

1.  The Association Between Genomic Heterozygosity and Carcass Merit in Cattle.

Authors:  David Kenny; Tara R Carthy; Craig P Murphy; Roy D Sleator; Ross D Evans; Donagh P Berry
Journal:  Front Genet       Date:  2022-02-24       Impact factor: 4.599

2.  Detection of Genomic Imprinting for Carcass Traits in Cattle Using Imputed High-Density Genotype Data.

Authors:  David Kenny; Roy D Sleator; Craig P Murphy; Ross D Evans; Donagh P Berry
Journal:  Front Genet       Date:  2022-07-15       Impact factor: 4.772

  2 in total

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