Literature DB >> 31056704

Potential exists to change, through breeding, the yield of individual primal carcass cuts in cattle without increasing overall carcass weight1.

Michelle M Judge1, Thierry Pabiou2, Jessica Murphy3, Stephen B Conroy2, P J Hegarty2, Donagh P Berry1.   

Abstract

The ability to alter the morphology of cattle towards greater yields of higher value primal cuts has the potential to increase the value of animals at slaughter. Using weight records of 14 primal cuts from 31,827 cattle, the objective of the present study was to quantify the extent of genetic variability in these primal cuts; also of interest was the degree of genetic variability in the primal cuts adjusted to a common carcass weight. Variance components were estimated for each primal cut using animal linear mixed models. The coefficient of genetic variation in the different primal cuts ranged from 0.05 (bavette) to 0.10 (eye of round) with a mean coefficient of genetic variation of 0.07. When phenotypically adjusted to a common carcass weight, the coefficient of genetic variation of the primal cuts was lesser ranging from 0.02 to 0.07 with a mean of 0.04. The heritability of the 14 primal cuts ranged from 0.14 (bavette) to 0.75 (topside) with a mean heritability across all cuts of 0.48; the heritability estimates reduced, and ranged from 0.12 (bavette) to 0.56 (topside), when differences in carcass weight were accounted for in the statistical model. Genetic correlations between each primal cut and carcass weight were all ≥0.77; genetic correlations between each primal cut and carcass conformation score were, on average, 0.59 but when adjusted to a common carcass weight, the correlations weakened to, on average, 0.27. The genetic correlations among all 14 primal cut weights was, on average, strong (mean correlation of 0.72 with all correlations being ≥0.37); when adjusted to a common carcass weight, the mean of the genetic correlations among all primal cuts was 0.10. The ability of estimated breeding values for a selection of primal cuts to stratify animals phenotypically on the respective cut weight was demonstrated; the weight of the rump, striploin, and fillet of animals estimated to be in the top 25% genetically for the respective cut, were 10 to 24%, 12 to 24%, and 7 to 17% heavier than the weight of cuts from animals predicted to be in the worst 25% genetically for that cut. Significant exploitable genetic variability in primal carcass cuts was clearly evident even when adjusted to a common carcass weight. The high heritability of many of the primal cuts infers that large datasets are not actually required to achieve high accuracy of selection once the structure of the data and the number of progeny per sire is adequate.
© The Author(s) 2019. 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:  beef; genetic parameters; heritability; retail cuts

Mesh:

Year:  2019        PMID: 31056704      PMCID: PMC6606483          DOI: 10.1093/jas/skz152

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


  28 in total

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Authors:  I Strandén; M Lidauer
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Review 2.  Heritability estimates for carcass traits of cattle: a review.

Authors:  Angel Ríos Utrera; Lloyd Dale Van Vleck
Journal:  Genet Mol Res       Date:  2004-09-30

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Authors:  D Houle
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5.  Genetic parameters for carcass cut weight in Irish beef cattle.

Authors:  T Pabiou; W F Fikse; A Näsholm; A R Cromie; M J Drennan; M G Keane; D P Berry
Journal:  J Anim Sci       Date:  2009-08-28       Impact factor: 3.159

6.  Phenotypic and genetic parameters for different measures of feed efficiency in different breeds of Irish performance-tested beef bulls.

Authors:  J J Crowley; M McGee; D A Kenny; D H Crews; R D Evans; D P Berry
Journal:  J Anim Sci       Date:  2009-12-04       Impact factor: 3.159

7.  Genetic parameters for cattle price and body weight from routinely collected data at livestock auctions and commercial farms.

Authors:  N Mc Hugh; R D Evans; P R Amer; A G Fahey; D P Berry
Journal:  J Anim Sci       Date:  2011-01       Impact factor: 3.159

8.  Pleiotropic effects in Hereford, Limousin, and Piedmontese F2 crossbred calves of genes controlling muscularity including the Piedmontese myostatin allele.

Authors:  R E Short; M D MacNeil; M D Grosz; D E Gerrard; E E Grings
Journal:  J Anim Sci       Date:  2002-01       Impact factor: 3.159

9.  Genetic relationships among body condition score, body weight, milk yield, and fertility in dairy cows.

Authors:  D P Berry; F Buckley; P Dillon; R D Evans; M Rath; R F Veerkamp
Journal:  J Dairy Sci       Date:  2003-06       Impact factor: 4.034

10.  Accuracy of predicting the genetic risk of disease using a genome-wide approach.

Authors:  Hans D Daetwyler; Beatriz Villanueva; John A Woolliams
Journal:  PLoS One       Date:  2008-10-14       Impact factor: 3.240

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  6 in total

1.  Linear classification scores in beef cattle as predictors of genetic merit for individual carcass primal cut yields1.

Authors:  Donagh P Berry; Thierry Pabiou; Rory Fanning; Ross D Evans; Michelle M Judge
Journal:  J Anim Sci       Date:  2019-05-30       Impact factor: 3.159

2.  Feed efficiency and carcass metrics in growing cattle1.

Authors:  David N Kelly; Craig Murphy; Roy D Sleator; Michelle M Judge; Stephen B Conroy; Donagh P Berry
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3.  Animal-level factors associated with the achievement of desirable specifications in Irish beef carcasses graded using the EUROP classification system.

Authors:  David Kenny; Craig P Murphy; Roy D Sleator; Michelle M Judge; Ross D Evans; Donagh P Berry
Journal:  J Anim Sci       Date:  2020-07-01       Impact factor: 3.159

4.  Feed and production efficiency of young crossbred beef cattle stratified on a terminal total merit index.

Authors:  David N Kelly; Stephen B Conroy; Craig P Murphy; Roy D Sleator; Donagh P Berry
Journal:  Transl Anim Sci       Date:  2020-07-01

5.  Genome-wide Association Study for Carcass Primal Cut Yields Using Single-step Bayesian Approach in Hanwoo Cattle.

Authors:  Masoumeh Naserkheil; Hossein Mehrban; Deukmin Lee; Mi Na Park
Journal:  Front Genet       Date:  2021-11-26       Impact factor: 4.599

6.  Evaluation of Genome-Enabled Prediction for Carcass Primal Cut Yields Using Single-Step Genomic Best Linear Unbiased Prediction in Hanwoo Cattle.

Authors:  Masoumeh Naserkheil; Hossein Mehrban; Deukmin Lee; Mi Na Park
Journal:  Genes (Basel)       Date:  2021-11-25       Impact factor: 4.096

  6 in total

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