Literature DB >> 31593986

Feed efficiency and carcass metrics in growing cattle1.

David N Kelly1,2, Craig Murphy2, Roy D Sleator2, Michelle M Judge1, Stephen B Conroy3, Donagh P Berry1.   

Abstract

Some definitions of feed efficiency such as residual energy intake (REI) and residual gain (RG) may not truly reflect production efficiency. The energy sinks used in the derivation of the traits include metabolic live-weight; producers finishing cattle for slaughter are, however, paid on the basis of carcass weight, as opposed to live-weight. The objective of the present study was to explore alternative definitions of REI and RG which are more reflective of production efficiency, and quantify their relationship with performance, ultrasound, and carcass traits across multiple breeds and sexes of cattle. Feed intake and live-weight records were available on 5,172 growing animals, 2,187 of which also had information relating to carcass traits; all animals were fed a concentrate-based diet representative of a feedlot diet. Animal linear mixed models were used to estimate (co)variance components. Heritability estimates for all derived REI traits varied from 0.36 (REICWF; REI using carcass weight and carcass fat as energy sinks) to 0.50 (traditional REI derived with the energy sinks of both live-weight and ADG). The heritability for the RG traits varied from 0.24 to 0.34. Phenotypic correlations among all definitions of the REI traits ranged from 0.90 (REI with REICWF) to 0.99 (traditional REI with REI using metabolic preslaughter live-weight and ADG). All were different (P < 0.001) from one suggesting reranking of animals when using different definitions of REI to identify efficient cattle. The derived RG traits were either weakly or not correlated (P > 0.05) with the ultrasound and carcass traits. Genetic correlations between the REI traits with carcass weight, dressing difference (i.e., live-weight immediately preslaughter minus carcass weight) and dressing percentage (i.e., carcass weight divided by live-weight immediately preslaughter) implies that selection on any of the REI traits will increase carcass weight, lower the dressing difference and increase dressing percentage. Selection on REICW (REI using carcass weight as an energy sink), as opposed to traditional REI, should increase the carcass weight 2.2 times slower but reduce the dressing difference 4.3 times faster. While traditionally defined REI is informative from a research perspective, the ability to convert energy into live-weight gain does not necessarily equate to carcass gain, and as such, traits such as REICW and REICWF provide a better description of production efficiency for feedlot cattle.
© 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 cattle; genetic correlations; residual energy intake; residual gain; slaughter traits

Year:  2019        PMID: 31593986      PMCID: PMC6827399          DOI: 10.1093/jas/skz316

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


  20 in total

Review 1.  Meat standards and grading: a world view.

Authors:  R J Polkinghorne; J M Thompson
Journal:  Meat Sci       Date:  2010-05-12       Impact factor: 5.209

2.  Genetic associations between feed efficiency measured in a performance test station and performance of growing cattle in commercial beef herds.

Authors:  J J Crowley; R D Evans; N Mc Hugh; T Pabiou; D A Kenny; M McGee; D H Crews; D P Berry
Journal:  J Anim Sci       Date:  2011-06-16       Impact factor: 3.159

3.  Relationship between feed efficiency and slaughter traits of French Charolais bulls.

Authors:  Sébastien Taussat; Romain Saintilan; Daniel Krauss; David Maupetit; Marie-Noëlle Fouilloux; Gilles Renand
Journal:  J Anim Sci       Date:  2019-05-30       Impact factor: 3.159

4.  Genetic and phenotypic associations of feed efficiency with growth and carcass traits in Australian Angus cattle.

Authors:  José Antonio Torres-Vázquez; Julius H J van der Werf; Samuel A Clark
Journal:  J Anim Sci       Date:  2018-11-21       Impact factor: 3.159

5.  Phenotypic and genetic relationships of feed efficiency with growth performance, ultrasound, and carcass merit traits in Angus and Charolais steers.

Authors:  F Mao; L Chen; M Vinsky; E Okine; Z Wang; J Basarab; D H Crews; C Li
Journal:  J Anim Sci       Date:  2013-03-05       Impact factor: 3.159

6.  Towards an improved estimation of the biological components of residual feed intake in growing cattle.

Authors:  D Savietto; D P Berry; N C Friggens
Journal:  J Anim Sci       Date:  2014-01-14       Impact factor: 3.159

7.  Genetic differences based on a beef terminal index are reflected in future phenotypic performance differences in commercial beef cattle.

Authors:  S M Connolly; A R Cromie; D P Berry
Journal:  Animal       Date:  2016-01-06       Impact factor: 3.240

8.  Genetic and phenotypic variance and covariance components for methane emission and postweaning traits in Angus cattle.

Authors:  K A Donoghue; T Bird-Gardiner; P F Arthur; R M Herd; R F Hegarty
Journal:  J Anim Sci       Date:  2016-04       Impact factor: 3.159

Review 9.  Cell Biology Symposium: genetics of feed efficiency in dairy and beef cattle.

Authors:  D P Berry; J J Crowley
Journal:  J Anim Sci       Date:  2013-01-23       Impact factor: 3.159

10.  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

View more
  5 in total

1.  Phenotypic and genetic associations between feeding behavior and carcass merit in crossbred growing cattle.

Authors:  David N Kelly; Roy D Sleator; Craig P Murphy; Stephen B Conroy; Donagh P Berry
Journal:  J Anim Sci       Date:  2021-12-01       Impact factor: 3.159

2.  Genome-Wide Association Study of Feed Efficiency Related Traits in Ducks.

Authors:  Qixin Guo; Lan Huang; Yong Jiang; Zhixiu Wang; Yulin Bi; Guohong Chen; Hao Bai; Guobin Chang
Journal:  Animals (Basel)       Date:  2022-06-13       Impact factor: 3.231

3.  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

4.  Genetic variability in the feeding behavior of crossbred growing cattle and associations with performance and feed efficiency.

Authors:  David N Kelly; Roy D Sleator; Craig P Murphy; Stephen B Conroy; Donagh P Berry
Journal:  J Anim Sci       Date:  2021-11-01       Impact factor: 3.159

5.  Estimation of Genetic Parameters and Correlation between Yearling Ultrasound Measurements and Carcass Traits in Hanwoo Cattle.

Authors:  Masoumeh Naserkheil; Deuk-Hwan Lee; Hong-Sik Kong; Jiyeon Seong; Hossein Mehrban
Journal:  Animals (Basel)       Date:  2021-05-16       Impact factor: 2.752

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.