Literature DB >> 21680785

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

J J Crowley1, R D Evans, N Mc Hugh, T Pabiou, D A Kenny, M McGee, D H Crews, D P Berry.   

Abstract

Interest in selection for improved feed efficiency is increasing, but before any steps are taken toward selecting for feed efficiency, correlations with other economically important traits must first be quantified. The objective of this study was to quantify the genetic associations between feed efficiency measured during performance testing and linear type traits, BW, live animal value, and carcass traits recorded in commercial herds. Feed efficiency data were available on 2,605 bulls from 1 performance test station. There were between 10,384 and 93,442 performance records on type traits, BW, animal value, or carcass traits from 17,225 commercial herds. (Co)variance components were estimated using linear mixed animal models. Genetic correlations between the muscular type traits in commercial animals and feed conversion ratio (-0.33 to -0.25), residual feed intake (RFI; -0.33 to -0.22), and residual BW gain (RG; 0.24 to 0.27) suggest that selection for improved feed efficiency should increase muscling. This is further evidenced by the genetic correlations between carcass conformation of commercial animals and feed conversion ratio (-0.46), RFI (-0.37), and residual BW gain (0.35) measured in performance-tested animals. Furthermore, the genetic correlations between RFI and both ultrasonic fat depth and carcass fat score (0.39 and 0.33, respectively) indicated that selection for improved RFI will result in leaner animals. It can be concluded from the genetic correlations estimated in this study that selection for feed efficiency will have no unfavorable effects on the performance traits measured in this study and will actually lead to an improvement in performance for some traits, such as muscularity, animal price, and carcass conformation. Conversely, this suggests that genetic selection for traits such as carcass quality, muscling traits, and animal value might also be indirectly selecting for more efficient animals.

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Year:  2011        PMID: 21680785     DOI: 10.2527/jas.2011-3836

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


  8 in total

1.  Genetic parameters and genome-wide association study regarding feed efficiency and slaughter traits in Charolais cows.

Authors:  Pauline Martin; Sébastien Taussat; Aurélie Vinet; Daniel Krauss; David Maupetit; Gilles Renand
Journal:  J Anim Sci       Date:  2019-09-03       Impact factor: 3.159

2.  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

3.  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

4.  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
Journal:  J Anim Sci       Date:  2019-11-04       Impact factor: 3.159

5.  Identification of genomic regions that exhibit sexual dimorphism for size and muscularity in cattle.

Authors:  Jennifer L Doyle; Deirdre C Purfield; Tom Moore; Tara R Carthy; Siobhan W Walsh; Roel F Veerkamp; Ross D Evans; Donagh P Berry
Journal:  J Anim Sci       Date:  2021-05-01       Impact factor: 3.159

6.  Reducing GHG emissions through genetic improvement for feed efficiency: effects on economically important traits and enteric methane production.

Authors:  J A Basarab; K A Beauchemin; V S Baron; K H Ominski; L L Guan; S P Miller; J J Crowley
Journal:  Animal       Date:  2013-06       Impact factor: 3.240

7.  Selection of performance-tested young bulls and indirect responses in commercial beef cattle herds on pasture and in feedlots.

Authors:  Fernanda S S Raidan; Dalinne C C Santos; Mariana M Moraes; Andresa E M Araújo; Henrique T Ventura; José A G Bergmann; Eduardo M Turra; Fabio L B Toral
Journal:  Genet Sel Evol       Date:  2016-11-09       Impact factor: 4.297

8.  A multi-breed GWAS for morphometric traits in four Beninese indigenous cattle breeds reveals loci associated with conformation, carcass and adaptive traits.

Authors:  Sèyi Fridaïus Ulrich Vanvanhossou; Carsten Scheper; Luc Hippolyte Dossa; Tong Yin; Kerstin Brügemann; Sven König
Journal:  BMC Genomics       Date:  2020-11-11       Impact factor: 3.969

  8 in total

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