Literature DB >> 23463551

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

F Mao1, L Chen, M Vinsky, E Okine, Z Wang, J Basarab, D H Crews, C Li.   

Abstract

Feed efficiency is of particular importance to the beef industry, as feed costs represent the single largest variable cost in beef production systems. Selection for more efficient cattle will lead to reduction of feed related costs, but should not have adverse impacts on quality of the carcass. In this study, we evaluated phenotypic and genetic correlations of residual feed intake (RFI), RFI adjusted for end-of-test ultrasound backfat thickness (RFIf), and RFI adjusted for ultrasound backfat thickness and LM area (RFIfr) with growth, ultrasound, and carcass merit traits in an Angus population of 551 steers and in a Charolais population of 417 steers. In the Angus steer population, the phenotypic and genetic correlation of RFI with carcass merit traits including HCW, carcass backfat, carcass LM area, lean meat yield, and carcass marbling were not significant or weak with correlations coefficients ranging from -0.0007 ± 0.05 to 0.18 ± 0.21. In the Charolais steer population, the phenotypic and genetic correlations of RFI with the carcass merit traits were also weak, with correlation coefficients ranging from -0.07 ± 0.06 to 0.19 ± 0.18, except for the genetic correlation with carcass average backfat, which was moderate with a magnitude of 0.42 ± 0.29. Inclusion of ultrasound backfat thickness in the model to predict the expected daily DMI for maintenance explained on average an additional 0.5% variation of DMI in the Angus steers and 2.3% variation of DMI in the Charolais steer population. Inclusion of both the ultrasound backfat and LM area in the model explained only 0.7% additional variance in DMI in the Angus steer population and only 0.6% in the Charolais steer population on top of the RFIf model. We concluded that RFIf adjusted for ultrasound backfat at the end of the test will lead to decreases of both the phenotypic and genetic correlations with carcass backfat and marbling score to a greater extent for late-maturing beef breeds such as Charolais than for early-maturing beef breeds such as Angus. However, further inclusion of ultrasound LM area on top of the final ultrasound backfat in the model of calculating RFI had little effect in reducing the correlations of RFI with the carcass merit traits.

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Year:  2013        PMID: 23463551     DOI: 10.2527/jas.2012-5470

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


  18 in total

1.  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

2.  Phenotypic and genetic correlations of fatty acid composition in subcutaneous adipose tissue with carcass merit and meat tenderness traits in Canadian beef cattle.

Authors:  C Ekine-Dzivenu; M Vinsky; J A Basarab; J L Aalhus; M E R Dugan; C Li
Journal:  J Anim Sci       Date:  2017-12       Impact factor: 3.159

3.  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

4.  Phenotypic and genetic associations between feeding behavior and carcass merit.

Authors: 
Journal:  J Anim Sci       Date:  2021-12-01       Impact factor: 3.159

5.  Impacts of Heifer Post-Weaning Intake Classification on Performance Measurements of Lactating and Non-Lactating Two-, Five-, and Eight-Year-Old Angus Beef Females.

Authors:  Krista R Wellnitz; Cory T Parsons; Julia M Dafoe; Darrin L Boss; Samuel A Wyffels; Timothy DelCurto; Megan L Van Emon
Journal:  Animals (Basel)       Date:  2022-06-30       Impact factor: 3.231

6.  Development and validation of a small SNP panel for feed efficiency in beef cattle.

Authors:  M K Abo-Ismail; N Lansink; E Akanno; B K Karisa; J J Crowley; S S Moore; E Bork; P Stothard; J A Basarab; G S Plastow
Journal:  J Anim Sci       Date:  2018-03-06       Impact factor: 3.159

7.  Liver transcriptome profiling of beef steers with divergent growth rate, feed intake, or metabolic body weight phenotypes1.

Authors:  Robert Mukiibi; Michael Vinsky; Kate Keogh; Carolyn Fitzsimmons; Paul Stothard; Sinéad M Waters; Changxi Li
Journal:  J Anim Sci       Date:  2019-11-04       Impact factor: 3.159

8.  Heritability and genetic correlations of feed intake, body weight gain, residual gain, and residual feed intake of beef cattle as heifers and cows.

Authors:  Harvey C Freetly; Larry A Kuehn; Richard M Thallman; Warren M Snelling
Journal:  J Anim Sci       Date:  2020-01-01       Impact factor: 3.159

9.  Genetic potential for residual feed intake and diet fed during early- to mid-gestation influences post-natal DNA methylation of imprinted genes in muscle and liver tissues in beef cattle.

Authors:  Julia Devos; Amir Behrouzi; Francois Paradis; Christina Straathof; Changxi Li; Marcos Colazo; Hushton Block; Carolyn Fitzsimmons
Journal:  J Anim Sci       Date:  2021-05-01       Impact factor: 3.159

10.  Phenotypic and Genetic Correlations of Feed Efficiency Traits with Growth and Carcass Traits in Nellore Cattle Selected for Postweaning Weight.

Authors:  Thais Matos Ceacero; Maria Eugênia Zerlotti Mercadante; Joslaine Noely Dos Santos Gonçalves Cyrillo; Roberta Carrilho Canesin; Sarah Figueiredo Martins Bonilha; Lucia Galvão de Albuquerque
Journal:  PLoS One       Date:  2016-08-18       Impact factor: 3.240

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