Literature DB >> 11768108

Genetic and phenotypic variance and covariance components for feed intake, feed efficiency, and other postweaning traits in Angus cattle.

P F Arthur1, J A Archer, D J Johnston, R M Herd, E C Richardson, P F Parnell.   

Abstract

Records on 1,180 young Angus bulls and heifers involved in performance tests were used to estimate genetic and phenotypic parameters for feed intake, feed efficiency, and other postweaning traits. The mean age was 268 d at the start of the performance test, which comprised 21-d adjustment and 70-d test periods. Traits studied included 200-d weight, 400-d weight, scrotal circumference, ultrasonic measurements of rib and rump fat depths and longissimus muscle area, ADG, metabolic weight, daily feed intake, feed conversion ratio, and residual feed intake. For all traits except the last five, additional data from the Angus Society ofAustralia pedigree and performance database were included, which increased the number of animals to 27,229. Genetic (co)variances were estimated by REML using animal models. Direct heritability estimates for 200-d weight, 400-d weight, rib fat depth, ADG, feed conversion,and residual feed intake were 0.17 +/- 0.03, 0.27 +/- 0.03, 0.35 +/- 0.04, 0.28 +/- 0.04, 0.29 +/- 0.04, and 0.39 +/- 0.03, respectively. Feed conversion ratio was genetically (r(g) = 0.66 ) and phenotypically (r(p) = 0.53) correlated with residual feed intake. Feed conversion ratio was correlated (r(g) = -0.62, r(p) = -0.74) with ADG, whereas residual feed intake was not (rg = -0.04, r(p) = -0.06). Genetically, both residual feed intake and feed conversion ratio were negatively correlated with direct effects of 200-d weight (r(g) = -0.45 and -0.21) and 400-d weight (r(g) = -0.26 and -0.09). The correlations between the remaining traits and the feed efficiency traits were near zero, except between feed intake and feed conversion ratio (r(g) = 0.31, r(p) = 0.23), feed intake and residual feed intake (r(g) = 0.69, r(p) = 0.72), and rib fat depth and residual feed intake (r(g) = 0.17, r(p) = 0.14). These results indicate that genetic improvement in feed efficiency can be achieved through selection and, in general, correlated responses in growth and the other postweaning traits will be minimal.

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Year:  2001        PMID: 11768108     DOI: 10.2527/2001.79112805x

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


  60 in total

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Review 2.  Residual feed intake: a nutritional tool for genetic improvement.

Authors:  Leilson Rocha Bezerra; José Lindenberg Rocha Sarmento; Severino Gonzaga Neto; Ney Rômulo Oliveira de Paula; Ronaldo Lopes Oliveira; Wagner Martins Fontes do Rêgo
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3.  Genetic variation in residual feed intake is associated with body composition, behavior, rumen, heat production, hematology, and immune competence traits in Angus cattle1.

Authors:  Robert M Herd; Jose I Velazco; Helen Smith; Paul F Arthur; Brad Hine; Hutton Oddy; Robin C Dobos; Roger S Hegarty
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6.  Deciphering signature of selection affecting beef quality traits in Angus cattle.

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7.  Evidence of negative relationship between female fertility and feed efficiency in Nellore cattle.

Authors:  Rubens J Ferreira Júnior; Sarah F M Bonilha; Fábio M Monteiro; Joslaine N S G Cyrillo; Renata H Branco; Josineudson A Ii V Silva; Maria Eugênia Z Mercadante
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8.  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

9.  Genetic parameter estimation for pre- and post-weaning traits in Brahman cattle in Brazil.

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Journal:  Trop Anim Health Prod       Date:  2014-07-19       Impact factor: 1.559

10.  Impact of reduced marker set estimation of genomic relationship matrices on genomic selection for feed efficiency in Angus cattle.

Authors:  Megan M Rolf; Jeremy F Taylor; Robert D Schnabel; Stephanie D McKay; Matthew C McClure; Sally L Northcutt; Monty S Kerley; Robert L Weaber
Journal:  BMC Genet       Date:  2010-04-19       Impact factor: 2.797

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