Literature DB >> 29584931

Evaluation of feed efficiency traits for genetic improvement in Japanese Black cattle.

Masayuki Takeda1,2, Yoshinobu Uemoto2, Keiichi Inoue1, Atsushi Ogino3, Takayoshi Nozaki3, Kazuhito Kurogi3, Takanori Yasumori4, Masahiro Satoh2.   

Abstract

We evaluated the genetic relationships (1) among feed efficiency traits with different fattening periods, (2) between feed efficiency traits and growth traits, and (3) between feed efficiency traits and carcass traits, to determine the influence of genetic factors on feed efficiency traits. In total, 4,578 Japanese Black cattle from a progeny testing program were used. Residual feed intake (RFI), residual BW gain (RG), and residual intake and BW gain (RIG) were defined as feed efficiency traits, and were measured for the first half (approximately 9 to 15 months of age), latter half (approximately 15 to 21 months of age), and total period of fattening (approximately 9 to 21 months of age). A single-trait animal model for estimating heritability and a two-trait animal model for estimating genetic and phenotypic correlations were used. The heritability estimates for RFI, RG, and RIG were different in each fattening period, ranging from 0.36 to 0.46, 0.19 to 0.28, and 0.28 to 0.34, respectively, and the heritability estimates for the total fattening period were greater than those for the first and latter halves separately. RIG showed the greatest preferred genetic correlation, with a greater feed conversion ratio than the other feed efficiency traits (ranging from -0.84 to -0.96). RG in the first and latter halves of the fattening period had different genetic correlations with the growth starting point (0.82 and -0.06, respectively) and maturity rate (0.49 and -0.51, respectively) of the Gompertz growth curve parameters, and is strongly dependent on the different fattening periods. Feed efficiency traits in different fattening periods had low genetic correlations with the carcass traits (from -0.05 to 0.19 for RFI; from 0.02 to 0.31 for RG; and from -0.11 to 0.20 for RIG). This study indicated the possibility for genetic improvement through the selection of high-RIG animals to decrease feed intake and increase BW gain without any unfavorable correlated responses affecting mature (asymptotic) weight and carcass grade.

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Year:  2018        PMID: 29584931      PMCID: PMC6093584          DOI: 10.1093/jas/skx054

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


  12 in total

1.  Feed efficiency indexes and their relationships with carcass, non-carcass and meat quality traits in Nellore steers.

Authors:  M L Nascimento; A R D L Souza; A S Chaves; A S M Cesar; R R Tullio; S R Medeiros; G B Mourão; A N Rosa; G L D Feijó; M M Alencar; D P D Lanna
Journal:  Meat Sci       Date:  2016-01-26       Impact factor: 5.209

2.  The Gompertz Curve as a Growth Curve.

Authors:  C P Winsor
Journal:  Proc Natl Acad Sci U S A       Date:  1932-01       Impact factor: 11.205

3.  Predictive ability and covariance parameters of dynamic linear models for analysis of longitudinal traits.

Authors:  S Forni; D Gianola; G J M Rosa
Journal:  J Anim Sci       Date:  2009-08-14       Impact factor: 3.159

4.  Residual intake and body weight gain: a new measure of efficiency in growing cattle.

Authors:  D P Berry; J J Crowley
Journal:  J Anim Sci       Date:  2011-09-02       Impact factor: 3.159

Review 5.  Analysis of growth curves and strategies for altering their shape.

Authors:  H A Fitzhugh
Journal:  J Anim Sci       Date:  1976-04       Impact factor: 3.159

6.  Genetic parameters for fatty acid composition and feed efficiency traits in Japanese Black cattle.

Authors:  K Inoue; M Kobayashi; N Shoji; K Kato
Journal:  Animal       Date:  2011-05       Impact factor: 3.240

7.  Estimation of genetic (co)variances of Gompertz growth function parameters in pigs.

Authors:  J M Coyne; K Matilainen; D P Berry; M-L Sevon-Aimonen; E A Mäntysaari; J Juga; T Serenius; N McHugh
Journal:  J Anim Breed Genet       Date:  2016-09-13       Impact factor: 2.380

Review 8.  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

9.  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

10.  Multi-Trait GWAS and New Candidate Genes Annotation for Growth Curve Parameters in Brahman Cattle.

Authors:  Aline Camporez Crispim; Matthew John Kelly; Simone Eliza Facioni Guimarães; Fabyano Fonseca e Silva; Marina Rufino Salinas Fortes; Raphael Rocha Wenceslau; Stephen Moore
Journal:  PLoS One       Date:  2015-10-07       Impact factor: 3.240

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  2 in total

1.  Weighted Single-Step Genome-Wide Association Study for Growth Traits in Chinese Simmental Beef Cattle.

Authors:  Zhanwei Zhuang; Lingyang Xu; Jie Yang; Huijiang Gao; Lupei Zhang; Xue Gao; Junya Li; Bo Zhu
Journal:  Genes (Basel)       Date:  2020-02-11       Impact factor: 4.096

2.  Genetic and genomic analyses for predicted methane-related traits in Japanese Black steers.

Authors:  Yoshinobu Uemoto; Masayuki Takeda; Atushi Ogino; Kazuhito Kurogi; Shinichro Ogawa; Masahiro Satoh; Fuminori Terada
Journal:  Anim Sci J       Date:  2020 Jan-Dec       Impact factor: 1.749

  2 in total

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