Literature DB >> 20154174

Selection to reduce residual feed intake in pigs produces a correlated response in juvenile insulin-like growth factor-I concentration.

K L Bunter1, W Cai, D J Johnston, J C M Dekkers.   

Abstract

Data from a selection experiment for residual feed intake (RFI) were used to estimate genetic correlations between measures of efficiency and performance traits with juvenile IGF-I, and to demonstrate direct and correlated responses to selection. The heritability of IGF-I was 0.28 +/- 0.06 and genetic correlations of IGF-I with feed intake (0.26 +/- 0.17), backfat (0.52 +/- 0.11), and feed conversion ratio (0.78 +/- 0.14) were moderate to large. The estimated and realized genetic correlations between RFI and IGF-I were 0.63 +/- 0.15 and 0.84. In contrast, genetic correlations between IGF-I and lifetime or test period growth did not differ (P > 0.05) significantly from zero (0.06 +/- 0.14 and -0.19 +/- 0.14). Selection for decreased RFI produced a direct response in RFI, as expected, and was accompanied by downward correlated responses in ADFI, juvenile IGF-I, backfat, and growth traits, listed in order of decreasing relative magnitude, and an increased loin muscle area. The correlated response in IGF-I to selection on RFI demonstrates that this physiological measure is genetically associated with efficiency, and is thus useful as an early information source to estimate genetic merit for efficiency before performance testing. Decreased juvenile IGF-I is associated with leaner, more efficient animals.

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Year:  2010        PMID: 20154174     DOI: 10.2527/jas.2009-2445

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


  8 in total

1.  Genetic structured antedependence and random regression models applied to the longitudinal feed conversion ratio in growing Large White pigs.

Authors:  V H Huynh-Tran; H Gilbert; I David
Journal:  J Anim Sci       Date:  2017-11       Impact factor: 3.159

2.  Effect of lower-energy, higher-fiber diets on pigs divergently selected for residual feed intake when fed higher-energy, lower-fiber diets.

Authors:  E D Mauch; J M Young; N V L Serão; W L Hsu; J F Patience; B J Kerr; T E Weber; N K Gabler; J C M Dekkers
Journal:  J Anim Sci       Date:  2018-04-14       Impact factor: 3.159

3.  Association of residual feed intake with growth performance, carcass traits, meat quality, and blood variables in native chickens.

Authors:  Lei Yang; Xiaolong Wang; Tingting He; Fengliang Xiong; Xianzhen Chen; Xingyong Chen; Sihua Jin; Zhaoyu Geng
Journal:  J Anim Sci       Date:  2020-07-01       Impact factor: 3.159

Review 4.  Application of Genetic, Genomic and Biological Pathways in Improvement of Swine Feed Efficiency.

Authors:  Pourya Davoudi; Duy Ngoc Do; Stefanie M Colombo; Bruce Rathgeber; Younes Miar
Journal:  Front Genet       Date:  2022-06-09       Impact factor: 4.772

Review 5.  Review: divergent selection for residual feed intake in the growing pig.

Authors:  H Gilbert; Y Billon; L Brossard; J Faure; P Gatellier; F Gondret; E Labussière; B Lebret; L Lefaucheur; N Le Floch; I Louveau; E Merlot; M-C Meunier-Salaün; L Montagne; P Mormede; D Renaudeau; J Riquet; C Rogel-Gaillard; J van Milgen; A Vincent; J Noblet
Journal:  Animal       Date:  2017-01-25       Impact factor: 3.240

6.  A transcriptome multi-tissue analysis identifies biological pathways and genes associated with variations in feed efficiency of growing pigs.

Authors:  Florence Gondret; Annie Vincent; Magalie Houée-Bigot; Anne Siegel; Sandrine Lagarrigue; David Causeur; Hélène Gilbert; Isabelle Louveau
Journal:  BMC Genomics       Date:  2017-03-21       Impact factor: 3.969

7.  Post-weaning blood transcriptomic differences between Yorkshire pigs divergently selected for residual feed intake.

Authors:  Haibo Liu; Yet T Nguyen; Dan Nettleton; Jack C M Dekkers; Christopher K Tuggle
Journal:  BMC Genomics       Date:  2016-01-22       Impact factor: 3.969

8.  Effects of correcting missing daily feed intake values on the genetic parameters and estimated breeding values for feeding traits in pigs.

Authors:  Tetsuya Ito; Kazuo Fukawa; Mai Kamikawa; Satoshi Nikaidou; Masaaki Taniguchi; Aisaku Arakawa; Genki Tanaka; Satoshi Mikawa; Tsutomu Furukawa; Kensuke Hirose
Journal:  Anim Sci J       Date:  2017-08-30       Impact factor: 1.749

  8 in total

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