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Genetics Selection Evolution

, 33:635 | Cite as

Genetic parameters of a random regression model for daily feed intake of performance tested French Landrace and Large White growing pigs

  • Urs Schnyder
  • Andreas Hofer
  • Florence Labroue
  • Niklaus Künzi
Open Access
Research

Abstract

Daily feed intake data of 1 279 French Landrace (FL, 1 039 boars and 240 castrates) and 2 417 Large White (LW, 2 032 boars and 385 castrates) growing pigs were recorded with electronic feed dispensers in three French central testing stations from 1992–1994. Male (35 to 95 kg live body weight) or castrated (100 kg live body weight) group housed, ad libitum fed pigs were performance tested. A quadratic polynomial in days on test with fixed regressions for sex and batch, random regressions for additive genetic, pen, litter and individual permanent environmental effects was used, with two different models for the residual variance: constant in model 1 and modelled with a quadratic polynomial depending on the day on test d m as follows in model 2: Open image in new window . Variance components were estimated from weekly means of daily feed intake by means of a Bayesian analysis using Gibbs sampling. Posterior means of (co)variances were calculated using 800 000 samples from four chains (200 000 each). Heritability estimates of regression coefficients were 0.30 (FL model 1), 0.21 (FL model 2), 0.14 (LW1) and 0.14 (LW2) for the intercept, 0.04 (FL1), 0.04 (FL2), 0.11 (LW1) and 0.06 (LW2) for the linear, 0.03 (FL1), 0.04 (FL2) 0.11 (LW1) and 0.06 (LW2) for the quadratic term. Heritability estimates for weekly means of daily feed intake were the lowest in week 4 (FL1: 0.11, FL2: 0.11) and week 1 (LW1: 0.09, LW2: 0.10), and the highest in week 11 (FL1: 0.25, FL2: 0.24) and week 8 (LW1: 0.19, LW2: 0.18), respectively. Genetic eigenfunctions revealed that altering the shape of the feed intake curve by selection is difficult.

Keywords

random regression variance component Gibbs sampling feed intake pig 

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Copyright information

© INRA, EDP Sciences 2001

Authors and Affiliations

  • Urs Schnyder
    • 1
    • 3
  • Andreas Hofer
    • 1
    • 3
  • Florence Labroue
    • 2
    • 3
  • Niklaus Künzi
    • 1
    • 3
  1. 1.Institute of Animal ScienceSwiss Federal Institute of Technology (ETH)ZurichSwitzerland
  2. 2.Institut technique du porcLa Motte au VicomteFrance
  3. 3.Swiss Brown Cattle Breeders' FederationZugSwitzerland

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