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advanced genetic models for pi train boars involved in crossbreeding in the walloon region using test station and on-farm phenotypic and genomic data – PowerPoint PPT presentation

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Title: Pr


1
Advanced genetic models for Piétrain boars
involved in crossbreeding in the Walloon Region
using test station and on-farm phenotypic and
genomic data 
M. Dufrasne 1,2, V. Jaspart 3, J. Wavreille 4 et
N. Gengler 1 1 University of Liège, Gembloux
Agro Bio-Tech, Animal Science Unit - Gembloux 2
F.R.I.A. - Brussels 3 Walloon Pig Breeders
Association (AWEP) - Ciney 4 Walloon
Agricultural Research Centre (CRA-W) - Gembloux
Objective To develop genetic evaluation models
combining test station and on-farm data to
estimate the genetic values of Piétrain boars for
crossbred performances
  • CONTEXT
  • New genetic evaluation program for Walloon
    Piétrain boars tested in test station
  • Test station progeny test for production traits
    (growth, carcass quality traits and feed intake)
  • On-farm performance test for traits recorded on
    live pigs (weight and carcass quality traits)
  • Crossbred progeny from Piétrain sires and
    Landrace K dams
  • Growth
  • Data
  • 17 483 live weight from 2 076 crossbred progeny
    of Piétrain boars recorded at the test station
    between 50 and 210 days of age
  • 54 068 live weight from 50 824 purebred and
    crossbred pigs recorded on-farm between 175 and
    250 days of age
  • Breed types purebred Piétrain and Landrace
    (on-farm) crossbred Piétrain X Landrace (test
    station and on-farm)
  • Data recorded on females, entire and castrated
    males
  • Data standardized for each day of age and
    pre-adjusted at 210 days to take into account
    variance heterogeneity
  • Model (Dufrasne et al., 2011) Bi-trait animal
    model with random regressions using linear
    splines (knots at 50, 100, 175 and 210 days for
    test station weight knots at 175, 210 and 250
    days for on-farm weight)
  • y Xb Q (Za Zp) e
  • y vector of observations (test station
    and on-farm weight) e vector of random
    residual
  • b vector of fixed effects (sex,
    contemporary group (CG), heterosis) Q matrix
    of linear spline coefficients
  • a vector of random additive
    effect X, Z incidence matrix
  • p vector of random permanent
    environment effect
  • Carcass quality traits
  • Data

Material and Methods
  • RESULTS
  • For 75 Piétrain boars already progeny tested
    until now, breeding values (EBV) were estimated
    using the data and the models described above.
  • For the moment Walloon pig breeders receive EBV
    and associated reliabilities for the following
    traits to base their selection decisions on


ADG between 100 and 210 days Live weight at 210 days
Backfat thickness Loin Muscle depth
Carcass weight Meat percentage
Conformation Index Feed conversion ratio
  • UNDER DEVELOPMENT
  • Global index combining different traits
  • Further enhanced models that will allow also
    estimation of non-additive and crossbreeding
    effects
  • Genomic selection of Walloon Piétrain boars using
    Single Nucleotid Polymorphism (SNP) genotypes to
    estimate additive, non-additive and crossbreeding
    effects

RESEARCH SUPPORTED BY THE WALLOON REGION OF
BELGIUM
Contact marie.dufrasne_at_ulg.ac.be
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