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Genetic evaluation of daily gains of dual-purpose bulls using a random regression model

Author

Listed:
  • H. Krejčová

    (Institute of Animal Science, Prague-Uhříněves, Czech Republic)

  • J. Přibyl

    (Institute of Animal Science, Prague-Uhříněves, Czech Republic)

  • J. Přibylová

    (Institute of Animal Science, Prague-Uhříněves, Czech Republic)

  • M. Štípková

    (Institute of Animal Science, Prague-Uhříněves, Czech Republic)

  • N. Mielenz

    (University of Halle-Wittenberg, Germany)

Abstract

Daily gains of 8 243 dual-purpose bulls from 100 to 400 days of age during the years 1971 to 2007 were analyzed by random regression models. Orthogonal Legendre polynomials (LP) of degree 4 were applied to daily gains calculated at 30-day intervals over the test period. Fixed curves were estimated within the station-year-season of birth. The models also included a fixed station-year-season of weighing, animal additive genetic effects and animal permanent environmental effects. The peak daily gain was attained between 230 and 280 days of age, which corresponded to the period of the lowest variance in daily gains. Heritability estimates of daily gain were in the range of 0.014 to 0.043. The reliability of composite trait - cumulative gains over the entire period was 0.87. Genetic correlations between gains at different ages were high for adjacent ages and decreased with increasing difference in ages. Correlations of permanent environmental effects were high for adjacent ages, but became negative for ages that were far apart, indicating the possibility of compensatory growth. The phenotypic correlations were close to zero. The correlations for cumulative daily gains were higher than those for individual daily gains.

Suggested Citation

  • H. Krejčová & J. Přibyl & J. Přibylová & M. Štípková & N. Mielenz, 2008. "Genetic evaluation of daily gains of dual-purpose bulls using a random regression model," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 53(6), pages 227-237.
    • Handle: RePEc:caa:jnlcjs:v:53:y:2008:i:6:id:360-cjas
    DOI: 10.17221/360-CJAS
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    References listed on IDEAS

    as
    1. J. Přibyl & H. Krejčová & J. Přibylová & I. Misztal & J. Bohmanová & M. Štípková, 2007. "Trajectory of body weight of performance tested dual-purpose bulls," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 52(10), pages 315-324.
    2. A. Wolc & M. Lisowski & T. Szwaczkowski, 2007. "Heritability of egg production in laying hens under cumulative, multitrait and repeated measurement animal models," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 52(8), pages 254-260.
    3. L. Zavadilová & E. Němcová & J. Přibyl & J. Wolf, 2005. "Definition of subgroups for fixed regression in the test-day animal model for milk production ofHolsteincattle in theCzech Republic," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 50(1), pages 7-13.
    4. J. Přibyl & H. Krejčová & J. Přibylova & I. Misztal & S. Tsuruta & N. Mielenz, 2008. "Models for evaluation of growth of performance tested bulls," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 53(2), pages 45-54.
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    Cited by:

    1. J. Přibyl & J. Haman & T. Kott & J. Přibylová & M. Šimečková & L. Vostrý & L. Zavadilová & V. Čermák & Z. Růžička & J. Šplíchal & M. Verner & J. Motyčka & L. Vondrášek, 2012. "Single-step prediction of genomic breeding value in a small dairy cattle population with strong import of foreign genes," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 57(4), pages 151-159.
    2. M. Gholizadeh & G. Rahimi Mianji & M. Hashemi & H. Hafezian, 2010. "Genetic parameter estimates for birth and weaning weights in Raeini goats," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 55(1), pages 30-36.
    3. J. Přibyl & J. Přibylová & H. Krejčová & N. Mielenz, 2008. "Comparison of different traits to evaluate the growth of bulls," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 53(7), pages 273-283.

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