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Breeding value for type traits in beef cattle in theCzech Republic

Author

Listed:
  • Z. Veselá

    (Research Institute of Animal Production, Prague-Uhříněves, Czech Republic)

  • J. Přibyl

    (Research Institute of Animal Production, Prague-Uhříněves, Czech Republic)

  • P. Šafus

    (Research Institute of Animal Production, Prague-Uhříněves, Czech Republic)

  • L. Vostrý

    (Research Institute of Animal Production, Prague-Uhříněves, Czech Republic)

  • K. Šeba

    (Czech Beef Cattle Association, Prague, Czech Republic)

  • L. Štolc

    (Czech Agricultural University, Prague, Czech Republic)

Abstract

The type was evaluated in 5 424 young animals of twelve beef breeds. Ten type traits were evaluated: height at sacrum (HS), body length (BL), live weight (LW), front chest width (CW), chest depth (CD), pelvis (P), shoulder muscling (SM), back muscling (BM), rump muscling (RM) and production type (PT). The traits represent two groups: (1) traits scoring body measurements and body capacity (HS, BL, LW, CW, CD, P) and (2) traits scoring muscling (SM, BM, RM, PT). These fixed effects were included in the model: breed, sex, HYS, mother's age, linear regression on age at evaluation and average gain from birth to evaluation. Fixed effects in the model explained 40% to 60% of variability. The highest values of heritability coefficient were estimated for HS (h2 = 0.51) and LW (h2 = 0.50). BL had the lowest values of heritability coefficient (h2 = 0.25). The values h2 = 0.25-0.32 were calculated for the traits scoring body capacity (CW, CD, P). The range of values for muscling traits was h2 = 0.26-0.35. The coefficient of heritability for PT was h2 = 0.34. All traits scoring muscling and PT showed high genetic correlations (rg > 0.95). The traits scoring body capacity (P, CW, CD) were highly genetically correlated with muscling rg > 0.83. Breeding values were determined by a multi-trait animal model. Standard deviations of breeding values were higher in HS (sBV = 0.71) and LW (sBV = 0.84), which was connected with a different method of evaluation of these traits. They were in the range of 0.19 (BL) to 0.30 (RM) in the other traits.

Suggested Citation

  • Z. Veselá & J. Přibyl & P. Šafus & L. Vostrý & K. Šeba & L. Štolc, 2005. "Breeding value for type traits in beef cattle in theCzech Republic," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 50(9), pages 385-393.
    • Handle: RePEc:caa:jnlcjs:v:50:y:2005:i:9:id:4223-cjas
    DOI: 10.17221/4223-CJAS
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    Citations

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    Cited by:

    1. P. Šafus & J. Přibyl & Z. Veselá & L. Vostrý & M. Štípková & L. Stádník, 2006. "Selection indexes for bulls of beef cattle," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 51(7), pages 285-298.
    2. L. Vostrý & J. Přibyl & P. Šimeček, 2012. "Reduction of traits for genetic evaluation of linear described traits in the Old Kladruber horse," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 57(4), pages 160-170.
    3. J. Ducháček & J. Přibyl & L. Stádník & L. Vostrý & J. Beran & L. Štolc, 2011. "Stability of Aberdeen Angus breeding values in the Czech Republic from 1997 to 2007," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 56(11), pages 509-520.
    4. Z. Veselá & L. Vostrý & P. Šafus, 2011. "Linear and linear-threshold model for genetic parameters for SEUROP carcass traits in Czech beef cattle," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 56(9), pages 414-426.
    5. L. Vostrý & Z. Čapková & J. Přibyl & K. Mach, 2011. "Analysis of Czech cold-blooded horses: genetic parameters, breeding value and the influence of inbreeding depression on linear description of conformation and type characters," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 56(5), pages 217-230.
    6. Z. Veselá & J. Přibyl & L. Vostrý & L. Štolc, 2007. "Stochastic simulation of the influence of insemination on the estimation of breeding value and its reliability," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 52(8), pages 236-248.

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