Czech J. Anim. Sci., 2008, 53(6):227-237 | DOI: 10.17221/360-CJAS

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

H. Krejčová1, J. Přibyl1, J. Přibylová1, M. Štípková1, N. Mielenz2
1 Institute of Animal Science, Prague-Uhříněves, Czech Republic
2 University of Halle-Wittenberg, Germany

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.

Keywords: daily gains; curve; random regression; heritability; correlation; bulls

Published: June 30, 2008  Show citation

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Krejčová H, Přibyl J, Přibylová J, Štípková M, Mielenz N. Genetic evaluation of daily gains of dual-purpose bulls using a random regression model. Czech J. Anim. Sci. 2008;53(6):227-237. doi: 10.17221/360-CJAS.
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    References

    1. Albuquerque L.G., Meyer K. (2001): Estimates of direct and maternal genetic effects for weights from birth to 600 days of age in Nelore cattle. J. Anim. Breed. Genet., 118, 83-92. Go to original source...
    2. Bartoň L., Kudrna V., Bureš D., Zahrádková R., Teslík V. (2007): Performance and carcass quality of Czech Fleckvieh, Charolais and Charolais × Czech Fleckvieh bulls fed diets based on different types of silages. Czech J. Anim. Sci., 52, 269-276 Go to original source...
    3. BIF (1996): Guidelines for uniform beef improvement programs. Beef Improvement Federation. USA.
    4. Bogdanovic V., Djurdjevic R., Petrovic M. (2002): Changes in components of variance of growth traits in performance testing of Simmental bulls. In: 7th WCGALP, August 19-23, Montpellier, France, 2-82.
    5. Bouška J., Štípková M., Frelich J., Zedníková J., Bartoň L. (2003): Genetic parameters of the traits recorded in the performance test of dual-purpose bulls. Czech J. Anim. Sci., 48, 413-418.
    6. Druet T., Jaffrézic F., Boichard D., Ducrocq V. (2003): Modelling lactation curves and estimation of genetic parameters for first lactation test-day records of French Holstein cows. J. Dairy Sci., 86, 2480-2490. Go to original source... Go to PubMed...
    7. Hrouz J., Gotthardová J. (2000): Growth analysis and its application to selection of cattle of commercial meat type. Czech J. Anim. Sci., 45, 241-248.
    8. Krejčová H., Mielenz N., Přibyl J., Schüler L. (2007a): Estimation of genetic parameters for daily gains of bulls with multi-trait and random regression models. Arch. Tierzucht, 50, 37-46. Go to original source...
    9. Krejčová H., Mielenz N., Přibyl J., Schüler L. (2007b): Comparison of breeding values for daily gains of bulls estimated with multi-trait and random regression models. Arch. Tierzucht, 50, 147-154. Go to original source...
    10. Meyer K. (1999a): Estimates of genetic and phenotypic covariance functions for postweaning growth and mature weight of beef cows. J. Anim. Genet., 116, 181-205. Go to original source...
    11. Meyer K. (1999b): Estimates of direct and maternal genetic covariance functions for early growth of Australian beef cattle. In: 50th Ann. Meet. EAAP, August 22-26, Zűrich, Switzerland, Book of Abstracts, No. G 2.8,14 pp.
    12. Meyer K. (2001): Estimates of direct and maternal covariance function for growth of Australian beef calves from birth to weaning. Genet. Sel. Evol., 33, 487-514. Go to original source... Go to PubMed...
    13. Mielenz N., Krejčová H., Přibyl J., Schüler L. (2007): Anpassung eines Fixed Regression Model für die tägliche Zunahme von Fleckviehbullen mit Hilfe von Informationskriterien. Arch. Tierzucht, 50, 47-58. Go to original source...
    14. Misztal I., Tsuruta S., Strabel T., Auvray B., Druet T., Lee D.H. (2002): BLUPF90 and related programs (BGF90). In: 7th WCGALP, August 19-23, Montpellier, France, 28-07.
    15. Nešetřilová H. (2005): Multiphasic growth models for cattle. Czech J. Anim. Sci., 50, 347-354. Go to original source...
    16. Nobre P.R.C., Misztal I., Tsuruta S., Bertrand J. K., Silva L.O.C., Lopez P.S. (2002): Genetic evaluation of growth in beef cattle with a random regression model. In: 7th WCGALP, August 19-23, Montpellier, France, 20-10.
    17. Přibylová J., Vostrý L., Veselá Z., Přibyl J., Bohmanová J. (2004): Breeding value for own growth of beef bulls in performance-test station. Anim. Sci. Pap. Rep., 22, 97-103.
    18. Přibyl J., Krejčová H., Přibylová J., Misztal I., Bohmanová J. (2006): Analysis of daily gains of performance tested dual-purpose bulls using Legendre polynomials and linear splines. In: 8 th WCGALP. August 13-18, Belo Horizonte, Brazil. 25-12.
    19. Přibyl J., Krejčová H., Přibylova J., Misztal I., Bohmanová J., Štípková M. (2007a): Trajectory of body weight of performance tested dual-purpose bulls. Czech J. Anim. Sci., 52, 315-324. Go to original source...
    20. Přibyl J., Krejčová H., Přibylová J., Misztal I., Mielenz N., Kučera J., Ondráková M. (2007b): Genetic evaluation of growth of dual-purpose bulls. In: 58 th Ann. Met. EAAP, August 26-29, Dublin, Ireland. Book of Abstracts, 11-2, 104 pp.
    21. Přibyl J., Krejčová H., Přibylova J., Misztal I., Tsuruta S., Mielenz N. (2008): Models for evaluation of growth of performance tested bulls. Czech J. Anim. Sci., 53, 45-54. Go to original source...
    22. SAS (2005): SAS/STAT User's Guide, Version 9.1. SAS Institute Inc., Cary, North Carolina, USA.
    23. Schaeffer L.R., Jamrozik J., Kistemaker G.J., Van Doormaal B.J. (2000): Experience with a test-day model. J. Dairy Sci., 83, 1135-1144. Go to original source... Go to PubMed...
    24. Vuori K., Stranden I., Sevon-Aimonen M.-L., Mäntysaari E.A. (2006): Estimation of non-linear growth models by linearization: a simulation study using a Gompertz function. Genet. Sel. Evol., 38, 343-358. Go to original source... Go to PubMed...
    25. Wolc A., Lisowski M., Szwaczkowski T. (2007): Heritability of egg production in laying hens under cumulative, multitrait and repeated measurement animal models. Czech J. Anim. Sci., 52, 254-260. Go to original source...
    26. Zavadilová L., Jamrozik J., Schaeffer L.R. (2005a): Genetic parameters for test-day model with random regressions for production traits of Czech Holstein cattle. Czech J. Anim. Sci., 50, 142-54. Go to original source...
    27. Zavadilová L., Němcová E., Přibyl J., Wolf J. (2005b): Definition of subgroups for fixed regression in the testday animal model for milk production of Holstein cattle in the Czech Republic. Czech J. Anim. Sci., 50, 7-13. Go to original source...

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