Bìol. Tvarin, 2019, volume 21, issue 2, pp. 54–57

EVALUATION OF REPRODUCTIVE PERFORMANCE ON LARGE-SCALE HUNGARIAN DAIRY FARMS

L. Ózsvári, I. Fodor

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University of Veterinary Medicine,
István út. 2, Budapest, 1078, Hungary

The aim of our study was to survey the reproductive performance of replacement heifers and cows in large commercial dairy herds by collecting the most commonly used reproductive indices and to introduce novel parameters to evaluate fertility in dairy units.

The authors surveyed the major reproductive indices on 34 large commercial dairy farms from all the statistical regions in Hungary between May and November 2015. Individual data were gathered for 50,396 heifers first inseminated between 1 January 2011 and 31 December 2014, and for 25,672 cows that calved between 1 January 2014 and 31 December 2014 in the surveyed herds. The number of cows covered 14.6 % of the total Hungarian milk recorded Holstein-Friesian cow population.

The average (±standard deviation) age at first service, age at first calving and average first service conception rate (CR1) were 15.53±1.59 months, 25.61±2.22 months and 47.10 %, respectively. 8.6 % of the inseminated heifers were culled prior to first calving, at 23.94±3.95 months of age, on average. For cows, calving interval (CI) was 435 days (392–490), CR1 was 26.52 % (11.26–51.40 %), and services per conception (SPC) was 4.04 (2.56–6.16), respectively. The breeding interval (IBI) was 31.38 days (22.00–56.03), and the proportion of reproductive culling was 31.68 % out of all premature disposals (7.57–69.70 %), on average.

The use of some relevant parameters (PR, CR1, CCI) is enough for the daily routine, but in-depth analysis is required when the reproductive performance is diminishing.

Keywords: DAIRY CATTLE, REPRODUCTION, REPRODUCTIVE PARAMETERS, PREGNANCY RATE, CALVING INTERVAL

  1. Farin P. W., Slenning B. D. Managing Reproductive Efficiency in Dairy Herds. In: Radostits O. M. (ed.): Herd Health. Philadelphia, Saunders, 2001, pp. 255–289.
  2. Ferguson J. D., Skidmore A. Reproductive performance in a select sample of dairy herds. Journal of Dairy Science, 2013, vol. 96,issue 2, pp. 1269–1289. https://doi.org/10.3168/jds.2012-5805
  3. Fodor I., Abonyi-Tóth Zs., Ózsvári L. Management practices associated with reproductive performance in Holstein cows on large commercial dairy farms. Animal, 2018, vol. 12, issue 11, pp. 2401–2406. https://doi.org/10.1017/S1751731118000101
  4. Fodor I., Baumgartner W., Abonyi-Tóth Zs., Lang Zs., Ózsvári L. Associations between management practices and major reproductive parameters of Holstein-Friesian replacement heifers. Animal Reproduction Science, 2018, vol. 188, pp. 114–122. https://doi.org/10.1016/j.anireprosci.2017.11.015
  5. Fodor I., Baumgartner W., Monostori A., Abonyi-Tóth Zs., Ózsvári L. Dairy heifer reproductive management and performance on large Hungarian commercial farms. Magyar Állatorvosok Lapja, 2018, vol. 140, issue 2, pp. 67–74.
  6. Fodor I., Búza L., Ózsvári L. Reproductive management and major fertility parameters of cows in large-scale Hungarian dairy herds. Magyar Állatorvosok Lapja, 2016, vol. 138, issue 11, pp. 653–662. (in Hungarian)
  7. Fodor I., Cziger Zs., Ózsvári, L. Economic analysis of the application of reproductive ultrasound examinations on a large-scale dairy farm. Magyar Állatorvosok Lapja, 2016, vol. 138, issue 9, pp. 515–522. (in Hungarian)
  8. Fodor I., Ózsvári L. Early pregnancy diagnosis in dairy herds and its economic importance. Magyar Állatorvosok Lapja, 2017, vol. 139, no. 1, pp. 3–15. (in Hungarian)
  9. Heersche G., Nebel R. L. Measuring efficiency and accuracy of detection of estrus. Journal of Dairy Science, 1994, vol. 77, issue 9, pp. 2754–2761. https://doi.org/10.3168/jds.S0022-0302(94)77218-0
  10. Kranjec F., Fodor I., Földi J., Ózsvári L. Comparative analysis of the reproductive performance of dairy herds based on standardized parameters in Hungary. Magyar Állatorvosok Lapja, 2016, vol. 138, issue 8, pp. 451–462. (in Hungarian)
  11. National Food Chain Safety Office, Livestock Performance Testing Ltd. Standard lactational milk yield 2016. National Cattle Database, 2017.
  12. Norman H. D., Wright J. R., Hubbard S. M., Miller R. H., Hutchison J. L. Reproductive status of Holstein and Jersey cows in the United States. Journal of Dairy Science, 2009, vol. 92, issue 7, pp. 3517–3528. https://doi.org/10.3168/jds.2008-1768
  13. Ózsvári L., Kerényi J. Quantification of losses due to reproductive disorders on a large-scale Holstein-Friesian dairy farm. Magyar Állatorvosok Lapja, 2004, vol. 126, issue 9, pp. 523–531. (in Hungarian)
  14. R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2016. Available at: http://www.R-project.org
  15. Roelofs J., López-Gatius F., Hunter R. H. F., Eerdenburg van F. J. C. M., Hanzen C. When is a cow in estrus? Clinical and practical aspects. Theriogenology, 2010, vol. 74, issue 3, pp. 327–344. https://doi.org/10.1016/j.theriogenology.2010.02.016

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