Effect of Open Days in Holstein Dairy Cows on Genetic Ranking of the Bulls

Subject Areas : Journal of Animal Biology

Roohallah Barzehkar ¹ (Department of Animal Science, Science and Research Branch, Islamic Azad University, Tehran, Iran)
Nasser Emam jomeh kashan ² (Department of Animal Science, Science and Research Branch, Islamic Azad University, Tehran, Iran)
Masuod Asadi fozi ³ (Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran)
Mohammad Chamani ⁴ (Department of Animal Science, Science and Research Branch, Islamic Azad University, Tehran, Iran)

Received: 2023-03-13 Accepted : 2023-06-02 Published : 2023-11-22

Keywords: Reproduction, milk production, dairy cattle, Bulls Breeding Value,

Abstract :

Milk production and fertility are important traits for genetic evaluation of bulls in breeding programs. The goal of this research was to investigate the reproduction and fertility status in Iranian Holstein dairy cattle and effect of days open on the milk production and genetic ranking of bulls. A total number of 706,653 test day records of first parity of 78,517 Holstein cows in 448 herds during the years from 1991 to 2016 were used. The phenotypic and genetic relationship of the amount of milk production in 270 days and the number of open days and their genetic parameters were estimated through a two-trait model. Also data were analyzed using a random regression model and predicted the breeding values of bulls. The results showed that in the studied population, 7.7 and 60% of the cows in the herds became pregnant by 45 and 112 days after calving, respectively and 54.6% of successful pregnancies occur after 90 days in milk. The heritability of 270 days milk and open days and their genetic correlation were estimated of to be 0.257 (±0.016) and 0.0314 (±0.004) and 0.538 (±0.06) respectively. The range of estimated heritability of 270 days milk for first to ninth groups were 0.11-0.26. Days open was a source of variation of the parameter. The results showed that number of open days affected the predicted breeding value of bulls and their ranking. It is concluded that, in sire evaluation programs in order to increase the accuracy of breeding value prediction of the sires it is necessary to include the variable of number of open days in the statistical models.

References:

1. Aghajari, Z. Ayatollahi Mehrgardi, A., Tahmasbi, & Moghbeli, M. 2015. Genetic and phenotypic trends of productive and reproductive traits in Iranian Holstein dairy cattle of Isfahan province. Iranian J. Applied Anim. Sci. 5(4): 819-825.


2. Bastin, C., Berry, D. P., Soyeurt, H. & Gengler, N. Genetic correlations of days open with production traits and contents in milk of major fatty acids predicted by mid-infrared spectrometry. J. Dairy Sci. 95: 6113–6121


3. Berry, D. P., Wall, E. & Pryce, J. E. 2014. Genetics and genomics of reproductive performance in dairy and beef cattle. Animal. 8(Supplements1): 105-121.


4. Bisinotto, R. S., Ribeiro, E. S. and Santos J. E. P. 2014. Synchronisation of ovulation for management of reproduction in dairy cows. Animal. 8 (Supplements1):151-


5. Bitaraf Sani, M., Aslaminejad, AA. & Seyeddokht, A. 2013. Genetic evaluation of age at first calving, open days and milk production of Holstein cattle in Iran. Iranian j. Anim. Sci. Res. 5 (1): 62 -68.


6. Bousquet, D., Bouchard, E. & DuTremblay, D. 2004. Decreasing fertility in dairy cows: myth or reality? Med Vet Q, 34:59-61.


7. Butler, S. T. 2014. Nutritional management to optimize fertility of dairy cows in pasture-based systems. Animal. 8(Supplements1): 15-26.


8. Cameron, N. D. 1997. Selection indices and prediction of genetic merit in animal breeding. ISBN: 978-0-85199-169-6 CABI. Wallingford. UK


9. Cammack, K. M, Thomas, M. G. & Enns, R. M. 2009. Review: Reproductive traits and their heritabilities in beef cattle. Anim. Sci. 25: 517–528.


10. Chegini, A., Shadparvar, A.A. & Ghavi Hossein‐Zadeh, N. (2015). Genetic parameter estimates for lactation curve parameters, milk yield, age at first calving, calving interval and somatic cell count in Holstein cows. Iranian. J. Applied Anim. 5 (1): 61-67.


11. Johnston, D.J., Barwick, S.A., Fordyce, G., Holroyd, R.G., Williams, P.J., Corbet, N.J. & Grant, T. 2014. Genetics of early and lifetime annual reproductive performance in cows of two tropical beef genotypes in northern Australia. Prod. Sci. 54: 1-15.


12. Liu, Z., Jaitner, J., Reinhardt, F., Pasman, E., Rensing, S. & Reents, R. 2008. Genetic evaluation of fertility traits of dairy cattle using a multiple-trait animal model. Dairy Sci. 91: 4333–4343.


13. Mee, J. (2004). Managing the dairy cow at calving time. Clin. North Am, Food Anim. Pract. 20:521-546.


14. Mehraban, H., Esmaeili, Fard, SM., Najafi, M., Mashaei, BF. & Khoshoi, E A. 2014.Genetic analysis of milk yield and open days traits of Holstein dairy cattle in Iran for first five lactation. Iranian Anim. Sci. 45(1): 27-36. (In Farsi)


15. Mrode, R. A. 2014. Linear models for the prediction of animal breeding values. 3rd ed. CABI, ISBN-13: 978 1 84593 981 6 (Pbk).


16. Nafez, M., Zerehdaran, S., Hassani, S. & Samiei, R. 2012. Genetic evaluation of productive and reproductive traits of Holstein dairy cows in the north of Iran. Iranian J. Anim. Sci. Research. 4(1): 69-77. (In Farsi)


17. Patton, J., Kenny, D. A., Mc Namara, S., Mee, J. F., O’Mara, F. P., Diskin, M. G. & Murphy, J. J. 2007. Relationships among milk production, energy balance, plasma analytes, and reproduction in Holstein-Friesian cows. J. Dairy Sci. 90:649–658.


18. Van Doormaal, B. & Beavers, L. 2016. Balancing reproductive performance and lactation yields. Avalible from https://www.cdn.ca/articles.php; Internet; Accessed May 2016.


19. Vanek, D. 2004. A relationship between production and reproduction traits in cows of Czech Pied Czech J. Anim. Sci. 49: 131–136.


20. Veerkamp, R. F., Beerda, B. & Van der Lende, T. 2003. Effects of genetic selection for milk yield on energy balance, levels of hormones, and metabolites in lactating cattle, and possible links to reduced fertility. Livest. Sci. 83 (2- 3): 257-275.