Volume 9, Issue 19 (6-2018)                   rap 2018, 9(19): 76-82 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

behmaram R, akbari P, Shakouri M D, Kazemi M. (2018). The Effect of Calving Season on Some of Productive and Reproductive Traits in Tehran Province’s Holstein Cows. rap. 9(19), 76-82. doi:10.29252/rap.9.19.76
URL: http://rap.sanru.ac.ir/article-1-788-en.html
University of Mohaghagh Ardabili
Abstract:   (3715 Views)

     The aim of this research was to investigate the calving season effect on some of the productive traits including milk production, fat percentage and some of reproductive traits including pregnancy period and calf birth weight and also estimation of genetic parameters of studied traits too. In this study the data of 22360 Holestein dairy cows form Tehran province’s 65 herds of between 2012 to 2016 was used that were collected by the country animal breeding center. The study of fixed effects (HYS) and comparison of means was carried out with GLM Procedure of SAS 9.2 software. Estimation of genetic parameters was done by ASReml 3.0 software. The effect of calving season on all traits was significant (p<0.05). The highest milk production was calculated in autumn (8765.93±43.41 kg). The highest and lowest amount of fat percentage was in autumn (3.20±0.01 %) and winter (3.18±0.01 %) respectively. The longest and shortest pregnancy period was observed in summer (289.93±1.65 days) and spring (291.33±1.66 days) respectively (p<0.05). The highest and lowest birth weight of calf was in winter (42.86±0.37 kg) and summer (42.31±0.34 kg) respectively (p<0.05). Heritability of milk production, fat percentage, pregnancy period and calf birth weight was 0.17 ± 0.01, 0.02 ± 0.01, 0.03 ± 0.008 and 0.30 ± 0.11 respectively. The genetic and phenotypic correlation between milk production and fat percentage was calculated 0.29 ± 0.12 and -0.08 ± 0.01 respectively. The genetic and phenotypic correlation between calf birth weight and pregnancy period was 0.20 ± 0.18 and -0.05 ± 0.03. Using management programs like determination of suitable time for insemination of ready cows for pregnancy can result in improvement of milk production and fat percentage in autumn and winter. In regard to positive correlation between calf birth weight and pregnancy period, accurate management and appropriate nutrition can be effective in reducing of dystocia rate in cold seasons.

Full-Text [PDF 1195 kb]   (1630 Downloads)    
Type of Study: Research | Subject: ژنتیک و اصلاح نژاد دام
Received: 2017/09/23 | Revised: 2018/08/8 | Accepted: 2017/11/6 | Published: 2018/06/24

References
1. Akbulut, O., B. Bayaram and M. Yanar. 2001. Estimates of phenotypic and genetic parameters on Birth weight of Brown swiss and Holstein Friesian calves raised in semi entansif conditions. Journal of LalahanLivestock ResearchInstitute, 41: 11-20.
2. Aksakal, V. and B. Bayram. 2009. Estimates of Genetic and Phenotipyc Parameters for the Birth Weight of Cows of Holstein Friesian Cattle Reared Organically. Journal of Animal and Veterinary Advances, 8: 568-572.
3. Amasaib, E.O., A.M. AbuNikhaila, A.N.M.A. FadelElseedand and H.E. Mohamed. 2008. Effect of season of calving and parity on some productive traits in pure and crossbred cattle in Sudan. Journal of Dairy Science, 2: 5-8.
4. Amini, A., A. Aslami‌nezhad and M. Tahmoures‌pour. 2011. Estimation of Genetic Parameters of Productive Traits of Holstein Cows in Khorasan Razavi Province. Iranian Journal of Animal ScienceResearche, 2: 171-187 (In Persian).
5. Bertocchi, L., A. Vitali, N. Lacetera, A. Nardone, G. Varisco and U. Bernabucci. 2014. Seasonal variations in the composition of Holstein cow's milk and temperature-humidity index relationship.Animal, 8: 667-674. [DOI:10.1017/S1751731114000032]
6. Claudio, N.C., M.R. Claudio, U.P. Irineu, F. Ary Ferreira, T. Nilson and A.C. Jaime. 2008. Genetic parameters for test day milk yield of first lactation Holstein cows estimated by random regression using Legendre polynomials. RevistaBrasileira de Zootecnia, 37: 602-608. [DOI:10.1590/S1516-35982008000400003]
7. Coffey, M.P., J. Hickey and S. Brotherstone. 2006. Genetic aspects of growth of Holstein-Fiesian dairy cows from birth to maturity. Journal of Dairy Science, 89: 322-329. [DOI:10.3168/jds.S0022-0302(06)72097-5]
8. Dahl, G.E., B.A. Buchanan and H.A. Tuckert. 2000. Photoperiodic effects on dairy cattle. Journal of Dairy Science, 83: 885-893. [DOI:10.3168/jds.S0022-0302(00)74952-6]
9. Dahlin, A., U.N. Khan, A.H. Zafar, M. Saleem, A. Chaudhry and J. Philipsson. 1998. Genetic and environmental causes of variation in milk production traits of Sahiwal cattle in Pakistan. Journal of Animal Science, 66: 307-318. [DOI:10.1017/S1357729800009437]
10. De, J. 2005. Usage of predictors for Fertility in the genetic evaluation application in the Netherlands. In: Proceedings of the 2005 INTERBULL Meeting Uppsala, 33: 69-73. [DOI:10.1016/S0144-8609(05)00047-6]
11. Deimi‌ghias‌abadi, P., S. Alijani, J. Shoja‌ghias and N. Pirani. 2012. Comparison between two statistical procedures: Restricted maximum likelihood estimation and Bayesian analysis to estimation of Genetic parameters of some important economical traits in Fars province local hens. Research on Animal Production, 5: 1-13 (In Persian).
12. Dematawena, C.M. and P.J. Berger. 1997. Effect of dysto-cia on yield, fertility, and cow losses and an economic evaluation of dystocia scores for Holsteins. Journal of Dairy Science, 80: 754-761. [DOI:10.3168/jds.S0022-0302(97)75995-2]
13. Dhakal, K., C. Maltecca, J.P. Cassady, G. Baloche, C.M. Williams and S.P. Washburn. 2013. Calf birth weight, gestation length, calving ease, and neonatal calf mortality in Holstein, Jersey and crossbred cows in a pasture system. Journal of Dairy Science, 96: 690-698. [DOI:10.3168/jds.2012-5817]
14. Dong, M.C., L.D. VanVleck and G.R. Wiggans. 1989. Estimates of genetic and environmental (co)variances for first lactation on milk yield, survival and calving interval. Journal of Dairy Science, 72: 678-684. [DOI:10.3168/jds.S0022-0302(89)79159-1]
15. Farhang‌far, H. and H. Naeimi‌pour‌yonesi. 2007. Estimation of Genetic and Phenotypic Parameters of Production and Reproduction Traits in the Holstein Bovine Breed of Iran, Journal of Science and Technology of Agriculture and Natural Resources, 1: 431-441 (In Persian).
16. Gengler, N., A. Tijani, G.R. Wiggans and J.C. Philpot. 2001. Estimation of (co)variance functions for test-day yields during first and second lactations in the United States. Journal of Dairy Science, 84: 542-550. [DOI:10.3168/jds.S0022-0302(01)74505-5]
17. Gilmour, A.R., R. Thompson, B.R. Cullins and S.J. Welham. 2000. ASREML Reference Manual. NSW Agriculture, Orange, Australia.
18. Hansen, M., M.S. Lund, J. Pedersen and L.G. Christensen. 2004. Gestation length in Danish Holsteins has weak genetic associations with stillbirth, calving difficulty and calf size. Livestock Production Science, 91: 23-33. [DOI:10.1016/j.livprodsci.2004.06.007]
19. Johanson, J.M., P.J. Berger, S. Tsuruta and I. Misztal. 2011. A Bayesian threshold-linear model evaluation of perinatal mortality, dystocia, birth weight and gestation length in a Holstein herd. Journal of Dairy Science, 94: 450-460. [DOI:10.3168/jds.2009-2992]
20. KhaaratiKoopaei, H., M.R. Mohammad Abadi, S. Ansari Mahyari, A.R. Tarang, P. Potki and A.K. Esmailizadeh. 2012. Effect of DGAT1 variants on milk composition traits in Iranian Holstein cattle population. Animal Science Pepers& Reports, 30: 231-240.
21. KhaaratiKoopaei, H., M.R. Mohammad Abadi, S. Ansari Mahyari, A.K. Esmailizadeh, A.R. Tarang and M. Nikbakhti. 2011. Genetic variation of DGAT1 gene and its association with milk production in Iranian Holstein cattle breed population. Iranian Journal of Animal Science Research, 3(2): 185-192 (In Persian).
22. Kheir‌abadi, K.H. and S. Alijani. 2014. Comparision between two statistical models: uni and multi variate Random Regression to estimate of Genetic parameters of productive traits in Holstein dairy cattles. Research on Animal Production, 10: 179-189 (In Persian).
23. Kocak, S., M. Tekerli, C. Ozbeyaz and B. Yuceer. 2007. Environmental and genetic effects on birth weight and survival rate in Holstein calves. Turkish Journal of Veterinary and Animal Science, 31: 241-246
24. Linden, T.C., R.C. Bicalho and D.V. Nydam. 2009. Calf birth weight and its association with calf and cow survivability, disease incidence, reproductive performance, and milk production. Journal of Dairy Science, 92: 2580-2588. [DOI:10.3168/jds.2008-1603]
25. Moghbeli, S.M., A. Barazandeh, M. Vatankhah and M.R. Mohammad Abadi. 2013. Genetic and non-genetics parameters of bady weight for post-weaning traits in Reaini Cashmere goats. Tropical animal health and production, 45: 1519-1524. [DOI:10.1007/s11250-013-0393-4]
26. Montaldo, H., H. Castillo-Juárez, M. Valencia-Posadas, E.G. Cienfuegos-Rivas and F.J. Ruiz-López. 2010. Genetic and environmental parameters for milk production, udder health and fertility traits in Mexican Holstein cows. Journal of Dairy Science, 93: 2168-2175. [DOI:10.3168/jds.2009-2050]
27. Moradi‌Shahre‌babak, M., M. Sadeghi, R. Miraei‌ashtiani and M.B. Sayad‌nejad. 2006. Inconsistency of Variance Components of Milk at Different Levels of Production of Holstein Cows in Iran. Journal of Science and Technology of Agriculture and Natural Resources, 3: 437-443 (In Persian).
28. Nafez, M., S. Zereh‌daran, S. Hasani and R. Samiei. 2012. Genetic evaluation of the productive and reproductive traits of Holstein dairy cows in northern Iran. Iranian Journal of Animal Science Resesarch, 4: 69-77 (In Persian).
29. Olson, K.M., B.G. Cassell, A.J. McAllister and S.P. Washburn. 2009. Dystocia, stillbirth, gestation length, and birth weight in Holstein, Jersey and reciprocal crosses from a planned experiment. Journal of Dairy Science, 92: 6167-6175. [DOI:10.3168/jds.2009-2260]
30. Pahlavan, R. and A. lstein. 2006. Cattle community. Journal of Animal Science, 3: 1-12 (In Persian).
31. Sargolzaei, M., H. Iwaisaki and J. Jacques. Colleau, A software package for pedigree analysis and monitoring genetic diversity.
32. SAS Institute Inc, 2004. SAS/STAT 9.1 User's Guide. SAS Institute Inc., Cary, NC.
33. Shir‌moradi, Z., A. Salehi, R. Pahlavan and M. Molla‌salehi. 2010. Genetic and phenotypic trends of production and reproduction traits in Holstein dairy cows of Iran. Journal of Animal Production, 2: 21-28 (In Persian).
34. Silva, H.M., C.J. Wilcox, W.W. Thatcher, R.B. Becker and D. Morse. 1992. Factors affecting days open, gestation length, and calving interval in Florida dairy cattle. Journal of Dairy Science, 75: 288-293. [DOI:10.3168/jds.S0022-0302(92)77764-9]
35. Silvestre, A.M., F. Petim-Batista and J. Colaco. 2004. Genetic parameter estimates of Portuguese dairy cows for milk, fat, and protein using a spline test-day model. Journal of Dairy Science, 88: 1225-1230. [DOI:10.3168/jds.S0022-0302(05)72789-2]
36. Tadese, B., M. Tassew and A. Kefelegn. 2015. Heritability, Genetic and Phenotypic Correlations of Milk Production and Reproduction Traits of Ethiopian Boran Cattle with Different Levels of Holstein Friesian Inheritance. Journal of Reproduction and Infertility, 6: 79-83.
37. Urioste, J.I., R. Rekaya, D. Gianola, W.F. Fikse and K.A. Weigel. 2003. Model comparison for genetic evaluation of milk yield in Uruguayan Holsteins. Livestock Production Science, 84: 63-73. [DOI:10.1016/S0301-6226(03)00051-4]
38. Visscher, P.M. and R. Thompson. 1992. Univariate and multivariate parameter estimates for milk production traits using an animal model I. Description and result of REML analyses. Genetic Selection Evolution, 24: 415-430. [DOI:10.1051/gse:19920503]

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Research On Animal Production

Designed & Developed by : Yektaweb