Study of the effect of climate and breeding season on the parameter of phenotypic variance and increasing genetic variance of milk, fat, protein and SCS in Holstein cow

Document Type : (original research)

Authors

1 Department of Animal Sciences, Faculty of Agriculture and Food Industry, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Department of Animal Sciences, Faculty of Agriculture, Varamin-Pishva Branch, Islamic Azad University, Varamin, Iran

Abstract

111543 records of first calving test day milk production with three milking times during the years 1983 to 2016 were used for 142 herds in the Breeding Center data file. The dairy cows under study had 10 test day records. Variables from the herd-year-calving combination as random effect and herd-test-month-age combination at the time of record as fixed effects were created for each animal. Average milk yield in hot and dry climate was higher than hot and wet climate. The average traits of milk fat and milk protein percentage in hot and dry climates were higher than hot and wet climates, but somatic cell traits were higher in hot and wet climates. The phenotypic variance of milk yield was higher in hot and dry regions in all ten test day records. The phenotypic variance of milk fat percent was higher in hot and dry area on the first, second, fifth and sixth test days. The average genetic variance of milk fat percentage in hot and wet region at 9 test day records was higher than in hot and dry region. Phenotypic variance of milk protein percentage in hot and dry area was higher than in hot and wet regions in all test days. In countries where calving occurs throughout the year, mastitis is dependent to the pattern of growth of pathogens in different seasons and years. Changes in animal physiological conditions (calving and changes in breast status) increase the number of somatic cells in milk, which has a physiological effect. As a result, the interaction of genotype and environment changes the ranking of male cows in high-yield, medium-yielding and low-yielding herds. In other words, male cows that have a high corrective value in high-yielding herds may not have the expected yield in low-yielding herds.

Keywords


  1. Bignardi, A.B.; Faro, L.E.; Cardoso, V.L.; Machado, P.F. and Albuquerque, L.G., 2009. Random regression models to estimate test-day milk yield genetic parameters Holstein cows in Southeastern Brazil. Livestock Science. Vol. 123, pp: 1-7.
  2. Bignardi, A.B.; Faro, L.E.; Santana, M.L.; Rosa, G.J.M.; Cardoso, V.L.; Machado, P.F. and Albuquerque, L.G., 2012. Bayesian analysis of random regression models using B-splines to model test-day milk yield of Holstein cattle in Brazil. Livestock Science. Vol. 150, pp: 401-406.
  3. Boichard, D. and Rupp, R., 1997. Genetic analysis and genetic evaluation for somatic cell score in French Dairy Cattle. Station de Genetic Quantitive et Applique. INRA. pp: 54-60.
  4. Bohlouli, M.; Alijani, S.; Naderi, S.; Yin, T. and König, S., 2019. Prediction accuracies and genetic parameters for test-day traits from genomic and pedigree-based random regression models with or without heat stress interactions. J. Dairy Sci. Vol. 102, pp: 488-502.
  5. Cobuci, J.A.; Euclydes, R.F.; Lopes, P.S. and Costa, C.N., 2005. Estimation of genetic parameters for test day milk yield in Holstein cows using a random regression model. Genetics and Molecular Biology. Vol. 28, pp: 75-83.
  6. Cho, C.I.; Alam, M.; Choi, T.J.; Choy, Y.H.; Choi, J.G.; Lee, S.S. and Cho, K.H., 2016. Models for estimating genetic parameters of milk production traits using random regression models in Korean Holstein cattle. Asian AustralasianJ of Animal Sciences. Vol. 29, pp: 607-614.
  7. Druet, T.; Jaffrezic, F.; Boichard, D. and Ducrocq, V., 2003. Modeling lactation curves and estimation of genetic parameters first lactation test day records of French Holstein cows Journal of Dairy Science. Vol. 86, pp: 2480-2490.
  8. Dube, B.; Dzama, K. and Banga, C.B., 2008. Genetic analysis of somatic cell score and udder type traits in South African Holstein cows. South African Journal of Animal Science. Vol. 38, No. 1, pp: 1-11.
  9. Faraji, H.; Aslaminejad A.A.; Rokouei M. and Nasrabadi M.T., 2012. Estimation of Variance Covariance Component for Somatic Cell Score in Iranian Holstein Cows. Proceedings of the 15th AAAP Animal Science Congress, pp: 26-30. November 2012, Thammasat University, Rangsit Campus, Thailand.
  10. Fazel, A.Y.; Esmailizadeh, A.; Momen, M. and Asadi Fozi, M., 2019 Importance of genotype by environment interaction on genetic analysis of milk yield in Iranian Holstein cows using a random regression model. Animal Production Science. Vol. 59, No. 8, pp: 1438-1445.
  11. Guo, Z.; Lund, M.S.; Madsen, P.; Korsgaard, I. and Jensen, J., 2002 Genetic Parameter Estimation for Milk Yield over Multiple Parities and Various Lengths of Lactation in Danish Jerseys by Random Regression Models. Journal of Dairy Science. Vol. 85, pp: 1596-1606.
  12. Herrera, A.C.; Múnera, O.D. and Cerón-Muñoz, M.F., 2013. Variance components and genetic parameters for milk production of Holstein cattle in Antioquia (Colombia) using random regression models. Revista Colombiana de Ciencias Pecuarias. Vol. 26, pp: 90-97.
  13. Jamrozik, J. and Schaefer, L.R., 1997 Estimation of genetic parameters for test day model with random regression for production of first lactation Holstein. Journal of Dairy Science. Vol. 80, pp: 762-770.
  14. Koc, A., 2008 A study of somatic cell counts in the milk of Holstein-Friesian. Turkish Journal of Veterinary and Animal Sciences. Vol. 32, No. 1, pp: 13-18.
  15. Mayeres, P.; Stoll, J.; Bormann, J.; Reents, R. and Gengler, N., 2004 Prediction of Daily Milk, Fat, and Protein Production by a Random Regression Test-Day Model. Journal of Dairy Science. Vol. 87, pp: 1925-1933.
  16. Miller, R.H.; Norman, H.D.; Wiggans, G.R. and Wright, I.R., 2004 Relationship of test day Somatic cell score with test day and lactation milk yields. Journal of Dairy Science. Vol. 87, pp: 2299-2306.
  17. Moreira, R.P.; Pinto, L.F.B.; Valloto, A.A. and Pedrosa, V.B., 2019. Evaluation of genotype by environment interactions on milk production traits of Holstein cows in southern Brazil. Asian-Australas Journal of Animal Science. Vol. 32, pp: 459-466.
  18. Olori, V.E.; Hilla, W.G.; McGuirk.; B.J. and Brother Stonea, S., 1999 Estimating variance components for test day milk records by restricted maximum likelihood with a random regression animal model. Livestock Production Science. Vol. 61, pp: 53-63.
  19. Pryce, J.E.; Nielson, B.L.; Veerkamp, R.F. and Simm, G., 1999. Genotype and feeding system effects and interactions for health and fertility traits in dairy cattle. Livestock Production Science. Vol. 57, pp: 193-201.
  20. Rekik, B.; Ben Gara A.; Ben Hamouda, M. and Hammami, H., 2003 Fitting lactation curves of dairy cattle in different types of herds in Tunisia. Livestock Production Science. Vol. 83, pp: 309-315.
  21. Shamshirgaran, T.; Eslami Negad, A.A.; Farhang far, H. and TahmooresPoor, M., 2016 Comparison of two test day models with fixed and random citizenship in genetic analysis of milk production traits of Holstein cows in Khorasan Razavi province. Iranian Journal of Animal Science Research. Vol. 3, No. 1, pp: 67-73.
  22. Silvestre, A.M.; Petim-Batista, F. and Colaco, J., 2005. Genetic Parameter Estimates of Portuguese Dairy Cows for Milk, Fat, and Protein Using a Spline Test-Day Model. Journal of Dairy Science. Vol. 88, pp: 1225-1230.
  23. Strabel, T. and Misztal, I., 1999 Genetic Parameters for First and Second Lactation Milk Yields of Polish Black and White Cattle with Random Regression Test-Day Models. Journal of Dairy Science. Vol. 82, pp: 2805-2810.
  24. Teimourian, M.; Eslami Negad, A.A. and Tahmoores Poor, M., 2016 Estimation of genetic parameters productive traits in Holstein Cows. Iranian Journal of Animal Science Research. Vol. 3, No. 2, pp: 179-184.
  25. Togashi, K.; Lin, C.Y.; Atagi, Y.; Hagiya, K.; Sato, J. and Nakanishi, T., 2008 Genetic characteristics of Japanese Holstein cows based on multiple-lactation random regression test day animal models. Livestock Science. Vol. 114, pp:  194-201.
  26. Veerkamp, R.F.; Simm, G. and Oldham, J.D., 1994 Effects of interaction between genotype and feeding system on milk production, feed intake, efficiency and body tissue mobilization in dairy cows. Livestock Production Science. Vol. 39, pp: 229-241.