Genetic parameters prediction for Khuzestani buffaloes milk characteristics by random regression method
DOI:
https://doi.org/10.56825/bufbu.2022.4113162Keywords:
Bubalus bubalis, buffaloes, random regression model, covariance functions, milk and fat production, buffalo of KhuzestanAbstract
In this research, Data of milk yield, fat and protein percentage of Khuzestani buffalo were used. The daily records of milk yield were collected in the south-west of Iran where buffalo experienced a hot climate. The data set was constructed with 8,123 records of 1,430 first lactation buffalo. A univariate random regression model (RR/CF) was applied to data. Regression of additive genetic effect based on Legendre polynomials from the day of lactation was considered in the model. The results showed that maximum residual variance for the milk and fat production was estimated at the beginning of the lactation period. The minimum amount of additive genetic variation of milk and fat traits was seen in the early lactation period and the maximum amount of the component was estimated at the end of the lactation period. The lowest heritability of the mentioned traits was at the beginning of the lactation period. The level of this parameter increased to mid-lactation and was at its maximum during the late months of lactation, then decreased to the end of lactation. The estimated additive genetic correlations between close test-days were higher than faraway test-day records for each milk yield and milk fat content. Based on the results of this study, a random regression model with fitting orders 3 and 4, seems to be suitable for additive covariance functions in order to analyze the milk test-day records of buffaloes.
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Bignardi, A.B., L. El Faro, V.L. Cardoso, P.F. Machado and L.G. Albuquerque. 2009. Random regression models to estimate test-day milk yield genetic parameters Holstein cows in Southeastern Brazil. Livestock Science, 123(1): 1-7. DOI: 10.1016/j.livsci.2008.09.021
Cobuci, J.A., R.F. Euclydes, P.S. Lopes, P.S. Costa, C. Napolis, R.A. Torres and C.S. Pereira. 2005. Estimation of genetic parameters for test-day milk yield in Holstein cows using a random regression model. Genet. Mol. Biol., 28(1): 75-83. DOI: 10.1590/S1415-47572005000100013
El Faro, L., V.L. Cardoso and L.G.D. Albuquerque. 2008. Variance component estimates applying random regression models for test-day milk yield in Caracu heifers (Bos taurus Artiodactyla, Bovidae). Genet. Mol. Biol., 31(3): 665-673. DOI: 10.1590/S1415-47572008000400011
Farhond, P. 2002. General Animal Welfare. Azad University of Western Azerbaijan, Azerbaijan.
Hurtado-Lugo, N., M. Cerón-Muñoz and A. Gutiérrez-Valencia. 2006. Estimación de parámetros genéticos para la producción de leche en el día Del control en búfalos de la Costa Atlántica Colombiana. Livestock Research for Rural Development, 18(3): 1-6.
Jamrozik, J., L.R. Schaeffer and J.C.M. Dekkers. 1997. Genetic evaluation of dairy cattle using test day yields and random regression model. Journal Genetics and Breeding, 80(6): 1217-1226. DOI: 10.3168/jds.S0022-0302(97)76050-8
Kettunen, A., E.A. Mäntysaari and J. Pösö. 2000. Estimation of Genetic parameters for daily milk of primiparous Ayrshire cows by random regression test-day models. Livest. Prod. Sci., 66: 215-261.
Kordnejad, A. 1999. Livestock Breeding (Genetic Value Forecasting Methods). Translation by Nasser Imam Jumaee Kashan, 1st ed., Tehran University Press, Tehran, Iran. 309p.
Mäntysaari, E.A. and M. Lidauer. 1999. Multiple trait reduced rank random regression test-day model for production traits. Interbull Bulletin, 22: 74-74
Moradi Shahrbabak, M. 2001. Persistency in dairy cattle, Iranian Holstein. Iranian Journal of Agriculture Science, 32(1): 193-202.
Olori, V.E., S. Brotherstone, W.G. Hill and B.J. McGuirk. 1999. Fit of standard models of the lactation curve to weekly records of milk production of cows in a single herd. Livest. Prod. Sci., 58(1): 55-63. DOI: 10.1016/S0301-6226(98)00194-8
Rashedi, A., J. Fayazi, M.T. Nasiri and M. Vatankhah. 2016. Genetic and phenotypic analyses of body weight traits for Lori-Bakhtiari lambs at different ages. Research on Animal Production, 7(14): 157-164. DOI: 10.29252/rap.7.14.164
Rekaya, R., M.J. Carabano and M.A. Toro. 1999. Use of test day yields for the genetic evaluation of production traits in Holstein-Friesian cattle. Livestock Production Science, 57(3): 203-217. DOI: 10.1016/S0301-6226(98)00181-X
Sawalha, R.M., J.F. Keown, S.D. Kachman and L.D. Vleck VAN. 2005. Genetic evaluation of dairy cattle with test-day models with autoregressive covariance structures and with a 305-d model. J. Dairy Sci., 88(9): 3346-3353. DOI: 10.3168/jds.S0022-0302(05)73018-6
Schaeffer, L.R., J. Jamrozik, G.J. Kistemaker and B.J. Van Doormaal. 2000. Experience with a test-day model. J. Dairy Sci., 83(5): 1135-1144. DOI: 10.3168/jds.s0022-0302(00)74979-4
Silvestre. A.M., F. Petin-Batista and J. Colaço. 2005. Genetic parameter estimates of Portuguese dairy cows for milk. Fat and protein using a spline test-day model. J. Dairy Sci., 88(3): 1225-1230. DOI: 10.3168/jds.S0022-0302(05)72789-2
Swalve, H.H. 1998. Use of test day records for genetic evaluation. In Proceedings of the 6th World Congress on Genetic Applied to Livestock Production, Armidale, Australia. 23: 295-301.
Swalve, H.H. 2000. Theoretical basis and computational methods for different test-day genetic evaluation methods. J. Dairy Sci., 83(5): 1115-1124. DOI: 10.3168/jds.S0022-0302(00)74977-0
Veerkamp, R.F. and R. Thompson. 1999. A covariance function for feed intake, live weight, and milk yield estimated using a random regression model. J. Dairy Sci., 82(7): 1565-1573. DOI: 10.3168/jds.S0022-0302(99)75384-1
Zullo, A., C.M.A. Barone, L. Zicarelli and D. Matassino. 2007. An application of the integrative method for extending part lactation milk record in Mediterranean Italian buffalo reared in Caserta province Ital. J. Anim. Sci., 6(Suppl. 2): 417-420. DOI: 10.4081/ijas.2007.s2.417
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