Volume 9, Issue 19 (6-2018)                   rap 2018, 9(19): 102-112 | Back to browse issues page


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Naderi Y, Gholizadeh M, Madad M. (2018). The use of a Bivariate Random Regression Model for Genetic Analysis of Milk Yield in Iranian Native Buffalo. rap. 9(19), 102-112. doi:10.29252/rap.9.19.102
URL: http://rap.sanru.ac.ir/article-1-777-en.html
Islamic Azad University, Astara Branch
Abstract:   (3596 Views)

Bivariate random regression models were used to estimate variance components of test-day milk yields (TDMY) in the first and second lactations of Iranian buffaloes. Data included 10,133 TDMY records from 862 Iranian buffaloes for first lactation and 786 for second lactation which were collected from 1993 to 2011 by the animal breeding centre of Iran. The models of analysis included the fixed effects of herd-test-date (HTD), year-season (YS) and age at calving as covariate were fitted in the model of analysis. The random variables of model were the additive genetic and animal permanent environmental effects and residual effects. The (co)variance components and the genetic parameters were estimated using the REML method with the Wombat program. In bi-variate model, each parity was treated as a separate trait. In the first lactation, Heritability estimates were low to moderate and ranged from 0.05 to 0.26 and had an erratic pattern. In the second lactation, the heritability estimates increased from the first (0.29) to the second test day (0.31), and then with a slight decrease during lactation, again increased on the last two test days (0.14 and 0.29). The range of genetic correlation between the first day of the first lactation period and the whole day of the test days in the second lactation period were reported between -0.07 and +0.73. Heritability estimates test-day milk yield are higher at the beginning of the lactation period for first and second lactation which indicates that milk yield in the early months of lactation can be used as a selection criterion in Iranian native buffalo.
 

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Type of Study: Research | Subject: ژنتیک و اصلاح نژاد دام
Received: 2017/07/23 | Revised: 2019/12/21 | Accepted: 2018/02/17 | Published: 2018/06/24

References
1. Aspilcueta-Borquis, R., A. Tanaka, L. Albuquerque, R. Sesana, L. Seno, A. Bignardi and H. Tonhati. 2007. Genetic parameters estimates for milk, fat and protein yield analyzed by test day models for Murrah buffaloes in Brazil. Proceedings of the 8th World Buffalo Congress, Caserta, Italia, 368-371. [DOI:10.4081/ijas.2007.s2.368]
2. Aspilcueta-Borquis, R.B., F.R. AraujoNeto, F. Baldi, A.B. Bignardi, L.G. Albuquerqueand and H. Tonhati. 2010. Genetic parameters for buffalo milk yield and milk quality traits using Bayesian inference. Journal of Dairy Science, 93: 2195-2201. [DOI:10.3168/jds.2009-2621]
3. Biassus, I.O., J.A. Cobuci, C.N. Costa and P.R.N. Rorato. 2011. Genetic parameters for production traits in primiparous Holstein cows estimated by random regression models. Revista Brasileira Zootecnia Journal, 40: 85-94. [DOI:10.1590/S1516-35982011000100012]
4. Bignardi, A.B., L. 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 Production Science, 123: 1-7. [DOI:10.1016/j.livsci.2008.09.021]
5. Brotherstone, S., I.M.S. White and K. Meyer. 2000. Genetic modeling of daily yields using orthogonal polynomials and parametric curves. Animal Science, 70:407-415. [DOI:10.1017/S1357729800051754]
6. Breda, FC., L.G. Albuquerque, R.F. Euclydes, A.B. Bignardi, F.Baldi, R.A. Torres, L.Barbosand and H. Tonhati. 2010. Estimation of genetic paramete rs for milk yield in Murrah buffaloes by Bayesian inference. Journal of Dairy Science, 93: 784-791. [DOI:10.3168/jds.2009-2230]
7. Carvalheira, J.G.V., R.W.Blake, E.J. Pollak, R.L. Quaasand and C.V. Duran-Castro. 1998. Application of an autoregressive process to estimate genetic parameters and breeding values for daily milk yield in a tropical herd of Lucerna cattle and in United States Holsteins herds.Journal of Dairy Science, 81: 2738-2751. [DOI:10.3168/jds.S0022-0302(98)75831-X]
8. Chakraborty, D., S.S. Dhaka, B.L.Pander, A.S. Yadavand and A.Dandapat. 2010. Genetic studies on 305 days and test day milk yield records in Murrah buffaloes. Indian Journal of Animal Science, 80(8): 729-732.
9. Cobuci, J.A., R.F. Euclydes, P.S. Lopes, P.S. Costa, C. Napolis, R.A. Torresand and C.S. Pereira. 2005. Estimation of genetic parameters for test-day milk in Holstein cows using a random regression model. Genetics and Molecular Biology, 28: 75-83. [DOI:10.1590/S1415-47572005000100013]
10. Costa, C.N., C.N.R. Melo, I.U. Pacherand A.F. Freitas. 2008. Genetic parameters for test day milk yield of first lactation Holstein cows estimated by random regression using Legendrepolynomials. Revista Brasileira Zootecnia Journal, 37: 602-608. [DOI:10.1590/S1516-35982008000400003]
11. DeGroot, B.J., J.F. Keown, L.D. Van Vleckand and S.D. Kachman. 2007. Estimates of genetic parameters for Holstein cows for test-day yield traits with a random regression cubic spline model. Genetics and Molecular Research, 6: 434-444.
12. Geetha, E., A.K. Chakravarty and K. Vinaya Kumar. 2007. Estimates of genetie parameters using random regression test day model for first lactation milk yield in Murrah buffaloes. Indian Journal of Animal Sciences, 77(9): 898-901.
13. GhaviHossein-Zade, N., M.M. Adad, A.A. Shadparvar and D. Kianzad. 2012. Anabsorvational Analysis of Secondary Sex ratio, Stillbirth and Birth Weight in Iranian Buffaloes (Bubalus bubalis).Journal of Agriculture Science and Technical, 14: 1477-1484.
14. Hurtado-Lugo, N., M. Ceron-Munoz and A. Gutierrez-Valencia. 2006. Estimacion de parameteros geneticos parala producción de lecheen el díadel control enbufalos de la Costa Atlantica Colombiana. LivestockResearch for Rural Development, 18: 1-6.
15. Jamrozik, J., L.R. Schaeffer and G.B. Jansen. 2000. Approximate accuracies of prediction from random regression models. Livestock Production Science, 66: 85-92. [DOI:10.1016/S0301-6226(00)00158-5]
16. Kettunen, A. and E.A. Mantysaari. 1996. Estimation of genetic parameters for test day milk production at different stages of lactation of Finnish Ayrshire heifers.Journal of Agriculture and Food Sciences, 5: 185-192. [DOI:10.23986/afsci.72734]
17. Kettunen, A., E.A. Mantysaari and I. Stranden. 1997. Analysis of first lactation test day milk yields by random regression model. Proc. Interbull MTG., Vienna, Austrian Interbull Bulletin, 16: 39-42.
18. Lopez-Romero, P., R. Rekaya and M.J. Carabano. 2003. Comparing alternative random regression models to analyze first lactation daily milk yield data in Holstein-Friesian cattle. Live stock Prodoction Science, 82: 81-96. [DOI:10.1016/S0301-6226(03)00003-4]
19. Madad, M., N. GhaviHossein-Zadeh and A.A. Shadparvar. 2013. Estimation of Genetic Para meters of Production and Reproduction Traits in Iranian native buffaloes. Animal production research, 1: 45-52 (In Persian).
20. Madad, M., N. Ghavi Hossein-Zadeh, A.A. Shadparvar and D. Kianzad. 2013a. Random regression models to estimate genetic parameters for test-day milk yield and composition in Iranian buffaloes. Archiv fur Tierzucht, 56: 276-284. [DOI:10.7482/0003-9438-56-027]
21. Madad, M., N. Ghavi Hossein Zadeh and A.A. Shadparvar. 2013b. Genetic and phenotypic parameters for productive traits in the first three lactations of Khuzestan buffaloes in Iran. ArchivFur Tierzucht, 56: 423-429. [DOI:10.7482/0003-9438-56-041]
22. Madad, M., N. Ghavi Hossein Zadehand and A.A. Shadparvar. 2016. Estimation of genetic parameters for test day milk yield in Khuzestan buffalo. Pesquisaa gropecuaria brasileira journal, 51(7): 890-897. [DOI:10.1590/S0100-204X2016000700012]
23. Meyer, K. 2007. WOMBAT A tool for mixed model analyses in quantitative genetics by REML. Journal of Zhejiang University Science, 8: 815-821. [DOI:10.1631/jzus.2007.B0815]
24. Misztal, I., T. Strabel, J. Jamrozik, E.A. Mantysaari and T. Meuwissen. 2000. Strategies for estimating the parameters needed for different test-day models. Journal of Dairy Science, 83: 1125-1134. [DOI:10.3168/jds.S0022-0302(00)74978-2]
25. Mourad, K.A.M. and A.S. Khattab. 2009. A comparison between differentselection indices for some productive traits on Egyptian buffaloes. ArchiveTierzucht, 52: 476-484. [DOI:10.5194/aab-52-476-2009]
26. Naserian, A.A. and B. Saremi. 2007. Water buffaloindustry in Iran. Italian Journal of Animal Sciences, 6: 1404-1405. [DOI:10.4081/ijas.2007.s2.1404]
27. Nephawe, K.A. 2004. Application of random regression models to the genetic evaluation of cow weight in Bonsmara cattle of South Africa. South African Journal of Animal Science, 34: 166-173. [DOI:10.4314/sajas.v34i3.3960]
28. Peeva, T. 2002. Genetic improvement of buffaloes in Bulgaria. In: Vale WG, LourencoJunior JB, Ohashi OM (eds.) Proc. 1st Buffalo Symposium of Americas, Belem, Parg, Brazil, 418-420.
29. Pool, M.H., L.L. Jams and T.H. Meuwissen. 2000. Genetic parameters of Legendrepolynomials for first parity lactation curves. Journal of Dairy Science, 83: 2640-2649. [DOI:10.3168/jds.S0022-0302(00)75157-5]
30. Reents, R., J. Jamrozik, L.R. Schaeffer and J.C.M. Dekkers. 1995. Estimation of genetic parameters for test day records of somatic cell score. Journal of Dairy Science, 78: 2847-2857. [DOI:10.3168/jds.S0022-0302(95)76915-6]
31. Rekaya, R., M.J. Carbano and M.A. Toro. 1999. Use of test day yield for the geneticevaluation of production traits in Holstein-Friesian cattle.Livestock Production Science, 57: 203-217. [DOI:10.1016/S0301-6226(98)00181-X]
32. Rosati, A. and L.D. Van Vleck. 2002. Estimation of genetic parameters for milk, fat, protein and mozzarella cheese production for the Italian river buffalo Bubalusbubal is population. Live stock Production Science, 74:185-190. [DOI:10.1016/S0301-6226(01)00293-7]
33. Schaeffer, L.R., J. Jamrozik, G.J. Kistemaker and B.J. Doormaal Van. 2000. Experience with a test day model. Journal of Dairy Science, 83: 1135-1144. [DOI:10.3168/jds.S0022-0302(00)74979-4]
34. Schaeffer, L.R. and J. Jamrozik. 2008. Random regression models: a longitudinal prespective Journal of Animal Breeding and Genetics, 125: 45-146. [DOI:10.1111/j.1439-0388.2008.00748.x]
35. Sesana, R.C., A.B. Bignardi, R.R.A. Borquis, L. Faro, F. Baldi, L.G. Albuquerque and H. Ton hati. 2010. Random regression models to estimate genetic parameters for test day milk yield in Brazilian Murrah buffaloes. Journal of Animal Breeding and Genetics, 127: 369-376. [DOI:10.1111/j.1439-0388.2010.00857.x]
36. Strabel, T. and T. Szwaczkowski. 1997. Additive genetic and permanent environmental varince components for test day milk traits in Black White cattle. Livestock Prodoction Science, 48: 91-98. [DOI:10.1016/S0301-6226(97)00005-5]
37. Strabel, T. and J. Jamrozik. 2006. Genetic analysis of milk production traits of Polish black and white cattle using large scale random regression test day models. Journal of Dairy Science, 89: 3152-3163. [DOI:10.3168/jds.S0022-0302(06)72589-9]
38. Swalve, H.H. 1995. The effect of test day models on the estimation of genetic parameters and breeding values of dairy yield traits. Journal of Dairy Science, 78: 929-938. [DOI:10.3168/jds.S0022-0302(95)76708-X]
39. Tavakolian, J. 2000. An Introduction to Genetic Resources of native Farm Animals. Animal Science Research Institute Karaj, Iran, 451 pp.
40. Tonhati, H., M.F. CernMuoz, J.A. de Oliveira, J.M.C. Duarte, T.P. Furtado and S.P. Tseimazides. 2000. Genetic Parameters of Milk Production, Fat and Protein Contents in Buffalo Milk. Revista Brasileira Zootecnia Journal, 29 (Supplement), 2051-2056 (In Portuguese).
41. Tonhati, H., M.F. Ceron-Munoz, J.A. Oliveira, L. Faro, A.L.F. Lima and L.G. Albuquerque. 2008. Test-day milk yield as a selection criterion for dairy buffaloes (Bubalusbubalis Artiodactyla, Bovidae). Geneticsand Molecular Biology, 31: 674-679. [DOI:10.1590/S1415-47572008000400012]
42. Veerkamp, R.F. and M.E. Goddard. 1998. Covariance function sacross herd production levels for test day records on milk, fat and protein yields. Journal of Dairy Science, 81: 1690-1701. [DOI:10.3168/jds.S0022-0302(98)75736-4]

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