Document Type : Original Article

Author

Former MSc Student, Department of Animal Science, University of Tabriz, Tabriz, Iran

Abstract

Objective: The main objective of this research was estimation of genetic parameters for five consecutive measurements of egg weights in Isfahan fowl using multi trait model and random regression models. Methods: The statistical models included generation-hatch as a fixed effect, weeks of age as a covariate and additive genetic and individual permanent environmental effects as random effects. The date set included records of egg weight measured from 21 weeks to 84 weeks of age that collected during 15 generations from 1986 to 2011. For acquiring of best accuracy of variance components and determining appropriate model, used heterogeneous residual variances with 5 classes and considering different orders of Legendre polynomial and accordingly eight different models were compared. Finally, the model with fourth order for additive genetic effect and third order for individual permanent environmental effect was selected as best model. Results: Results showed high genetic correlations of the 32 weeks of age with all other ages also its heritability indicated that it could be the optimum period for breeding.
 

Keywords

Akaike, H. 1974. A new look at the statistical model identification. IEEE Trans. Autom. Control 19, 716ñ723.
Anang, A., Mielenz, N. Schuler, L. 2000. Genetic and phenotypic parameters for monthly egg production in White Leghornhens. J. Anim. Breed. Genet. 117:407ñ415.
Anang, A., Mielenz, N. Schuler, L. 2002. Monthly model for genetic evaluation of laying hens II. Random regression. British Poultry Sci., 43: 384-390.
Ghazikhani A., Nejati, A. Mehrabani, H. 2007. Animal model estimation of parameters for most important economic traits in Iranian native fowls. Pakistan J. Biological. Sci. 10, 2787-2789.
Hani, M. Sabri, H. Wilson, R. Robert, H. Harms Charles, Wilcox, J. 1999. GENETIC PARAMETERS FOR EGG AND RELATED CHARACTERISTICS OFWHITE LEGHORN HENS IN A SUBTROPICAL ENVIRONMEN. Genetics and
Molecular Biology, 22 (2): 183-186.
Ghorbani, Sh., Kamali, M.A. Abbasi, M.A. Ghafouri-Kesbi, F. 2012. Estimation of Maternal Effects on Some Economic Traits ofNorth Iranian Native Fowls Using Different Models. Journal of Agricultural Science and Technology (JAST) (2012) Vol. 14: 95-103.
Jamrozik, J., Schaeffer, L.R. 1997. Estimates of genetic parameters for test day model with random regression for yield traits of first lactation Holsteins. J. Dairy Sci. 80:762ñ770.
Jamrozik, J., Kistemaker, G.J. Dekkers, J.C.M. Schaeffer, R. 1997. Comparison of possible covariates for use in a random regression model for analyses of test day yields. J. Dairy Sci. 80:2550-2556.
Kianimanesh, H.R., Nejati A. Rahimi, G. 2001. Estimation of genetic and environmental (co) variance components of the Iranian native fowls. Pp. 275-282 in Proc. 1stSem.
Genet. Breed. App. Livest. Poul. Aqua. Iran. Kranis, A., Su, G. Sorensen, D. Woolliams, J.A. 2007. The application of random regression models in the genetic analysis of monthly egg production in Turkeys and a comparison with alternative longitudinal models. Poultry Sci., 86: 470-475.
Luo, P.T., Yang, R.Q. Yang, N. 2007. Estimation of genetic parameters for cumulative egg numbers in a broiler dam line by using a random regression model. Poultry Sci., 86: 30-36.
Lwelamira, J. 2012. Genotype-Environmental (G x E) Interaction for Body Weights for Kuchi Chicken Ecotype of Tanzania Reared On-Station and On-Farm.
International Journal of Poultry Science 11 (2): 96-102. Meyer, K. 2007. WOMBAT a program for mixed model analyses by restricted maximum likelihood. Animal Genetics and Breeding Unit, Armidale User Notes. 55.
Mielenz, N., Anang, A. Preisinger, R. Schmutz, M. Schueler, L. 2002. Genetic evaluation of laying performance data Comparison of models based on monthly records. Pages 19ñ23 in Proc. 7th World Congr. Genet. Appl. Livest.
Prod., Session 20. Montpellier, France.
Nurgiartiningsih, V.M., Mielenz, N. Preisinger, R. Schmutz, M. Schueler, L. 2004. Estimation of genetic parameters based on individual and group mean records in laying hens. British Poultry Sci., 5: 604-610.
Schwarz, G., 1978. Estimating the dimension of a model. Ann. Stat. 6 (2), 461ñ464.
Shadparvar, A.A. Enayati, B. 2012.Genetic Parameters for Body Weight and Laying Traits in Mazandaran Native Breeder Hens. Iranian Journal of Applied Animal Science (2012) 2(3), 251-256.
Veronica, M., Ani Nurgiartiningsih, N. Mielenz, R. Preisinger, M. Sch¸ler, L. 2005. Heritabilities and genetic correlations for monthly egg production and egg weight of White Leghorn hens estimated based on hen-housed
and survivor production. Arch. Gefl¸gelk., 69 (3). S. 98ñ102.
Vivian U. Oleforuh-Okoleh. 2010. ESTIMATION OF GENETIC PARAMETERS AND SELECTION FOR EGG PRODUCTION TRAITS IN A NIGERIAN LOCAL CHICKEN ECOTYPE. ARPN Journal of Agricultural and Biological Science VOL. 6, NO. 12: 54-57.
Wolc, A. Szwaczkowski, T. 2009. Estimation of genetic parameters for monthly egg production in laying hens based on random regression models. J. Appl. Genetics, 50: 41-46.
Wolc, A., Lisowski M. Szwaczkowski, T. 2007. Heritability of egg production in laying hens under cumulative, multi trait and repeated measurement animal models. Czech J. Animal Sci., 52: 254-259.