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P. C. Tizioto, Meirelles, S. L., Tulio, R. R., Rosa, A. N., Alencar, M. M., Medeiros, S. R., Siqueira, F., Feijó, G. L. D., Silva, L. O. C., Júnior, R. A. A. Torres, and Regitano, L. C. A., Candidate genes for production traits in Nelore beef cattle, vol. 11, pp. 4138-4144, 2012.
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A. B. Bignardi, L. Faro, E., Júnior, R. A. A. Torres, Cardoso, V. L., Machado, P. F., and Albuquerque, L. G., Random regression models using different functions to model test-day milk yield of Brazilian Holstein cows, vol. 10, pp. 3565-3575, 2011.
Ali TE and Schaeffer LR (1987). Accounting for covariances among test day milk yields in dairy cows. J. Anim. Sci. 67: 637-644.   Araújo CV, Torres RA, Costa C, Torres Filho RA, et al. (2006). Uso de modelos de regressão aleatória para descrever a variação genética da produção de leite na raça Holandesa. Rev. Bras. Zootec. 3: 975-981.   Bignardi AB, El Faro L, Cardoso VL, Machado PF, et al. (2009a). Random regression models to estimate test-day milk yield genetic parameters Holstein cows in southeastern Brazil. Livest. Sci. 123: 1-7.   Bignardi AB, El Faro L, Cardoso VL, Machado PF, et al. (2009b). Parametric correlation functions to model the structure of permanent environmental (co)variances in milk yield random regression models. J. Dairy Sci. 92: 4634-4640. PMid:19700726   Brotherstone S, White IMS and Meyer K (2000). Genetic modeling of daily yields using orthogonal polynomials and parametric curves. J. Anim. Sci. 70: 407-415.   Cobuci JA, Euclydes RF, Lopes PS, Costa CN, et al. (2005). Estimation of genetic parameters for test-day milk yield in Holstein cows using a random regression models. Genet. Mol. Biol. 28: 75-83.   Costa CN, Melo CNR, Pacher IU, Freitas AF, et al. (2008). Genetic parameters for test day milk yield of first lactation Holstein cows estimated by random regression using Legendre polynomials. Rev. Bras. Zootec. 37: 602-608.   Dorneles CKP, Cobuci JA, Rorato PRN, Weber T, et al. (2009). Estimação de parâmetros genéticos para produção de leite de vacas da raça Holandesa via regressão aleatória. Arq. Bras. Med. Vet. Zootec. 61: 407-412.   El Faro L and Albuquerque LG (2003). Utilização de modelos de regressão aleatória para produção de leite no dia do controle, com diferentes estruturas de variâncias residuais. Rev. Bras. Zootec. 32: 1104-1113.   El Faro L, Cardoso VL and Albuquerque LG (2008). Variance component estimates applying random regression models for test-day milk yield in Caracu heifers (Bos taurus Artiodactyla, Bovidae). Genet. Mol. Biol. 31: 665-673.   Fuller WA (1969). Grafted polynomials as approximating functions. Aust. J. Agr. Econ. 13: 35-46.   Jamrozik J and Schaeffer LR (1997). Estimates of genetic parameters for a test day model with random regressions for yield traits of first lactation Holsteins. J. Dairy Sci. 80: 762-770.   Jamrozik J, Kistemaker GJ, Dekkers JC and Schaeffer LR (1997). Comparison of possible covariates for use in a random regression model for analyses of test day yields. J. Dairy Sci. 80: 2550-2556.   Jensen J (2001). Genetic evaluation of dairy cattle using test-day models. J. Dairy Sci. 84: 2803-2812.   Kettunen A, Mäntysaari EA and Pösö J (2000). Estimation of genetic parameters for daily milk yield of primiparous Ayrshire cows by random regression test-day models. Livest. Prod. Sci. 66: 251-261.   Melo CMR, Packer IU, Costa CN and Machado PF (2007). Genetic parameters for test day milk yields of first lactation Holstein cows by random regression models. Animal 1: 325-334. PMid:22444330   Meyer K (2005). Random regression analyses using B-splines to model growth of Australian Angus cattle. Genet. Sel. Evol. 37: 473-500. PMid:16093011 PMCid:2697221   Meyer K (2006). "WOMBAT" - Digging Deep for Quantitative Genetic Analyses by Restricted Maximum Likelihood. CD-ROM. Proceedings of the 8th World Congress of Genetic and Applied Livestock Production, Belo Horizonte.   Olori VE, Hill WG, Mcguirk BJ and Brotherstone S (1999). Estimating variance components for test day milk records by restricted maximum likelihood with a random regression animal model. Livest. Prod. Sci. 61: 53-63.   Rice JA and Wu CO (2001). Nonparametric mixed effects models for unequally sampled noisy curves. Biometrics 57: 253-259. PMid:11252607   Ruppert D, Wand MP and Carroll RJ (2003). Semiparametric Regression. Cambridge University Press, New York.   Schenkel FS (1989). The Use of Segmented Polynomials on Animal Science Research (Theoretical and Practical Considerations). Universidade Federal do Rio Grande do Sul, Porto Alegre. PMCid:1133420   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. J. Dairy Sci. 82: 2805-2810.   Wilmink JBM (1987). Adjustment of test-day milk, fat and protein yield for age, season and stage of lactation. Livest. Prod. Sci. 16: 335-348.   Wolfinger RD (1993). Covariance structure selection in general mixed models. Commun. Stat.-Simul. Comput. 22: 1079-1106.