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2011
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.
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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. http://dx.doi.org/10.1590/S1415-47572005000100013   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. http://dx.doi.org/10.1590/S1516-35982008000400003   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. http://dx.doi.org/10.1590/S0102-09352009000200018   El Faro L and Albuquerque LG (2003). 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Comparison of possible covariates for use in a random regression model for analyses of test day yields. J. Dairy Sci. 80: 2550-2556. http://dx.doi.org/10.3168/jds.S0022-0302(97)76210-6   Jensen J (2001). Genetic evaluation of dairy cattle using test-day models. J. Dairy Sci. 84: 2803-2812. http://dx.doi.org/10.3168/jds.S0022-0302(01)74736-4   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. http://dx.doi.org/10.1016/S0301-6226(00)00166-4   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. http://dx.doi.org/10.1017/S1751731107685036 PMid:22444330   Meyer K (2005). Random regression analyses using B-splines to model growth of Australian Angus cattle. Genet. Sel. Evol. 37: 473-500. http://dx.doi.org/10.1186/1297-9686-37-6-473 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. http://dx.doi.org/10.1016/S0301-6226(99)00052-4   Rice JA and Wu CO (2001). Nonparametric mixed effects models for unequally sampled noisy curves. Biometrics 57: 253-259. http://dx.doi.org/10.1111/j.0006-341X.2001.00253.x PMid:11252607   Ruppert D, Wand MP and Carroll RJ (2003). Semiparametric Regression. Cambridge University Press, New York. http://dx.doi.org/10.1017/CBO9780511755453   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. http://dx.doi.org/10.3168/jds.S0022-0302(99)75538-4   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. http://dx.doi.org/10.1016/0301-6226(87)90003-0   Wolfinger RD (1993). Covariance structure selection in general mixed models. Commun. Stat.-Simul. Comput. 22: 1079-1106. http://dx.doi.org/10.1080/03610919308813143