Publications

Found 12 results
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2012
G. C. Venturini, Grossi, D. A., Ramos, S. B., Cruz, V. A. R., Souza, C. G., Ledur, M. C., L. Faro, E., Schmidt, G. S., and Munari, D. P., Estimation of genetic parameters for partial egg production periods by means of random regression models, vol. 11, pp. 1819-1829, 2012.
Al-Samarai FR, Al-Kassie GA, Al-Nedawi AM and Al-Soudi KAA (2008). Prediction of total egg production from partial or cumulative egg production in a stock of White Leghorn hens in Iraq. Int. J. Poult. Sci. 7: 890-893. http://dx.doi.org/10.3923/ijps.2008.890.893   Anang A, Mielenz N and Schüler L (2000). Genetic and phenotypic parameters for monthly egg production on laying hens. J. Anim. Breed. Genet. 117: 407-415. http://dx.doi.org/10.1046/j.1439-0388.2000.00258.x   Anang A, Mielenz N and Schuler L (2001). Monthly model for genetic evaluation of laying hens 1. Fixed regression. Br. Poult. Sci 42: 191-196. http://dx.doi.org/10.1080/00071660120048438 PMid:11421327   Anang A, Mielenz N and Schuler L (2002). Monthly model for genetic evaluation of laying hens. II. Random regression. Br. Poult. Sci 43: 384-390. http://dx.doi.org/10.1080/00071660120103657 PMid:12195797   Bignardi AB, El Faro L, Albuquerque LG and Cardoso VL (2008). Modelos de dimensão finita para a estimação de parâmetros genéticos para a produção de leite de primeiras lactações de vacas da raça Holandesa. Ciênc. Rural 38: 1705-1710. http://dx.doi.org/10.1590/S0103-84782008000600033   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. http://dx.doi.org/10.1590/S1415-47572008000400011   Fialho FB and Ledur MC (1997). Segmented polynomial model for estimation of egg production curves in laying hens. Br. Poult. Sci. 38: 66-73. http://dx.doi.org/10.1080/00071669708417942 PMid:9088615   Grossman M, Gossman TN and Koops WJ (2000). A model for persistency of egg production. Poult. Sci. 79: 1715-1724. PMid:11194032   Jamrozik J, Schaeffer LR and Dekkers JC (1997). Genetic evaluation of dairy cattle using test day yields and random regression model. J. Dairy Sci. 80: 1217-1226. http://dx.doi.org/10.3168/jds.S0022-0302(97)76050-8   Luo PT, Yang RQ and Yang N (2007). Estimation of genetic parameters for cumulative egg numbers in a broiler dam line by using a random regression model. Poult. Sci. 86: 30-36. PMid:17179412   Meyer K (1998a). Estimating covariance functions for longitudinal data using random regression model. Genet. Sel. Evol. 30: 221-240. http://dx.doi.org/10.1186/1297-9686-30-3-221 PMCid:2707403   Meyer K (1998b). DXMRR - A Program to Estimate Covariance Functions for Longitudinal Data by Restricted Maximum Likelihood. In: Proceedings of the 6th World Congress on Genetics Applied to Livestock Production Armidale, Australia, 465-466.   Nuñez-Antón V and Zimmerman DL (2000). Modeling nonstationary longitudinal data. Biometrics 56: 699-705. http://dx.doi.org/10.1111/j.0006-341X.2000.00699.x PMid:10985205   Pires AV, Carneiro PLS, Filho RAT, Fonseca R, et al. (2002). Estudo da divergência genética entre seis linhas de aves Legorne utilizando técnicas de análise multivariada. Arq. Bras. Med. Vet. Zootec. 54: 314-319. http://dx.doi.org/10.1590/S0102-09352002000300016   Savegnago RP, Caetano SL, Ramos SB, Nascimento GB, et al. (2011). Estimates of genetic parameters, and cluster and principal components analyses of breeding values related to egg production traits in a White Leghorn population. Poult. Sci. 90: 2174-2188. http://dx.doi.org/10.3382/ps.2011-01474 PMid:21933998   Szwaczkowski T (2003). Use of Mixed Model Methodology in Poultry Breeding: Estimation of Genetic Parameters, Poultry Genetics, Breeding and Biotechnology. CAB International, Wallingford, 165-202.   Szydlowski M and Szwaczkowski T (2001). Bayesian segregation analysis of production traits in two strains of laying chickens. Poult. Sci. 80: 125-131. PMid:11232998   Wei M and van der Werf JH (1993). Animal model estimation of additive and dominance variances in egg production traits of poultry. J. Anim. Sci. 71: 57-65. PMid:8454553   Wolc A, Lisowski M and Szwaczkowski T (2007). Heritability of egg production in laying hens under cumulative, multitrait and repeated measurement animal models. Czech J. Anim. Sci. 52: 254-259.   Wolc A, Barczak E, Wężyk S and Badowski J (2008). Genetic evaluation of production and reproduction traits in two selected lines of geese under multitrait animal model. Anim. Sci. Paper. Rep. 26: 71-78.
2011
R. J. Pereira, Santana, Jr., M. L., Bignardi, A. B., Verneque, R. S., L. Faro, E., and Albuquerque, L. G., Effect of pregnancy on the genetic evaluation of dairy cattle, vol. 10, pp. 2190-2201, 2011.
Akers RM (2006). Major advances associated with hormone and growth factor regulation of mammary growth and lactation in dairy cows. J. Dairy Sci. 89: 1222-1234. http://dx.doi.org/10.3168/jds.S0022-0302(06)72191-9 Bachman KC, Hayen MJ, Morse D and Wilcox CJ (1988). Effect of pregnancy, milk yield, and somatic cell count on bovine milk fat hydrolysis. J. Dairy Sci. 71: 925-931. http://dx.doi.org/10.3168/jds.S0022-0302(88)79638-1 Bohmanova J, Miglior F and Jamrozik J (2008). Estimates of the effect of pregnancy on production traits of Canadian dairy breeds. Available at [http://cgil.uoguelph.ca/dcbgc/Agenda0809/Pregnancy.pdf]. Accessed January 25, 2010. Bohmanova J, Jamrozik J and Miglior F (2009). Effect of pregnancy on production traits of Canadian Holstein cows. J. Dairy Sci. 92: 2947-2959. http://dx.doi.org/10.3168/jds.2008-1782 PMid:19448027 Brotherstone S, Thompson R and White IMS (2004). Effects of pregnancy on daily milk yield of Holstein-Friesian dairy cattle. Livest. Prod. Sci. 87: 265-269. http://dx.doi.org/10.1016/j.livprodsci.2003.07.014 Erb RE, Goodwin MM, Morrison RA and Shaw AO (1952). Lactation studies: 1. Effect of gestation. J. Dairy Sci. 35: 224-233. http://dx.doi.org/10.3168/jds.S0022-0302(52)93695-3 Haile-Mariam M, Bowman PJ and Goddard ME (2003). Genetic and environmental relationship among calving interval, survival, persistency of milk yield and somatic cell count in dairy cattle. Livest. Prod. Sci. 80: 189-200. http://dx.doi.org/10.1016/S0301-6226(02)00188-4 Interbull (2010). National GES information. Available at [http://www-interbull.slu.se/national_ges_info2/framesida-ges.htm]. Accessed May 25, 2010. Loker S, Miglior F, Bohmanova J, Jamrozik J, et al. (2009a). Phenotypic analysis of pregnancy effect on milk, fat, and protein yields of Canadian Ayrshire, Jersey, Brown Swiss, and Guernsey breeds. J. Dairy Sci. 92: 1300-1312. http://dx.doi.org/10.3168/jds.2008-1425 PMid:19233823 Loker S, Miglior F, Bohmanova J, Schaeffer LR, et al. (2009b). Short communication: effect of preadjusting test-day yields for stage of pregnancy on variance component estimation in Canadian Ayrshires. J. Dairy Sci. 92: 2270-2275. http://dx.doi.org/10.3168/jds.2008-1806 PMid:19389986 Meyer K (2007). WOMBAT: a tool for mixed model analyses in quantitative genetics by restricted maximum likelihood (REML). J. Zhejiang Univ. Sci. B 8: 815-21. http://dx.doi.org/10.1631/jzus.2007.B0815 PMid:17973343    PMCid:2064953 Olori VE, Brotherstone S, Hill WG and McGuirk BJ (1997). Effect of gestation stage on milk yield and composition in Holstein Friesian dairy cattle. Livest. Prod. Sci. 52: 167-176. http://dx.doi.org/10.1016/S0301-6226(97)00126-7 Roche JR (2003). Effect of pregnancy on milk production and bodyweight from identical twin study. J. Dairy Sci. 86: 777-783. http://dx.doi.org/10.3168/jds.S0022-0302(03)73659-5
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. http://dx.doi.org/10.1590/S1516-35982006000400006   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. http://dx.doi.org/10.1016/j.livsci.2008.09.021   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. http://dx.doi.org/10.3168/jds.2009-2128 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. 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). 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. http://dx.doi.org/10.1590/S1516-35982003000500010   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. http://dx.doi.org/10.1590/S1415-47572008000400011   Fuller WA (1969). Grafted polynomials as approximating functions. Aust. J. Agr. Econ. 13: 35-46. http://dx.doi.org/10.1111/j.1467-8489.1969.tb00053.x   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. http://dx.doi.org/10.3168/jds.S0022-0302(97)75996-4   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. 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