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Random regression models (RRM) and multitrait models (MTM) were used to estimate genetic parameters for growth traits in Brazilian Brahman cattle and to compare the estimated breeding values obtained by these 2 methodologies. For RRM, 78,641 weight records taken between 60 and 550 d of age from 16,204 cattle were analyzed, and for MTM, the analysis consisted of 17,385 weight records taken at the same ages from 12,925 cattle. All models included the fixed effects of contemporary group and the additive genetic, maternal genetic, and animal permanent environmental effects and the quadratic effect of age at calving (AAC) as covariate. For RRM, the AAC was nested in the animal's age class. The best RRM considered cubic polynomials and the residual variance heterogeneity (5 levels). For MTM, the weights were adjusted for standard ages. For RRM, additive heritability estimates ranged from 0.42 to 0.75, and for MTM, the estimates ranged from 0.44 to 0.72 for both models at 60, 120, 205, 365, and 550 d of age. The maximum maternal heritability estimate (0.08) was at 140 d for RRM, but for MTM, it was highest at weaning (0.09). The magnitude of the genetic correlations was generally from moderate to high. The RRM adequately modeled changes in variance or covariance with age, and provided there was sufficient number of samples, increased accuracy in the estimation of the genetic parameters can be expected. Correlation of bull classifications were different in both methods and at all the ages evaluated, especially at high selection intensities, which could affect the response to selection.

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O objetivo do trabalho foi estimar os parâmetros genéticos das características de crescimento da raça Suffolk, a fim de fornecer subsídio para a definição de estratégias de seleção para programas de melhoramento genético. Os dados analisados, coletados entre os anos de 2007 a 2009, são referentes a ovinos da raça Suffolk oriundos de uma propriedade localizada no Estado de São Paulo, Brasil, participante do programa de melhoramento genético Ovigol, conduzido pela empresa Aries Reprodução e Melhoramento Genético Ovino Ltda. em parceria com a empresa AbacusBio Limited, da Nova Zelândia. As características avaliadas foram: peso ao nascer (PN), ganho de peso pré-desmame (GPP) e peso ao desmame (PD), com número de registro de 1.039, 636 e 649 animais, respectivamente. Para análise estatística, utilizou-se o procedimento GLM do programa computacional SAS; para a consistência do pedigree e para as estimativas dos parâmetros genéticos, os programas computacionais utilizados foram Relax2: pedigree analysis program e o WOMBAT, respectivamente. O modelo linear geral incluiu sexo, grupo de contemporâneos (tipo de parto e ano de nascimento), covariável idade ao desmame (GPP e PD) com efeito quadrático, efeito genético aditivo direto, efeito de ambiente permanente materno e efeito residual. As herdabilidades para PN, GPP e PD foram 0,06, 0,42 e 0,37, respectivamente. As correlações genéticas entre PN e GPP, PN e PD e GPP e PD foram -0,10, -0,03 e 0,97, respectivamente. Na população estudada, as características GPP e PD, apresentam altas respostas à seleção, ao contrário do PN. As características PN e GPP são suficientes para compor um índice de seleção, sendo aconselhável o monitoramento do PN na fase inicial do programa.

The aim of this study was to estimate genetic parameters for growth of Suffolk, in order to provide a basis for the definition of selection strategies for breeding programs. The data analyzed are for Suffolk sheep, collected between years 2007 to 2009, from a property located in the State of São Paulo - Brazil, a participant in the Ovigol breeding program conducted by the company (Aries Reproduction and Breeding Sheep Ltd.) in partnership with (AbacusBio) New Zealand Limited. The evaluated characteristics were: birth weight (PN), weight gain pre-weaning (GPP) and weaning weight (PD), with registration number 1039, 636 and 649 respectively. For statistical analysis we used the GLM procedure of SAS software, for the consistency of pedigree and genetic parameter estimates software Relax2: pedigree analysis program and WOMBAT, respectively, were used. The general linear model included sex, contemporary group (type of birth and year of birth), covariate age at weaning (GPP and PD) with a quadratic effect, direct genetic effect, maternal permanent environmental effect and residual effect. Heritability estimates for PN, PD and GPP were 0.06, 0.42 and 0.37, respectively. Genetic correlations between PN and GPP, and PN and PD and GPP were -0.10, -0.03 and 0.97, respectively. In the study population characteristics GPP and PD have a high response to selection, unlike the PN. The GPP and PN characteristics are enough to make a selection index, it is advisable to monitor the PN in the initial phase of the program.

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The aim of this study was to estimate genetic parameters for BW in meat quail at different ages. A total of 24,382 weight records from 3,652 quail, born between 2009 and 2011, were evaluated. Weekly BW was measured from hatch until 42 d of age. The genetic parameters were estimated by the restricted maximum likelihood method using a multivariate animal model. Heritability of BW ranged from 0.03 to 0.23. Genetic correlations were mainly high and positive. Selection for BW at 28 d of age yielded good indirect genetic progress in BW at 42 d of age.

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