Multiple-trait random regression models for the estimation of genetic parameters for milk, fat, and protein yield in buffaloes

In this study, genetic parameters for test-day milk, fat, and protein yield were estimated for the first lactation. The data analyzed consisted of 1,433 first lactations of Murrah buffaloes, daughters of 113 sires from 12 herds in the state of São Paulo, Brazil, with calvings from 1985 to 2007. Ten-month classes of lactation days were considered for the test-day yields. The (co)variance components for the 3 traits were estimated using the regression analyses by Bayesian inference applying an animal model by Gibbs sampling. The contemporary groups were defined as herd-year-month of the test day. In the model, the random effects were additive genetic, permanent environment, and residual. The fixed effects were contemporary group and number of milkings (1 or 2), the linear and quadratic effects of the covariable age of the buffalo at calving, as well as the mean lactation curve of the population, which was modeled by orthogonal Legendre polynomials of fourth order. The random effects for the traits studied were modeled by Legendre polynomials of third and fourth order for additive genetic and permanent environment, respectively, the residual variances were modeled considering 4 residual classes. The heritability estimates for the traits were moderate (from 0.21-0.38), with higher estimates in the intermediate lactation phase. The genetic correlation estimates within and among the traits varied from 0.05 to 0.99. The results indicate that the selection for any trait test day will result in an indirect genetic gain for milk, fat, and protein yield in all periods of the lactation curve. The accuracy associated with estimated breeding values obtained using multi-trait random regression was slightly higher (around 8%) compared with single-trait random regression. This difference may be because to the greater amount of information available per animal. © 2013 American Dairy Science Association.

Imunomarcação de COX-2 e TGF-beta nas lesòes proliferativas da próstata do cão

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Polinômios fracionários em modelos de regressão

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Quimioterapia à base de ciclofosfamida metronômica no tratamento de pacientes com câncer de próstata resistente à castração

Pós-graduação em Pesquisa e Desenvolvimento (Biotecnologia Médica) - FMB

Associação entre atividade física e fatores de risco cardiovascular tradicionais e não tradicionais em pacientes em tratamento por hemodiálise

Pós-graduação em Fisiopatologia em Clínica Médica - FMB

Efeitos de diferentes doses de hemodiálise convencional diária na sobrevida de pacientes com injúria renal aguda

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Uso de antiinflamatórios COX-2 seletivos em ratos (Rattus novergicus) Wistar

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Preditores de recidiva hemorrágica ou óbito na hemorragia digestiva alta por úlcera péptica ou lesão aguda da mucosa gastroduodenal

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Influência dos marcadores inflamatórios sobre a evolução do estado nutricional e progressão da calcificação cardiovascular em pacientes portadores de doença renal crônica tratados por hemodiálise

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Imunomarcação de COX-2, PGE-2, VEGF e CASPASE-3 em mastocitomas cutâneos caninos

Pós-graduação em Medicina Veterinária - FMVZ

Genetic parameters for body weight in buffaloes (Bubalus bubalis) in Colombia using random regression models

The objective of this research was to estimate (co) variance functions and genetic parameters for body weight in Colombian buffalo populations using random regression models with Legendre polynomials. Data consisted of 34,738 weight records from birth to 900 days of age from 7815 buffaloes. Fixed effects in the model were contemporary group and parity order of the mother. Random effects were direct and maternal additive genetic, as well as animal and maternal permanent environmental effects. A cubic orthogonal Legendre polynomial was used to model the mean curve of the population. Eleven models with first to sixth order polynomials were used to describe additive genetic direct and maternal effects, and animal and maternal permanent environmental effects. The residual was modeled considering five variance classes. The best model included fourth and sixth order polynomials for direct additive genetic and animal permanent environmental effects, respectively, and third-order polynomials for maternal genetic and maternal permanent environmental effects. The direct heritability increased from birth until 120 days of age (0.32 +/- 0.05), decreasing thereafter until one year of age (0.18 +/- 0.04) and increased again, reaching 0.39 +/- 0.09, at the end of the evaluated period. The highest maternal heritability estimates (0.11 +/- 0.05), were obtained for weights around weaning age (weaning age range is between 8 and 9.5 months). Maternal genetic and maternal permanent environmental variances increased from birth until about one year of age, decreasing at later ages. Direct genetic correlations ranged from moderate (0.60 +/- 0.060) to high (0.99 +/- 0.001), maternal genetic correlations showed a similar range (0.41 +/- 0.401 and 0.99 +/- 0.003), and all of them decreased as time between weighings increased. Direct genetic correlations suggested that selecting buffalos for heavier weights at any age would increase weights from birth through 900 days of age. However, higher heritabilities for direct genetic weights effects after 600 days of age suggested that selection for these effects would be more effective if done during this age period. A greater response to selection for maternal ability would be expected if selection used maternal genetic predictions for weights near weaning. (C) 2013 Elsevier B.V. All rights reserved.

A Cohort Study of Caries Incidence and Baseline Socioeconomic, Clinical and Demographic Variables: A Kaplan-Meier Survival Analysis

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Healing Actions of Essential Oils from Citrus aurantium and d-Limonene in the Gastric Mucosa: The Roles of VEGF, PCNA, and COX-2 in Cell Proliferation

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Cellular and molecular studies of the effects of a selective COX-2 inhibitor celecoxib in the cardiac cell line H9c2 and their correlation with death mechanisms

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)