Genetic association between milk yield, stayability, and mastitis in Holstein cows under tropical conditions

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Genetic parameters for production traits of dairy Gyr (Bos indicus) x Holstein cattle estimated with a random regression model

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

Análise comparativa da produção e composição físico-química do leite considerando a utilização de diferentes volumosos na alimentação de vacas Girolando

Pós-graduação em Medicina Veterinária - FMVZ

Perfil de ácidos graxos e análise sensorial de carne e iogurte de leite de caprinos alimentados com óleos vegetais

Pós-graduação em Zootecnia - FMVZ

Combination Therapy for the Cardiovascular Effects of Perinatal Lead Exposure in Young and Adult Rats

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

Diurnal behavior of dairy cows on alfalfa pastures supplemented with corn silage and concentrate

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

Random regression models to estimate genetic parameters for milk production of Guzerat cows using orthogonal Legendre polynomials

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

Phosphorus reduction by sifting fish waste meal

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

Comportamento de vacas e bezerros Girolandos em pastagem e sua relação com o nível de cortisol fecal como indicador de estresse

Pós-graduação em Zootecnia - FCAV

Repercusões a longo prazo do padrão alimentar ocidental ocorrido durante a gestação, lactação e fase juvenil na susceptibilidade ao desenvolvimento de câncer do cólon em ratos

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Conhecimentos e práticas dos agentes comunitários de saúde na promoção do aleitamento materno

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise da heterocedasticidade em bubalinos utilizando informações genômicas

Pós-graduação em Genética e Melhoramento Animal - FCAV

Predicting breeding values for milk yield of Guzera (Bos indicus) cows using random regression models

Given the importance of Guzera breeding programs for milk production in the tropics, the objective of this study was to compare alternative random regression models for estimation of genetic parameters and prediction of breeding values. Test-day milk yields records (TDR) were collected monthly, in a maximum of 10 measurements. The database included 20,524 records of first lactation from 2816 Guzera cows. TDR data were analyzed by random regression models (RRM) considering additive genetic, permanent environmental and residual effects as random and the effects of contemporary group (CG), calving age as a covariate (linear and quadratic effects) and mean lactation curve as fixed. The genetic additive and permanent environmental effects were modeled by RRM using Wilmink, All and Schaeffer and cubic B-spline functions as well as Legendre polynomials. Residual variances were considered as heterogeneous classes, grouped differently according to the model used. Multi-trait analysis using finite-dimensional models (FDM) for testday milk records (TDR) and a single-trait model for 305-days milk yields (default) using the restricted maximum likelihood method were also carried out as further comparisons. Through the statistical criteria adopted, the best RRM was the one that used the cubic B-spline function with five random regression coefficients for the genetic additive and permanent environmental effects. However, the models using the Ali and Schaeffer function or Legendre polynomials with second and fifth order for, respectively, the additive genetic and permanent environmental effects can be adopted, as little variation was observed in the genetic parameter estimates compared to those estimated by models using the B-spline function. Therefore, due to the lower complexity in the (co)variance estimations, the model using Legendre polynomials represented the best option for the genetic evaluation of the Guzera lactation records. An increase of 3.6% in the accuracy of the estimated breeding values was verified when using RRM. The ranks of animals were very close whatever the RRM for the data set used to predict breeding values. Considering P305, results indicated only small to medium difference in the animals' ranking based on breeding values predicted by the conventional model or by RRM. Therefore, the sum of all the RRM-predicted breeding values along the lactation period (RRM305) can be used as a selection criterion for 305-day milk production. (c) 2014 Elsevier B.V. All rights reserved.

Impact of gestational diabetes and lactational insulin replacement on structure and secretory function of offspring rat ventral prostate

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

Produção de leite, duração da lactação e intervalo de partos em búfalas mestiças Murrah

This study aimed to evaluate the potential for milk production (MP), lactation length (LL) and calving interval (CI), analyze the environmental component affecting these traits, and to estimate the heritability and repeatability for milk production in crossbreds of Murrah buffalo cows in the state of Alagoas, Brazil. Data was composed of 487 observations of MP from 136 lactations recorded between the years of 2000 and 2010. In the analysis of variance for PL, the fixed effects were season (1- October to March, 2 -April to September) and year of the beginning of lactation, calving order and the LL (covariate). For the analysis of LL only the fixed effect of year of the beginning of lactation was included, and finally for the CI analysis, year of the beginning of lactation and calving order. The estimates of covariance were obtained using unicharacteristic analysis by Bayesian inference method, applyingan animal model, through Gibbs sampling. The additive genetic, permanent environment and residual effects were included as random effects in the model. The averages (sd) of MP, LL and CI were 2,218.03 kg (408.18), 282.59 days (39.48) e 422.49 days (91.05), respectively. All the effects included in the models were important (P<0.01). The estimates of heritability and repeatability for PL were 0.29 and 0.69, respectively. The results suggest that there is a moderate genetic variability among individuals for PL, indicating the possibility to obtain gain using selection.