Now showing items 1-5 of 5
Bayesian analysis of random regression models using B-splines to model test-day milk yield of Holstein cattle in Brazil
(Livestock Science, 2012-12-01) [Artigo]
The objective of this paper is to model variations in test-day milk yields of first lactations of Holstein cows by RR using B-spline functions and Bayesian inference in order to fit adequate and parsimonious models for the ...
Effect of pregnancy on the genetic evaluation of dairy cattle
(Genetics and Molecular Research, 2011-01-01) [Artigo]
We investigated the effect of stage of pregnancy on estimates of breeding values for milk yield and milk persistency in Gyr and Holstein dairy cattle in Brazil. Test-day milk yield records were analyzed using random ...
Genetic parameters for buffalo milk yield and milk quality traits using Bayesian inference
(Journal of Dairy Science, 2010-05-01) [Artigo]
The availability of accurate genetic parameters for important economic traits in milking buffaloes is critical for implementation of a genetic evaluation program. In the present study, heritabilities and genetic correlations ...
Parametric correlation functions to model the structure of permanent environmental (co)variances in milk yield random regression models
(Journal of Dairy Science, 2009-09-01) [Artigo]
The objective of the present study was to estimate milk yield genetic parameters applying random regression models and parametric correlation functions combined with a variance function to model animal permanent environmental ...
Short communication: Principal components and factor analytic models for test-day milk yield in Brazilian Holstein cattle
(Journal of Dairy Science, 2012-04-01) [Artigo]
A total of 46,089 individual monthly test-day (TD) milk yields (10 test-days), from 7,331 complete first lactations of Holstein cattle were analyzed. A standard multivariate analysis (MV), reduced rank analyses fitting the ...