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PREFACE The DMU package has been developed over a period of several years, mostly in response to the needs of various research projects. The name DMU stems from a working name used for initial procedures in the package. These procedures were used to do MUltivariate analysis by restricted maximum likelihood based on a Derivative-free approach. This release(More)
When including clinical mastitis in the breeding goal, it is useful to know what measure of the trait is most appropriate and its relationship to the primary production traits and indicator traits in the relevant population. In this paper, genetic and phenotypic parameters for clinical mastitis, somatic cell production deviance, and protein yield were(More)
In the present work, covariance components for milk yield and disease liability were estimated with bivariate random regression test-day sire models using a Bayesian approach and implemented via the Gibbs sampler. The data consist of 8075 first-parity Danish Holstein (DH) cows, from 1259 sires, performing in 57 herds from 1992 to 1997. Treatments associated(More)
The reaction norm model is becoming a popular approach for the analysis of genotype x environment interactions. In a classical reaction norm model, the expression of a genotype in different environments is described as a linear function (a reaction norm) of an environmental gradient or value. An environmental value is typically defined as the mean(More)
A Gaussian mixture model with a finite number of components and correlated random effects is described. The ultimate objective is to model somatic cell count information in dairy cattle and to develop criteria for genetic selection against mastitis, an important udder disease. Parameter estimation is by maximum likelihood or by an extension of restricted(More)
In this paper, a full Bayesian analysis is carried out in a semiparametric log normal frailty model for survival data using Gibbs sampling. The full conditional posterior distributions describing the Gibbs sampler are either known distributions or shown to be log concave, so that adaptive rejection sampling can be used. Using data augmentation, marginal(More)
A method of analysing response to selection using a Bayesian perspective is presented. The following measures of response to selection were analysed: 1) total response in terms of the difference in additive genetic means between last and first generations; 2) the slope (through the origin) of the regression of mean additive genetic value on generation; 3)(More)
Feed efficiency is one of the major components determining costs of animal production. Residual feed intake (RFI) is defined as the difference between the observed and the expected feed intake given a certain production. Residual feed intake 1 (RFI1) was calculated based on regression of individual daily feed intake (DFI) on initial test weight and average(More)
Low cost genotyping of individuals using high density genomic markers were recently introduced as genomic selection in genetic improvement programs in dairy cattle. Most implementations of genomic selection only use marker information, in the models used for prediction of genetic merit. However, in other species it has been shown that only a fraction of the(More)
This study was aimed at identifying genomic regions controlling feeding behavior in Danish Duroc boars and its potential implications for eating behavior in humans. Data regarding individual daily feed intake (DFI), total daily time spent in feeder (TPD), number of daily visits to feeder (NVD), average duration of each visit (TPV), mean feed intake per(More)