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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)
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 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)
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)
Genomic selection (GS) has become a commonly used technology in animal breeding. In crops, it is expected to significantly improve the genetic gains per unit of time. So far, its implementation in plant breeding has been mainly investigated in species farmed as homogeneous varieties. Concerning crops farmed in family pools, only a few theoretical studies(More)
A newly developed flow cytometric method for determination of sperm concentration and viability was tested in an insemination trial with cryopreserved bull sperm to establish the relationship between sperm viability and nonreturn rates. Semen for experimental inseminations was produced from 157 young sires (114 Holstein and 43 Jersey), each contributing 4(More)
A fully Bayesian analysis using Gibbs sampling and data augmentation in a multivariate model of Gaussian, right censored, and grouped Gaussian traits is described. The grouped Gaussian traits are either ordered categorical traits (with more than two categories) or binary traits, where the grouping is determined via thresholds on the underlying Gaussian(More)
This study presents a multivariate, variance component-based QTL mapping model implemented via restricted maximum likelihood (REML). The method was applied to investigate bivariate and univariate QTL mapping analyses, using simulated data. Specifically, we report results on the statistical power to detect a QTL and on the precision of parameter estimates(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)
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)