This workshop will focus on the fundamentals of using the ASReml-R version (with optional support on ASReml stand alone) for the analysis of genetic data arising mainly from agricultural, animal and forestry breeding programs. However, the course places emphasis on agriculture, forestry and fisheries. ASReml-R is a statistical software (and library in R) that fits linear mixed models using REML methodology and predicts BLUP (or EBV) values. Genetic concepts required for the construction of appropriate linear models will be addressed together with understanding ASReml interface, inputting and manipulating data, proper construction/specification of linear models (and their variance structure). In addition, some extensions on the use of complex statistical designs and on genetical/biological interpretation of the results will be discussed. This workshop is strongly oriented to the practical aspect of analysis of real, complex, and messy datasets. It is recommended to have some prior understanding of linear mixed model methodology, genetic theory and that you are familiar with R (www.r-project.org). The main topics discussed will be univariate analyses of animal (individual) model, half-sib families, and full-sib families together with presentation of multivariate and multi-environment trials studies and spatial analyses. The course will also include presentations of genomic selection and the use of ASReml-R) to perform GBLUP analyses.