The course will also include presentations of genomic selection and the use of ASReml-R) to perform GBLUP analyses. It is recommended to have some prior understanding of linear mixed model methodology, genetic theory and that you are familiar with R ( 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. This workshop is strongly oriented to the practical aspect of analysis of real, complex, and messy datasets. In addition, some extensions on the use of complex statistical designs and on genetical/biological interpretation of the results will be discussed. 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). ASReml-R is a statistical software (and library in R) that fits linear mixed models using REML methodology and predicts BLUP (or EBV) values. Multivariate spatial statistical analysis of longitudinal data in perennial crops. However, the course places emphasis on agriculture, forestry and fisheries. 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.