Winter wheat (Triticum aestivum L.) is a cold-hardy crop with higher yield potential compared to its spring counterpart, which makes it more desirable to Ontario farmers. Given its economic importance, it is imperative that new selection methods, including genomic selection (GS), are introduced to allow for the rapid selection of value-added traits and the development of commercial cultivars. The objectives of this experiment are to examine the feasibility of integrating genomic selection with an accelerated generation-advancement population development strategy in a winter wheat breeding program and to determine the accuracy of predicting the performance of optimal winter wheat lines for advancement to the advanced and elite yield trials. Genotypes in the advanced and elite yield trials will be used as the training set to train GS models to predict performance of the genotypes in the preliminary yield trials (the testing set). A number of traits with varying expected heritability estimates are evaluated, including grain yield, kernel hardness and kernel weight, to examine the suitability of various prediction models chosen. Prediction accuracy of each model will be tested as the correlation between predicted and observed values for each trait. Overall, this will examine the possibility of increasing annual genetic gain and decreasing the selection time period prior to rigorous testing for commercial release, resulting in tremendous benefits to winter wheat breeding programs.