Detection of signatures of selection is valuable in the discovery of potential genomic regions of functional mutations affecting quantitative traits (Hayes et al. 2008). Recent investigations suggest that, in the absence of classic selective sweeps, signatures of selection for complex traits are less likely to be detected by using individual selection tests on single breed data (Kemper et al. 2014). Our approach combines multiple selection tests and grouping of phenotypically alike breeds, and has been found to be highly efficient at detecting signatures of selection and identifying candidate gene regions for complex traits. This approach makes use of existing resources under long-term historical selection and provides a relatively inexpensive entry for more detailed follow-up studies in the genetic architecture of complex traits.