The dissection of grain yield (GY) genetic basis is a major challenges to enhance food security and the sustainability of crop production. Multi-environment trials of suitable populations can be used to identify the main traits and the relevant QTLs involved in the adaptation to different environmental conditions. This study presents the results of the GWAS analysis of 49 trials conducted in 13 years across a broad range of environments, mainly in the Mediterranean basin and Mexico, using a panel of 183 elite durum wheat (Triticum turgidum L. ssp. durum Desf.) accessions assembled at the University of Bologna (UniBO Durum Panel). Grain yield and heading/flowering time data were collected in all trials while yield components (grains/spike, spike/m2 and TKW) in most of the experiments. As a first step, a dendrogram of environments was produced on the basis of the Ward’s distance of the correlation of GY. In a second step, multi-environmental genotypic BLUES were calculated for each branch of the trials dendrogram, starting from K = 2 up to K = 4. GWAS was performed for each mega pheno-environment using the software TASSEL. Trials clustering tightly reflected the geographical and agronomical peculiarities of the trials. At K = 2, one of the branches included all but one the experiments conducted in the Italian Po valley plus two experiments conducted in Hungary and one in Turkey; the second branch included all the experiments conducted in the middle-east, Morocco and Mexico. From preliminary observations, both mega-environment-specific and ubiquitous QTLs have been detected like the QTL on chromosome 4AS found in the first group to be highly significant (pvalue < 10-5) mainly in the Italian trials cluster and not significant in the other branches of the dendrogram. As a highpenetrance QTL we report the case of the QTL on chromosome 6AS, highly significant in both main branches of the dendrogram. Other QTLs are sub-cluster specific, indicating either an environmental-specific expression of the gene underlining the QTLs and/or a specificity of the relevance of the controlled trait on the adaptation to given environmental conditions. The combined information about environmental features and QTL effects in mega-environments might shed light on the role of adaptive traits in the agronomic performance of durum wheat elite materials. These results will help devising more accurate models to predict the performance of any durum accession based upon the haplotype at the main GY QTLs and the prevailing environmental conditions.