Association mapping can quickly and efficiently dissect complex agronomic traits.Rapeseed is one of the most economically important polyploid oil crops,whereas,its genome sequences is not yet published.In this study,a recently developed 50 k Brassica Infinium(R)SNP array was used to analyze an association panel with 472 accessions.The SNPs of the array were in silico mapped using pseudomolecules representative of the genome of rapeseed to establish their hypothetical order and association mapping of seed weight and seed quality were performed.As results,two significant associations in A8 and C3 of B.napus were detected for erucic acid content and the peak SNPs were found to be only 233 kb and 128 kb away from the key genes BnaA.FAE1 and BnaC.FAE1.BnaA.FAE1 was also identified to be significantly associated with the oil content.Orthologues of A.thaliana HAG1 were identified close to four clusters of SNPs associated with glucosinolate content on A9,C2,C7 and C9.For seed weight,we detected two association signals in A7 and A9,which were consistent with previous studies of quantitative trait loci mapping.The results indicate that our association mapping approach is available for fine mapping the complex traits.