【Objective】To explore the genetic loci and candidate genes of glucosinolate content in Brassica napus, 【Methods】 The phenotype data for glucosinolate content of a double haploid (DH) population named KN population was surveyed in the year 2013-2017 for QTL mapping and identification of candidate genes using composite interval mapping by Wincart 2.5 software based on the high-density SNP genetic linkage map. 【Results】A total of 47 identified QTLs for glucosinolate content were detected, individual QTLs could explain 2.48%–19.63% of the phenotypic variation, of which qGC.16YL19-4 was the maximum phenotypic variation of 19.44% and qGC.15YL12-5 was the minimum phenotypic variation of 1.82%. 47 identified QTLs were integrated into 38 consensus QTL by meta-analysis. Seven environment stable expression QTLs (cqGC.A9-5, cqGC.A9-7, cqGC.A9-9, cqGC.C2-9, cqGC.C2-10, cqGC.C9-5 and cqGC.C9-6) for glucosinolate content were identified, including three major QTLs (cqGC.A9-5, cqGC.C2-10 and cqGC.C9-5). Three candidate genes (BnaA09g05480D, BnaC09g05620D and BnaC09g05810D) within major QTL confidence interval were identified, which were located in two major QTL regions. Based on their annotation, these candidate genes involved in the biosynthetic pathway of glucosinolates (the biosynthesis of IAOx and isomerization of 2-alkyl malic acid to form 3-alkyl malic acid ester) and transport and distribution of glucosinolates. 【Conclusion】 Three major QTLs for glucosinolate content and three candidate genes were identified, these results lay the provide theoretical basis for functional analysis of genes and the cultivation of fine quality rapeseed varieties in the future.