An improved protocol of QTL-seq, an NGS-based method for bulked segregant analysis we previously developed in rice, allowed successful mapping of QTLs of interest in the highly heterozygous genome of B. rapa, demonstrating the power of this elegant method for genetic analyses in heterozygous species of economic importance. Recent advances in next-generation sequencing (NGS) and the various NGS-based methods developed for rapidly identifying candidate genes of interest have accelerated genetic analysis mainly in the model plants rice and Arabidopsis. Brassica rapa includes several economically important crops such as Chinese cabbage, turnip and various leafy vegetables. The application of NGS-based approaches for the analysis of B. rapa has been limited mainly due to its highly heterozygous genome and poor quality of the reference genome sequence currently available for this species. In this study, we have improved QTL-seq, a method for NGS-based bulked segregant analysis we previously developed in rice, extending its applicability for accelerating the genetic analysis and molecular breeding of B. rapa. Addition of new filters to the original QTL-seq pipeline allowed removal of spurious single-nucleotide polymorphisms caused by alignment/sequencing errors and variability between parents, significantly improving accuracy of the analysis. As proof of principle, we successfully applied the new approach to identify candidate genomic regions controlling flowering and trichome formation using segregating F2 progeny obtained from crosses made between cultivars of B. rapa showing contrasting phenotypes for these traits. We strongly believe that the improved QTL-seq method reported here will extend the applicability of NGS-based genetic analysis not only to B. rapa but also to other plant species of economic importance with heterozygous genomes.