The rapid visco analyser(RVA) profile is an important factor for evaluation of the cooking and eating quality of rice. To improve rice quality, the identification of new quantitative trait loci(QTLs) for RVA profiling is of great significance. We used a japonica rice cultivar Nipponbare as the recipient and indica rice 9311 as the donor to develop a population containing 38 chromosome segment substitution lines(CSSLs) genotyped by a high-throughput re-sequencing strategy. In this study, the population and the parent lines, which contained similar apparent amylose contents, were used to map the QTLs of RVA properties including peak paste viscosity(PKV), hot paste viscosity(HPV), cool paste viscosity(CPV), breakdown viscosity(BKV), setback viscosity(SBV), consistency viscosity(CSV), peak time(PeT) and pasting temperature(PaT). QTL analysis was carried out using one-way analysis of variance and Dunnett’s test, and stable QTLs were identified over two years and under two environments. We identified 10 stable QTLs: qPKV2-1, qSBV2-1; qPKV5-1, qHPV5-1, qCPV5-1; qPKV7-1, qHPV7-1, qCPV7-1, qSBV7-1; and qPKV8-1 on chromosomes 2, 5, 7 and 8, respectively, with contributions ranging from-95.6% to 47.1%. Besides, there was pleiotropy in the QTLs on chromosomes 2, 5 and 7. To improve rice quality, the identification of new quantitative trait loci (QTLs) for RVA profiling is great significance. We used a japonica (RVA) profile is an important factor for evaluation of cooking and eating quality of rice. rice cultivar Nipponbare as the recipient and indica rice 9311 as the donor to develop a population containing 38 chromosome segments substitution lines (CSSLs) genotyped by a high-throughput re-sequencing strategy. In this study, the population and the parent lines, which contained Similar apparent amylose contents, were used to map the QTLs of RVA properties including peak paste viscosity (PKV), hot paste viscosity (HPV), cool paste viscosity (CPV), breakdown viscosity (BKV), setback viscosity (CSV), peak time (PeT) and pasting temperature (PaT). QTL analysis was carried out using one-way analysis of variance and Dunnett’s test, and stable QTLs were identified over two years and under two environments. We i dentified 10 stable QTLs: qPKV2-1, qSBV2-1; qPKV5-1, qHPV5-1, qCPV5-1; qPKV7-1, qHPV7-1, qCPV7-1, qSBV7-1; and qPKV8-1 on chromosomes 2, 5 , 7 and 8, respectively, with contributions ranging from-95.6% to 47.1%. Besides, there was pleiotropy in the QTLs on chromosomes 2, 5 and 7.