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To explore the major QTL and important chromosome regions of the rice yield and its related traits, a recombinant inbred line (F8) population with 184 lines, derived from a cross between Chuanxiang 29B (Oryza sativa L. subsp. indica) and Lemont (O. satva L. subsp. japonica), was developed. And in 2009 year, the QTL of ten traits including NP, PL, NPB, NSB, NFGP, TNSP, SD, SSR, TGWT and GYD were exploited. The major results were as follows:(1) A genetic linkage map of rice, which contained 98 SSR markers, was constructed. The map covered a total of 1244.8 cM with an average interval of 17.25 cM.(2) The analysis of correlation between ten yield and its related traits indicated that: GYD had a positive or significant positive correlation with NP, NPB, NSB, NFGP, SD, TNSP and SSR, TGWT, and had no significant correlation with PL. NP had a significant negative correlation with PL, NPB, NSB, NFGP, TNSP and SD. PL had a significant positive correlation with NPB, NSB, NFGP and TNSP. NSB had a significant positive correlation with NPB, NFGP, TNSP and SD, and a significant negative correlation with TGWT, and no significant correlation with SSR. NP, PL and NPB had no significant correlation with SSR and TGWT. NFGP had a significant positive correlation with SD and SSR, and no significant correlation with TGWT. TNSP had a significant positive correlation with SD, and a negative correlation with TGWT, and no significant correlation with SSR. SD had a significant negative correlation with TGWT, and no significant correlation with SSR. And SSR had no significant correlation with TGWT.(3) A total of twenty eight QTL, distributed on 1st、2nd、3rd、4th、5th、6th、7th、8th and 10th chromosome of rice, were detected. The two QTL named qNP-1 and qNP-3 were found to control NP. And their contributions were 7.47% and 8.12%, respectively. There were five QTL for PL. And their contributions were a range from 6.59% to 15.53%, in which qPLT-3-3 explained 15.53% of the total phenotypic variance. The three QTL were detected to control NPB. Their contributions were a range from 5.20% to 32.11%, in which the LOD score and contribution of qNPB-3 was 5.10 and 32.11%, respectively. There were three QTL controlling NSB. Their contributions were a range from 6.04% to 10.78%. There were two QTL named qNFGP-2 and qNFGP-3. And the contribution of qNFGP-3 was 18.08%. There were three QTL controlling TNSP. Their contributions were a range from 13.64% to 19.86%, in which qTNSP-3 explained 19.86% of the total phenotypic variance. There were three QTL controlling SD. And their contributions were a range from 6.85% to 11.84%. There were three QTL influencing SSR. Their contributions were a range from 6.26% to 6.96%. The one QTL for TGWT, named qTGWT-5, were found. Its LOD score and contribution were 2.96 and 7.02%. And three QTL controlling GYD were detected, named qGYD-3-1, qGYD-3-2 and qGYD-5, with the contribution of 14.05%, 17.41% and 10.62%, respectively.(4) And there were five QTL clusters. On the 3rd chromosome, there were two clusters. A QTL cluster for PL, SSR and GYD was located between RM514 and RM1004, and another QTL cluster for PL, NSB, NFGP and TNSP was located between RM520 and RM3513. On the 4th chromosome, there was a QTL cluster for TNSP and SD between RM5503 and RM1113. On the 5th chromosome, a QTL cluster for PL and TGWT was detected between RM164 and RM3437. On the 6th chromosome, there was a QTL cluster for NBP, TNSP and SD between RM5371 and RM7193.
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