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Rice many important agronomic traits such as heading, plant height, panicle traits (grain length, grain width, etc.), the performance of the continuous variation of quantitative traits, their traits by genetic polygenic control, control these quantitative trait genes a quantitative trait loci (Quantitative Trait Locus QTL). QTL studies to improve crop agronomic traits, gene markers and cloning, molecular marker-assisted breeding to improve crop yields play an important role. In this study, a hybrid of the two japonica rice varieties Shennong 265 and the LTH Valley (LTH), built 176 F2 population, after continuous self-select, build 126 (Recombinant Inbred Lines RIL) strain restructuring since inbred and its linkage map material for the construction of genetic linkage map and QTL localization. The main results are as follows: (1) In this study, 176 F2 population QTL mapping analysis of the rice heading gene, located seven control heading QTL loci were located on chromosome 2,3,6,7, they heading traits contribution rate of 9.7% -23.0%. The seven QTL effect loci heading 6 with previous studies, fine mapping QTL effect sites coincide are qHD2 the same position Hd7 qHD3-1 with Hd9 position is the same, the same qHD3-HD8 position, qHD3-3 with Hd6 position the same qHD6-1 with Hd3 position qHD7 with Ghd7 (HD4) position the same, at the same time, we found a new major QTL loci qHD6-2, the contribution rate of 23%, this bit The point has not been previously detected (http://www.gramene.org/db/qtl/). (2) In this study, RIL population on rice Mesocotyl the QTL mapping analysis, application of 121 DNA markers were analyzed for the entire group of 126 recombinant inbred lines constructed genetic distance (cm) full-length 1397.50cM The average distance between markers to 15.61 cM linkage map covering the 12 chromosomes of the rice genome. Were detected in the water and gibberellin solution of two training conditions in the control of hypocotyl length QTL5 of distribution in 1,2,3,6 and chromosome 11, the LOD value in the range of 3.65-15.52 single QTL for phenotypic contribution rate of between 7% -33%. Which qML3 the qML6 and qML11 of two kinds of processing conditions are detected, qML1 and qML2 only detected in hydroponic conditions. 3 detected control kernel traits QTL13-a, are located on chromosome 2,3,8,9,10,11,12, the control grain length QTL5, the grain width QTL4, grain weight QTL4-a, these QTL contribution rate of phenotypic variation between 13.2% -55.8%. 4 detected 43 with panicle traits of QTL detection to control the number of primary branches, each panicle number of spikelets, secondary branch number of spikelets QTL five control panicle length, primary branches number of spikelets, each secondary branch number of spikelets, seed setting rate of the QTL 4, to control secondary branch number, secondary branch seed setting rate QTL 3, control the number of spikelets per panicle, solid particles the number of primary branches of seed setting rate of the two QTL, these QTL phenotypic variance contribution rate of 12.9% -46.38%. Detection to control plant height and section QTL22, which are located on chromosome 1,2,3,5,6,7,8,9,11,12, which plant height QTL5 control, control section QTL17 (the control down Ⅰ section QTL3 of control the inverted section II QTL6, to control the inverted section III QTL4 control inverted IV section QTL4, the contribution rate of these QTL on the phenotypic variation in 2.54% -50.79%.
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