A recombinant inbred line (RIL) population, derived from a superhybrid rice Xieyou 9308 (Xieqingzao B×Zhonghui 9308) and its genetic linkage map were used to detect QTLs by Windows QTL Cartographer 2.5 for yield traits under low and normal nitrogen conditions in rice. A total of 52 QTLs for yield traits distributing in 27 regions on nine chromosomes were detected, explaining 4.93%-26.73% of the phenotypic variation, separately for each QTL. Eleven QTLs were detected in both nitrogen conditions, and thirty different QTLs were detected under two nitrogen treatments, suggesting a different genetic basis controlling rice growth at low versus normal nitrogen conditions. QTLs for number of panicles per plant, number of spikelets per panicle, number of filled grains per panicle under two nitrogen conditions and grain density under low nitrogen conditions were detected at the interval RM135-RM168 on chromosome 3. QTLs for number of spikelets per panicle, number of filled grains per panicle under two nitrogen conditions and number of panicles per plant, grain density under low nitrogen condition were detected at the interval RM5556-RM310 on chromosome 8. The QTLs described above shared the similar regions with QTLs for rice nitrogen recycling reported previously.
\[1\]Peng S B, Huang J L, Zhong X H, et al. Challenge and opportunity in improving fertilizernitrogen use efficiency of irrigated rice in China. Sci Agric Sin, 2002, 1(7): 776785.
\[2\]Senaratne R, Ratnasinghe D S. Nitrogen fixation and beneficial effects of some grain legumes and greenmanure crops on rice. Boil Fert Soils, 1995, 19: 4954.
\[3\]Xing G X, Zhu Z L. An assessment of N loss from agricultural fields to the environment in China. Nutr Cycl Agroecosys, 2000, 57: 6773.
\[4\]Peng S B, Buresh R J, Huang J L, et al. Strategies for overcoming low agronomic nitrogen use efficiency in irrigated rice system in China. Field Crops Res, 2006, 96: 3747.
\[5\]Shan Y H, Wang Y L, Pan X B. Mapping of QTLs for nitrogen use efficiency and related traits in rice (Oryza sativa L.). Sci Agric Sin, 2005, 4(10): 721727.
\[6\]Cho Y, Jiang W Z, Chin J H, et al. Identification of QTLs associated with physiological nitrogen use efficiency in rice. Mol Cells, 2007, 23(1): 7279.
\[7\]程式华, 庄杰云, 曹立勇, 等. 超级杂交稻分子育种研究. 中国水稻科学, 2004, 18(5): 377383.
\[8\]Zhang Q F. Strategies for developing green super rice. Proc Natl Acad Sci USA, 2007, 104(42): 1640216409.
\[9\]Jiang Y H, Cai Z X, Xie W B, et al. Rice functional genomics research: Progress and implications for crop genetic improvement. Biotechnol Adv, 2012, 30: 10591070.
\[10\]Wei D, Cui K H, Yu G Y, et al. QTL mapping for nitrogenuse efficiency and nitrogendeficiency tolerance traits in rice. Plant Soil, 2012, 359: 281295.
\[11\]冯跃, 翟荣荣, 曹立勇, 等. 不同施氮水平下水稻株高与抽穗期的QTL比较分析. 作物学报, 2011, 37(9): 15251532.
\[12\]Wei D, Cui K H, Pan J F, et al. Genetic dissection of grain nitrogen use efficiency and grain yield and their relationship in rice. Field Crops Res, 2011, 124: 340346.
\[13\]Feng Y, Cao L Y, Wu W M, et al. Mapping QTLs for nitrogendeficiency tolerance at seedling stage in rice (Oryza sativa L.). Plant Breeding, 2010, 129: 652656.
\[14\]沈希宏, 陈深广, 曹立勇, 等. 超级杂交稻协优9308重组自交系的分子遗传图谱构建. 分子植物育种, 2008, 6(5): 861866.
\[15\]McCouch S R. Gene nomenclature system for rice. Rice, 2008, 1(1): 7284.
\[16\]曹桂兰, 张媛媛, 朴钟泽, 等. 水稻不同基因型耐低氮能力差异评价. 植物遗传资源学报, 2006, 7(3): 316320.
\[17\]朴钟泽, 韩龙植, 高熙宗. 水稻不同基因型氮素利用效率差异. 中国水稻科学, 2003, 17(3): 233238.
\[18\]江立庚, 戴廷波, 韦善清, 等. 南方水稻氮素吸收与利用效率的基因型差异及评价. 植物生态学报, 2003, 27(4): 466471.
\[19\]程建峰, 戴廷波, 蒋海燕, 等. 水稻拔节期叶片碳氮代谢基因型差异及与氮素利用效率的关系. 中国水稻科学, 2012, 26(1): 101108.
\[20\]冯跃, 曹立勇, 吴伟明, 等. 水稻苗期不同阶段与低氮耐性相关的QTL分析. 植物营养与肥料学报, 2010, 16(4): 880886.
\[21\]Zhuang J Y, Lin H X, Lu J, et al. Analysis of QTL × environment interaction for yield components and plant height in rice. Theor Appl Genet, 1997, 95: 799808.
\[22\]Cho Y G, Kang H J, Lee J S, et al. Identification of quantitative trait loci in rice for yield, yield components, and agronomic traits across years and locations. Crop Sci, 2007, 47: 24032417.
\[23\]Tong H H, Mei H W, Yu X Q, et al. Identification of related QTLs at late developmental stage in rice (Oryza sativa L.) under two nitrogen levels. Acta Gen Sin, 2006, 33(5): 458467.
\[24\]Tong H H, Chen L, Li W P, et al. Identification and characterization of quantitative trait loci for grain yield and its components under different nitrogen fertilization levels in rice (Oryza sativa L.). Mol Breeding, 2011, 28: 495509.
\[25\]Senthilvel S, Vinod K K, Malarvizhi P, et al. QTL and QTL × environment effects on agronomic and nitrogen acquisition traits in rice. J Inter Plant Biol, 2008, 50(9): 11081117.
\[26\]Ishimaru K, Kobayashi N, Ono K, et al. Are contents of rubisco, soluble protein and nitrogen in flag leaves of rice controlled by the same genetics? J Exp Bot, 2001, 52(362): 18271833.
\[27\]Hu S K, Zeng D L, Su Y, et al. QTL analysis of nitrogen content of plant shoot under two nitrogen conditions in rice (Oryza sativa L.). Aust J Crop Sci, 2012, 6(12): 17371744.
\[28\]Yamaya T, Obara M, Nakajima H, et al. Genetic manipulation and quantitativetrait loci mapping for nitrogen recycling in rice. J Exp Bot, 2002, 53(370): 917925.
\[29\]Obara M, Kajiura M, Fukuta Y, et al. Mapping of QTLs associated with cytosolic glutamine synthetase and NADHglutamate synthase in rice (Oryza sativa L.). J Exp Bot, 2001, 52(359): 12091217.