Advertisement

Euphytica

, 215:26 | Cite as

Locating QTL associated with spike traits of Dongxiang wild rice (Oryza rufipogon Griff.)

  • Yongshu LiangEmail author
  • Chao Yan
  • Jian Zheng
  • Wenbin Nan
  • Xiaojian Qin
  • Hanma Zhang
Article
  • 29 Downloads

Abstract

Improvements in the spike of rice play an essential role in modern super-rice breeding projects. In this study, two sets of population, including 230 F2 plants and 150 F2:3 lines derived from a cross of Dongxiang wild rice (DXWR) and 93–11, were developed to identify quantitative trait loci (QTLs) for spike traits. A total of 38 QTLs affecting 20 spike traits and 37 epistatic QTL pairs with more than one interaction were detected in the two populations, explaining the wide phenotypic variation of QTLs ranging from 10.17 to 47.79% and from 27.07 to 78.60%, respectively. Among these QTLs, eight genomic regions containing clustered QTLs affecting two or more traits were detected on chromosome 3, 6, 7, 8, and 12 in the two populations, and two co-localized QTLs were located at intervals of RM3724–RM5745 and RM3484–RM6776 on chromosome 6 and 7, with pleiotropic effects on the MPW, NPB, GSD, NFG, and PpbIVIL. The additive-dominant-epistatic QTLs played an essential role in controlling the genetic expression of panicle traits in DXWR. Overall, these results can serve as a foundation for facilitating future cloning and molecular breeding in crop science.

Keywords

Oryza rufipogon Griff Molecular mapping Spike traits Quantitative trait locus (QTL) 

Notes

Acknowledgements

This work was supported by Chongqing Natural Science Foundation of China (No. cstc2018jcyjAX0768), the Education Department of Chongqing Municipality (No. KJ1703058; KJ1600303), the National Natural Science Foundation of China (No. 31501190), and the State Key Laboratory of Rice Biology (No. 150201).

References

  1. Chen SD, Yang RC (1996) Correlative heritabilities of panicle characters in indica rice. J Fujian Agric Univ 25(3):266–270 (in Chinese with abstract English) Google Scholar
  2. Chen DZ, Xiao YQ, Pi YH, Wu WC, Hu LX, Luo XY, Wu XY (2007) The breeding of overwintering Japonica variety, Dong ye 1. Crop Res 3:254 (in Chinese with English abstract) Google Scholar
  3. Chen ML, Xiong HJ, Hu LX, Luo SY, Liu ZH, Xiao YQ (2014) Research advances in genes of yield-related quantitative traits in rice. Acta Agric Jiangxi 24(12):16–20 (in Chinese with abstract English) Google Scholar
  4. Cui KH, Peng SB, Xing YZ, Yu SB, Xu CG, Zhang QF (2003) Molecular dissection of the genetic relationships of source, sink and transport tissue with yield traits in rice. Theor Appl Genet 106:649–658.  https://doi.org/10.1007/s00122-002-1113-z CrossRefPubMedGoogle Scholar
  5. Donald CM (1968) The breeding for crop ideptypes. Euphytic 17:385–403CrossRefGoogle Scholar
  6. Dong GC, Ju J, Yu XF, Zhang Y, Zhao JN, Li JQ, Tian H, Zhang B, Wang YL (2010) Study of difference of yield formation in conventional indica rice cultivars with different panicle weight. J Yangzhou Univ 31(1):49–54 (in Chinese with abstract English) Google Scholar
  7. Fu Q, Zhang PJ, Tan LB, Zhu ZF, Ma D, Fu YC, Zhan XC, Cai HW, Sun CQ (2010) Analysis of QTLs for yield-related traits in Yuanjiang common wild rice (Oryza rufipogom Griff.). J Genet Genom 37:147–157.  https://doi.org/10.1016/S1673-8527(09)60033-3 CrossRefGoogle Scholar
  8. Gao XQ, Chen ZH, Zhang J, Li XW, Chen GX, Li XH, Wu CY (2012) OsLIS-L1 encoding a lissencephaly type-1-like protein with WD40 repeats is required for plant height and male gametophyte formation in rice. Planta 235(4):713–727.  https://doi.org/10.1007/s00425-011-1532-7 CrossRefPubMedGoogle Scholar
  9. Gong JY, Du JH, Fan YY, Wu JR, Zhuang JY (2010) Quantitative trait loci for panicle size and grain yield detected in interval RM111–RM19784 on the short arm of rice chromosome 6. J Integr Agric 9(8):1085–1092.  https://doi.org/10.1016/S1671-2927(09)60194-2 CrossRefGoogle Scholar
  10. Guo XJ, Zhang T, Jiang KF, Yang L, Cao YJ, Yang QH, You SM, Wan XQ, Luo J, Li ZX, Gao L, Zheng JK (2013) Comparison of panicle length QTL based on F2 and F8 populations derived from rice subspecies cross. Sci Agric Sin 46(3):4849–4857 (in Chinese with abstract English) Google Scholar
  11. He GC, Shu LH, Zhou YQ, Liao LJ (1996) the overwintering ability of Dongxiang wild rice (Oryza rufipogon Griff.) at Wuhan. J Wuhan Univ 42:252–254 (in Chinese with abstract English) Google Scholar
  12. Huang DR, Chen J, Hou LJ, Fan YY, Zhuang JY (2008) Identification of QTLs for yield traits in the BC1F5 population of XieqingzaoB//XieqingzaoB/Dongxiang wild rice. J Agricu Biotechnol 16(6):977–982 (in Chinese with abstract English) Google Scholar
  13. Huang SJ, Qin WJ, Tu XQ (2012) Identification on resistance of Dongxing common wild rice to brown planthopper (Nilaparvata lugens). Acta Agric Jiangxi 24(11):64–65 (in Chinese with abstract English) Google Scholar
  14. Ji SD, Yuan PR, Luo X, Lee HS, Ahn SN (2012) Characterization of quantitative trait loci for number of primary branches in near-isogenic lines from a cross between the Oryza sativa cultivar ‘Hwayeongbyeo’ and the wild relative Oryza rufipogon Griff. Plant Breed 131(1):48–53.  https://doi.org/10.1111/j.1439-0523.2011.1923.x CrossRefGoogle Scholar
  15. Jin DM, Wang WJ, Lan SY, Xu ZX, Yang SH (2001) Heterosis and correlative analysis of yield components and panicle characters of Pei’ai64 s/E32. J Huazhong Agric Univ 20:516–521 (in Chinese with abstract English) Google Scholar
  16. Jing YH, Sun CQ, Tan LB, Fu YC, Zhang PJ, Xu ZJ, Chen WF, Wang XK (2005) Mapping QTLs controlling vascular bundle and panicle-related traits from Yuanjiang common wild rice (Oryza rufipogon Griff.). Acta Genet Sina 32(2):178–182Google Scholar
  17. Kim DM, Lee HS, Kwon SJ, Fabreag ME, Kang JW, Yun YT, Chung CT, Ahn SN (2014) High-density mapping of quantitative trait loci for grain-weight and spikelet number in rice. Rice 7:14–25.  https://doi.org/10.1186/s12284-014-0014-5 CrossRefPubMedPubMedCentralGoogle Scholar
  18. Kobayashi S, Fukuta Y, Yagi T, Sato T, Osaki M, Khush GS (2004) Identification and characterization of quantitative trait loci affecting spikelet number per panicle in rice (Oryza sativa L.). Field Crops Res 89:253–262.  https://doi.org/10.1016/j.fcr.2004.02.004 CrossRefGoogle Scholar
  19. Kobayashi K, Maekawa M, Miyao A, Hirochika H, Kyozuka J (2010) PANICLE PHYTOMER2 (PAP2), encoding a SEPALLATA subfamily MADS-box protein, positively controls spikelet meristem identity in rice. Plant Cell Physiol 51(1):47–57.  https://doi.org/10.1093/pcp/pcp166 CrossRefPubMedGoogle Scholar
  20. Li DJ, Sun CQ, Fu YC, Li C, Zhu ZF, Chen L, Cai HW, Wang XK (2002) Identification and mapping of genes for improving yield from Chinese common wild rice (O. rufipogon Griff) using advanced backcross QTL analysis. Chin Sci Bull 47(11):854–858.  https://doi.org/10.1360/02tb9337 CrossRefGoogle Scholar
  21. Li HB, Gao FY, Zeng LH, Li QX, Lu XJ, Li ZH (2012) QTL analysis of rice branch number using F2 population from introgression line of Oryza longistaminata L. Southwest China J Agric Sci 25(4):1129–1133 (in Chinese with abstract English) Google Scholar
  22. Liang YS, Zhan XD, Wang HM, Gao ZQ, Lin ZC, Chen DB, Shen XH, Cao LY, Cheng SH (2013) Locating QTLs controlling several adult root traits in an elite Chinese hybrid rice. Gene 526(2):331–335.  https://doi.org/10.1016/j.gene.2013.04.010 CrossRefPubMedGoogle Scholar
  23. Liang YS, Zheng J, Yan C, Li XX, Liu SF, Zhou JJ, Qin XJ, Nan WB, Yang YQ, Zhang HM (2018) Locating QTLs controlling overwintering traits in Chinese perennial Dongxiang wild rice. Mol Genet Genom 293(1):81–93.  https://doi.org/10.1007/s00438-017-1366-5 CrossRefGoogle Scholar
  24. Lin HX, Qian HR, Zhuang JY, Lu J, Min SK, Xiong ZM, Huang N, Zheng KL (1996) RFLP mapping of QTLs for yield and related characters in rice (Oryza sativa L.). Theor Appl Genet 92:920–927.  https://doi.org/10.1007/BF00224031 CrossRefPubMedGoogle Scholar
  25. Liu FX, Sun CQ, Tan LB, Fu YC, Li DJ, Wang XK (2003) Identification and mapping of quantitative trait loci controlling cold-tolerance of Chinese common wild rice (O. rufipogon Griff.) at booting to flowering stages. Chin Sci Bull 48(19):2068–2071.  https://doi.org/10.1360/03wc0287 CrossRefGoogle Scholar
  26. Liu GL, Mei HW, Yu XQ, Zou GH, Liu HY, Hu SP, Li MS, Wu JH, Chen L, Luo LJ (2008) QTL analysis of panicle neck diameter, a trait highly correlated with panicle size, under well-watered and drought conditions in rice (Oryza sativa L.). Plant Sci 174:71–77.  https://doi.org/10.1016/j.plantsci.2007.09.011 CrossRefGoogle Scholar
  27. Liu WJ, Zeng J, Jiang GH, He YQ (2009) QTLs identification of crude fat content in brown rice and its genetic basis analysis using DH and two backcross populations. Euphytica 169:197–205.  https://doi.org/10.1007/s10681-009-9922-7 CrossRefGoogle Scholar
  28. Liu TM, Shao D, Kovi MR, Xing YZ (2010) Mapping and validation of quantitative trait loci for spikelets per panicle and 1,000-grain weight in rice (Oryza sativa L.). Theor App Genet 120(5):933–942.  https://doi.org/10.1007/s00122-009-1222-z CrossRefGoogle Scholar
  29. Liu X, Zhao ZG, Liu LL, Xiao YH, Tian YL, Liu SJ, Chen LM, Wang YH, Liu YQ, Chen SH, Zhang WW, Wang CM, Jiang L, Wan JM (2016a) Construction of chromosomal segment substitution lines and genetic dissection of introgressed segments associated with yield determination in the parents of a super-hybrid rice. Plant Breed 135(1):63–72.  https://doi.org/10.1111/pbr.12329 CrossRefGoogle Scholar
  30. Liu EB, Liu Y, Wu G, Zeng SY, TranThi TG, Liang LJ, Liang YF, Dong ZY, She D, Zaid IU, Hong DL (2016b) Identification of a candidate gene for panicle length in rice (Oryza sativa L.) via association and linkage analysis. Front Plant Sci 7:596.  https://doi.org/10.3389/fpls.2016.00596 CrossRefPubMedPubMedCentralGoogle Scholar
  31. Mao CZ, Cheng SH (1999) Analysis of accuracy and influence factor in QTL mapping about agronomic traits in rice (Oryza sativa L). J Agric Biotechnol 7(4):386–394 (in Chinese with abstract English) Google Scholar
  32. Mao DH, Yu L, Chen DZ, Li LY, Zhu YX, Xiao YQ, Zhang DC, Chen CY (2015) Multiple cold resistance loci confer the high cold tolerance adaptation of Dongxiang wild rice (Oryza rufipogon Griff.) to its high-latitude habitat. Theor Appl Genet 128:1359–1371.  https://doi.org/10.1007/s00122-015-2511-3 CrossRefPubMedGoogle Scholar
  33. McCouch SR, Cho YG, Yano M, Paul E, Blinstrub M (1997) Report on QTL nomenclature. Rice Genet Newsl 14(11):11–131Google Scholar
  34. Mei HW, Luo LJ, Ying CS, Wang YP, Yu XQ, Guo LB, Paterson AH, Li ZK (2003) Gene actions of QTLs affecting several agronomic traits resolved in a recombinant inbred rice population and two testcross populations. Theor Appl Genet 107:89–101.  https://doi.org/10.1007/s00122-003-1192-5 CrossRefPubMedGoogle Scholar
  35. Meng L, Li HH, Zhang LY, Wang JK (2015) QTL IciMapping: integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations. Crop J 3:269–283.  https://doi.org/10.1016/j.cj.2015.01.001 CrossRefGoogle Scholar
  36. Miura K, Ikeda M, Matsubara A, Song XJ, Ito M, Asano KJ, Matsuoka M, Kitano HD, Ashikari MY (2010) OsSPL14 promotes panicle branching and higher grain productivity in rice. Nat Genet 42(6):545–549.  https://doi.org/10.1038/ng.592 CrossRefPubMedGoogle Scholar
  37. Nagata K, Fukuta Y, Shimizu H, Yag T, Terao T (2002) Quantitative trait loci for sink size and ripening traits in rice (Oryza sativa L.). Breed Sci 52:259–273CrossRefGoogle Scholar
  38. Ngu MS, Thomson MJ, Bhuiyan MAR, Ho C, Wichneswari R (2014) Fine mapping of a grain weight quantitative trait locus, qGW6, using near isogenic lines derived from Oryza rufipogon IRGC105491 and Oryza sativa cultivar MR219. Genet Mol Res 13(4):9477–9488.  https://doi.org/10.4238/2014 CrossRefPubMedGoogle Scholar
  39. Ren DY, He GH, Ling YH, Sang XC, Yang ZL, Zhao FM (2010) Analysis of quantitative trait loci additive and epistasis effects for panicle length with single segment substitution lines in rice. Chin Bull Bot 45(6):662–669 (in Chinese with abstract English) Google Scholar
  40. Sellamuthu R, Ranganathan C, Serraj R (2015) Mapping QTLs for reproductive-stage drought resistance traits using an advanced backcross population in upland Rice. Crop Sci 55(4):1–13.  https://doi.org/10.2135/cropsci2014.05.0344 CrossRefGoogle Scholar
  41. She D, Liu QM, Li DL, Liang YF, Liu EB, Dang XJ, Hong DL (2017) Mapping QTLs for seven panicle traits in rice (Oryza sativa L.) using chromosome segment substitution Lines Derived from II-32B/A7444. Acta Agron Sin 43(5):458–468CrossRefGoogle Scholar
  42. Shen XH, Cao LY, Chen SG, Zhang XD, Wu WM, Cheng SH (2009) Dissection of QTLs for panicle traits in recombinant inbred lines derived from super hybrid rice, Xieyou9308. Chin J Rice Sci 23(4):354–362 (in Chinese with abstract English) Google Scholar
  43. Singh VK, Ellur RJ, Singh AKU, Nagrajan M, Singh BD, Singh BD, Singh NK (2018) Effect of qGN4.1 QTL for grain number per panicle in genetic backgrounds of twelve different mega varieties of rice. Rice 11(1):8.  https://doi.org/10.1186/s12284-017-0195-9 CrossRefPubMedPubMedCentralGoogle Scholar
  44. Sui ZP, Wang TY, Li HJ, Zhang M, Li YY, Xu RB, Xing GF, Ni ZF, Xin MM (2016) Overexpression of peptide-encoding OsCEP6.1 results in pleiotropic effects on growth in rice (Oryza sativa L). Front Plant Sci 7:228.  https://doi.org/10.3389/fpls.2016.00228 CrossRefPubMedPubMedCentralGoogle Scholar
  45. Sun CQ, Wang XK, Yoshimura A, Iwata N (1997) RFLP analysis of nuclear DNA in common wild rice (O. rufipogon Griff.) and cultivated rice (O. sativa L.). Sci Agric Sin 30:37–44 (In Chinese with English abstract) Google Scholar
  46. Sun CQ, Wang XK, Li ZC, Yoshimura A, Iwata N (2001) Comparison of the genetic diversity of common wild rice (Oryza rufipogon Griff.) and cultivated rice (O. sativa L.) using RFLP markers. Theor Appl Genet 102:157–162.  https://doi.org/10.1007/s001220051631 CrossRefGoogle Scholar
  47. Sun ZZ, Yin XL, Ding J, Yu D, Hu M, Sun XW, Tan YN, Sheng XB, Liu L, Mo Y, Ning OY, Jiang BB, Yuan GL, Duan MJ, Yuan DY, Fang J (2017) QTL analysis and dissection of panicle components in rice using advanced backcross populations derived from Oryza Sativa cultivars HR1128 and ‘Nipponbare’. PLoS ONE 12(4):e0175692.  https://doi.org/10.1371/journal.pone.0175692 CrossRefPubMedPubMedCentralGoogle Scholar
  48. Tian F, Li DJ, Fu Q, Zhu ZF, Fu YC, Wang XK, Sun CQ (2006) Construction of introgression lines carrying wild rice (Oryza rufipogon Griff.) segments in cultivated rice (Oryza sativa L.) background and characterization of introgressed segments associated with yield-related traits. Theor Appl Genet 112:570–580.  https://doi.org/10.1007/s00122-005-0165-2 CrossRefPubMedGoogle Scholar
  49. Wang KJ, Tang D, Hong LL, Xu WY, Huang J, Li M, Gu MH, Xue YB, Cheng ZK (2010) DEP and AFO regulate reproductive habit in rice. PLoS Genet 6(1):e1000818.  https://doi.org/10.1371/journal.pgen.1000818 CrossRefPubMedPubMedCentralGoogle Scholar
  50. Wang ZQ, Liu X, Jiang L, Liu SJ, Chen LM, Yin CB, Zhai HQ, Wan JM (2011) Detection of QTLs for related traits of panicle in rice (Oryza sativa L.). Jiangsu J Agric Sci 27(1):5–12 (in Chinese with abstract English) Google Scholar
  51. Wang P, Zhou GL, Cui KH, Li ZK, Yu SB (2012) Clustered QTL for source leaf size and yield traits in rice (Oryza sativa L.). Mol Breed 29(1):99–113.  https://doi.org/10.1007/s11032-010-9529-7 CrossRefGoogle Scholar
  52. Wang Y, Zang J, Sun Y, Ali J, Xu JL, Li ZK (2013) Background-independent quantitative trait loci for drought tolerance identified using advanced backcross introgression lines in rice. Crop Sci 53(2):430–441.  https://doi.org/10.2135/cropsci2012.06.0361 CrossRefGoogle Scholar
  53. Wang J, Yu H, Xiong GS, Lu ZF, Jiao YQ, Meng XB, Liu GF, Chen XW, Wang Li JY (2017a) Tissue-specific ubiquitination by IPA1 interacting protein 1 modulates IPA1 protein levels to regulate plant architecture in rice. Plant Cell 29:697–707.  https://doi.org/10.1105/tpc.16.00879 CrossRefPubMedPubMedCentralGoogle Scholar
  54. Wang SS, Chen RK, Chen KY, Liu CY, Kao SM, Chung CL (2017b) Genetic mapping of the qSBN7 locus, a QTL controlling secondary branch number per panicle in rice. Breed Sci 67(4):340–347.  https://doi.org/10.1270/jsbbs.17007 CrossRefPubMedPubMedCentralGoogle Scholar
  55. Wu P, Zhang G, Huang N (1996) Identification of QTLs controlling quantitative characters in rice using RFLP markers. Euphytica 89:349–354.  https://doi.org/10.1007/bf00022292 CrossRefGoogle Scholar
  56. Wu JS, Zhou HK, Chen GB, Liu GF (2008) Mapping and dissection of QTLs for grain weight per panicle and 1000-grain weight in rice. Chin J Rice Sci 22(2):143–147 (in Chinese with abstract English) Google Scholar
  57. Wu B, Han ZM, Li ZX, Xing YZ (2012) Discovery of QTLs increasing yield related traits in common wild rice. Hereditas(Beijing) 34(2):215–222 in Chinese with English Abstract Google Scholar
  58. Wu YH, Tao XX, Xiao WM, Guo T, Liu YZ, Wang H, Chen ZQ (2014) Dissection of QTLs for panicle traits in rice (Oryza sativa L.). Acta Agron Sin 40(2):214–221 (in Chinese with abstract English) CrossRefGoogle Scholar
  59. Xiao JH, Li JM, Yuan LP, Tanksley SD (1995) Dominance is the major genetic basis of heterosis in rice as revealed by QTL analysis using molecular markers. Genetics 140:745–754.  https://doi.org/10.1007/BF01441162 CrossRefPubMedPubMedCentralGoogle Scholar
  60. Xiao J, Li J, Yuan L, Tanksley SD (1996) Identification of QTLs affecting traits of agronomic importance in a recombinant inbred population derived from a subspecific rice cross. Theor Appl Genet 92:230–244.  https://doi.org/10.1007/BF00223380 CrossRefPubMedGoogle Scholar
  61. Xie XB, Jin FX, Song MH, Suh JP, Hwang HG, Kin YG, McCouch SR, Ahn SN (2008) Fine mapping of a yield-enhancing QTL cluster associated with transgressive variation in an Oryza sativa × O.rufipogon cross. Theor Appl Gene 116:613–622.  https://doi.org/10.1007/s00122-007-0695-x CrossRefGoogle Scholar
  62. Xing YZ, Tan YF, Hua JP, Sun XL, Xu CG, Zhang QF (2002) Characterization of the main effects epistatic effects and their environmental interactions of QTLs on the genetic basis of yield traits in rice. Theor Appl Genet 105:248–257.  https://doi.org/10.1007/s00122-002-0952-y CrossRefPubMedGoogle Scholar
  63. Xiong LZ, Liu KD, Dai XK, Xu CG, Zhang QF (1999) Identification of genetic factors controlling domestication -related traits of rice using an F2 population of a cross between Oryza sativa and O.rufipogon. Theor Appl Genet 98:243–251.  https://doi.org/10.1007/s001220051064 CrossRefGoogle Scholar
  64. Xu ZJ, Chen WF, Sun ZH, Zhang SL, Liu LX, Zhou SQ (2004) Distribution of rice grain on panicle axis and its relationship with seed setting in Liaoning. Sci Agric Sin 37:963–967 (in Chinese with abstract English) Google Scholar
  65. Xu LQ, Xu QL, Qiu BY, Xiong YZ, Rao SF (2007) Comparative studies on the main agronomic characteristics between in situ and ex situ conserved wild rice populations in Dongxing. J Plant Genet Resour 8(1):99–101 (in Chinese with abstract English) Google Scholar
  66. Yamagishi M, Takeuchi Y, Kono I, Yano M (2002) QTL analysis for panicle characteristics in temperate japonica rice. Euphytica 128:219–224.  https://doi.org/10.1023/A:1020893731249 CrossRefGoogle Scholar
  67. Yoshida A, Ohmori Y, Kitano H, Taguchi-Shiobara F, Hirano H (2012) ABERRANT SPIKELET and PANICLE1, encoding a TOPLESS-related transcriptional co-repressor, is involved in the regulation of meristem fate in rice. Plant J 70(2):327–339.  https://doi.org/10.1111/j.1365-313X.2011.04872.x CrossRefPubMedGoogle Scholar
  68. You AQ, Lu XG, Jin HJ, Ren X, Liu K, Yang GC, Yang HY, Zhu LL, He GC (2006) Identification of quantitative trait loci across recombinant inbred lines and testcross populations for traits of agronomic importance in rice. Genetics 105:1287–1300.  https://doi.org/10.1534/genetics.105.047209 CrossRefGoogle Scholar
  69. Zhang X, Zhou SX, Fu YC, Su Z, Wang XK, Sun CQ (2006) Identification of a drought tolerant introgression line derived from Dongxiang common wild rice (O.rufipogon Griff.). Plant Mol Biol 62:247–259.  https://doi.org/10.1007/s11103-006-9018-x CrossRefPubMedGoogle Scholar
  70. Zhang L, Wang JJ, Wang JM, Wang LY, Ma B, Zeng LJ, Qi YB, Li Q, He ZH (2015) Quantitative trait locus analysis and fine mapping of the qPL6 locus for panicle length in rice. Theor App Genet 128(6):1151–1161.  https://doi.org/10.1007/s00122-015-2496-y CrossRefGoogle Scholar
  71. Zhao Y, Zhu J, Yang J, Xu HM, Gao YM, Song YS, Shi CH, Xiong YZ (2007) Predicting superior genotype for grain weight per panicle based on QTL mapping in rice. Acta Agron Sin 33(11):1856–1861 (in Chinese with abstract English) Google Scholar
  72. Zhu MS, Liu DL, Liu WG, Li D, Liao YL, Li JH, Fu CY, Fu FH, Huang HJ, Zeng XQ, Ma XZ, Wang F (2017) QTL mapping using an ultra-high-density SNP map reveals a major locus for grain yield in an elite rice restorer R998. Sci Rep 7(1):10914.  https://doi.org/10.1038/s41598-017-10666-7 CrossRefPubMedPubMedCentralGoogle Scholar
  73. Zhuang JY, Lin HX, Lu J, Qian HR, Hittalmani S, Huang N, Zheng KL (1997) Analysis of QTL × environment interaction for yield components and plant height in rice. Theor Appl Genet 95:799–808.  https://doi.org/10.1007/s001220050628 CrossRefGoogle Scholar

Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  • Yongshu Liang
    • 1
    Email author
  • Chao Yan
    • 1
  • Jian Zheng
    • 1
  • Wenbin Nan
    • 1
  • Xiaojian Qin
    • 1
  • Hanma Zhang
    • 1
  1. 1.Chongqing Key Laboratory of Molecular Biology of Plant Environmental AdaptationsChongqing Normal UniversityChongqingPeople’s Republic of China

Personalised recommendations