Use of major quantitative trait loci to improve grain yield of rice

Rice Science

Volumn 21, Issue 2, 2014, Pages 65-82

  Guo, Long Biao ^a   Ye, Guo You ^b  

^a CHINA NATIONAL RICE RESEARCH INSTITUTE   (China)

^b INTERNATIONAL RICE RESEARCH INSTITUTE   (Philippines)

Author keywords

Gene pyramiding; Marker assisted backcross; Marker assisted selection; Rice; Yield

Indexed keywords

EID: 84897561527     PISSN: 16726308     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1672-6308(13)60174-2     Document Type: Article

References (109)

1. Abe A, Kosugi S, Yoshida K, Natsume S, Takagi H, Kanzaki H, Matsumura H, Yoshida K, Mitsuoka C, Tamiru M, Innan H, Cano L, Kamoun S, Terauchi R Genome sequencing reveals agronomically important loci in rice using MutMap. Nat Biotechnol 2012, 30:174-178.
2. Allard RW Principle of Plant Breeding 1999, Wiley, New York. 2nd edn.
3. Ando T, Yamamoto T, Shimizu T, Ma XF, Shomura A, Takeuchi Y, Lin SY, Yano M Genetic dissection and pyramiding of quantitative traits for panicle architecture by using chromosomal segment substitution lines in rice. Theor Appl Genet 2008, 116(6):881-890.
4. Ashikari M, Sakakibara H, Lin SY, Yamamoto T, Takashi T, Nishimura A, Angeles ER, Qian Q, Kitano H, Matsuoka M Cytokinin oxidase regulates rice grain production. Science 2005, 309:741-745.
5. Austin RS, Vidaurre D, Stamatiou G, Breit R, Provart NJ, Bonetta D, Zhang J, Fung P, Gong Y, Wang PW, McCourt P, Guttman DS Next-generation mapping of Arabidopsis genes. Plant J 2011, 67(4):715-725.
6. Babu RC Breeding for drought resistance in rice: An intergrated view from physiology to genomics. Electron J Plant Breed 2012, 1:1133-1141.
7. Bandillo N, Raghavan C, Muyco PA, Sevilla MAL, Lobina IT, Dilla-Ermita CJ, Tung CW, McCouch S, Thomson M, Mauleon R, Singh RK, Gregorio G, Redoña E, Hide HL Multi-parent advanced generation inter-cross (MAGIC) populations in rice: Progress and potential for genetics research and breeding. Rice 2013, 6:11-26.
8. Bauman LE, Sinsheimer JS, Sobel EM, Lange K Mixed effects models for quantitative trait loci mapping with inbred strains. Genetics 2008, 180(3):1743-1761.
9. Becker A, Chao DY, Zhang X, Salt DE, Baxter I Bulk segregant analysis using single nucleotide polymorphism microarrays. PLoS One 2011, 6(1):e15993.
10. Bernardo R Molecular markers and selection for complex traits in plants: Learning from the last 20 years. Crop Sci 2008, 48:1649-1664.
11. Bernier J, Kumar A, Venuprasad R, Spaner D, Verulkar S, Mandal NP, Sinha PK, Peeraju P, Dongre PR, Mahto RN, Atlin G Characterization of the effect of a QTL for drought resistance in rice, qtl121, over a range of environments in the Philippines and eastern India. Euphytica 2009, 166:207-217.
12. Blanc G, Charcosset A, Mangin B, Gallais A, Moreau L Connected populations for detecting quantitative trait loci and testing for epistasis: An application in maize. Theor Appl Genet 2006, 113(2):206-224.
13. Bonilla P, Dvorak J, Mackill D, Deal K, Gregorio G RFLP and SSLP mapping of salinity tolerance genes in chromosome 1 of rice (Oryza sativa L.) using recombinant inbred lines. Ph Agric Sci 2002, 85:68-76.
14. Brauer MJ, Christianson CM, Pai DA, Dunham MJ Mapping novel traits by array-assisted bulk segregant analysis in Saccharomyces cerevisiae. Genetics 2006, 173(3):1813-1816.
15. Broman KW, Wu H, Sen S, Churchill GA R/qtl: QTL mapping in experimental crosses. Bioinformatics 2003, 19(7):889-890.
16. Brondani C, Rangel PHN, Brondani RPV, Ferreira ME QTL mapping and nitrogression of yield-related traits from Oryza glumaepatula to cultivated rice Oryza sativa using microsatellite markers. Theor Appl Genet 2002, 104:1192-1203.
17. Cavanagh C, Morell M, Mackay I, Powell W From mutations to MAGIC: Resources for gene discovery, validation and delivery in crop plants. Curr Opin Plant Biol 2008, 11(2):215-221.
18. Chen HD, He H, Zhou FS, Yu HH, Deng XW Development of genomics-based genotyping platforms and their applications in rice breeding. Curr Opin Plant Biol 2013, 16(2):247-254.
19. Collard BC, Mackill DJ Marker assisted selection: An approach for precision plant breeding in the twenty-first century. Philos Trans Roy Soc Lond B Biol Sci 2008, 363:557-572.
20. Cooper M, van Eeuwijk FA, Hammer GL, Podlich DW, Messina C Modeling QTL for complex traits: Detection and context for plant breeding. Curr Opin Plant Biol 2009, 12(2):231-240.
21. Crepieux S, Lebreton C, Servin B, Charmet G IBD-based QTL detection in inbred pedigrees: A case study of cereal breeding programs: IBD-based multi-cross QTL mapping. Euphytica 2004, 137:101-109.
22. Cuperus JT, Montgomery TA, Fahlgren N, Burke RT, Townsend T, Sullivan CM, Carrington JC Identification of MIR390a precursor processing-defective mutants in Arabidopsis by direct genome sequencing. Proc Natl Acad Sci USA 2010, 107(1):466-471.
23. Davey JW, Hohenlohe PA, Etter PD, Boone JQ, Catchen JM, Blaxter ML Genome-wide genetic marker discovery and genotyping using next-generation sequencing. Nat Rev Genet 2011, 12(7):499-510.
24. Delseny M, Salses J, Cooke R, Sallaud C, Regad F, Lagoda P, Guiderdoni E, Ventelon M, Brugidou C, Ghesquière A Rice genomics: Present and future. Plant Physiol Biochem 2001, 39(3/4):323-334.
25. Doi K, Iwata N, Yoshimura A The construction of chromosome substitution lines of African rice (Oryza glaberrima Steud.) in the background of japonica rice (O. sativa L.). Rice Genet Newsl 1997, 14:39-41.
26. Ebitani T, Takeuchi Y, Nonoue Y, Yamamoto T, Takeuchi K, Yano M Construction and evaluation of chromosome segment substitution lines carrying overlapping chromosome segments of indica rice cultivar 'Kasalath' in a genetic background of japonica elite cultivar 'Koshihikari'. Breed Sci 2005, 55(1):65-73.
27. Ehrenreich IM, Torabi N, Jia Y, Kent J, Martis S, Shapiro JA, Gresham D, Caudy AA, Kruglyak L Dissection of genetically complex traits with extremely large pools of yeast segregants. Nature 2010, 464:1039-1042.
28. Eizenga GC, Prasad B, Jackson AK, Jia MH Identification of rice sheath blight and blast quantitative trait loci in two different O. sativa/O. nivara advanced backcross populations. Mol Breed 2013, 31:889-907.
29. Eshed Y, Zamir D A genomic library of Lycopersicon pennellii in L. esculentum: A tool for fine mapping of genes. Euphytica 1994, 79:175-179.
30. FAOSTAT Production Statistics http://faostat.fao.org/.
31. Feenstra B, Skovgaard IM, Broman KW Mapping quantitative trait loci by an extension of the Haley-Knott regression method using estimating equations. Genetics 2006, 173(4):2269-2282.
32. Fekih R, Takagi H, Tamiru M, Abe A, Natsume S, Yaegashi H, Sharma S, Sharma S, Kanzaki H, Matsumura H, Saitoh H, Mitsuoka C, Utsushi H, Uemura A, Kanzaki E, Kosugi S, Yoshida K, Cano L, Kamoun S, Terauchi R MutMap+: Genetic mapping and mutant identification without crossing in rice. PLoS One 2013, 8(7):e68529.
33. Feng Y, Zhai RR, Lin ZC, Cao LY, Wei XH, Cheng SH QTL analysis for yield traits in rice under two nitrogen levels. Chin J Rice Sci 2013, 27(6):577-584. (in Chinese with English abstract).
34. Frisch M, Bohn M, Melchinger AE Comparison of selection strategies for marker-assisted backcrossing of a gene. Crop Sci 1999, 39:1295-1301.
35. Frisch M, Melchinger AE Marker-assisted backcrossing for simultaneous introgression of two genes. Crop Sci 2001, 41:1716-1725.
36. Fujita D, Santos RE, Ebron LA, Telebanco-Yanoria MJ, Kato H, Kobayashi S, Uga Y, Araki E, Takai T, Tsunematsu H, Imbe T, Khush GS, Brar DS, Fukuta Y, Kobayashi N Development of introgression lines of an indica-type rice variety, IR64, for unique agronomic traits and detection of the responsible chromosomal regions. Field Crops Res 2009, 114(2):244-254.
37. Gao ZY, Zhao SC, He WM, Guo LB, Peng YL, Wang JJ, Guo XS, Zhang XM, Rao YC, Zhang C, Dong GJ, Zheng FY, Lu CX, Hu J, Zhou Q, Liu HJ, Wu HY, Xu J, Ni PX, Zeng DL, Liu DH, Tian P, Gong LH, Ye C, Zhang GH, Wang J, Tian FK, Xue DW, Liao Y, Zhu L, Chen MS, Li JY, Cheng SH, Zhang GY, Wang J, Qian Q Dissecting yield-associated loci in super hybrid rice by resequencing recombinant inbred lines and improving parental genome sequences. Proc Natl Acad Sci USA 2013, 110(35):14492-14497.
38. Gregorio GB, Islam MR, Vergara GV, Thirumeni S Recent advances in rice science to design salinity and other abiotic stress tolerant rice varieties. SABRAO J Breed Genet 2013, 45(1):31-41.
39. Guo SB, Wei Y, Li XQ, Liu KQ, Huang FK, Chen CH, Gao GQ Development and identification of introgression lines from cross of Oryza sativa and Oryza minuta. Rice Sci 2013, 20(2):95-102.
40. Hayes BJ, Lewin HA, Goddard ME The future of livestock breeding: Genomic selection for efficiency, reduced emissions intensity, and adaptation. Trends Genet 2012, 29(4):206-214.
41. Hospital F Selection in backcross programmes. Philos Trans Roy Soc Lond B Biol Sci 2005, 360:1503-1511.
42. Hospital F, Chevalet C, Mulsant P Using markers in gene introgression breeding programs. Genetics 1992, 132(4):1199-1210.
43. Huang XH, Feng Q, Qian Q, Zhao Q, Wang L, Wang AH, Guan JP, Fan DL, Weng QJ, Huang T, Dong GJ, Sang T, Han B High-throughput genotyping by whole-genome resequencing. Genome Res 2009, 19:1068-1076.
44. Huang XH, Wei XH, Sang T, Zhao Q, Feng Q, Zhao Y, Li CY, Zhu CR, Lu TT, Zhang ZW, Li M, Fan DL, Guo YL, Wang AH, Wang L, Deng LW, Li WJ, Lu YQ, Weng QJ, Liu KY, Huang T, Zhou TY, Jing YF Genome-wide association studies of 14 agronomic traits in rice landraces. Nat Genet 2010, 42:961-967.
45. Huang XH, Zhao Y, Wei XH, Li CY, Wang AH, Zhao Q, Li WJ, Guo YL, Deng LW, Zhu CR, Fan DL, Lu YQ, Weng QJ, Liu KY, Zhou TY, Jing YF, Si LZ, Dong GJ, Huang T, Lu TT, Feng Q, Qian Q, Li JY, Han B Genome-wide association study of flowering time and grain yield traits in a worldwide collection of rice germplasm. Nat Genet 2012, 44:32-39.
46. Jannink JL, Lorenz AJ, Iwata H Genomic selection in plant breeding: From theory to practice. Brief Funct Genom 2010, 9(2):166-177.
47. Kover PX, Valdar W, Trakalo J, Scarcelli N, Ehrenreich IM, Purugganan MD, Durrant C, Mott R A multiparent advanced generation inter-cross to fine-map quantitative traits in Arabidopsis thaliana. PLoS Genet 2009, 5:e1000551.
48. Kubo T, Aida Y, Nakamura K, Tsunematsu H, Doi K, Yoshimura A Reciprocal chromosome segment substitution series derived from japonica and indica cross of rice (Oryza sativa L.). Breed Sci 2002, 52(4):319-325.
49. Li JM, Xiao JH, Grandillo S, Jiang LY, Wan YZ, Deng QY, Yuan LP, McCouch SR QTL detection for rice grain quality traits using an interspecific backcross population derived from cultivated Asian (O. sativa L.) and African (O. glaberrima S.) rice. Genome 2004, 47(4):697-704.
50. Li ZK, Fu BY, Gao YM, Xu JL, Ali L, Lafitt HR, Jiang YZ, Rey JD, Vijayakumar CH, Maghirang R, Zheng TQ, Zhu LH Genome-wide introgression lines and their use in genetic and molecular dissection of complex phenotypes in rice (Oryza sativa L.). Plant Mol Biol 2005, 59(1):33-52.
51. Lin HX, Yamamoto T, Sasaki T, Yano M Characterization and detection of epistatic interactions of 3 QTLs, Hd1, Hd2, and Hd3, controlling heading date in rice using nearly isogenic lines. Theor Appl Genet 2000, 101:1021-1028.
52. Liu Y, Zeng ZB A general mixture model approach for mapping quantitative trait loci from diverse cross designs involving multiple inbred lines. Genet Res 2000, 75(3):345-355.
53. Macdonald SJ, Long AD Joint estimates of quantitative trait locus effect and frequency using synthetic recombinant populations of Drosophila melanogaster. Genetics 2007, 176(2):1261-1281.
54. Mackay I, Powell W Methods for linkage disequilibrium mapping in crops. Trends Plant Sci 2007, 12(2):57-63.
55. Magwene PM, Willis JH, Kelly JK The statistics of bulk segregant analysis using next generation sequencing. PLoS Comput Biol 2011, 11(7):e1002255.
56. McCouch SR, Sweeney M, Li JM, Jiang H, Thomson M, Septiningsih E, Edwards J, Moncada P, Xiao JH, Garris A, Tai T, Martinez C, Tohme J, Sugiono M, McClung A, Yuan LP, Ahn SN Through the genetic bottleneck: O. rufipogon as a source of trait-enhancing alleles for O. sativa. Euphytica 2007, 154(3):317-339.
57. Mei HW, Xu JL, Li ZK, Yu XQ, Guo LB, Wang YP, Ying CS, Luo LJ QTLs influencing panicle size detected in two reciprocal introgressive line (IL) populations in rice (Oryza sativa L.). Theor Appl Genet 2006, 112(4):648-656.
58. Meuwissen THE, Hayes BJ, Goddard ME Prediction of total genetic value using genome-wide dense marker maps. Genetics 2001, 157(4):1819-1829.
59. Michelmore RW, Paran I, Kesseli RV Identification of markers linked to disease-resistance genes by bulked segregant analysis: A rapid method to detect markers in specific genomic regions by using segregating populations. Proc Natl Acad Sci USA 1991, 88(21):9828-9832.
60. Miura K, Ashikari M, Matsuoka M The role of QTLs in the breeding of high-yielding rice. Trends Plant Sci 2011, 16(6):319-326.
61. Mott R, Talbot CJ, Turri MG, Collins AC, Flint J A method for fine mapping quantitative trait loci in outbred animal stocks. Proc Natl Acad Sci USA 2000, 97(23):12649-12654.
62. Nadeau JH, Singer JB, Matin A, Lander ES Analysing complex genetic traits with chromosome substitution strains. Nat Genet 2000, 24(3):221-225.
63. Ohsumi A, Takai T, Ida M, Yamamoto T, Arai-Sanoh Y, Yano M, Ando T, Kondo M Evaluation of yield performance in rice near-isogenic lines with increased spikelet number. Field Crops Res 2011, 120(1):68-75.
64. Parisseaux B, Bernardo R In silico mapping of quantitative trait loci in maize. Theor Appl Genet 2004, 109(3):508-514.
65. Price AL, Patterson NJ, Plenge RM, Weinblatt ME, Shadick NA, Reich D Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet 2006, 38(8):904-909.
66. Pritchard J, Stephens M, Donnelly P Inference of population structure using multilocus genotype data. Genetics 2000, 15:945-959.
67. Qian Q, Guo LB, Yang CD Gene-Based Designed Breeding in Rice 2007, 519. Science Press, Beijing, (in Chinese).
68. Schneeberger K, Ossowski S, Lanz C, Juul T, Petersen AH, Nielsen KL, Jørgensen J, Weigel D, Andersen SU SHOREmap: Simultaneous mapping and mutation identification by deep sequencing. Nat Methods 2009, 6:550-551.
69. Servin B, Martin OC, Mézard M, Hospital F Toward a theory of marker-assisted gene pyramiding. Genetics 2004, 168(1):513-523.
70. Steele KA, Price AH, Shashidhar HE, Witcombe JR Marker-assisted selection to introgress rice QTLs controlling root traits into an Indian upland rice variety. Theor Appl Genet 2006, 112(2):208-221.
71. Steele KA, Virk DS, Kumar R, Prasad SC, Witcombe JR Field evaluation of upland rice lines selected for QTLs controlling root traits. Field Crops Res 2007, 101(2):180-186.
72. Steele KA, Price AH, Witcombe JR, Shrestha R, Singh BN, Gibbons JM, Virk DS QTLs associated with root traits increase yield in upland rice when transferred through marker-assisted selection. Theor Appl Genet 2013, 126(1):101-108.
73. Swamy BPM, Kumar A Sustainable rice yield in water-short drought-prone environments: Conventional and molecular approaches. Irrigation Systems and Practices in Challenging Environments 2011, 149-168. InTech, Rijeka, Croatia. T.S. Lee (Ed.).
74. Takagi H, Abe A, Yoshida K, Kosugi S, Natsume S, Mitsuoka C, Uemura A, Utsushi H, Tamiru M, Takuno S, Innan H, Cano LM, Kamoun S, Terauchi R QTL-seq: Rapid mapping of quantitative trait loci in rice by whole genome resequencing of DNA from two bulked populations. Plant J 2013, 74(1):174-183.
75. 2 progeny bulk combined with de novo assembly of gap regions identifies the rice blast resistance gene Pii. New Phytol 2013, 200(1):276-283.
76. Takai T, Nonoue Y, Yamamoto S, Yamanouchi U, Matsubara K, Liang ZW, Lin HX, Ono N, Uga Y, Yano M Development of chromosome segment substitution lines derived from backcross between indica donor cultivar 'Nona bokra' and japonica recipient cultivar 'Koshihikari'. Breed Sci 2007, 57(3):257-261.
77. Tanksley SD, Young ND, Patterson AH, Bonierbale MW RFLP mapping in plant breeding: New tools for an old science. Nat Biotechnol 1989, 7:257-264.
78. Tanksley SD, Nelson JC Advanced backcross QTL analysis: A method for the simultaneous discovery and transfer of valuable QTLs from unadapted germplasm into elite breeding lines. Theor Appl Genet 1996, 92(2):191-203.
79. Tanksley SD, McCouch SR Seed banks and molecular maps: Unlocking genetic potential from the wild. Science 1997, 277:1063-1066.
80. Tester M, Langridge P Breeding technologies to increase crop production in a changing world. Science 2010, 327:818-822.
81. Tian F, Li DJ, Fu Q, Zhu ZF, Fu YC, Wang XK, Sun CQ 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 2006, 112(3):570-580.
82. Uchida N, Sakamoto T, Kurata T, Tasaka M Identification of EMS-induced causal mutations in a non-reference Arabidopsis thaliana accession by whole genome sequencing. Plant Cell Physiol 2011, 52(4):716-722.
83. Uga Y, Okuno K, Yano M Dro1, a major QTL involved in deep rooting of rice under upland field conditions. J Exp Bot 2011, 62(8):2485-2494.
84. Uga Y, Sugimoto K, Ogawa S, Rane J, Ishitani M, Hara N, Kitomi Y, Inukai Y, Ono K, Kanno N, Inoue H, Takehisa H, Motoyama R, Nagamura Y, Wu JZ, Matsumoto T, Takai T, Okuno K, Yano M Control of root system architecture by DEEPER ROOTING 1 increases rice yield under drought conditions. Nat Genet 2013, 45:1097-1102.
85. Van Nguyen N, Ferrero A Meeting the challenges of global rice production. Paddy Water Environm 2006, 4:1-9.
86. Valdar W, Flint J, Mott R Simulating the collaborative cross: Power of quantitative trait loci detection and mapping resolution in large sets of recombinant inbred strains of mice. Genetics 2006, 172(3):1783-1797.
87. Wang P, Xing YZ, Li ZK, Yu SB Improving rice yield and quality by QTL pyramiding. Mol Breed 2012, 29(4):903-913.
88. Wang ZQ, Jiang L, Yi CB, Wang XL, Lei JG, Xiao YL, Liu X, Liu SJ, Chen LM, Yu JY, Wan JM QTL mapping of heterotic loci of yield-related traits in rice. Chin J Rice Sci 2013, 27(6):569-576. (in Chinese with English abstract).
89. Wickneswari R, Bhuiyan MAR, Kalluvettankuzhy KS, Lim LS, Thomson MJ, Narimah MK, Abdullah MZ Identification and validation of quantitative trait loci for agronomic traits in advanced backcross breeding lines derived from Oryza rufipogon × Oryza sativa cultivar MR219. Plant Mol Biol Rep 2012, 30(4):929-939.
90. Wolyn DJ, Borevitz JO, Loudet O, Schwartz C, Maloof J, Ecker JR, Berry CC, Chory J Light-response quantitative trait loci identified with composite interval and extreme array mapping in Arabidopsis thaliana. Genetics 2004, 167(2):907-917.
91. Wu XL, Jannink JL Optimal sampling of a population to determine QTL location, variance, and allelic number. Theor Appl Genet 2004, 108(7):1434-1442.
92. Xi ZY, He FH, Zeng RZ, Zhang ZM, Ding XH, Li WT, Zhang GQ Development of a wide population of chromosome single-segment substitution lines in the genetic background of an elite cultivar of rice (Oryza sativa L.). Genome 2006, 49(5):476-484.
93. Xie CQ, Gessler DDG, Xu SZ Combining different line crosses for mapping quantitative trait loci using the identical by descent-based variance component method. Genetics 1998, 149(2):1139-1146.
94. Xie WB, Feng Q, Yu HH, Huang XH, Zhao Q, Xing YZ, Yu SB, Han B, Zhang QF Parent-independent genotyping for constructing an ultrahigh-density linkage map based on population sequencing. Proc Natl Acad Sci USA 2010, 107:10578-10583.
95. Xu JJ, Zhao Q, Du PN, Xu CW, Wang BH, Feng Q, Liu QQ, Tang SZ, Gu MH, Han B, Liang GH Developing high throughput genotyped chromosome segment substitution lines based on population whole-genome re-sequencing in rice (Oryza sativa L.). BMC Genom 2010, 11(1):656.
96. Xu SZ Mapping quantitative trait loci using multiple families of line crosses. Genetics 1998, 148(1):517-524.
97. Yang ZM, Huang DQ, Tang WQ, Zheng Y, Liang KJ, Cutle AJ, Wu WR Mapping of quantitative trait loci underlying cold tolerance in rice seedlings via high-throughput sequencing of pooled extremes. PLoS One 2013, 87(7):e88433.
98. Ye GY, Ogbonnaya FC, van Ginkel M The use of marker-assisted recurrent backcrossing in cultivar development. Molecular Breeding in Crops, Principle, Method and Application 2009, 295-319. Studium Press, Texas, USA. R.K. Singh, R. Singh, G.Y. Ye, A. Selvi, G.P. Rao (Eds.).
99. Ye GY, Smith KF Marker-assisted gene pyramiding for cultivar development. Plant Breeding Reviews 2010, 33:219-256. John Wiley & Sons, Hoboken USA. J. Janick (Ed.).
100. Yu HH, Xie WB, Wang J, Xing YZ, Xu CG, Li XH, Xiao JH, Zhang QF Gains in QTL detection using an ultra-high density SNP map based on population sequencing relative to traditional RFLP/SSR markers. PLoS One 2011, 6(3):e17595.
101. Yu JM, Pressoir G, Briggs WH, Bi IV, Yamasaki M, Doebley JF, McMullen MD, Gaut BS, Nielsen DM, Holland JB, Kresovich S, Buckler ES A unified mixed-model method for association mapping that accounts for multiple levels of relatedness. Nat Genet 2005, 38:203-208.
102. Zeng ZB Precision mapping of quantitative trait loci. Genetics 1994, 136:1457-1468.
103. Zhao KY, Aranzana MJ, Kim S, Lister C, Shindo C, Tang CL, Toomajian C, Zheng HG, Dean C, Marjoram P, Nordborg M An Arabidopsis example of association mapping in structured samples. PLoS Genet 2007, 3(1):e4.
104. Zhao KY, Tung CW, Eizenga GC, Wright MH, Ali ML, Price AH, Norton GJ, Islam MR, Reynolds A, Mezey J, McClung AM, Bustamante CD, McCouch SR Genome-wide association mapping reveals a rich genetic architecture of complex traits in Oryza sativa. Nat Commun 2011, 2:467.
105. Zhang XJ, Wang JF, Huang J, Lan HX, Wang CL, Yin CF, Wu YY, Tang HJ, Qian Q, Li JY, Zhang HS Rare allele of OsPPKL1 associated with grain length causes extra-large grain and a significant yield increase in rice. Proc Natl Acad Sci USA 2012, 109(52):21534-21539.
106. Zhu WY, Lin J, Yang DW, Zhao L, Zhang YD, Zhu Z, Chen T, Wang CL Development of chromosome segment substitution lines derived from backcross between two sequenced rice cultivars, indica recipient 93-11 and japonica donor Nipponbare. Plant Mol Biol Rep 2009, 27(2):126-131.
107. Zhu Y, Mang HG, Sun Q, Qian J, Hipps A, Hua J Gene discovery using mutagen-induced polymorphisms and deep sequencing: Application to plant disease resistance. Genetics 2012, 192(1):139-146.
108. Zong G, Wang AH, Wang L, Liang GH, Gu MH, Sang T, Han B A pyramid breeding of eight grain-yield related quantitative trait loci based on marker-assistant and phenotype selection in rice (Oryza sativa L.). J Genet Genom 2012, 39:335-350.
109. Zuo JR, Li JY Molecular dissection of complex agronomic traits of rice: A team effort by Chinese scientists in recent years. Natl Sci Rev 2013, 10.1093/nsr/nwt004.