Acknowledgement
Supported by : 작물기능유전체사업단
References
- Aluko G, Martinez C, Tohme J, Castano C, Bergman C, and Oard JH. 2004. QTL mapping of grain quality traits from the interspecific cross Oryza sativa x O. glaberrima. Theor. Appl. Genet. 109:630-639 https://doi.org/10.1007/s00122-004-1668-y
- Amarawathi YL, Singh R, Singh AK et al. 2008. Mapping of quantitative trait loci for basmati quality traits in rice. Mol. Breeding 21:49-65 https://doi.org/10.1007/s11032-007-9108-8
- Association of Official Analytical Chemists. 1995. AOAC. Method 990.03. In: Official Methods of Analysis. 16th ed. AOAC., Washington D.C., USA
- Causse MA, Fulton TM, Cho YG, Ahn SN, Chunwongse J, Wu KS, Xiao JH, Yu ZH, Ronald PC, Harrington SE, Secind G, McCouch SR and Tanksley SD 1994. Saturated molecular map of the rice genome based on an interspecific backcross population. Genetics 138:1251-1274
- Cho SY, Park RK, and Heu MH .1988. Breeding Strategies for the 21st Century. Proceedings of the Annual Symposium of the Korean Breeding Society. pp. 3-8
- Ge XJ, Xing YZ, Xu CG and He YQ (2005) QTL analysis of cooked rice grain elongation volume expansion, and water absorption using a recombinant inbred population. Plant Breeding 124:121-126 https://doi.org/10.1111/j.1439-0523.2004.01055.x
- Gur A and Zamir D. 2004. Unused natural variation can lift yield barriers in plant breeding. PLoS Biology 2(10):1610-1615 https://doi.org/10.1371/journal.pbio.0020245
-
Ju HG, Yoon DB, Xie XB, Ahn SN, Jeong OY, Jeong EG, and Choi KJ. 2004. Evaluation of agronomic traits of an Ilpumbyeo
${\times}$ Moroberekan$BC_3F_2$ population. Korean J. Breed. 36(5):338-344 - Ju HG, Kim DM, Kang JW, Kim MK, Kim YG and Ahn SN. 2008. Mapping QTLs for agronomic traits using an introgression line population from a cross between Ilpumbyeo and Moroberekan in rice. Korean J. Breeding Sci. 40:414-421
- Juliano BO. 1971. A simplified assay for milled rice amylose. Cereal Science Today 16:334-340
- Juliano BO. 1982. Properties of rice starch related to varietal differences in processing quality of rice grain. J. Jap. Soc. Starch Sci. 29:305-317 https://doi.org/10.5458/jag1972.29.305
- Kim DM, Ju HG, Kwon TR, Oh CS, and Ahn SN. 2009. Mapping quantitative trait loci related to salt tolerance in an introgression line population between japonica cultivars in rice. Submitted to Journal of Crop Sci. & Biotec https://doi.org/10.1007/s12892-009-0108-6
- Li ZF, Wan JM, Xia JF, Zhai HQ, and Ikehashi H. 2004. Identification of quantitative trait loci underlying milling qualty of rice grains. Plant breeding 123:229-234 https://doi.org/10.1111/j.1439-0523.2004.00977.x
- McCouch SR, Teyetlman L, Xu Y, Lobos KB, Clare K, Walton M, Fu B, Maghirang R, Li Z, Xing Y, Zhang Q, Kono I, Yano M, Fjellstrom R, DeClerck G, Scheider D, Cartinhour S, Ware D and Stein L. 2002. Development and mapping of 2240 new SSR markers for rice (Oryza sativa L.). DNA Res. 9:199-207 https://doi.org/10.1093/dnares/9.6.199
- Moncada P, Martines CP, Borrero J, Chatel H, Tohme J and McCouch SR. 2001. Quantitative trait loci yield and yield components in an Oryza sativa X Oryza rufipogon BC2F2 population evaluated in an upland environment. Theor. Appl. Genet. 102:41-52 https://doi.org/10.1007/s001220051616
- Nelson JC. 1997. Qgene manual. Electronic address: greengenes. Cit. cornell. Edu port 70; directory “Software for genetics /qGene.”
- Panaud O, Chen X, and McCouch SR. 1996. Development of microsatellite markers and characterization of simple sequence length polymorphism in rice (Oryza sativa). Mol. Gen. Genet. 252:597-607 https://doi.org/10.1007/BF02172406
- Septimingsih EM, Prasetiyono J, Lubis E, Tai TH, Tjubaryat T, Moeljopawiro S and McCouch SR. 2003. Identification of quantitative trait loci for yield and yield components in an advaced backcross population derived from the Oryza sativa variety IR64 and the wild relative O. rufipogon. Theor. Appl. Genet. 107:1419-1432 https://doi.org/10.1007/s00122-003-1373-2
- Tanksley SD. 1993. Mapping polygenes. Ann. Rev. Genet. 27:205-233 https://doi.org/10.1146/annurev.ge.27.120193.001225
- Temnykh S, De CLerck G, Lukashova A, Lipovitch L, Cartinhour S and McCouch SR. 2001. Computational and experimental analysis of microsatellite in rice (Oryza sativa L.): frequency length cariation, transposon associations, and genetic marker potential. Genome Res. 11:1441-1452 https://doi.org/10.1101/gr.184001
- Thomson MJ, Tai TH, Mcclung AM, Lai XH, Hinga ME, Lobos KB, Xu Y, Martinez CP, and McCouch SR. 2003. Mapping quantitative trait loci for yield, yield components and morphological traits in an advanced backcross population between Oryza rufipogon and the Oryza sativa cultivar Jefferson. Theor. Appl. Genet. 107:479-493 https://doi.org/10.1007/s00122-003-1270-8
- Tian R, Jiang GH, Shen LH, Wang LQ, and He YQ 2005a. Mapping quantitativa trait loci underlying the cooking and eating quality of rice using a DH population. Mol. Breeding 15:117-124 https://doi.org/10.1007/s11032-004-3270-z
- Tian F, Li DJ, Fu Q, Zhu Z, Fu YC, Wang XK, and Sun CQ. 2005b. 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
- Wada T, Ogata T, Tsubone M, Uchimura Y, and Matsue Y. 2008. Mapping of QTLs for eating quality and physicochemical properties of the japonica rice 'Koshihikari'. Breeding Sci. 58:427-435 https://doi.org/10.1270/jsbbs.58.427
- Xiao JH, Li JM, Grandillo S, Ahn SN, Yuan RP, Tanksley SD, and McCouch SR. 1998. Identification of trait-improving quantitative trait loci alleles from a wild rice relative, Oryza rufipogon. Genetics .150:899-909
- Yano M, and Sasaki T. 1997. Genetic and molecular dissection of quantitative trait in rice. Plant Mol. Biol. 4:130-135.30 https://doi.org/10.1023/A:1005764209331
- Yano M, Kojima S, Takahashi Y, Lin H and Sasaki T. 2001. Genetic control of flowering time in rice, a short-day plant. Plant Physiology 117:1425-1429
- Zheng TQ, Xu JL, Li ZK, Zhai HQ, and Wan JM. 2007. Genomic regions associated with millingquality and grain shape identified in set of random introgression lines of rice. Plant breeding 126:158-163 https://doi.org/10.1111/j.1439-0523.2007.01357.x