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Association analysis of physicochemical traits on eating quality in rice (Oryza sativa L.)

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Abstract

Improvement of rice eating quality is an important objective in current breeding programs. In this study, 130 rice accessions of diverse origin were genotyped using 170 SSR markers to identify marker–trait associations with physicochemical traits on eating quality. Analysis of population structure revealed four subgroups in the population. Linkage disequilibrium (LD) patterns and distributions are of fundamental importance for genome-wide mapping associations. The mean r 2 value for all intrachromosomal loci pairs was 0.0940. LD between linked markers decreased with distance. Marker–trait associations were investigated using the unified mixed-model approach, considering both population structure (Q) and kinship (K). In total, 101 marker–trait associations (p < 0.05) were identified using 52 different SSR markers covering 12 chromosomes. The results suggest that association mapping in rice is a viable alternative to quantitative trait loci mapping, and detection of new marker–trait associations associated with rice eating quality will also provide important information for marker-assisted breeding and functional analysis of rice grain quality.

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References

  • Abdurakhmonov IY, Abdukarimov A (2008) Application of association mapping to understanding the genetic diversity of plant germplasm resources. Int J Plant Genomics 2008:574927. doi:10.1155/2008/574927

    Article  PubMed  Google Scholar 

  • Abdurakhmonov IY, Kohel RJ, Yu JZ, Pepper AE, Abdullaev AA, Kushanov FN, Salakhutdinov IB, Buriev ZT, Saha S, Scheffler BE, Jenkins JN, Abdukarimov A (2008) Molecular diversity and association mapping of fiber quality traits in exotic G. hirsutum L. germplasm. Genomics 92(6):478–487. doi:10.1016/j.ygeno.2008.07.013

    Article  PubMed  CAS  Google Scholar 

  • Agrama HA, Eizenga GC (2008) Molecular diversity and genome-wide linkage disequilibrium patterns in a worldwide collection of Oryza sativa and its wild relatives. Euphytica 160(3):339–355. doi:10.1007/s10681-007-9535-y

    Article  CAS  Google Scholar 

  • Agrama HA, Eizenga GC, Yan W (2007) Association mapping of yield and its components in rice cultivars. Mol Breeding 19(4):341–356. doi:10.1007/s11032-006-9066-6

    Article  Google Scholar 

  • Amarawathi Y, Singh R, Singh A, Singh V, Mohapatra T, Sharma T, Singh N (2008) Mapping of quantitative trait loci for basmati quality traits in rice (Oryza sativa L.). Mol Breeding 21(1):49–65. doi:10.1007/s11032-007-9108-8

    Article  CAS  Google Scholar 

  • Aranzana MJ, Kim S, Zhao K, Bakker E, Horton M, Jakob K, Lister C, Molitor J, Shindo C, Tang C, Toomajian C, Traw B, Zheng H, Bergelson J, Dean C, Marjoram P, Nordborg M (2005) Genome-wide association mapping in Arabidopsis identifies previously known flowering time and pathogen resistance genes. PLoS Genet 1(5):e60. doi:10.1371/journal.pgen.0010060

    Article  PubMed  Google Scholar 

  • Bao JS, Xia YW (1999) Genetic control of paste viscosity characteristics in indica rice (Oryza sativa L.). Theor Appl Genet 98(6):1120–1124. doi:10.1007/s001220051175

    Article  Google Scholar 

  • Bao JS, Sun M, Corke H (2002) Analysis of the genetic behavior of some starch properties in indica rice (Oryza sativa L.): thermal properties, gel texture, swelling volume. Theor Appl Genet 104(2):408–413. doi:10.1007/s001220100688

    Article  PubMed  CAS  Google Scholar 

  • Bao JS, Corke H, Sun M (2006) Microsatellites, single nucleotide polymorphisms and a sequence tagged site in starch-synthesizing genes in relation to starch physicochemical properties in nonwaxy rice (Oryza sativa L.). Theor Appl Genet 113(7):1185–1196. doi:10.1007/s00122-006-0394-z

    Article  PubMed  CAS  Google Scholar 

  • Bao JS, Jin L, Xiao P, Shen SQ, Sun M, Corke H (2008) Starch physicochemical properties and their associations with microsatellite alleles of starch-synthesizing genes in a rice RIL population. J Agric Food Chem 56(5):1589–1594. doi:10.1021/jf073128+

    Article  PubMed  CAS  Google Scholar 

  • Breseghello F, Sorrells ME (2006) Association mapping of kernel size and milling quality in wheat (Triticum aestivum L.) cultivars. Genetics 172(2):1165–1177. doi:10.1534/genetics.105.044586

    Article  PubMed  Google Scholar 

  • Cagampang GB, Perez CM, Juliano BO (1973) A gel consistency test for eating quality of rice. J Sci Food Agr 24(12):1589–1594. doi:10.1002/jsfa.2740241214

    Article  CAS  Google Scholar 

  • Cardon LR, Bell JI (2001) Association study designs for complex diseases. Nat Rev Genet 2(2):91–99. doi:10.1038/35052543

    Article  PubMed  CAS  Google Scholar 

  • Cho YH, Lee SY, Kim SM, Yu JW, Lee JR, Hong HC, Kim JB, Ma KH, Kwon TR, Kang HK, Lee GA, Gwag JG, Kim TS, Park YJ (2008) Amylose, tocopherol, free sugar and fatty acid content in selected mutant lines of Oryza sativa cv. Shindongjin. J Crop Sci Biotechnol 11(3):83–90

    Google Scholar 

  • Churchill GA, Doerge RW (1994) Empirical threshold values for quantitative trait mapping. Genetics 138(3):963–971

    PubMed  CAS  Google Scholar 

  • Evanno G, Regnaut S, Goudet J (2005) Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol 14(8):2611–2620. doi:10.1111/j.1365-294X.2005.02553.x

    Article  PubMed  CAS  Google Scholar 

  • Excoffier L, Laval G, Schneider S (2005) Arlequin (version 3.0): an integrated software package for population genetics data analysis. Evol Bioinform Online 1:47–50

    CAS  Google Scholar 

  • Falush D, Stephens M, Pritchard JK (2003) Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. Genetics 164(4):1567–1587

    PubMed  CAS  Google Scholar 

  • Fan CC, Yu XQ, Xing YZ, Xu CG, Luo LJ, Zhang QF (2005) The main effects, epistatic effects and environmental interactions of QTLs on the cooking and eating quality of rice in a doubled-haploid line population. Theor Appl Genet 110(8):1445–1452. doi:10.1007/s00122-005-1975-y

    Article  PubMed  CAS  Google Scholar 

  • Farnir F, Coppieters W, Arranz JJ, Berzi P, Cambisano N, Grisart B, Karim L, Marcq F, Moreau L, Mni M, Nezer C, Simon P, Vanmanshoven P, Wagenaar D, Georges M (2000) Extensive genome-wide linkage disequilibrium in cattle. Genome Res 10(2):220–227. doi:10.1101/gr.10.2.220

    Article  PubMed  CAS  Google Scholar 

  • Flint-Garcia SA, Thornsberry JM, Buckler ES IV (2003) Structure of linkage disequilibrium in plants. Annu Rev Plant Biol 54(1):357–374. doi:10.1146/annurev.arplant.54.031902.134907

    Article  PubMed  CAS  Google Scholar 

  • Garris AJ, McCouch SR, Kresovich S (2003) Population structure and its effect on haplotype diversity and linkage disequilibrium surrounding the xa5 locus of rice (Oryza sativa L.). Genetics 165(2):759–769

    PubMed  Google Scholar 

  • Gaut BS, Long AD (2003) The lowdown on linkage disequilibrium. Plant Cell 15(7):1502–1506. doi:10.1105/tpc.150730

    Article  PubMed  CAS  Google Scholar 

  • Gupta PK, Rustgi S, Kulwal PL (2005) Linkage disequilibrium and association studies in higher plants: present status and future prospects. Plant Mol Biol 57(4):461–485. doi:10.1007/s11103-005-0257-z

    Article  PubMed  CAS  Google Scholar 

  • Hanashiro I, Abe J, Hizukuri S (1996) A periodic distribution of the chain length of amylopectin as revealed by high performance anion-exchange chromatography. Carbohydr Res 283:151–159

    Article  CAS  Google Scholar 

  • Hansen M, Kraft T, Ganestam S, Säll T, Nilsson NO (2001) Linkage disequilibrium mapping of the bolting gene in sea beet using AFLP markers. Genet Res 77(1):61–66. doi:10.1017/S0016672300004857

    Article  PubMed  CAS  Google Scholar 

  • Hardy OJ, Vekemans X (2002) SPAGeDi: a versatile computer program to analyse spatial genetic structure at the individual or population levels. Mol Ecol Notes 2(4):618–620. doi:10.1046/j.1471-8286.2002.00305.x

    Article  Google Scholar 

  • Hasan M, Friedt W, Pons-Kühnemann J, Freitag NM, Link K, Snowdon RJ (2008) Association of gene-linked SSR markers to seed glucosinolate content in oilseed rape (Brassica napus ssp. napus). Theor Appl Genet 116(8):1035–1049. doi:10.1007/s00122-008-0733-3

    Article  PubMed  CAS  Google Scholar 

  • He P, Li SG, Qian Q, Ma YQ, Li JZ, Wang WM, Chen Y, Zhu LH (1999) Genetic analysis of rice grain quality. Theor Appl Genet 98(3):502–508. doi:10.1007/s001220051098

    Article  CAS  Google Scholar 

  • Huang FS, Sun ZX, Hu PS, Tang SQ (1998) Present situations and prospects for the research on rice grain quality forming. Chin J Rice Sci 12(3):172–176

    Google Scholar 

  • Jantaboona J, Siangliwa M, Im-markb S, Jamboonsria W, Vanavichitc A, Toojindaa T (2011) Ideotype breeding for submergence tolerance and cooking quality by marker-assisted selection in rice. Field Crop Res 123:206–213. doi:10.1016/j.fcr.2011.05.001

    Article  Google Scholar 

  • Jin L, Lu Y, Shao YF, Zhang G, Xiao P, Shen SQ, Corke H, Bao JS (2010) Molecular marker assisted selection for improvement of the eating, cooking and sensory quality of rice (Oryza sativa L.). J Cereal Sci 51:159–164. doi:10.1016/j.jcs.2009.11.007

    Article  CAS  Google Scholar 

  • Juliano BO (1971) A simplified assay for milled-rice amylose. Cereal Sci Today 16:334–338

    Google Scholar 

  • Juliano BO (1985) Criteria and test for rice grain quality. In: Juliano BO (ed) Rice chemistry and technology. American Association of Cereal Chemists, Saint Paul, pp 443–513

    Google Scholar 

  • Jun TH, Van K, Kim MY, Lee SH, Walker DR (2008) Association analysis using SSR markers to find QTL for seed protein content in soybean. Euphytica 162(2):179–191. doi:10.1007/s10681-007-9491-6

    Article  CAS  Google Scholar 

  • Kang HJ, Hwang IK, Kim KS, Choi HC (2003) Comparative structure and physicochemical properties of Ilpumbyeo, a high-quality japonica rice, and its mutant, Suweon 464. J Agric Food Chem 51(22):6598–6603. doi:10.1021/jf0344946

    Article  PubMed  CAS  Google Scholar 

  • Kim KW, Chung HK, Cho GT, Ma KH, Chandrabalan D, Gwag JG, Kim TS, Cho EG, Park YJ (2007) PowerCore: a program applying the advanced M strategy with a heuristic search for establishing core sets. Bioinformatics 23(16):2155–2162. doi:10.1093/bioinformatics/btm313

    Article  PubMed  CAS  Google Scholar 

  • Koyama ML, Levesley A, Koebner RMD, Flowers TJ, Yeo AR (2001) Quantitative trait loci for component physiological traits determining salt tolerance in rice. Plant Physiol 125(1):406–422. doi:10.1104/pp.125.1.406

    Article  PubMed  CAS  Google Scholar 

  • Kraakman ATW, Niks RE, Van den Berg PMMM, Stam P, Van Eeuwijk FA (2004) Linkage disequilibrium mapping of yield and yield stability in modern spring barley cultivars. Genetics 168(1):435–446. doi:10.1534/genetics.104.026831

    Article  PubMed  CAS  Google Scholar 

  • Kraakman ATW, Martínez F, Mussiraliev B, van Eeuwijk FA, Niks RE (2006) Linkage disequilibrium mapping of morphological, resistance, and other agronomically relevant traits in modern spring barley cultivars. Mol Breeding 17(1):41–58. doi:10.1007/s11032-005-1119-8

    Article  CAS  Google Scholar 

  • Lanceras JC, Huang ZL, Naivikul O, Vanavichit A, Ruanjaichon V, Tragoonrung S (2000) Mapping of genes for cooking and eating qualities in Thai jasmine rice (KDML105). DNA Res 7(2):93–101. doi:10.1093/dnares/7.2.93

    Article  PubMed  CAS  Google Scholar 

  • Larkin PD, McClung AM, Ayres NM, Park WD (2003) The effect of the Waxy locus (granule bound starch synthase) on pasting curve characteristics in specialty rices (Oryza sativa L.). Euphytica 131(2):243–253. doi:10.1023/a:1023962406605

    Article  CAS  Google Scholar 

  • Lestari PJ, Ham TH, Lee HH, Woo MO, Jiang WZ, Chu SH, Kwon SW, Ma KH, Lee JH, Cho YC, Koh HJ (2009) PCR marker-based evaluation of the eating quality of japonica rice (Oryza sativa L.). J Agric Food Chem 57(7):2754–2762. doi:10.1021/jf803804k

    Article  PubMed  CAS  Google Scholar 

  • Li J, Xiao JH, Grandillo S, Jiang LY, Wan YZ, Deng QY, Yuan LP, McCouch SR (2004) 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 47(4):697–704. doi:10.1139/g04-029

    Article  PubMed  CAS  Google Scholar 

  • Little RR, Hilder GB, Dawson EH (1958) Differential effect of dilute alkali on 25 varieties of milled white rice. Cereal Chem 35:111–126

    CAS  Google Scholar 

  • Liu KJ, Muse SV (2005) PowerMarker: an integrated analysis environment for genetic marker analysis. Bioinformatics 21(9):2128–2129. doi:10.1093/bioinformatics/bti282

    Article  PubMed  CAS  Google Scholar 

  • Malysheva-Otto LV, Ganal MW, Roder MS (2006) Analysis of molecular diversity, population structure and linkage disequilibrium in a worldwide survey of cultivated barley germplasm (Hordeum vulgare L.). BMC Genet 7(1):6. doi:10.1186/1471-2156-7-6

    Article  PubMed  Google Scholar 

  • Mather DE, Hyes PM, Chalmers KJ, Eglinton J, Matus I, Richardson K, Von Zitzewitz J, Marquez-Cedillo L, Hearnden P, Pal N (2004) Use of SSR marker data to study linkage disequilibrium and population structure in Hordeum vulgare: prospects for association mapping in barley. In: International barley genetics symposium. Brno, Czech Republic, pp 302–307

  • Mather KA, Caicedo AL, Polato NR, Olsen KM, McCouch S, Purugganan MD (2007) The extent of linkage disequilibrium in rice (Oryza sativa L.). Genetics 177(4):2223–2232. doi:10.1534/genetics.107.079616

    Article  PubMed  CAS  Google Scholar 

  • Nagamine T, Komae K (1996) Improvement of a method for chain-length distribution analysis of wheat amylopectin. J Chromatogr A 732:255–259

    Article  CAS  Google Scholar 

  • Nakamura Y, Kubo A, Shimamune T, Matsuda T, Harada K, Satoh H (1997) Correlation between activities of starch debranching enzyme and α-polyglucan structure in endosperms of sugary-1 mutants of rice. Plant J 12(1):143–153. doi:10.1046/j.1365-313X.1997.12010143.x

    Article  CAS  Google Scholar 

  • Nordborg M, Borevitz JO, Bergelson J, Berry CC, Chory J, Hagenblad J, Kreitman M, Maloof JN, Noyes T, Oefner PJ, Stahl EA, Weigel D (2002) The extent of linkage disequilibrium in Arabidopsis thaliana. Nat Genet 30(2):190–193. doi:10.1038/ng813

    Article  PubMed  CAS  Google Scholar 

  • Pritchard JK, Stephens M, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics 155(2):945–959

    PubMed  CAS  Google Scholar 

  • Rakshit S, Rakshit A, Matsumura H, Takahashi Y, Hasegawa Y, Ito A, Ishii T, Miyashita N, Terauchi R (2007) Large-scale DNA polymorphism study of Oryza sativa and O. rufipogon reveals the origin and divergence of Asian rice. Theor Appl Genet 114(4):731–743. doi:10.1007/s00122-006-0473-1

    Article  PubMed  CAS  Google Scholar 

  • Remington DL, Thornsberry JM, Matsuoka Y, Wilson LM, Whitt SR, Doebley J, Kresovich S, Goodman MM, Buckler ES (2001) Structure of linkage disequilibrium and phenotypic associations in the maize genome. PNAS USA 98(20):11479–11484. doi:10.1073/pnas.201394398

    Article  PubMed  CAS  Google Scholar 

  • Risch NJ (2000) Searching for genetic determinants in the new millennium. Nature 405(6788):847–856. doi:10.1038/35015718

    Article  PubMed  CAS  Google Scholar 

  • Ross-Ibarra J, Morrell PL, Gaut BS (2007) Plant domestication, a unique opportunity to identify the genetic basis of adaptation. PNAS USA 104(Suppl 1):8641–8648. doi:10.1073/pnas.0700643104

    Article  PubMed  CAS  Google Scholar 

  • Roy JK, Bandopadhyay R, Rustgi S, Balyan HS, Gupta PK (2006) Association analysis of agronomically important traits using SSR, SAMPL and AFLP markers in bread wheat. Curr Sci 90(5):683–689

    CAS  Google Scholar 

  • Schuelke M (2000) An economic method for the fluorescent labeling of PCR fragments. Nat Biotechnol 18(2):233–234. doi:10.1038/72708

    Article  PubMed  CAS  Google Scholar 

  • Stella A, Boettcher PJ (2004) Optimal designs for linkage disequilibrium mapping and candidate gene association tests in livestock populations. Genetics 166(1):341–350. doi:10.1534/genetics.166.1.341

    Article  PubMed  CAS  Google Scholar 

  • Stich B, Melchinger AE, Frisch M, Maurer HP, Heckenberger M, Reif JC (2005) Linkage disequilibrium in European elite maize germplasm investigated with SSRs. Theor Appl Genet 111(4):723–730. doi:10.1007/s00122-005-2057-x

    Article  PubMed  Google Scholar 

  • Stich B, Maurer HP, Melchinger AE, Frisch M, Heckenberger M, van der Voort JR, Peleman J, Sørensen AP, Reif JC (2006) Comparison of linkage disequilibrium in elite European maize inbred lines using AFLP and SSR markers. Mol Breeding 17(3):217–226. doi:10.1007/s11032-005-5296-2

    Article  CAS  Google Scholar 

  • Sun SY, Hao W, Lin HX (2006) Identification of QTLs for cooking and eating quality of rice grain. Rice Sci 13(3):161–169

    Google Scholar 

  • Tamura K, Dudley J, Nei M, Kumar S (2007) MEGA4: molecular evolutionary genetics analysis (MEGA) software version 4.0. Mol Biol Evol 24(8):1596–1599. doi:10.1093/molbev/msm092

    Article  PubMed  CAS  Google Scholar 

  • Tan YF, Li JX, Yu SB, Xing YZ, Xu CG, Zhang QF (1999) The three important traits for cooking and eating quality of rice grains are controlled by a single locus in an elite rice hybrid, Shanyou 63. Theor Appl Genet 99(3):642–648. doi:10.1007/s001220051279

    Article  PubMed  CAS  Google Scholar 

  • Thornsberry JM, Goodman MM, Doebley J, Kresovich S, Nielsen D, Buckler ES (2001) Dwarf8 polymorphisms associate with variation in flowering time. Nat Genet 28(3):286–289. doi:10.1038/90135

    Article  PubMed  CAS  Google Scholar 

  • Tommasini L, Schnurbusch T, Fossati D, Mascher F, Keller B (2007) Association mapping of Stagonospora nodorum blotch resistance in modern European winter wheat varieties. Theor Appl Genet 115(5):697–708. doi:10.1007/s00122-007-0601-6

    Article  PubMed  CAS  Google Scholar 

  • Umemoto T, Yano M, Satoh H, Shomura A, Nakamura Y (2002) Mapping of a gene responsible for the difference in amylopectin structure between japonica-type and indica-type rice varieties. Theor Appl Genet 104(1):1–8. doi:10.1007/s001220200000

    Article  PubMed  CAS  Google Scholar 

  • Voorrips RE (2002) MapChart: software for the graphical presentation of linkage maps and QTLs. J Hered 93(1):77–78. doi:10.1093/jhered/93.1.77

    Article  PubMed  CAS  Google Scholar 

  • Wada T, Uchimura Y, Ogata T, Tsubone M, Matsue Y (2006) Mapping of QTLs for physicochemical properties in japonica rice. Breeding Sci 56(3):253–260. doi:10.1270/jsbbs.56.253

    Article  CAS  Google Scholar 

  • Wan XY, Wan JM, Su CC, Wang CM, Shen WB, Li JM, Wang HL, Jiang L, Liu SJ, Chen LM, Yasui H, Yoshimura A (2004) QTL detection for eating quality of cooked rice in a population of chromosome segment substitution lines. Theor Appl Genet 110(1):71–79. doi:10.1007/s00122-004-1744-3

    Article  PubMed  CAS  Google Scholar 

  • Whitt SR, Buckler ES (2003) Using natural allelic diversity to evaluate gene function. In: Grotewald E (ed) Plant functional genomics: methods and protocols. Humana Press, New York, pp 123–140

    Chapter  Google Scholar 

  • Yu JM, Pressoir G, Briggs WH, Vroh Bi I, Yamasaki M, Doebley JF, McMullen MD, Gaut BS, Nielsen DM, Holland JB, Kresovich S, Buckler ES (2006) A unified mixed-model method for association mapping that accounts for multiple levels of relatedness. Nat Genet 38(2):203–208. doi:10.1038/ng1702

    Article  PubMed  CAS  Google Scholar 

  • Yuan PR, Kim HJ, Chen QH, Ju HG, Ji SD, Ahn SN (2010) Mapping QTLs for grain quality using an introgression line population from a cross between Oryza sativa and O. rufipogon. J Crop Sci Biotechnol 13:205–212. doi:10.1007/s12892-010-0094-8

    Article  Google Scholar 

  • Zhao JJ, Wang XW, Deng B, Lou P, Wu J, Sun RF, Xu ZY, Vromans J, Koornneef M, Bonnema G (2005) Genetic relationships within Brassica rapa as inferred from AFLP fingerprints. Theor Appl Genet 110(7):1301–1314. doi:10.1007/s00122-005-1967-y

    Article  PubMed  Google Scholar 

  • Zondervan KT, Cardon LR (2004) The complex interplay among factors that influence allelic association. Nat Rev Genet 5(2):89–100. doi:10.1038/nrg1270

    Article  PubMed  CAS  Google Scholar 

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Acknowledgments

This study was supported by a grant from the BioGreen 21 Program (No. PJ009099), Rural Development Administration, Republic of Korea.

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Authors and Affiliations

  1. Department of Plant Resources, College of Industrial Science, Kongju National University, Yesan, 340-702, Republic of Korea

    Wei-Guo Zhao, Soon-Wook Kwon & Yong-Jin Park

  2. Sericultural Research Institute, Chinese Academy of Agricultural Sciences, Jiangsu University of Science and Technology, Zhenjiang, 212018, People’s Republic of China

    Wei-Guo Zhao

  3. National Agrobiodiversity Center, National Academy of Agricultural Science, Rural Development Administration, Suwon, 441-110, Republic of Korea

    Jong-Wook Chung & Kyung-Ho Ma

  4. Legume Bio-Resource Center of Green Manure, Kongju National University, Yesan, 340-702, Republic of Korea

    Soon-Wook Kwon & Yong-Jin Park

  5. National Institute of Crop Science, Rural Development Administration, Suwon, 441-857, Republic of Korea

    Jeong-Heui Lee

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10681_2012_820_MOESM4_ESM.tif

Supplementary material 4 Model-based ancestry for each of the 130 rice accessions examined based on the 170 SSR markers used to build the Q matrix. The accession numbers correspond to those listed on supplemental Table 1 (TIFF 1883 kb)

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Zhao, WG., Chung, JW., Kwon, SW. et al. Association analysis of physicochemical traits on eating quality in rice (Oryza sativa L.). Euphytica 191, 9–21 (2013). https://doi.org/10.1007/s10681-012-0820-z

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