Skip to main content

Genetic analysis and characterization of a new maize association mapping panel for quantitative trait loci dissection

Theoretical and Applied Genetics volume 121, pages 417–431 (2010)Cite this article

Abstract

Association mapping based on the linkage disequilibrium provides a promising tool to identify genes responsible for quantitative variations underlying complex traits. Presented here is a maize association mapping panel consisting of 155 inbred lines with mainly temperate germplasm, which was phenotyped for 34 traits and genotyped using 82 SSRs and 1,536 SNPs. Abundant phenotypic and genetic diversities were observed within the panel based on the phenotypic and genotypic analysis. A model-based analysis using 82 SSRs assigned all inbred lines to two groups with eight subgroups. The relative kinship matrix was calculated using 884 SNPs with minor allele frequency ≥20% indicating that no or weak relationships were identified for most individual pairs. Three traits (total tocopherol content in maize kernel, plant height and kernel length) and 1,414 SNPs with missing data <20% were used to evaluate the performance of four models for association mapping analysis. For all traits, the model controlling relative kinship (K) performed better than the model controlling population structure (Q), and similarly to the model controlling both population structure and relative kinship (Q + K) in this panel. Our results suggest this maize panel can be used for association mapping analysis targeting multiple agronomic and quality traits with optimal association model.

This is a preview of subscription content, access via your institution.

Access options

Buy single article

Instant access to the full article PDF.

USD 39.95

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

References

  • Andersen JR, Lübberstedt T (2003) Functional markers in plants. Trends Plant Sci 8:554–560

    Article  PubMed  CAS  Google Scholar 

  • Andersen JR, Schrag T, Melchinger AE, Zein I, Lübberstedt T (2005) Validation of Dwarf8 polymorphisms associated with flowering time in elite European inbred lines of maize (Zea mays L.). Theor Appl Genet 111:206–217

    Article  PubMed  CAS  Google Scholar 

  • Andersen JR, Zein I, Wenzel G, Darnhofer B, Eder J, Ouzunova M, Lübberstedt T (2008) Characterization of phenylpropanoid pathway genes within European maize (Zea mays L.) inbreds. BMC Plant Bio 8:2

    Article  CAS  Google Scholar 

  • Beisson F, Koo AJK, Ruuska S, Schwender J, Pollard M, Thelen JJ, Paddock T, Salas JJ, Savage L, Milcamps A, Mhaske VB, Cho Y, Ohlrogge JB (2003) Arabidopsis genes involved in acyl lipid metabolism 2003. A census of the candidates, a study of the distribution of expressed sequence tags in organs, and a web-based database. Plant Physiol 132:681–697

    Article  PubMed  CAS  Google Scholar 

  • Belo A, Zheng P, Luck S, Shen B, Meyer DJ, Li B, Tingey S, Rafalski A (2008) Whole genome scan detects an allelic variant of fad2 associated with increased oleic acid levels in maize. Mol Genet Genomics 279:1–10

    Article  PubMed  CAS  Google Scholar 

  • Bradbury PJ, Zhang ZW, Kroon DE, Casstevens RM, Ramdoss Y, Buckler ES (2007) TASSEL: software for association mapping of complex traits in diverse samples. Bioinformatics 23(19):2633–2635

    Article  PubMed  CAS  Google Scholar 

  • Breseghello F, Sorrells ME (2006) Association analysis as a strategy for improvement of quantitative traits in plants. Crop Sci 46:1323–1330

    Article  Google Scholar 

  • Buckler ES, Gore M (2007) An Arabidopsis haplotype map takes root. Nat Genet 39:1056–1057

    Article  PubMed  CAS  Google Scholar 

  • Buckler ES, Stevens NM (2005) Maize origins, domestication, and selection. In: Motley TJ, Zerega N, Cross H (eds) Darwin’s harvest. Columbia University Press, New York, pp 67–90

    Google Scholar 

  • Buckler ES, Holland JB, Bradbury PJ, Acharya CB, Brown PJ, Browne C, Ersoz E, Flint-Garcia S, Garcia A, Glaubitz JC, Goodman MM, Harjes C, Guill K, Kroon DE, Larsson S, Lepak NK, Li HH, Mitchell SE, Pressoir G, Peiffer JA, Rosas MO, Rocheford TR, Romay MC, Romero S, Salvo S, Villeda HS, da Silva HS, Sun Q, Tian F, Upadyayula N, Ware D, Yates H, Yu JM, Zhang ZW, Kresovich S, McMullen MD (2009) The genetic architecture of maize flowering time. Science 325:714–718

    Article  PubMed  CAS  Google Scholar 

  • Camus-Kulandaivelu L, Veyrieras JB, Madur D, Combes V, Fourmann M, Barraud S, Dubreuil P, Gouesnard B, Manicacci D, Charcosset A (2006) Maize adaptation to temperate climate: relationship between population structure and polymorphism in the Dwarf8 gene. Genetics 172:2449–2463

    Article  PubMed  CAS  Google Scholar 

  • Casa AM, Pressoir G, Brown PJ, Mitchell SE, Rooney WL, Tuinstra MR, Franks CD, Kresovich S (2008) Community resources and strategies for association mapping in Sorghum. Crop Sci 48:30–40

    Article  Google Scholar 

  • Chander S, Guo YQ, Yang XH, Zhang J, Lu XQ, Yan JB, Song TM, Rocheford TR, Li JS (2008a) Using molecular markers to identify two major loci controlling carotenoid contents in maize grain. Theor Appl Genet 116:223–233

    Article  PubMed  CAS  Google Scholar 

  • Chander S, Guo YQ, Yang XH, Yan JB, Zhang YR, Song TM, Li JS (2008b) Genetic dissection of tocopherol content and composition in maize grain using quantitative trait loci analysis and the candidate gene approach. Mol Breed 22:353–365

    Article  CAS  Google Scholar 

  • Clerc VL, Bazante F, Baril C, Guiard J, Zhang D (2005) Assessing temporal changes in genetic diversity of maize varieties using microsatellite markers. Theor Appl Genet 110:294–302

    Article  PubMed  CAS  Google Scholar 

  • DellaPenna D, Last RL (2006) Progress in the dissection and manipulation of plant vitamin E biosynthesis. Physiol Plant 126:356–368

    Article  CAS  Google Scholar 

  • DellaPenna D, Pogson BJ (2006) Vitamin synthesis in plants: tocopherols and carotenoids. Annu Rev Plant Biol 57:711–738

    Article  PubMed  CAS  Google Scholar 

  • Devlin B, Roeder K (1999) Genomic control for association studies. Biometrics 55:997–1004

    Article  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 14:2611–2620

    Article  PubMed  CAS  Google Scholar 

  • Excoffier L, Smouse PE, Quattro JM (1992) Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data. Genetics 131:479–491

    PubMed  CAS  Google Scholar 

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

    PubMed  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 164:1567–1587

    PubMed  CAS  Google Scholar 

  • Fan JB, Gunderson KL, Bibikova M, Yeakley JM, Chen J, Garcia EW, Lebruska LL, Laurent M, Shen R, Barker D (2006) Illumina universal bead arrays. Methods Enzymol 410:57–73

    Article  PubMed  CAS  Google Scholar 

  • Flint-Garcia SA, Thornsberry JM, Buckler ES (2003) Structure of linkage disequilibrium in plants. Annu Rev Plant Biol 54:357–374

    Article  PubMed  CAS  Google Scholar 

  • Flint-Garcia SA, Thuillet AC, Yu JM, Pressoir G, Romero SM, Mitchell SE, Doebley J, Kresovich S, Goodman MM, Buckler ES (2005) Maize association population: a high-resolution platform for quantitative trait locus dissection. Plant J 44:1054–1064

    Article  PubMed  CAS  Google Scholar 

  • Hamblin MT, Warburton ML, Buckler ES (2007) Empirical comparison of simple sequence repeats and single nucleotide polymorphisms in assessment of maize diversity and relatedness. PLoS ONE 12:e1367

    Article  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 2:618–620

    Article  CAS  Google Scholar 

  • Harjes CE, Rocheford TR, Bai L, Brutnell TP, Kandianis CB, Sowinski SG, Stapleton AE, Vallabhaneni R, Williams M, Wurtzel ET, Yan JB, Buckler ES (2008) Natural genetic variation in lycopene epsilon cyclase tapped for maize biofortification. Science 319:330–333

    Article  PubMed  CAS  Google Scholar 

  • Holland JB, Nyquist WE, Cervantes-Martínez CT (2003) Estimating and interpreting heritability for plant breeding: an update. Plant Breed Rev 22:9–111

    Google Scholar 

  • Jakobsson M, Rosenberg NA (2007) CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure. Bioinformatics 21:1801–1806

    Article  CAS  Google Scholar 

  • Kalinowski ST (2005) HP-RARE 1.0: a computer program for performing rarefaction on measures of allelic richness. Mol Ecol Notes 5:187–189

    Article  CAS  Google Scholar 

  • Labate JA, Lamkey KR, Mitchell SE, Kresovich S, Sullivan H, Smith JSC (2003) Molecular and historical aspects of corn belt dent diversity. Crop Sci 43:80–91

    Google Scholar 

  • Lambert RJ (2001) High-oil corn hybrids. In: Hallau AR (ed) Special corn. E. CRC Press Inc, Boca Raton, pp 131–153

    Google Scholar 

  • Li Q, Yang XH, Bai GH, Warburton ML, Mahuku G, Gore M, Dai JR, Li JS, Yan JB (2010) Cloning and characterization of a putative GS3 ortholog involved in maize kernel development. Theor Appl Genet 120:753–763

    Article  PubMed  CAS  Google Scholar 

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

    Article  PubMed  CAS  Google Scholar 

  • Liu KJ, Goodman M, Muse S, Smith JS, Buckler ES, Doebley J (2003) Genetic structure and diversity among maize inbred lines as inferred from DNA microsatellites. Genetics 165:2117–2128

    PubMed  CAS  Google Scholar 

  • Liu N, Chen L, Wang S, Oh C, Zhao H (2005) Comparison of single nucleotide polymorphisms and microsatellites in inference of population structure. BMC Genet 6(Suppl 1):S26

    Article  PubMed  CAS  Google Scholar 

  • Lu H, Bernardo R (2001) Molecular diversity among current and historical maize inbreds. Theor Appl Genet 103:613–617

    Article  CAS  Google Scholar 

  • Maccaferri M, Sanguineti MC, Natoli V, Ortega JLA, Salem MB, Bort J, Chenenaoui C, Ambrogio DE, Moral LGD, Montis AD, El-Ahmed A, Maalouf F, Machlab H, Moragues M, Motawaj J, Nachit M, Nserallah N, Ouabbou H, Royo C, Tuberosa R (2006) A panel of elite accessions of durum wheat (Triticum durum Desf.) suitable for association mapping studies. Plant Genet Resour 4:79–85

    Article  CAS  Google Scholar 

  • Malosetti M, van der Linden CG, Vosman B, van Eeuwijk FA (2007) A mixed-model approach to association mapping using pedigree information with an illustration of resistance to phytophthora infestans in potato. Genetics 175:879–889

    Article  PubMed  CAS  Google Scholar 

  • Matsuoka Y, Mitchell SE, Kresovich S, Goodman M, Doebley J (2002) Microsatellites in Zea—variability, patterns of mutations, and use for evolutionary studies. Theor Appl Genet 104:436–450

    Article  PubMed  CAS  Google Scholar 

  • Matthews PD, Wurtzel ET (2007) In: Socaciu C (ed) Biotechnology of food colorant production in food colorants: chemical and functional properties. CRC Press, Boca Raton, pp 347–398

  • McMullen MD, Kresovich S, Villeda HS, Bradbury P, Li HH, Sun Q, Flint-Garcia S, Thornsberry J, Acharya C, Bottoms C, Brown P, Browne C, Eller M, Guill K, Harjes C, Kroon D, Lepak N, Mitchell SE, Peterson B, Pressoir G, Romero S, Rosas MO, Salvo S, Yates H, Hanson M, Jones E, Smith S, Glaubitz JC, Goodman M, Ware D, Holland JB, Buckler ES (2009) Genetic properties of the maize nested association mapping population. Science 325:737–740

    Article  PubMed  CAS  Google Scholar 

  • Murray SC, Rooney WL, Hamblin MT, Mitchell SE, Kresovich S (2009) Sweet sorghum genetic diversity and association mapping for brix and height. Plant Genome 2:48–62

    Article  CAS  Google Scholar 

  • Murry MG, Thompson WF (1980) Rapid isolation of high molecular weight plant DNA. Nucleic Acids Res 8:4321–4325

    Article  Google Scholar 

  • Myles S, Peiffer J, Brown PJ, Ersoz ES, Zhang ZW, Costich DE, Buckler ED (2009) Association mapping: critical considerations shift from genotyping to experimental design. Plant Cell (www.plantcell.org/cgi/doi/10.1105/tpc.109.068437)

  • Nei M (1972) Genetic distance between populations. Am Nat 106:283–292

    Article  Google Scholar 

  • Pecetti L, Annicchiarico P, Damania AB (1992) Biodiversity in a germplasm collection of durum wheat. Euphytica 60:229–238

    Google Scholar 

  • Poole RW (1974) An introduction to quantitative ecology. McGraw-Hill, NY, p 532

    Google Scholar 

  • Pressoir G, Brown PJ, Zhu WY, Upadyayula N, Rocheford T, Buckler ES, Kresovich S (2009) Natural variation in maize architecture is mediated by allelic differences at the PINOID co-ortholog barren inflorescence2. Plant J 58:618–628

    Article  PubMed  CAS  Google Scholar 

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

    PubMed  CAS  Google Scholar 

  • Pritchard JK, Stephens M, Rosenberg NA, Donnelly P (2000b) Association mapping in structured populations. Am J Hum Genet 67:170–181

    Article  PubMed  CAS  Google Scholar 

  • Purcell S, Cherny SS, Sham PC (2003) Genetic power calculator: design of linkage and association genetic mapping studies of complex traits. Bioinformatics 19:149–150

    Article  PubMed  CAS  Google Scholar 

  • Reif JC, Hamrit S, Heckenberger M, Schipprack W, Maurer HP, Bohn M, Melchinger AE (2005) Genetic structure and diversity of European flint maize populations determined with SSR analyses of individuals and bulks. Theor Appl Genet 111:906–913

    Article  PubMed  CAS  Google Scholar 

  • Reif JC, Warburton ML, Xia XC, Hoisington DA, Crossa J, Taba S, Muminovic J, Bohn M, Frisch M, Melchinger AE (2006) Grouping of accessions of Mexican races of maize revisited with SSR markers. Theor Appl Genet 113:177–185

    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. Proc Natl Acad Sci USA 98:11479–11484

    Article  PubMed  CAS  Google Scholar 

  • Rosenberg NA (2004) DISTRUCT: a program for the graphical display of population structure. Mol Ecol Notes 4:137–138

    Article  Google Scholar 

  • Rosenberg NA, Li LM, Ward R, Pritchard JK (2003) Informativeness of genetic markers for inference of ancestry. Am J Hum Genet 73:1402–1422

    Article  PubMed  CAS  Google Scholar 

  • Salvi S, Sponza G, Morgante M, Tomes D, Niu XM, Fengler KA, Meeley R, Ananiev EV, Svitashev S, Bruggemann E, Li BL, Hainey CF, Radovic S, Zaina G, Rafalski JA, Tingey SV, Miao GH, Phillips RL, Tuberosa R (2007) Conserved non-coding genomic sequences associated with a flowering-time quantitative trait locus in maize. Proc Natl Acad Sci USA 104:11376–11381

    Article  PubMed  CAS  Google Scholar 

  • Senior ML, Murphy JP, Goodman MM, Stuber CW (1998) Utility of SSRs for determining genetic similarities an relationships in maize using an agarose gel system. Crop Sci 38:1088–1098

    Article  Google Scholar 

  • Smith JSC, Chin ECL, Shu H, Smith S, Wall SJ, Senior ML, Mitchell SE, Kresovich S, Ziegle J (1997) An evaluation of the utility of SSR loci as molecular markers in maize (Zea mays L.): comparisons with data from RFLPS and pedigree. Theor Appl Genet 95:163–173

    Article  CAS  Google Scholar 

  • Song TM, Chen SJ (2004) Long term selection for oil concentration in five maize populations. Maydica 49:9–14

    Google Scholar 

  • Szalma SJ, Buckler ES, Snook ME, McMullen MD (2005) Association analysis of candidate genes for maysin and chlorogenic acid accumulation in maize silks. Theor Appl Genet 110:1324–1333

    Article  PubMed  CAS  Google Scholar 

  • Taramino G, Tingey S (1996) Simple sequence repeats for germplasm analysis and mapping in maize. Genome 39:277–287

    Article  PubMed  CAS  Google Scholar 

  • Tenaillon MI, Sawkins MC, Long AD, Gaut RL, Doebley JF, Gaut BS (2001) Patterns of DNA sequence polymorphism along chromosome 1 of maize (Zea mays ssp. mays L.). Proc Natl Acad Sci USA 98:9161–9916

    Article  PubMed  CAS  Google Scholar 

  • Teng WT, Can JS, Chen YH, Liu XH, Jing XQ, Zhang FJ, Li JS (2004) Analysis of maize heterotic groups and patterns during past decade in China. Sci Agric Sin 37:1804–1811

    Google Scholar 

  • Thelen JJ, Ohlrogge JB (2002) Metabolic engineering of fatty acid biosynthesis in plants. Metab Eng 4:12–21

    Article  PubMed  CAS  Google Scholar 

  • Thornsberry JM, GoodmanM M, Doebley J, Kresovich S, Nielsen D, Buckler ES (2001) Dwarf8 polymorphisms associated with variation in flowering time. Nat Genet 28:286–289

    Article  PubMed  CAS  Google Scholar 

  • Vigouroux Y, Jaqueth JS, Matsuoka Y, Smith OS, Beavis WD, Smith JSC, Doebley J (2002) Rate and pattern of mutation at microsatellite loci in maize. Mol Biol Evol 19:1251–1260

    PubMed  CAS  Google Scholar 

  • Wang RH, Yu YT, Zhao JR, Shi YS, Song YC, Wang TY, Li Y (2008) Population structure and linkage disequilibrium of a mini core set of maize inbred lines in China. Theor Appl Genet 117:1141–1153

    Article  PubMed  CAS  Google Scholar 

  • Waples RS, Gaggiotti O (2006) What is a population? An empirical evaluation of some genetic methods for identifying the number of gene pools and their degree of connectivity. Mol Ecol 15:1419–1439

    Article  PubMed  CAS  Google Scholar 

  • Wilson LM, Wllitt SR, lbáñes AM, Rocheford TR, Goodman MM, Buckler ES (2004) Dissection of maize kernel composition and starch production by candidate associations. Plant Cell 16:27l9–2733

    Article  Google Scholar 

  • Xia XC, Reif JC, Melchinger AE, Frisch M, Hoisington DA, Beck D, Pixley K, Warburton ML (2005) Genetic Diversity among CIMMYT maize inbred lines investigated with SSR markers: II. subtropical, tropical midaltitude, and highland maize inbred lines and their relationships with elite US and European maize. Crop Sci 45:2573–2582

    Article  CAS  Google Scholar 

  • Xie CX, Warburton M, Li MS, Li XH, Xiao MJ, Hao ZF, Zhao Q, Zhang SH (2008) An analysis of population structure and linkage disequilibrium using multilocus data in 187 maize inbred lines. Mol Breed 21:407–418

    Article  Google Scholar 

  • Yan JB, Shah T, Warburton M, Buckler ES, McMullen MD, Crouch J (2009) Genetic characterization of a global maize collection using SNP markers. PLoS ONE 4:e8451

    Article  PubMed  CAS  Google Scholar 

  • Yan JB, Yang XH, Hector S, Shah T, Li JS, Warburton M, Zhou Y, Jonathan C, Xu YB (2010a) High-throughput SNP genotyping with the GoldenGate assay in maize. Mol Breed 25:441–451

    Article  CAS  Google Scholar 

  • Yan JB, Kandianis CB, Harjes CE, Bai L, Kim E, Yang XH, Skinner D, Fu ZY, Mitchell S, Li Q, Fernandez MGS, Zaharieva M, Babu R, Fu Y, Palacios N, Li JS, DellaPenna D, Brutnell T, Buckler ES, Warburton ML, Rocheford T (2010b) Rare genetic variation at zea mays crtRB1 increases β-carotene in maize grain. Nat Genet. doi:10.1038/ng.551

  • Yang XH, Guo YQ, Yan JB, Zhang J, Song TM, Rocheford T, Li JS (2010) Major and minor QTL and epistasis contribute to fatty acid composition and oil content in high-oil maize. Theor Appl Genet 120:665–678

    Article  PubMed  CAS  Google Scholar 

  • Yu JM, Buckler ES (2006) Genetic association mapping and genome organization of maize. Curr Opin Biotechnol 17:1–6

    Article  CAS  Google Scholar 

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

    Article  PubMed  CAS  Google Scholar 

  • Yu YT, Wang RH, Shi YS, Song YC, Wang TY, Li Y (2007) Genetic diversity and structure of the core collection for maize lines in China. Maydica 52:181–194

    Google Scholar 

  • Yu J, Holland JB, McMullen MD, Buckler ES (2008) Genetic design and statistical power of nested association mapping in maize. Genetics 178:539–551

    Article  PubMed  Google Scholar 

  • Zhao K, Aranzana MJ, Kim S, Lister C, Shindo C, Tang C, Toomajian C, Zheng H, Dean C, Marjoram P, Nordborg M (2007) An Arabidopsis example of association mapping in structured samples. PLoS Genet 3:e4

    Article  PubMed  CAS  Google Scholar 

  • Zheng G, Freidlin B, Li ZH, Gastwirth JL (2005) Genomic control for association studies under various genetic models. Biometrics 61:186–192

    Article  PubMed  Google Scholar 

  • Zhu CS, Yu JM (2009) Nonmetric multidimensional scaling corrects for population structure in association mapping with different sample types. Genetics 182:875–888

    Article  PubMed  Google Scholar 

  • Zhu CS, Gore M, Buckler ES, Yu JM (2008) Status and prospects of association mapping in plants. Plant Genome 1:5–20

    Article  CAS  Google Scholar 

Download references

Acknowledgments

Helpful comments on the early manuscript from Drs. Michael Gore and Maruthi Prasanna Boddupalli are appreciated. The authors gratefully thank the editor Dr. Jianming Yu and three anonymous reviewers for their valuable suggestions. This research was supported by National Hi-Tech Research and Development Program of China (2006AA100103, 2006AA10Z183), National Basic Research and Development Program of China (2007CB10900).

Author information

Authors and Affiliations

  1. National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Yuanmingyuan West Road, Haidian, Beijing, 100193, China

    Xiaohong Yang, Jianbing Yan, Qing Li, Lin Li, Yufeng Gao, Yuchao Chai, Zhiyuan Fu, Yi Zhou, Shutu Xu, Guanghong Bai, Yijiang Meng, Yanping Zheng & Jiansheng Li

  2. International Maize and Wheat Improvement Center (CIMMYT), Apdo. Postal 6-641, 06600, Mexico D.F., Mexico

    Jianbing Yan & Trushar Shah

  3. USDA-ARS Corn Host Plant Resistance Research Unit, Box 9555, Columbia, MS, 39762, USA

    Marilyn L. Warburton

  4. Agronomy College, Xinjiang Agricultural University, Urumqi, 830052, Xinjiang, China

    Guanghong Bai

  5. International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, 502 324, Andhra Pradesh, India

    Trushar Shah

Authors
  1. Xiaohong Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jianbing Yan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Trushar Shah
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Marilyn L. Warburton
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Qing Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Lin Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Yufeng Gao
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Yuchao Chai
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Zhiyuan Fu
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Yi Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Shutu Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Guanghong Bai
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. Yijiang Meng
    View author publications

    You can also search for this author in PubMed Google Scholar

  14. Yanping Zheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  15. Jiansheng Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Jianbing Yan or Jiansheng Li.

Additional information

Communicated by J. Yu.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOC 589 kb)

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Yang, X., Yan, J., Shah, T. et al. Genetic analysis and characterization of a new maize association mapping panel for quantitative trait loci dissection. Theor Appl Genet 121, 417–431 (2010). https://doi.org/10.1007/s00122-010-1320-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00122-010-1320-y

Keywords

  • Inbred Line
  • Association Mapping
  • Allelic Richness
  • Polymorphic Information Content
  • Maize Inbred Line