8th INTERNATIONAL WHEAT CONFERENCE

geNomIC TeChNoLogIeS ANd ReSouRCeS foR WheAT
geNeTICS ANd BReedINg
E Akhunov 1 , C. Saintenac 1 , J Dubcovsky 2 , J Dvorak 2 ,
MC Luo 2 , PS Baenziger 3 , V. Catana 1 , R Matnyazov 1 ,
B Bowden 1 , DR Clark 4 , L Talbert 5 , JA Anderson 6 ,
S Dreisigacker 7 , K Glover 8 , J Chen 9 , K Campbell 10 ,
PL Bruckner 11 , JC Rudd 12 , S Haley 13 , BF Carver 14 , R Sims 15 ,
ME Sorrells 16 , S Chao 17
1 Department of Plant Pathology, Kansas State University, Manhattan, KS, USA.
2 Department of Plant Sciences, University of California, Davis, CA, USA.
3 Plant Science Building, University of Nebraska, Lincoln, NE, USA.
4 WestBred, LLC, Bozeman, MT, USA.
5 Department of Plant Sciences, Montana State University, Bozeman, MT, USA.
6 Dept. of Agronomy & Plant Genetics, University of Minnesota, St. Paul, MN, USA.
7 Genetic Resources and Enhancement Unit, CIMMYT, Mexico, D.F., Mexico.
8 Plant Science Department, South Dakota State University, Brookings, SD, USA.
9 University of Idaho Aberdeen Research & Extension Center, Aberdeen ID, USA.
10 USDA-ARS Wheat Genetics, Quality, Physiology & Disease Research Unit, Washington
State University, Pullman WA, USA.
11 Plant Sciences and Plant Pathology, Bozeman, MT, USA.
12 Texas AgriLife Research and Extension Center, Amarillo, TX, USA.
13 Soil and Crop Sciences Department, Colorado State University, Fort Collins, CO, USA.
14 Oklahoma State University, Department of Plant and Soil Sciences, Stillwater, OK, USA.
15 WestBred, LLC, Haven, KS, USA.
16 Plant Breeding and Genetics, Cornell University, Ithaca, NY, USA.
17 USDA ARS Genotyping Laboratory, Biosciences Research Laboratory, Fargo, ND, USA
E-mail: eakhunov@ksu.edu
To maintain progress in developing new improved varieties wheat breeding programs
need to adopt new approaches broadly utilizing genomic tools and resources developed
for model plant systems and major crop species. Recent advances in genotyping and sequencing
technologies provided unprecedented opportunities for inexpensive and fast
sequence-based analysis of structural and genetic variation in complex plant genomes.
Such applications as association mapping, high-resolution genetic mapping and genomic
selection that play important role in crop breeding and genetics can greatly benefit from
availability of dense genome-wide distributed markers. Next generation sequencing technologies
has already been shown to be effective for SNP discovery in crop genomes (Barbazuk
et al., 2007) and high-density genotyping (Baird et al., 2008); highly multiplexed
SNP genotyping assays were developed and used for association and high-resolution genetic
mapping (Akhunov et al., 2009; Hyten et al 2008).
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