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This article in CS

  1. Vol. 48 No. 1, p. 30-40
     
    Received: Feb 12, 2007
    Published: Jan, 2008


    * Corresponding author(s): sk20@cornell.edu
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doi:10.2135/cropsci2007.02.0080

Community Resources and Strategies for Association Mapping in Sorghum

  1. Alexandra M. Casaaef,
  2. Gael Pressoiraf,
  3. Patrick J. Browna,
  4. Sharon E. Mitchella,
  5. William L. Rooneyb,
  6. Mitchell R. Tuinstrac,
  7. Cleve D. Franksd and
  8. Stephen Kresovich *a
  1. a Inst. for Genomic Diversity, Cornell Univ., Ithaca, NY 14853
    e current address: Nature Source Genetics, Ithaca, NY 14850
    f contributed equally to this work
    b Dep. of Soil and Crop Sciences, Texas A&M Univ., College Station, TX 77843
    c Dep. of Agronomy, Kansas State Univ., Manhattan, KS 66506
    d USDA-ARS Plant Stress and Germplasm Development Unit, Cropping Systems Research Lab., Lubbock, TX 79415

Abstract

Association mapping is a powerful strategy for identifying genes underlying quantitative traits in plants. We have assembled and characterized genetic and phenotypic diversity of a sorghum [Sorghum bicolor (L.) Moench] panel suitable for association mapping, comprised of 377 accessions representing all major cultivated races (tropical lines from diverse geographic and climatic regions), and important U.S. breeding lines and their progenitors. Accessions were phenotyped for eight traits, and levels of population structure and familial relatedness were assessed with 47 simple sequence repeat (SSR) loci. The panel exhibited substantial morphological variation and little genotypic differentiation was observed between the converted tropical and breeding lines. The phenotypic and genotypic data were used to evaluate the performance of several association models in controlling for spurious associations. Our analysis indicated that association models that accounted for both population structure and kinship performed better than those that did not. In addition, we found that the optimal number of subpopulations used to correct for population structure was trait dependent. Although augmentation of the genotypic data with additional SSR loci may be necessary, the association models, genotypic data, and germplasm panel described here provide a starting point for sorghum researchers to begin association studies of traits and markers or candidate genes of interest.

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