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Published online 16 January 2008
Published in Crop Sci 48:30-40 (2008)
© 2008 Crop Science Society of America
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Community Resources and Strategies for Association Mapping in Sorghum

Alexandra M. Casaa,e,f, Gael Pressoira,f, Patrick J. Browna, Sharon E. Mitchella, William L. Rooneyb, Mitchell R. Tuinstrac, Cleve D. Franksd and Stephen Kresovicha,*

a Inst. for Genomic Diversity, Cornell Univ., Ithaca, NY 14853
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
e current address: Nature Source Genetics, Ithaca, NY 14850
f contributed equally to this work

* Corresponding author (sk20{at}cornell.edu).

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.

Abbreviations: BIC, Bayesian information criteria • SCP, Sorghum Conversion Program • SSR, simple sequence repeat


Thanks to Charlotte Acharya for assistance with data collection and analysis and to Claire Billot (CIRAD) and Genoplante for making primer sequences available before publication. We also want to express our gratitude to Martha Hamblin for her comments and suggestions. Special thanks to Dr. Darrel Rosenow for assistance in classifying the accessions used in this study.

All rights reserved. No part of this periodical may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Permission for printing and for reprinting the material contained herein has been obtained by the publisher.

Received for publication February 12, 2007.





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