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Wiley InterScience

The Plant Journal

The Plant Journal

Volume 44 Issue 6, Pages 1054 - 1064

Published Online: 21 Nov 2005

Journal compilation © 2010 Blackwell Publishing Ltd and the Society for Experimental Biology



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TECHNICAL ADVANCE
Maize association population: a high-resolution platform for quantitative trait locus dissection
Sherry A. Flint-Garcia 1,2 , Anne-Céline Thuillet 3 , Jianming Yu 4 , Gael Pressoir 4 , Susan M. Romero 4 , Sharon E. Mitchell 4 , John Doebley 3 , Stephen Kresovich 4 , Major M. Goodman 5 and Edward S. Buckler 4,6,*
  1 US Department of Agriculture – Agricultural Research Service, Plant Genetics Research Unit, Columbia, MO 65211, USA
  2 Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA,
  3 Department of Genetics, University of Wisconsin, Madison, WI 65211, USA,
  4 Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853, USA,
  5 Department of Crop Science, North Carolina State University, Raleigh, NC 27695, USA, and
  6 US Department of Agriculture – Agricultural Research Service, US Plant, Soil and Nutrition Research Unit, Ithaca, NY 14853, USA
Correspondence to   *(fax +1 607 255 6249; e-mail esb33@cornell.edu).
Copyright 2005 Blackwell Publishing Ltd No claim to original US government works
KEYWORDS
association mapping • quantitative trait loci • diverse maize germplasm • linkage-disequilibrium mapping

Summary

AbstractIntroductionResults and discussionThe association populationPhenotypic diversityReferences

Crop improvement and the dissection of complex genetic traits require germplasm diversity. Although this necessary phenotypic variability exists in diverse maize, most research is conducted using a small subset of inbred lines. An association population of 302 lines is now available – a valuable research tool that captures a large proportion of the alleles in cultivated maize. Provided that appropriate statistical models correcting for population structure are included, this tool can be used in association analyses to provide high-resolution evaluation of multiple alleles. This study describes the population structure of the 302 lines, and investigates the relationship between population structure and various measures of phenotypic and breeding value. On average, our estimates of population structure account for 9.3% of phenotypic variation, roughly equivalent to a major quantitative trait locus (QTL), with a high of 35%. Inclusion of population structure in association models is critical to meaningful analyses. This new association population has the potential to identify QTL with small effects, which will aid in dissecting complex traits and in planning future projects to exploit the rich diversity present in maize.


Received 5 July 2005; accepted 17 August 2005.

DIGITAL OBJECT IDENTIFIER (DOI)
10.1111/j.1365-313X.2005.02591.x About DOI

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