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ARS Home » Northeast Area » Ithaca, New York » Robert W. Holley Center for Agriculture & Health » Plant, Soil and Nutrition Research » Research » Publications at this Location » Publication #232667

Title: Applications of Linkage Disequilibrium and Association Mapping in Maize

item Buckler, Edward - Ed

Submitted to: Book Chapter
Publication Type: Book / Chapter
Publication Acceptance Date: 5/15/2009
Publication Date: 7/10/2009
Citation: Buckler Iv, E.S., Ersoz, E.S., Jianming, Y. 2009. Applications of Linkage Disequilibrium and Association Mapping in Maize. In: A.L. Kriz, B.A. Larkins, editors. Molecular Genetic Approaches to Maize Improvement, New York, NY: Springer-Verlag Berlin Heidelberg. p. 173.

Interpretive Summary: The investigations of patterns of linkage disequilibrium for designing association-mapping studies are fast becoming a method of interest for complex trait dissection and improvement practices in Maize. The methodology and its applications to Maize improvement to date are discussed.

Technical Abstract: Most genetic mapping has either involved examining the offspring of two individuals (linkage mapping) or examining a large collection of unrelated individuals (association mapping). Association mapping provides a new alternative to the more common linkage analysis for the dissection of complex traits. Although adjustments and improvements are continually being made in its application, appropriate use of this new tool allows for several advantages over traditional linkage methods, including higher mapping resolution, broader reference populations and less research time to establish an association. In this review article, we discuss recent advances in candidate-gene association mapping conducted in maize and consider maize genome structure and its implications for association mapping. With such increased awareness and education among the plant community concerning this powerful new research tool, in conjunction with the promise of future maize genome sequence, association mapping will no doubt prove instrumental in identifying and describing the genes and alleles that control complex traits.