Linkage Disequilibrium and Association Mapping in the Triticeae

Abstract

Association mapping, also referred to as linkage disequilibrium mapping, has gained considerable popularity as an efficient genetic mapping methodology because of improved statistical approaches that increase power and reduce false positive associations. Association mapping exploits historical recombination events in a diverse population of distantly related or unrelated individuals. In this chapter, linkage disequilibrium estimates and association mapping results for the Triticeae are reviewed and compared to other species. Strategies for implementing association mapping are discussed that take into account objectives, types of markers, species and population size and composition. Finally, different methodologies for the application of association analysis to crop improvement are presented along with issues specific to breeding programs.