title: Population genetics of genomics-based crop improvement methods.
abstract: Many genome-wide association studies (GWAS) in humans are concluding that, even with very large sample sizes and high marker densities, most of the genetic basis of complex traits may remain unexplained. At the same time, recent research in plant GWAS is showing much greater success with fewer resources. Both GWAS and genomic selection (GS), a method for predicting phenotypes by the use of genome-wide marker data, are receiving considerable attention among plant breeders. In this review we explore how differences in population genetic histories, as well as past selection for traits of interest, have produced trait architectures and patterns of linkage disequilibrium (LD) that frequently differ dramatically between domesticated plants and humans, making detection of quantitative trait loci (QTL) effects in crops more rewarding and less costly than in humans.
authors.affiliation: Institute for Genomic Diversity, Biotechnology Building, Cornell University, Ithaca, NY 14853, USA. jeanluc.jannink@ars.usda.gov
authors.forename: Martha T
authors.initials: MT
authors.lastname: Hamblin
authors.forename: Edward S
authors.initials: ES
authors.lastname: Buckler
authors.forename: Jean-Luc
authors.initials: JL
authors.lastname: Jannink
mesh_terms: D000383:Agriculture / Q000379:methods*; D001947:Breeding; D018556:Crops, Agricultural / Q000235:genetics*; D005787:Gene Frequency; D005828:Genetics, Population; D023281:Genomics; D015810:Linkage Disequilibrium; D012641:Selection, Genetic / Q000235:genetics