Genomic selection: genome-wide prediction in plant improvement

Trends Plant Sci. 2014 Sep;19(9):592-601. doi: 10.1016/j.tplants.2014.05.006. Epub 2014 Jun 23.


Association analysis is used to measure relations between markers and quantitative trait loci (QTL). Their estimation ignores genes with small effects that trigger underpinning quantitative traits. By contrast, genome-wide selection estimates marker effects across the whole genome on the target population based on a prediction model developed in the training population (TP). Whole-genome prediction models estimate all marker effects in all loci and capture small QTL effects. Here, we review several genomic selection (GS) models with respect to both the prediction accuracy and genetic gain from selection. Phenotypic selection or marker-assisted breeding protocols can be replaced by selection, based on whole-genome predictions in which phenotyping updates the model to build up the prediction accuracy.

Keywords: accuracy; breeding cycle; genetic gain; genomic selection; prediction models.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Agriculture
  • Breeding
  • Genome, Plant*
  • Plants / genetics*
  • Selection, Genetic*