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Genomic Selection

  • Elisabeth JonasEmail author
  • Freddy Fikse
  • Lars Rönnegård
  • Elena Flavia Mouresan
Chapter
Part of the Population Genomics book series (POGE)

Abstract

Prediction of phenotypes is not only used for selection and breeding in animal and plant populations but also for the assessment of specific phenotypes, especially predisposition to diseases and disorders in human populations. The use of genetic markers has been shown to be useful for prediction and selection for phenotypic traits. The concept of using genetic markers for prediction of breeding values or phenotypes was suggested many decades ago, but applications of marker-assisted selection were limited due to the low number of markers that could be genotyped and the low number of confirmed quantitative trait loci (QTL) that could be selected upon. Genomic selection, in contrast, utilizes dense genetic markers across the whole genome for the prediction of phenotypes as all QTL can be assumed to be in linkage disequilibrium with at least one marker. Genomic selection allows thereby choosing the genetically best individuals without the need to confirm QTL. The concept of genomic selection, proposed in 2001, has since been further developed and applied. Nowadays, genomic selection is widely applied in breeding populations of plants and animals for the selection of future breeding individuals. The chapter introduces the general concept of genomic selection. It further discusses relevant prerequisites for the application of genomic selection, including genotyping platforms and reference populations. Some of the methods applied today as well as suggested advancements of methods are introduced. The final part of the chapter describes briefly applications in animal, plant, and human populations (status when writing this chapter), before concluding with some general notes on genomic selection.

Keywords

Breeding Genotyping Parametric methods Prediction Reference population Selection candidates Semiparametric methods 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Elisabeth Jonas
    • 1
    Email author
  • Freddy Fikse
    • 1
  • Lars Rönnegård
    • 1
    • 2
  • Elena Flavia Mouresan
    • 1
  1. 1.Department of Animal Breeding and GeneticsSwedish University of Agricultural SciencesUppsalaSweden
  2. 2.Statistics Unit, School of Technology and Business StudiesDalarna UniversityFalunSweden

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