Your browser doesn't support javascript.
loading
The utility of genomic prediction models in evolutionary genetics.
McGaugh, Suzanne E; Lorenz, Aaron J; Flagel, Lex E.
Afiliação
  • McGaugh SE; Ecology, Evolution, and Behavior, University of Minnesota, 140 Gortner Lab, 1479 Gortner Avenue, Saint Paul, MN 55108, USA.
  • Lorenz AJ; Agronomy and Plant Genetics, University of Minnesota, 411 Borlaug Hall, 1991 Upper Buford Circle, Saint Paul, MN 55108, USA.
  • Flagel LE; Plant and Microbial Biology, University of Minnesota, 140 Gortner Lab, 1479 Gortner Avenue, Saint Paul, MN 55108, USA.
Proc Biol Sci ; 288(1956): 20210693, 2021 08 11.
Article em En | MEDLINE | ID: mdl-34344180
Variation in complex traits is the result of contributions from many loci of small effect. Based on this principle, genomic prediction methods are used to make predictions of breeding value for an individual using genome-wide molecular markers. In breeding, genomic prediction models have been used in plant and animal breeding for almost two decades to increase rates of genetic improvement and reduce the length of artificial selection experiments. However, evolutionary genomics studies have been slow to incorporate this technique to select individuals for breeding in a conservation context or to learn more about the genetic architecture of traits, the genetic value of missing individuals or microevolution of breeding values. Here, we outline the utility of genomic prediction and provide an overview of the methodology. We highlight opportunities to apply genomic prediction in evolutionary genetics of wild populations and the best practices when using these methods on field-collected phenotypes.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Polimorfismo de Nucleotídeo Único / Modelos Genéticos Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Polimorfismo de Nucleotídeo Único / Modelos Genéticos Idioma: En Ano de publicação: 2021 Tipo de documento: Article