Genome wide selection (GWS) and maximization of the genetic improvement efficiency

Authors

  • Marcos Deon Vilela de Resende Embrapa Florestas
  • Paulo Sávio Lopes Universidade Federal de Viçosa
  • Rogério Luíz da Silva Universidade Federal de Viçosa
  • Ismael Eleotério Pires Universidade Federal de Viçosa

Keywords:

Genomic selection, linkage disequilibrium analysis, fine mapping, genetic markers.

Abstract

Genetic selection has been practiced by the best linear unbiased prediction (BLUP) method using phenotypic records. A first proposal for enhancement of the efficiency of this procedure was the marker assisted selection (MAS). Later, another method called genome wide selection - GWS was reported, which presents high accuracy for the selection based exclusively on markers, after predicting their genetic effects from phenotypic data in a sample of the population of selection. GWS is excellent for low heritable traits, while MAS is not. This paper presents the GWS methodology and simulates a case of its application, aiming at emphasizing its advantages over MAS. The relation between traditional BLUP and genomic BLUP is also detailed as well as the sample size required for precise estimation of the genetic values of the markers. Results revealed that the GWS can be worthy for genetic improvement. Practical experience is much needed to infer about its effectiveness.

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How to Cite

RESENDE, Marcos Deon Vilela de; LOPES, Paulo Sávio; SILVA, Rogério Luíz da; PIRES, Ismael Eleotério. Genome wide selection (GWS) and maximization of the genetic improvement efficiency. Pesquisa Florestal Brasileira, [S. l.], n. 56, p. 63, 2010. Disponível em: https://pfb.sede.embrapa.br/pfb/article/view/63. Acesso em: 20 apr. 2025.

Issue

No. 56 (2008): jan./jun.

Section

Articles

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