Open Access

A method to optimize selection on multiple identified quantitative trait loci

Genetics Selection Evolution200234:145

https://doi.org/10.1186/1297-9686-34-2-145

Received: 5 February 2001

Accepted: 15 October 2001

Published: 15 March 2002

Abstract

A mathematical approach was developed to model and optimize selection on multiple known quantitative trait loci (QTL) and polygenic estimated breeding values in order to maximize a weighted sum of responses to selection over multiple generations. The model allows for linkage between QTL with multiple alleles and arbitrary genetic effects, including dominance, epistasis, and gametic imprinting. Gametic phase disequilibrium between the QTL and between the QTL and polygenes is modeled but polygenic variance is assumed constant. Breeding programs with discrete generations, differential selection of males and females and random mating of selected parents are modeled. Polygenic EBV obtained from best linear unbiased prediction models can be accommodated. The problem was formulated as a multiple-stage optimal control problem and an iterative approach was developed for its solution. The method can be used to develop and evaluate optimal strategies for selection on multiple QTL for a wide range of situations and genetic models.

Keywords

selectionquantitative trait locioptimizationmarker assisted selection

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Authors’ Affiliations

(1)
Department of Animal Science, Iowa State University Ames
(2)
Inra-UPS-Ina PG, Station de génétique végétale, Ferme du Moulon

Copyright

© INRA, EDP Sciences 2002

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