title: Including genetic relationships in selection decisions: alternative methodologies.
abstract: Investigations are made of variations in an iterative methodology previously introduced for reducing inbreeding by including genetic relationships in selection decisions, using adjusted estimated breeding values (EBV). An alternative computing strategy for maximising the value of the population selection criterion is shown to involve less computation, which results in function values as great or greater than the original method. Alteration of weights for different types of relationships in the adjusted EBV has no detectable effect on genetic gain at a given level of inbreeding. Selection using the adjusted EBV method in one sex and truncation on EBV in the other sex results in less genetic gain at a given level of inbreeding than using adjusted EBV in both sexes, but results in more gain at a given level of inbreeding than three selection strategies that do not include genetic relationships in selection decisions. The advantage of the adjusted EBV method over these three methods is retained when selection is for a sexlimited trait.
authors.affiliation: Centre for Genetic Improvement of Livestock, Department of Animal and Poultry Science, University of Guelph, NIG 2W1, Ontario, Canada.
authors.forename: J R
authors.initials: JR
authors.lastname: Brisbane
authors.forename: J P
authors.initials: JP
authors.lastname: Gibson