title: Likelihood estimation of quantitative genetic parameters when selection occurs: models and problems.
abstract: Conceptual aspects of estimation of genetic components of variance and covariance under selection are discussed, with special attention to likelihood methods. Certain selection processes are described and alternative likelihoods that can be used for analysis are specified. There is a mathematical relationship between the likelihoods that permits comparing the relative amount of information contained in them. Theoretical arguments and evidence indicate that point inferences made from likelihood functions are not affected by some forms of selection.
authors.affiliation: Department of Animal Sciences, University of Illinois, Urbana 61801.
authors.forename: D
authors.initials: D
authors.lastname: Gianola
authors.forename: R L
authors.initials: RL
authors.lastname: Fernando
authors.forename: S
authors.initials: S
authors.lastname: Im
authors.forename: J L
authors.initials: JL
authors.lastname: Foulley
mesh_terms: D000818:Animals; D001947:Breeding; D008957:Models, Genetic; D015999:Multivariate Analysis; D012641:Selection, Genetic