title: Genetic components of variation in Nemophila menziesii undergoing inbreeding: morphology and flowering time.
abstract: The standard approaches to estimation of quantitative genetic parameters and prediction of response to selection on quantitative traits are based on theory derived for populations undergoing random mating. Many studies demonstrate, however, that mating systems in natural populations often involve inbreeding in various degrees (i.e. , self matings and matings between relatives). Here we apply theory developed for estimating quantitative genetic parameters for partially inbreeding populations to a population of Nemophila menziesii recently obtained from nature and experimentally inbred. Two measures of overall plant size and two of floral size expressed highly significant inbreeding depression. Of three dominance components of phenotypic variance that are defined under partial inbreeding, one was found to contribute significantly to phenotypic variance in flower size and flowering time, while the remaining two components contributed only negligibly to variation in each of the five traits considered. Computer simulations investigating selection response under the more complete genetic model for populations undergoing mixed mating indicate that, for parameter values estimated in this study, selection response can be substantially slowed relative to predictions for a random mating population. Moreover, inbreeding depression alone does not generally account for the reduction in selection response.
authors.affiliation: Department of Ecology, Evolution, and Behavior, University of Minnesota, Saint Paul, Minnesota 55108, USA. rshaw@superb.ecology.umn.edu
authors.forename: R G
authors.initials: RG
authors.lastname: Shaw
authors.forename: D L
authors.initials: DL
authors.lastname: Byers
authors.forename: F H
authors.initials: FH
authors.lastname: Shaw
mesh_terms: D019659:Asteraceae / Q000235:genetics*; D003433:Crosses, Genetic; D014644:Genetic Variation; D008432:Mathematical Computing; D008957:Models, Genetic; D012098:Reproduction / Q000235:genetics