title: Computing approximate standard errors for genetic parameters derived from random regression models fitted by average information REML.
abstract: Approximate standard errors (ASE) of variance components for random regression coefficients are calculated from the average information matrix obtained in a residual maximum likelihood procedure. Linear combinations of those coefficients define variance components for the additive genetic variance at given points of the trajectory. Therefore, ASE of these components and heritabilities derived from them can be calculated. In our example, the ASE were larger near the ends of the trajectory.
authors.affiliation: School of Rural Science and Agriculture, University of New England, Armidale, NSW, 2351, Australia. tfischer@une.edu.au
authors.forename: Troy M
authors.initials: TM
authors.lastname: Fischer
authors.forename: Arthur R
authors.initials: AR
authors.lastname: Gilmour
authors.forename: Julius H J
authors.initials: JH
authors.lastname: van der Werf
mesh_terms: D017677:Age Distribution; D000465:Algorithms; D000818:Animals; D002417:Cattle / Q000235:genetics*; D005260:Female; D016013:Likelihood Functions; D008297:Male; D008957:Models, Genetic; D011897:Random Allocation; D012044:Regression Analysis