Estimation of Genetic Parameters from Multiple Trait Selection Experiments

Publisher Website
Google Scholar
Abstract
The precision of estimates of realized genetic parameters obtained from multiple-selection experiments is considered. Statistical optimality theory is used in conjunction with Monte-Carlo techniques to investigate the relationship between index weight and the variability of the estimates. Results indicate that arbitrary choice of index weights is ill advised, and that with some prior knowledge (or good guesses) about the magnitudes of the genetic parameters, index weights can be identified that yield estimates with predictable variation. Copyright © 1984. American Society of Animal Science. Copyright 1984 by American Society of Animal Science.

This publication has 0 references indexed in Scilit: