There is a growing need for the development of statistical techniques capable of mapping
quantitative trait loci (QTL) in general outbred animal populations. Presently used variance …

In this chapter, we present statistical methods for mapping quantitative trait loci (QTLs) in
outbred or complex pedigrees. Such pedigrees exist primarily in livestock populations, also …

Quantitative Trait Loci (QTL) is a topic of major agricultural significance for efficient livestock
production. This book covers various statistical methods that have been used or proposed …

The mapping of loci underlying variation in quantitative traits is proving to be a powerful tool
in genetic studies of animals and other organisms. Quantitative trait locus (QTL) mapping in …

A residual maximum likelihood method, implemented with a derivative-free algorithm, was
derived for estimating position and variance contribution of a single QTL together with …

Quantitative trait gene or locus (QTL) mapping is routinely used in genetic analysis of
complex traits. Especially in practical breeding programs, questions remain such as how …

A mixture model approach is presented for the mapping of one or more quantitative trait loci
(QTLs) in complex populations. In order to exploit the full power of complete linkage maps …

Statistical methods to map quantitative trait loci (QTL) in outbred populations are reviewed,
extensions and applications to human and plant genetic data are indicated, and areas for …

Experiments to map QTL usually measure several traits, and not uncommonly genotype only
those animals that are extreme for some trait (s). Analysis of selectively genotyped, multiple …

Several statistical methods which employ multiple marker data are currently available for the
analysis of quantitative trait loci (QTL) in experimental populations. Although comparable …