Simple statistical methods for the study of quantitative trait loci (QTL), such as analysis of
variance, have given way to methods that involve several markers and high-resolution …

Soybean (Glycine max (L.) Merr.) is an important leguminous crop and biotic stresses are a
global concern for soybean growers. In recent decades, significant development has been …

QTL are quantitative trait loci: genetic loci that contribute to variation in a quantitative trait.
QTL mapping is the effort to identify QTL through an experimental cross. In this book, we …

Composite interval mapping (CIM) is the most commonly used method for mapping
quantitative trait loci (QTL) with populations derived from biparental crosses. However, the …

The integrated likelihood (also called the marginal likelihood or the normalizing constant) is
a central quantity in Bayesian model selection and model averaging. It is defined as the …

The programs described here work under various operating systems. They have been tested
under three main classes of sytems: We refer to them as Windows, Macintosh and UNIX …

Even though marker-assisted selection now plays a prominent role in the field of plant
breeding, examples of successful, practical outcomes are rare. It is clear that DNA markers …

We consider the problem of identifying the genetic loci (called quantitative trait loci (QTLs))
contributing to variation in a quantitative trait, with data on an experimental cross. A large …

Gregor Mendel was either clever or lucky enough to study traits of simple inheritance in his
pea plants; however, many plant characters of interest to modern geneticists are decidedly …

Identification of quantitative trait loci (QTLs) in experimental animals is critical for
understanding the biochemical bases of complex traits, and thus for the identification of drug …