ABSTRACT
The relationship between quantitative trait variation and qualitative traits can be quantified using statistical models. Using biological knowledge and linkage analysis, this chapter determines the mode of the marker inheritance and their genome locations. It describes some of the early work on quantitative trait loci (QTL) mapping using singlemarker analysis. Single-marker analysis is based on comparisons between marker genotypic means through a t-test, an analysis of variance, a likelihood ratio test, or a simple regression for trait on coded marker genotype. An analysis of variance of the trait values, using marker genotypes as a classification variable, can be used to detect the association between the trait values and the marker. A linear regression model also can be used for single marker analysis using F2 progeny. Dominant markers are gaining more and more attention in genomic research because of the automated analysis of Polymerase chain reaction (PCR) based markers.
