Abstract
Prediction of QTL genotypes and trait phenotypes using FlexQTL™: A pedigree-based analysis approach
Highlights
The goal of predicting unknown phenotypes is the same for established genome-wide selection approaches and for the FlexQTLTM approach, but pedigree connectivity is at the core of the analysis, and locus-specific markers are utilized
Every year in the University of Florida (UF) strawberry breeding program, about a hundred crosses are made in the anticipation of superior fruit quality and better resistance to diseases
We utilize this data to demonstrate the ability of FlexQTLTM to predict unknown Quantitative Trait Loci (QTL) genotypes and phenotypes for a moderateeffect Soluble Solids Content (SSC) locus on Linkage Group (LG) 6A
Summary
The goal of predicting unknown phenotypes is the same for established genome-wide selection approaches and for the FlexQTLTM approach, but pedigree connectivity is at the core of the analysis, and locus-specific markers (as opposed to genome-wide markers) are utilized. A Pedigree-Based Analysis (PBA) software called FlexQTLTM has the statistical capability to predict QTL genotypes and unknown trait phenotypes.
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