AgricultureGeneticsPlant BreedingMarker-assisted SelectionPopulation ImprovementQuantitative GeneticsBackground SelectionForeground SelectionMarker-assisted BackcrossingMarker-assisted IntrogressionQuantitative Trait LociQuantitative Trait Locus MappingBackcross GenerationsConfidence Interval EstimationConfidence Interval EvaluationPopulation-based Qtl MappingQtl IntrogressionQtl LocalizationQtl Position EstimationSelection In The Background
The study investigates using molecular markers to introgress superior QTL alleles into a recipient line via analytic and simulation results. Marker positions for foreground selection are optimized based on QTL confidence intervals, population sizes are calculated to set limits on simultaneously monitored QTLs, and background selection requires re‑evaluation of marker placement to accelerate recovery of the recipient genotype. Using at least three markers per QTL yields good control across generations; calculated population sizes define the maximum number of QTLs that can be monitored simultaneously, and background selection—especially in pyramidal backcrosses—accelerates genomic similarity to the recipient parent with limited cost.
The use of molecular markers for the introgression of one or several superior QTL alleles into a recipient line is investigated using analytic and simulation results. The positions of the markers devoted to the control of the genotype at the QTLs in a “foreground selection” step are optimized given the confidence interval of the QTL position. Results demonstrate that using at least three markers per QTL allows a good control over several generations. Population sizes that should be recommended for various numbers of QTLs are calculated and are used to determine the limit in the number of QTLs that can be monitored simultaneously. If “background selection” devoted to accelerate the return to the recipient parent genotype outside the QTL regions is applied, the positions of the markers devoted to the control of the QTLs have to be reconsidered. When several QTLs are monitored simultaneously, background selection among the limited number of individuals resulting from the foreground selection step accelerates the increase in genomic similarity with the recipient parent, with only limited costs. Background selection is even more efficient in a pyramidal backcross program where QTLs are first monitored one by one.
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Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.
Eric S. Lander, David Botstein · Genetics · 1989 · 5.3K citations · Full text
Life Sciences, Biology, Genetics +17
Molecular markers in plant breeding
Steven D. Tanksley · Plant Molecular Biology Reporter · 1983 · 387 citations