Family-based mapping of quantitative trait loci in plant breeding populations with resistance to Fusarium head blight in wheat as an illustration |
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Authors: | U R Rosyara J L Gonzalez-Hernandez K D Glover K R Gedye J M Stein |
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Institution: | (1) Department of Plant Sciences, South Dakota State University, Brookings, SD, USA |
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Abstract: | Traditional quantitative trait loci (QTL) mapping approaches are typically based on early or advanced generation analysis
of bi-parental populations. A limitation associated with this methodology is the fact that mapping populations rarely give
rise to new cultivars. Additionally, markers linked to the QTL of interest are often not immediately available for use in
breeding and they may not be useful within diverse genetic backgrounds. Use of breeding populations for simultaneous QTL mapping,
marker validation, marker assisted selection (MAS), and cultivar release has recently caught the attention of plant breeders
to circumvent the weaknesses of conventional QTL mapping. The first objective of this study was to test the feasibility of
using family-pedigree based QTL mapping techniques generally used with humans and animals within plant breeding populations
(PBPs). The second objective was to evaluate two methods (linkage and association) to detect marker-QTL associations. The
techniques described in this study were applied to map the well characterized QTL, Fhb1 for Fusarium head blight resistance in wheat (Triticum
aestivum L.). The experimental populations consisted of 82 families and 793 individuals. The QTL was mapped using both linkage (variance
component and pedigree-wide regression) and association (using quantitative transmission disequilibrium test, QTDT) approaches
developed for extended family-pedigrees. Each approach successfully identified the known QTL location with a high probability
value. Markers linked to the QTL explained 40–50% of the phenotypic variation. These results show the usefulness of a human
genetics approach to detect QTL in PBPs and subsequent use in MAS. |
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