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Theoretical and Applied Genetics

, Volume 118, Issue 8, pp 1617–1631 | Cite as

Family-based mapping of quantitative trait loci in plant breeding populations with resistance to Fusarium head blight in wheat as an illustration

  • U. R. Rosyara
  • J. L. Gonzalez-Hernandez
  • K. D. Glover
  • K. R. Gedye
  • J. M. Stein
Original Paper

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.

Keywords

Quantitative Trait Locus Marker Assisted Selection Fusarium Head Blight Association Mapping Quantitative Trait Locus Mapping 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The study was supported by the South Dakota Wheat Commission, the South Dakota Agri. Exp. Station and USDA-ARS agreement 59-0790-8-066 thru the US Wheat and Barley Scab Initiative. JLGH acknowledges support from USDA CSREES grants SD00055G, and SD00076G. We acknowledge use of the SDSU-Functional Genomics Core Facility supported in part by NSF/EPSCoR Grant No. 0091948, the Center of Excellence in Drought Tolerance through the South Dakota 2010 Initiative and the South Dakota Agri. Exp. Station. We want to thank Dr. Goncalo Abecasis for his useful comments regarding the software to analyze the data from this study. Also we would like to thank Kim Maxson-Stein, Loralie Peterson, Brandon Monier, and Jon Kleinjan for their technical assistance.

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Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  • U. R. Rosyara
    • 1
  • J. L. Gonzalez-Hernandez
    • 1
  • K. D. Glover
    • 1
  • K. R. Gedye
    • 1
  • J. M. Stein
    • 1
  1. 1.Department of Plant SciencesSouth Dakota State UniversityBrookingsUSA

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