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

Overview of attention for article published in Theoretical and Applied Genetics, March 2009
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Title
Family-based mapping of quantitative trait loci in plant breeding populations with resistance to Fusarium head blight in wheat as an illustration
Published in
Theoretical and Applied Genetics, March 2009
DOI 10.1007/s00122-009-1010-9
Pubmed ID
Authors

U. R. Rosyara, J. L. Gonzalez-Hernandez, K. D. Glover, K. R. Gedye, J. M. Stein

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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 6%
Netherlands 2 2%
Brazil 2 2%
Sweden 1 1%
Argentina 1 1%
Canada 1 1%
Unknown 77 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 30%
Researcher 27 30%
Professor > Associate Professor 7 8%
Student > Master 6 7%
Student > Bachelor 4 4%
Other 12 13%
Unknown 6 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 70 79%
Computer Science 3 3%
Engineering 2 2%
Biochemistry, Genetics and Molecular Biology 2 2%
Philosophy 1 1%
Other 2 2%
Unknown 9 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 January 2012.
All research outputs
#7,845,540
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#1,366
of 3,565 outputs
Outputs of similar age
#33,699
of 95,337 outputs
Outputs of similar age from Theoretical and Applied Genetics
#4
of 10 outputs
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