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Monte Carlo methods for detecting and using interacting quantitative trait genes
Reference
MMI09776
Principal Investigator / Supervisor
Professor Robin Thompson
Co-Investigators /
Co-Supervisors
Professor John Snape
Institution
Rothamsted Research
Department
Sustainable Soils and Grassland Systems
Funding type
Research
Value (£)
108,827
Status
Completed
Type
Research Grant
Start date
15/02/1999
End date
13/06/2003
Duration
52 months
Abstract
This study is concerned with the marker-assisted detection and use of quantitative trait genes (QTL) in plants. It will develop new statistical techniques to harness the rapidly increasing molecular data on plants to help in enabling plant trait genes to be identified and increase response in marker-assisted plant breeding programmes using novel statistical techniques. Markov Chain Monte Carlo methods will be constructed and tested for interacting QTL models useful for plant data. They will be applied to univariate multigeneration data. These statistical methods will be investigated in order to give guidelines on their application to marker-assisted selection. The methods will be extended to models with multivariate data and applied to existing data.
Summary
unavailable
Committee
Closed Committee - Engineering & Biological Systems (EBS)
Research Topics
X – not assigned to a current Research Topic
Research Priority
X – Research Priority information not available
Research Initiative
Mathematical Modelling Initiative (MMI) [1997]
Funding Scheme
X – not Funded via a specific Funding Scheme
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