Award details

Monte Carlo methods for detecting and using interacting quantitative trait genes

ReferenceMMI09776
Principal Investigator / Supervisor Professor Robin Thompson
Co-Investigators /
Co-Supervisors
Professor John Snape
Institution Rothamsted Research
DepartmentSustainable Soils and Grassland Systems
Funding typeResearch
Value (£) 108,827
StatusCompleted
TypeResearch Grant
Start date 15/02/1999
End date 13/06/2003
Duration52 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 TopicsX – not assigned to a current Research Topic
Research PriorityX – Research Priority information not available
Research Initiative Mathematical Modelling Initiative (MMI) [1997]
Funding SchemeX – not Funded via a specific Funding Scheme
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