Award details

Imputation assisted multivariate genetic parameter estimation

ReferenceBBS/E/R/02780655
Principal Investigator / Supervisor Professor John Woolliams
Co-Investigators /
Co-Supervisors
Institution The Roslin Institute
DepartmentThe Roslin Institute Department
Funding typeResearch
Value (£) 107,696
StatusCompleted
TypeInstitute Project
Start date 01/04/2000
End date 31/03/2004
Duration48 months

Abstract

The objective of this project are: Develop a synthesis of analytical and sampling based procedures to allow estimation of multivariate genetic parameters. Develop more efficient ways of fitting spline models by taking account of sparser parameterizations. In a previous grant it has been shown how to use analytical and sampling methods to estimate multivariate genetic parameters. All methods have difficulty dealing with large sets of multivariate data. The analytical techniques effort essentially increase with the cube of the product of the number of records and number of variates considered. The sampling techniques are more linear in effects, but it can require a large number of samples to give acceptably small standard errors. It is intended to investigate a synthesis of these methods. The methods will be tested on dairy cattle test day yield data. A flexible spline model will be investigated. It is anticipated that an alternative form of paramerterization of the spline model will need developing. There are eseentially 4 stages: Develop methodology for uncorrelated random effects. Extend to deal with collerated effects included related animals. Develop algorithms for fitting splines in a sparser way. Apply to data and optimize parameterization. The last stage will probably require as much effort as the first three.

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 X - not in an Initiative
Funding SchemeX – not Funded via a specific Funding Scheme
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