BBSRC Portfolio Analyser
Award details
To test alternative wheat models, or their components, with common datasets, in order to determine optimal approach for different applications
Reference
BBS/E/C/00011625
Principal Investigator / Supervisor
Dr Rowan Mitchell
Co-Investigators /
Co-Supervisors
Dr Mikhail Semenov
Institution
Rothamsted Research
Department
Rothamsted Research Department
Funding type
Research
Value (£)
75,920
Status
Completed
Type
Institute Project
Start date
01/04/1997
End date
31/12/1999
Duration
33 months
Abstract
Details should only be considered in the context of PU information. The aim is to compare alternative wheat models to find the best set of algorithms for particular purposes; e.g. decision support on management decisions, risk assessment of UK and European wheat production at the regional scale, etc. Existing wheat models differ greatly in their degree of complexity and also in their underlying assumptions, and recent research has highlighted the consequences of these differences for yield prediction. These alternative assumptions will be programmed into interchangeable modules. Appropriate experimental data will be obtained to test the most important assumptions. Finally, identification of optimal models will take place by testing against appropriate data at the scale of interest (crop, farm or region).
Summary
unavailable
Committee
Closed Committee - Agri-food (AF)
Research Topics
X – not assigned to a current Research Topic
Research Priority
X – Research Priority information not available
Research Initiative
X - not in an Initiative
Funding Scheme
X – not Funded via a specific Funding Scheme
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