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Using random function analysis to quantify spatially variable crop responses from highly replicated field experiments

Reference	D11563
Principal Investigator / Supervisor	Professor Richard Lark
Co-Investigators / Co-Supervisors
Institution	Silsoe Research Institute
Department	Research Division
Funding type	Research
Value (£)	74,248
Status	Completed
Type	Research Grant
Start date	01/10/1999
End date	01/10/2001
Duration	24 months

Abstract

A fundamental question is whether crop response functions to fertilisers vary within fields. Classical field experimentation cannot answer this question. An alternative is proposed, in which experimental responses of the crop to different levels of nitrogen (observed at many sites in a field by exploitation of variable rate technology and yield mapping) will be modelled as random functions. Response functions for sub-regions of the field will then be estimated geostatistically and further questions addressed by stochastic simulation. A preliminary quantification of the environmental benefits from spatially variable fertiliser applications will also be obtained by modelling the nitrogen cycle. If successful, this approach could be useful for designing and analysing experiments to evaluate various spatially variable responses (e.g. to fungicides or herbicides).

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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