Award details

Model-based statistical methods for doing experiments at landscape scale

Reference	D20191/2
Principal Investigator / Supervisor	Professor Richard Lark
Co-Investigators / Co-Supervisors
Institution	Rothamsted Research
Department	Computational & Systems Biology
Funding type	Research
Value (£)	94,403
Status	Completed
Type	Research Grant
Start date	01/11/2004
End date	31/10/2006
Duration	24 months

Abstract

In conventional experimental design and analysis the effects of environmental variation are consigned to additive block, covariate or residual effects. This assumption may be plausible for classical trials conducted on plots within a single field, but is dubious if we wish to conduct experiments to compare the effects of treatments at the scale of a landscape. It is increasingly important to be able to do this to meet the requirements of policy makers. For this reason a model-based statistical framework, based on the geostatistical model, is proposed for the analysis of landscape scale experiments. Here treatments responses and contrasts are modelled as functions of location in space, and are estimated by kriging. This framework will be developed and then applied to a case study with relatively simple treatment structure, but responses likely to vary across the landscape.

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

Associated awards:

D20191 Model-based statistical methods for doing experiments at landscape scale

I accept the terms and conditions of use (opens in new window)

export PDF file

back to list new search