We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
The Bayesian choice of crop variety and fertilizer dose.
- Authors
Theobald, Chris M.; Talbot, Mike
- Abstract
Recent contributions to the theory of optimizing fertilizer doses in agricultural crop production have introduced Bayesian ideas to incorporate information on crop yield from several environments and on soil nutrients from a soil test, but they have not used a fully Bayesian formulation. We present such a formulation and demonstrate how the resulting Bayes decision procedure can be evaluated in practice by using Markov chain Monte Carlo methods. The approach incorporates expert knowledge of the crop and of regional and local soil conditions and allows a choice of crop variety as well as of fertilizer level. Alternative dose-response functions are expressed in terms of a common interpretable set of parameters to facilitate model comparisons and the specification of prior distributions. The approach is illustrated with a set of yield data from spring barley nitrogen-response trials and is found to be robust to changes in the dose-response function and the prior distribution for indigenous soil nitrogen.
- Subjects
AGRICULTURAL productivity; BAYESIAN analysis; MARKOV processes
- Publication
Journal of the Royal Statistical Society: Series C (Applied Statistics), 2002, Vol 51, Issue 1, p23
- ISSN
0035-9254
- Publication type
Article
- DOI
10.1111/1467-9876.04863