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Abstract
With whole-farm models, it is usually hard to know how representative the models are of
reality. No rigorous validation procedure seems to have been proposed. There has always
been a dilemma between descriptive power and tractability. The outcome has been to resort to
a confused mix of expert opinion and normative attitude. Discrepancies between model
output and farmersĀ· behaviour have usually been interpreted in disfavour of farmers, by
considering them to be ;n some way sub-optimal, or insufficiently informed. In traditional
systems where the rationale of production behaviour can vary widely, it may pay to first
understand their rationale before applying nonnative principles or recommending new
technologies. We use a case study in Mexico to illustrate a procedure allowing for such an
assessment of our understanding. The procedure. though based on the use of linear
programming, is independent of the modelling technique.