Principally, must quality regarded at the habitat could be predicted by simulating the physiology of vine by means of dynamic system modelling. They need a dynamic driver variable for which it would be difficult to translate the static habitat characteristics into a dynamic series of microclimatic data for driving such a model. In particular we would be very uncertain about which faults should be attributed to which part of model. Under these conditions, there is a suggestion that a linear multivariant model should be able to predict the relative must quality from habitat characteristics. Two reasons, however, prevent the problem from being satisfactorily solved in this way.
Soil type exists only at the categorical data level.
Consequently, there are no interpretable calculations possible. Additionally, the interaction of predictor variables cannot be imagined to be additive. The logical coherence of any characteristics is rather a conditional one. Heat and soil characteristics can become efficient not until sufficient assimilation products are available by radiation input. On the contrary, growth is presupposed for sufficient leaf surface to absorb luminous energy.