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| Authors: | I. Seginer, M. Raviv |
Abstract:
A method is described, which can be used to estimate the most economical night-time greenhouse temperature for a particular crop.
The method requires growth data, engineering data and economic data to produce a solution.
An example is presented to illustrate the method: Growth-chamber data for tomato seedlings are used to obtain the sensitivity of that crop to deviations from the physiologically optimal night temperature.
The available data seem to indicate that a 12 K deviation from the optimum results in a yield decrease of 20%. The recommended night temperature in the example is about half-way between the physiological optimum and the outside temperature.
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