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| Authors: | S. Kristensen, E. Friis, K. Henriksen, S.A. Mikkelsen |
Abstract:
Statistical models for predicting the date of harvest of crisp lettuce were developed and evaluated using data from variety trials.
The prediction criteria applied were number-of-days from planting to harvest and corresponding temperature sums with base temperature 4.0 °C. For practical applications the smallest error of prediction (3.3 days) was obtained with a model based on a linear relation between temperature sum requirement and planting date.
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