Articles
APPLICATION OF TEMPERATURE SUMS IN THE TIMING OF PRODUCTION OF CRISP LETTUCE
Article number
198_27
Pages
217 – 226
Language
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.
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.
Authors
S. Kristensen, E. Friis, K. Henriksen, S.A. Mikkelsen
Keywords
Online Articles (39)
