This study aimed to estimate the daily crop evapotranspiration (ETc) of soilless cut ‘Red Naomi’ roses, cultivated
in a commercial glass greenhouse, using climatic and crop predictors. A multiple stepwise regression technique was
applied for estimating ETc using the daily relative humidity, stem leaf area and number of leaves of the bended stems.
The model explained 90% of the daily ETc variability (R2 = 0.90, n = 33, P < 0.0001) measured by weighing lysimeters.
The mean relative difference between the observed and the estimated daily ETc was 9.1%. The methodology revealed a
high accuracy and precision in the estimation of daily ETc
