Modelling evapotranspiration of soilless cut roses 'Red Naomi' based on climatic and crop predictors

Patricia Malva Costa, Isabel Pôças and Mário Cunha
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Patricia Malva Costa: Faculdade de Ciências da Universidade do Porto, Porto, Portugal
Isabel Pôças: Faculdade de Ciências da Universidade do Porto, Porto, Portugal
Mário Cunha: Faculdade de Ciências da Universidade do Porto, Porto, Portugal

Horticultural Science, 2019, vol. 46, issue 2, 107-114

Abstract: 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.

Keywords: Rosa hybrida L.; greenhouse crop; irrigation management; weighting lysimeter; multiple stepwise regression (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlhor:v:46:y:2019:i:2:id:147-2017-hortsci

DOI: 10.17221/147/2017-HORTSCI

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