Assessing the Impact of Reference Evapotranspiration Models on Decision Support Systems for Irrigation
Institute for Vegetable Crops, Hochschule Geisenheim University, Von-Lade-Str. 1, 65366 Geisenheim, Germany
Author to whom correspondence should be addressed.
Received: 26 September 2018 / Revised: 2 November 2018 / Accepted: 19 November 2018 / Published: 28 November 2018
Reference evapotranspiration (
) is a major estimator for crop water requirements predicted by decision support systems for irrigation. However, the impact of different
s on the predicted amount of water supply and counts of irrigation events has not been evaluated. Simulations of the Geisenheim Irrigation Scheduling (GS) for vegetable crops with two different
, were evaluated to assess exemplarily the impact of
s. The sensitivity of both
s to local climate conditions was characterized through a random forest analysis, and a linear regression model was used to adjust the original GS by adapting
-values to the exchange
. For assessing the outcomes of GS irrigation decision, simulations of 173 individual cropping cycles including six vegetable crops over eight years were conducted. After adjusting P2-
-values to FAO56-
-values, there was no impact of the
-model on the practical irrigation scheduling with GS. Finally, we discuss that any
-model, if adjusted accordingly, might have little impact on similar irrigation systems and provide a method to exchange
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MDPI and ACS Style
Olberz, M.; Kahlen, K.; Zinkernagel, J. Assessing the Impact of Reference Evapotranspiration Models on Decision Support Systems for Irrigation. Horticulturae 2018, 4, 49.
Olberz M, Kahlen K, Zinkernagel J. Assessing the Impact of Reference Evapotranspiration Models on Decision Support Systems for Irrigation. Horticulturae. 2018; 4(4):49.
Olberz, Matthias; Kahlen, Katrin; Zinkernagel, Jana. 2018. "Assessing the Impact of Reference Evapotranspiration Models on Decision Support Systems for Irrigation." Horticulturae 4, no. 4: 49.
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