Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 558352
Title Irrigation, crop stress and drainage reduction under uncertainty: A scenario study
Author(s) Mondaca-Duarte, F.D.; Mourik, S. van; Balendonck, J.; Voogt, W.; Heinen, M.; Henten, E.J. van
Source Agricultural Water Management 230 (2020). - ISSN 0378-3774
DOI https://doi.org/10.1016/j.agwat.2019.105990
Department(s) Farm Technology
GTB Tuinbouw Technologie
GTB Gewasgez. Bodem en Water
Soil, Water and Land Use
Publication type Refereed Article in a scientific journal
Publication year 2020
Keyword(s) Evapotranspiration - Hydraulic conductivity - Monte Carlo - Richards equation - Uncertainty
Abstract

Two thirds of human water use is linked to agricultural practices including crop irrigation. Furthermore, excess irrigation leads to drainage problems. For this reason, reduced irrigation strategies need to be implemented to protect water resources. However, low irrigation may lead to crop water stress. A fast and inexpensive way to predict the necessary amount of irrigation required is by a model-based approach. With this approach, it is possible to explore the relation between irrigation, crop water stress and drainage. However, parameter uncertainty can reduce prediction accuracy. Therefore, the aims of this research were: (1) to develop and test a methodology that allows the analysis of uncertainty sources in irrigation strategies (2) to identify how much irrigation can be reduced while maintaining a low risk of crop stress, and (3) to explore the influence of uncertainty in soil parameters and evapotranspiration on model predictions. Results from a realistic case considered in this study indicated that, while maintaining a low risk of crop stress (<1 %), it is possible to reduce drainage (by 88 %) and water use (22 %) for a conventional irrigation strategy. This reduction is dependent on the type of risk aversion strategy and is specific for a case scenario where variations are certain.

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