Cited by 1,878Irrigation Practices and Water ManagementClimate change impacts on agriculturePlant Water Relations and Carbon Dynamics

AquaCrop—The FAO Crop Model to Simulate Yield Response to Water: I. Concepts and Underlying Principles

Steduto, Pasquale, Hsiao, Theodore C., Raes, Dirk, Fereres, Elias·2009·Agronomy Journal

Abstract

This article introduces the FAO crop model AquaCrop. It simulates attainable yields of major herbaceous crops as a function of water consumption under rainfed, supplemental, deficit, and full irrigation conditions. The growth engine of AquaCrop is water‐driven , in that transpiration is calculated first and translated into biomass using a conservative, crop‐specific parameter: the biomass water productivity, normalized for atmospheric evaporative demand and air CO 2 concentration. The normalization is to make AquaCrop applicable to diverse locations and seasons. Simulations are performed on thermal time, but can be on calendar time, in daily time‐steps. The model uses canopy ground cover instead of leaf area index (LAI) as the basis to calculate transpiration and to separate out soil evaporation from transpiration. Crop yield is calculated as the product of biomass and harvest index (HI). At the start of yield formation period, HI increases linearly with time after a lag phase, until near physiological maturity. Other than for the yield, there is no biomass partitioning into the various organs. Crop responses to water deficits are simulated with four modifiers that are functions of fractional available soil water modulated by evaporative demand, based on the differential sensitivity to water stress of four key plant processes: canopy expansion, stomatal control of transpiration, canopy senescence, and HI. The HI can be modified negatively or positively, depending on stress level, timing, and canopy duration. AquaCrop uses a relatively small number of parameters (explicit and mostly intuitive) and attempts to balance simplicity, accuracy, and robustness. The model is aimed mainly at practitioner‐type end‐users such as those working for extension services, consulting engineers, governmental agencies, nongovernmental organizations, and various kinds of farmers associations. It is also designed to fit the need of economists and policy specialists who use simple models for planning and scenario analysis.

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Crossref · 10.2134/agronj2008.0139s

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Authors
Steduto, P., Hsiao, T. C., Raes, D., & Fereres, E.
Affiliations
  • Food and Agriculture Organization of the United Nations (IT)
  • University of California, Davis (US)
  • KU Leuven (BE)
  • Consejo Superior de Investigaciones Científicas (ES)
Corresponding author
Steduto, Pasquale
Venue
Agronomy Journal
Publisher
Wiley
Published
2009-05
Volume
101
Issue
3
Pages
426-437
ISSN
  • 0002-1962 (ISSN-L)
  • 1435-0645
OpenAlex
W1994975670
Cited by
1,878
References
1
Citations by year
2026: 198 · 2025: 185 · 2024: 143 · 2023: 147 · 2022: 163 · 2021: 170 · 2020: 141 · 2019: 126 · 2018: 110 · 2017: 94 · 2016: 83 · 2015: 78 · 2014: 84 · 2013: 56 · 2012: 39
FWCI
52.50
Type
journal article
Language
en
Open access
closed
Locations
  • Agronomy Journal (publishedVersion)
  • DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion)
Funders
  • CGIAR Water and Food Challenging
  • ICARDA
Topics
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Irrigation Practices and Water Management
  • Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Climate change impacts on agriculture
  • Physical Sciences › Environmental Science › Global and Planetary Change › Plant Water Relations and Carbon Dynamics
Keywords
AquaCrop model, crop yield simulation, drought stress, transpiration, evaporative demand, harvest index, stomatal regulation, soil evaporation, deficit irrigation, rainfed agriculture, supplemental irrigation, thermal time, canopy senescence, crop growth simulation, water stress

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