Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 429

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Validating the FAO AquaCrop Model for Irrigated and Water Deficient Field Maize

Heng, Lee Kheng, Hsiao, Theodore, Evett, Steve, Howell, Terry, Steduto, Pasquale·2009·Agronomy Journal

Abstract

Accurate crop development models are important tools in evaluating the effects of water deficits on crop yield or productivity. The FAO AquaCrop model predicts crop productivity, water requirement, and water use efficiency (WUE) under water‐limiting conditions. A set of conservative parameters [calibrated and validated for maize (Zea mays L.) in a prior study and considered applicable to a wide range of conditions and not specific to a given maize cultivar] were used to further evaluate the performance of AquaCrop model for maize using data from three studies performed under diverse environmental conditions: Bushland, TX; Gainesville, FL; and Zaragoza, Spain. The three locations were characterized by the extraordinarily high evapotranspiration (ET) and wind speed in the Bushland study; rainy weather and sandy soil in the Gainesville study; and the semiarid conditions in the Zaragoza study. The model was able to simulate the crop water use (ET) under very high ET and wind conditions. Furthermore, the model performed satisfactorily for the growth of aboveground biomass, grain yield, and canopy cover (CC) in the non‐water‐stress treatments and mild stress conditions, but it was less satisfactory in simulating severe water‐stress treatments, especially when stress occurred during senescence. The ease of use of the AquaCrop model, the low requirement of input parameters, and its sufficient degree of simulation accuracy make it a valuable tool for estimating crop productivity under rainfed conditions, supplementary and deficit irrigation, and on‐farm water management strategies for improving the efficiency of water use in agriculture.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2134/agronj2008.0029xs

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Cited by

See all 429

Metadata

Authors
Heng, L. K., Hsiao, T., Evett, S., Howell, T., & Steduto, P.
Venue
Agronomy Journal
Publisher
Wiley
Published
2009-05
Volume
101
Issue
3
Pages
488-498
ISSN
  • 0002-1962 (ISSN-L)
  • 1435-0645
OpenAlex
W2055217093
Cited by
429
References
3
FWCI
24.76
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Validating the FAO AquaCrop Model for Irrigated and Water Deficient Field Maize. https://app.cochat.ai/papers/10.2134/agronj2008.0029xs
The paper
Heng, L. K., Hsiao, T., Evett, S., Howell, T., & Steduto, P. (2009). Validating the FAO AquaCrop Model for Irrigated and Water Deficient Field Maize. Agronomy Journal. https://doi.org/10.2134/agronj2008.0029xs

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.