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Deficit irrigation as an on-farm strategy to maximize crop water productivity in dry areas

Open access
Geerts, Sam, Raes, Dirk·2009·Agricultural Water Management

Abstract

Deficit irrigation (DI) has been widely investigated as a valuable and sustainable production strategy in dry regions. By limiting water applications to drought-sensitive growth stages, this practice aims to maximize water productivity and to stabilize – rather than maximize – yields. We review selected research from around the world and we summarize the advantages and disadvantages of deficit irrigation. Research results confirm that DI is successful in increasing water productivity for various crops without causing severe yield reductions. Nevertheless, a certain minimum amount of seasonal moisture must be guaranteed. DI requires precise knowledge of crop response to drought stress, as drought tolerance varies considerably by genotype and phenological stage. In developing and optimizing DI strategies, field research should therefore be combined with crop water productivity modeling.

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Crossref · 10.1016/j.agwat.2009.04.009

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Metadata

Authors
Geerts, S., & Raes, D.
Venue
Agricultural Water Management
Publisher
Elsevier BV
Published
2009-09
Volume
96
Issue
9
Pages
1275-1284
ISSN
0378-3774 (ISSN-L)
OpenAlex
W2098428772
Cited by
1,095
References
1
FWCI
42.37
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Deficit irrigation as an on-farm strategy to maximize crop water productivity in dry areas. https://app.cochat.ai/papers/10.1016/j.agwat.2009.04.009
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Geerts, S., & Raes, D. (2009). Deficit irrigation as an on-farm strategy to maximize crop water productivity in dry areas. Agricultural Water Management. https://doi.org/10.1016/j.agwat.2009.04.009

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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.