Optimal Water Management Improves Irrigation Efficiency While Modulating Reactive Nitrogen Losses: A Global Meta‐Analysis

ABSTRACT Irrigation plays an essential role for crop production, but unreasonable irrigation is accelerating the depletion of water resources and exacerbating nitrogen (N) losses. Optimal water management (OWM) is critical for improving crop yield and decreasing N losses. However, few studies comprehensively estimate the effects of different OWM practices (i.e., optimal irrigation rate, time, and technology) on crop yield and N losses, and their water saving potentials. Here, we conducted a global meta‐analysis of 562 observations in 103 sites to estimate these effects. Under the current sample support, we found that OWM increased crop yield and irrigation water productivity (IWP) by 2.7% and 19.1%, respectively, while reducing irrigation water use (IWU) by 21.6%. OWM tended to reduce ammonia (NH 3 ) volatilization and nitrate (NO 3 − ) leaching in several crop‐indicator combinations, whereas some optimal irrigation rate and time practices increased nitrous oxide (N 2 O) emission. A simplified scenario analysis suggested that broader adoption of OWM could reduce IWU from 1372 to 1075 km 3 , corresponding to an illustrative water‐saving estimate of 297 km 3 . Our analysis could provide theoretical and technical support for water management in coordinating crop production and N losses.

Authors

Institutions

Publication Details

Journal
Food and Energy Security
Published
2026-08-27
DOI
https://doi.org/10.1002/fes3.70284
Primary Topic
Irrigation Practices and Water Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Optimal Water Management Improves Irrigation Efficiency While Modulating Reactive Nitrogen Losses: A Global Meta‐Analysis

Xingshuai Tian, Min Jiang, Mingyi Fan, Walid Hassan Elgamal et al.
Food and Energy Security
Irrigation Practices and Water Management
article

Optimal Water Management Improves Irrigation Efficiency While Modulating Reactive Nitrogen Losses: A Global Meta‐Analysis

Xingshuai Tian, Min Jiang, Mingyi Fan, Walid Hassan Elgamal, Jinmiao Lin
article en

Abstract

ABSTRACT Irrigation plays an essential role for crop production, but unreasonable irrigation is accelerating the depletion of water resources and exacerbating nitrogen (N) losses. Optimal water management (OWM) is critical for improving crop yield and decreasing N losses. However, few studies comprehensively estimate the effects of different OWM practices (i.e., optimal irrigation rate, time, and technology) on crop yield and N losses, and their water saving potentials. Here, we conducted a global meta‐analysis of 562 observations in 103 sites to estimate these effects. Under the current sample support, we found that OWM increased crop yield and irrigation water productivity (IWP) by 2.7% and 19.1%, respectively, while reducing irrigation water use (IWU) by 21.6%. OWM tended to reduce ammonia (NH 3 ) volatilization and nitrate (NO 3 − ) leaching in several crop‐indicator combinations, whereas some optimal irrigation rate and time practices increased nitrous oxide (N 2 O) emission. A simplified scenario analysis suggested that broader adoption of OWM could reduce IWU from 1372 to 1075 km 3 , corresponding to an illustrative water‐saving estimate of 297 km 3 . Our analysis could provide theoretical and technical support for water management in coordinating crop production and N losses.

Food and Energy SecurityVol. 15(5)
Rural Resources (US), Field Crops Research Institute (VN), Yangzhou University (CN)
National Natural Science Foundation of China, Yangzhou University, National Key Research and Development Program of China
Clean water and sanitation
Openalex Percentile: Top 13%
Irrigation Practices and Water Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.