Global Meta‐Analysis of Effects of Aerated Irrigation on Nitrogen Use Efficiency and Crop Yield

ABSTRACT Soil oxygen availability plays a critical role in regulating nitrogen (N) transformation processes. However, a comprehensive understanding of how aerated irrigation (AI) affects nitrogen use efficiency (NUE) across diverse environmental conditions and management practices remains lacking. A meta‐analysis and mixed‐effects models were used to evaluate the overall effects of climate parameters, soil properties, field management practices, and aeration management on crop yield, partial factor productivity of N (PFPN), NUE, and N recovery efficiency (RE), using 2429 datasets compiled from 156 studies. The PFPN, NUE, RE, and yield were 23.6% (CI: 21.5%–25.8%), 12.0% (CI: 8.3%–16.3%), 31.3% (CI: 22.8%–40.8%), and 18.6% (CI: 17.2%–19.7%) higher, respectively, under AI than under nonaerated irrigation (NAI). Under high rainfall conditions (mean annual precipitation [MAP] > 600 mm), PFPN and RE were 19.9% and 35.1% higher under AI, respectively. AI was most effective in temperate climates, greenhouse cultivation systems, and in soils with low organic matter content (< 10 g/kg) or acidic pH (pH < 6.5). The interaction among irrigation, N application, and the aeration indicates that AI is a suitable strategy for increasing crop productivity and NUE while reducing the environmental impacts of agricultural production. AI was beneficial with micro‐nanobubble aeration at a soil depth of 20 cm and a dissolved oxygen concentration of 10–20 g/L. The main factors influencing NUE were MAP, total N level, N application rate, mean annual temperature, and the aeration method. AI efficiency enhances crop productivity and NUE under a wide range of conditions. Applying optimal aeration parameters and leveraging the interactions among irrigation, N application rate, and aeration method provides a strategy for increasing agricultural sustainability. AI should be adopted under the recommended conditions to increase yield while minimizing N losses to the environment, thereby increasing the sustainability of intensive farming practices.

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Publication Details

Journal
Land Degradation and Development
Published
2026-03-11
DOI
https://doi.org/10.1002/ldr.70550
Primary Topic
Plant responses to water stress
Type
article
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article

Global Meta‐Analysis of Effects of Aerated Irrigation on Nitrogen Use Efficiency and Crop Yield

Hongjun Lei, Shaobo Wang, Muhammad Zain
Land Degradation and Development
Plant responses to water stress
article

Global Meta‐Analysis of Effects of Aerated Irrigation on Nitrogen Use Efficiency and Crop Yield

Hongjun Lei, Shaobo Wang, Muhammad Zain
article en

Abstract

ABSTRACT Soil oxygen availability plays a critical role in regulating nitrogen (N) transformation processes. However, a comprehensive understanding of how aerated irrigation (AI) affects nitrogen use efficiency (NUE) across diverse environmental conditions and management practices remains lacking. A meta‐analysis and mixed‐effects models were used to evaluate the overall effects of climate parameters, soil properties, field management practices, and aeration management on crop yield, partial factor productivity of N (PFPN), NUE, and N recovery efficiency (RE), using 2429 datasets compiled from 156 studies. The PFPN, NUE, RE, and yield were 23.6% (CI: 21.5%–25.8%), 12.0% (CI: 8.3%–16.3%), 31.3% (CI: 22.8%–40.8%), and 18.6% (CI: 17.2%–19.7%) higher, respectively, under AI than under nonaerated irrigation (NAI). Under high rainfall conditions (mean annual precipitation [MAP] > 600 mm), PFPN and RE were 19.9% and 35.1% higher under AI, respectively. AI was most effective in temperate climates, greenhouse cultivation systems, and in soils with low organic matter content (< 10 g/kg) or acidic pH (pH < 6.5). The interaction among irrigation, N application, and the aeration indicates that AI is a suitable strategy for increasing crop productivity and NUE while reducing the environmental impacts of agricultural production. AI was beneficial with micro‐nanobubble aeration at a soil depth of 20 cm and a dissolved oxygen concentration of 10–20 g/L. The main factors influencing NUE were MAP, total N level, N application rate, mean annual temperature, and the aeration method. AI efficiency enhances crop productivity and NUE under a wide range of conditions. Applying optimal aeration parameters and leveraging the interactions among irrigation, N application rate, and aeration method provides a strategy for increasing agricultural sustainability. AI should be adopted under the recommended conditions to increase yield while minimizing N losses to the environment, thereby increasing the sustainability of intensive farming practices.

Land Degradation and Development
North China University of Water Resources and Electric Power (CN)
Zero hunger
Openalex Percentile: Top 25%
Plant responses to water stress
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