Spatiotemporal optimization of irrigation practices for winter wheat in China: Rationale, implications, and solutions

In recent years, the increasing frequency and intensity of drought events have posed significant challenges to wheat production in China, making irrigation a crucial measure to mitigate associated yield losses. However, the escalating issues of water scarcity and groundwater depletion necessitate the development of strategies to reduce water use while sustaining crop production. In this study, the Crop Water Deficit Index (CWDI) and Moisture Index (MI) were employed to assess the drought stress and its impact on yield within the main winter wheat production region of China. Subsequently, a multi-model ensemble approach integrated with a multi-objective optimization algorithm was utilized to propose the optimized irrigation strategies, which could enhance water use efficiency while attaining high yields. The results showed a continuous increase in drought stress over the past four decades, with the North Subregion (NS) and Huang-Huai Subregion (HHS) experienced more severe drought stress, while drought stress in the Middle-Lower Reaches of Yangzi River Subregion (MYS) increased the most. Drought stress was most severe during the jointing to heading period; furthermore, the greatest increase in drought stress was also observed during this period. Over the past four decades, due to the intensification of drought stress, winter wheat yield in China has been declining at a rate of 0.36 % per year. Compared to the irrigation practices of farmers, the optimal irrigation practices not only increased the wheat yield, water use efficiency (WUE), and irrigation water use efficiency (IWUE) by 468–5034 kg·ha −1 , 1–13 kg·ha −1 ·mm −1 , and 1–30 kg·ha −1 ·mm −1 , respectively, but also reduced the irrigation amount and frequency by 4–118 mm and 0–2 times, respectively. The findings offer a method for quantitatively predicting and warning of the impacts of drought stress, and meanwhile support the formulation of irrigation strategies that maximize crop yield and water use efficiency and reducing water consumption in China. • The North and Huang-Huai Subregions were particularly affected by drought stress. • Drought events in the Middle-Lower Reaches of Yangzi River Subregion increased mostly. • Wheat was more affected by drought stress during the jointing to heading period. • The yield loss due to drought stress over the past four decades was 0.36 % per year. • Optimal irrigation scenarios to increase yield and reduce water consumption were designed.

Authors

Institutions

Publication Details

Journal
Agricultural Water Management
Published
2025-01-09
DOI
https://doi.org/10.1016/j.agwat.2025.109297
Citations
3
Primary Topic
Climate change impacts on agriculture
Type
article
Field-Weighted Citation Impact
9.08

Funders

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

Spatiotemporal optimization of irrigation practices for winter wheat in China: Rationale, implications, and solutions

Weixing Cao, Shuodan Huang, Weihao Qian, Junning Tian et al.
3 citations
Agricultural Water Management
Climate change impacts on agriculture
9.08
article

Spatiotemporal optimization of irrigation practices for winter wheat in China: Rationale, implications, and solutions

Weixing Cao, Shuodan Huang, Weihao Qian, Junning Tian, Xiaolei Qiu, Liang Tang, Luchen Zhang, Liujun Xiao, Bing Liu, Leilei Liu, Yuan Cao, Yan Zhu
article en
3 citations

Abstract

In recent years, the increasing frequency and intensity of drought events have posed significant challenges to wheat production in China, making irrigation a crucial measure to mitigate associated yield losses. However, the escalating issues of water scarcity and groundwater depletion necessitate the development of strategies to reduce water use while sustaining crop production. In this study, the Crop Water Deficit Index (CWDI) and Moisture Index (MI) were employed to assess the drought stress and its impact on yield within the main winter wheat production region of China. Subsequently, a multi-model ensemble approach integrated with a multi-objective optimization algorithm was utilized to propose the optimized irrigation strategies, which could enhance water use efficiency while attaining high yields. The results showed a continuous increase in drought stress over the past four decades, with the North Subregion (NS) and Huang-Huai Subregion (HHS) experienced more severe drought stress, while drought stress in the Middle-Lower Reaches of Yangzi River Subregion (MYS) increased the most. Drought stress was most severe during the jointing to heading period; furthermore, the greatest increase in drought stress was also observed during this period. Over the past four decades, due to the intensification of drought stress, winter wheat yield in China has been declining at a rate of 0.36 % per year. Compared to the irrigation practices of farmers, the optimal irrigation practices not only increased the wheat yield, water use efficiency (WUE), and irrigation water use efficiency (IWUE) by 468–5034 kg·ha −1 , 1–13 kg·ha −1 ·mm −1 , and 1–30 kg·ha −1 ·mm −1 , respectively, but also reduced the irrigation amount and frequency by 4–118 mm and 0–2 times, respectively. The findings offer a method for quantitatively predicting and warning of the impacts of drought stress, and meanwhile support the formulation of irrigation strategies that maximize crop yield and water use efficiency and reducing water consumption in China. • The North and Huang-Huai Subregions were particularly affected by drought stress. • Drought events in the Middle-Lower Reaches of Yangzi River Subregion increased mostly. • Wheat was more affected by drought stress during the jointing to heading period. • The yield loss due to drought stress over the past four decades was 0.36 % per year. • Optimal irrigation scenarios to increase yield and reduce water consumption were designed.

Agricultural Water ManagementVol. 308
Nanjing Agricultural University (CN)
National Natural Science Foundation of China, Jiangsu Science and Technology Department, Jiangsu Agricultural Science and Technology Independent Innovation Fund
Zero hunger
Openalex Percentile: Top 4%
Climate change impacts on agriculture
9.08
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.