Research on the Optimal Water and Fertilizer Scheme for Maize in a Typical Hydrological Year Based on the DSSAT Model

Maize is vital for global and Chinese food security. Yet, in Henan Province, a key maize-growing region in China, water scarcity, uneven rainfall, and inefficient irrigation and fertilization limit its yield and quality. This study combines a two-year field experiment (2023–2024) with the DSSAT model to optimize irrigation and fertilization for typical hydrological years (wet, normal, and dry). After calibration and validation with field data, the DSSAT model showed strong performance. Results indicate that optimal irrigation timing and volume vary with hydrological years: no irrigation is needed in wet years, one 30 mm irrigation at the tasseling (VT) stage in normal years, and three irrigations (total 90 mm) at the emergence (VE), jointing (VT), and grain filling (R2) stages in dry years. The optimal nitrogen fertilizer is 240 kg·ha−1 in water-rich and normal years and 180 kg·ha−1 in dry years. These optimized schemes can achieve 98–100% of maximum potential maize yields across hydrological years, offering practical insights for enhancing agricultural water and nutrient management in central Henan to support sustainable development and reduce environmental impacts.

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Publication Details

Journal
Agronomy
Published
2025-04-29
DOI
https://doi.org/10.3390/agronomy15051085
Citations
2
Primary Topic
Rice Cultivation and Yield Improvement
Type
article
Field-Weighted Citation Impact
3.50

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article

Research on the Optimal Water and Fertilizer Scheme for Maize in a Typical Hydrological Year Based on the DSSAT Model

Bifeng Cui, Zhao Yan, Yu Ding, Yongqing Wang et al.
2 citations
Agronomy
Rice Cultivation and Yield Improvement
3.50
article

Research on the Optimal Water and Fertilizer Scheme for Maize in a Typical Hydrological Year Based on the DSSAT Model

Bifeng Cui, Zhao Yan, Yu Ding, Yongqing Wang, Lei Liu, Jianqin Ma
article en
2 citations

Abstract

Maize is vital for global and Chinese food security. Yet, in Henan Province, a key maize-growing region in China, water scarcity, uneven rainfall, and inefficient irrigation and fertilization limit its yield and quality. This study combines a two-year field experiment (2023–2024) with the DSSAT model to optimize irrigation and fertilization for typical hydrological years (wet, normal, and dry). After calibration and validation with field data, the DSSAT model showed strong performance. Results indicate that optimal irrigation timing and volume vary with hydrological years: no irrigation is needed in wet years, one 30 mm irrigation at the tasseling (VT) stage in normal years, and three irrigations (total 90 mm) at the emergence (VE), jointing (VT), and grain filling (R2) stages in dry years. The optimal nitrogen fertilizer is 240 kg·ha−1 in water-rich and normal years and 180 kg·ha−1 in dry years. These optimized schemes can achieve 98–100% of maximum potential maize yields across hydrological years, offering practical insights for enhancing agricultural water and nutrient management in central Henan to support sustainable development and reduce environmental impacts.

AgronomyVol. 15(5)
North China University of Water Resources and Electric Power (CN)
Education Department of Henan Province, Science and Technology Department of Henan Province
Openalex Percentile: Top 9%
Rice Cultivation and Yield Improvement
3.50
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Research on the Optimal Water and Fertilizer Scheme for Maize in a Typical Hydrological Year Based on the DSSAT Model — Bifeng Cui, Zhao Yan, et al. · Agronomy (2025) | TGRS Research Map | TGRS