Optimization of Maize Irrigation Strategies in the Middle Reaches Irrigation Area of the Heihe River Using a Differential Evolution Algorithm DOI Open Access

Lige Jia,

Bo Zhang, Yanqiang Cui

et al.

Water, Journal Year: 2024, Volume and Issue: 16(24), P. 3561 - 3561

Published: Dec. 11, 2024

Optimizing maize irrigation strategies is essential for improving water use efficiency and crop yields in arid regions. However, limited quantitative research exists on these optimizations. This study focuses the Heihe River Basin China, aiming to (1) optimize using a differential evolution (DE) algorithm integrated with AquaCrop model remote sensing data; (2) compare DE algorithm’s performance traditional Nelder–Mead (fmin) regarding yield improvement use; (3) assess benefits of different under availability. Covering 22 management zones Zhangye City, Gansu Province, utilized soil, weather, data from Google Earth Engine drive model. Results indicate that achieved higher simulated yields, increasing by 0.5 1 t/ha average compared fmin algorithm, albeit 30% rise usage. The integration both algorithms facilitates development tailored strategies, providing scientific foundation sustainable agricultural management. These findings can guide efficient plans region similar systems.

Language: Английский

Tillage effects on maize yield, N use efficiency and GHG emissions under parallel N application in Northwest China DOI
Haoyang Wu,

Linling Ran,

Junqiang Wang

et al.

Field Crops Research, Journal Year: 2025, Volume and Issue: 322, P. 109735 - 109735

Published: Jan. 5, 2025

Language: Английский

Citations

0
Effects and assessment of the combined application of biogas slurry and chemical fertilizers on greenhouse tomato growth, yield, and soil quality DOI Creative Commons
Qinglin Sa, Jian Zheng, Ke Zhang

et al.

Scientia Horticulturae, Journal Year: 2025, Volume and Issue: 344, P. 114113 - 114113

Published: March 1, 2025

Language: Английский

Citations

0
Research on the Optimal Water and Fertilizer Scheme for Maize in a Typical Hydrological Year Based on the DSSAT Model DOI Creative Commons

Jianqin Ma,

Yongqing Wang,

Lei Liu

et al.

Agronomy, Journal Year: 2025, Volume and Issue: 15(5), P. 1085 - 1085

Published: April 29, 2025

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

Language: Английский

Citations

0
Optimization of Maize Irrigation Strategies in the Middle Reaches Irrigation Area of the Heihe River Using a Differential Evolution Algorithm DOI Open Access

Lige Jia,

Bo Zhang, Yanqiang Cui

et al.

Water, Journal Year: 2024, Volume and Issue: 16(24), P. 3561 - 3561

Published: Dec. 11, 2024

Optimizing maize irrigation strategies is essential for improving water use efficiency and crop yields in arid regions. However, limited quantitative research exists on these optimizations. This study focuses the Heihe River Basin China, aiming to (1) optimize using a differential evolution (DE) algorithm integrated with AquaCrop model remote sensing data; (2) compare DE algorithm’s performance traditional Nelder–Mead (fmin) regarding yield improvement use; (3) assess benefits of different under availability. Covering 22 management zones Zhangye City, Gansu Province, utilized soil, weather, data from Google Earth Engine drive model. Results indicate that achieved higher simulated yields, increasing by 0.5 1 t/ha average compared fmin algorithm, albeit 30% rise usage. The integration both algorithms facilitates development tailored strategies, providing scientific foundation sustainable agricultural management. These findings can guide efficient plans region similar systems.

Language: Английский

Citations

1