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Research on the Coupling Effect of Water and Fertilizer on Maize under Multi-Objective Conditions and Its Application Scenarios

Author

Listed:
  • Jianqin Ma

    (School of Water Conservaney, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Lansong Liu

    (School of Water Conservaney, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Bifeng Cui

    (School of Water Conservaney, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
    Henan Key Laboratory of Water Pollution Control and Rehabilitation Technology, Henan University of Urban Construction, Pingdingshan 467036, China)

  • Xiuping Hao

    (School of Water Conservaney, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Qinxue He

    (Hydrographic Bureau of the Yangtze River Water Resources Commission, Ministry of Water Resources, Wuhan 430000, China)

  • Jiangshan Yang

    (School of Water Conservaney, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Xiaolong Xu

    (School of Water Conservaney, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

Abstract

It is of great significance to establish maize water and fertilizer application schemes under multi-objective conditions to improve water- and fertilizer-use efficiency, reduce agricultural greenhouse gas emissions, and promote sustainable agricultural developments. This study aims to analyze the effects of different water and fertilizer combinations on the summer maize yield, water-use efficiency, and field N 2 O flux and to determine the optimal water and fertilizer application scheme for summer maize. Field experiments were conducted in 2023, with a total of 15 different combinations of upper and lower limits of irrigation and fertilizer levels. A binary quadratic regression model based on the yield, water-use efficiency, and N 2 O emission flux was constructed. The fast non-dominated sorting genetic algorithm III (NSGA-III) was employed for verification and solution finding to simulate the optimal water and fertilizer regime. The results indicate that with increasing water and fertilizer applications, the field N 2 O emission flux gradually increases. The summer maize yield and water-use efficiency show a trend of initially increasing and then decreasing. Compared to fertilization, irrigation has a more significant impact on the summer maize yield and water-use efficiency, while fertilization notably influences the field N 2 O emission flux to a greater extent. Using NSGA-III, the simulated optimal water and fertilizer combination showed no significant difference in the yield and water-use efficiency compared to the actual optimal water–fertilizer irrigation combination (moderate water and moderate fertilizer), with a 3.12% increase in the field N 2 O emission flux, a 15.30% decrease in the irrigation amount, and an 11.90% reduction in the fertilizer application. In conclusion, employing the optimized water and fertilizer combination can reduce agricultural irrigation and fertilization while ensuring crop yields, providing theoretical support for the green, efficient, and sustainable development of the summer maize industry.

Suggested Citation

  • Jianqin Ma & Lansong Liu & Bifeng Cui & Xiuping Hao & Qinxue He & Jiangshan Yang & Xiaolong Xu, 2024. "Research on the Coupling Effect of Water and Fertilizer on Maize under Multi-Objective Conditions and Its Application Scenarios," Sustainability, MDPI, vol. 16(13), pages 1-15, June.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:13:p:5615-:d:1426340
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    References listed on IDEAS

    as
    1. Liu, Xiao & Li, Mo & Guo, Ping & Zhang, Zhongxue, 2019. "Optimization of water and fertilizer coupling system based on rice grain quality," Agricultural Water Management, Elsevier, vol. 221(C), pages 34-46.
    2. Jianqin Ma & Jiangshan Yang & Xiuping Hao & Bifeng Cui & Shuoguo Yang, 2023. "Dynamic Simulation Model of Channel Leakage Based on Multiple Regression," Sustainability, MDPI, vol. 15(20), pages 1-13, October.
    3. Zhang, Fan & Chen, Mengru & Fu, Jintao & Zhang, Xiangzhu & Li, Yuan & Shao, Yating & Xing, Yingying & Wang, Xiukang, 2023. "Coupling effects of irrigation amount and fertilization rate on yield, quality, water and fertilizer use efficiency of different potato varieties in Northwest China," Agricultural Water Management, Elsevier, vol. 287(C).
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    1. Jianqin Ma & Xiaolong Xu & Bifeng Cui & Xiuping Hao & Jiangshan Yang & Shuoguo Yang & Lansong Liu, 2024. "Multivariate Regression-Based Dynamic Simulation Modeling of Cumulative Carbon Emissions from Fields," Sustainability, MDPI, vol. 16(22), pages 1-13, November.

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