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Optimization of the nitrogen fertilizer schedule of maize under drip irrigation in Jilin, China, based on DSSAT and GA

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  • Bai, Yu
  • Gao, Jinhua

Abstract

Determining how to optimize a scientific and efficient farmland nitrogen (N) fertilizer schedule by combining existing technology is currently a hot topic. Maize is one of the major crops in China, and enhancing the yield of maize is conducive to ensuring China's food security. In this study, the central region of Jilin Province was adopted as the research object, and a three-year (2014–2016) field experiment was performed. The data from 2014 were used to calibrate the DSSAT model, and the data from 2015 were used for validation. After calibration and validation, the DSSAT model and a genetic algorithm (GA) were used to optimize the N fertilizer schedule of maize under 20 years (1973–1992) of meteorological data for Changchun. The experimental data from 2016 were used to validate the results of the optimized N fertilizer schedule. As revealed from the results, the DSSAT model effectively simulated the growth and development of maize under drip irrigation and rain-fed methods in Changchun. The model was first calibrated based on the crop yield, phenological phases and soil moisture and N content data, and good agreement was achieved between the simulated and measured data in both the calibration and validation periods. In the calibration and validation periods, the normalized root mean square error (nRMSE) for grain yield was 1.45% and 1.61%, respectively. The total amount in the new N fertilizer schedule is 198 kg/ha, which is slightly higher than that in the traditional schedule (187.5 kg/ha), and the yield of maize in the proposed N fertilizer schedule was upregulated by 7–9% compared with the conventional N fertilization schedule in the experimental results for 2016. Through an analysis of economic benefits, drip irrigation is better than the rain-fed method, and the optimized N fertilization schedule will make the economic benefits more significant (8.4%–12.4% increase). Additionally, this method is easier to combine with remote sensing and weather forecasting, forming a real-time method of field management optimization schedule decision-making.

Suggested Citation

  • Bai, Yu & Gao, Jinhua, 2021. "Optimization of the nitrogen fertilizer schedule of maize under drip irrigation in Jilin, China, based on DSSAT and GA," Agricultural Water Management, Elsevier, vol. 244(C).
    • Handle: RePEc:eee:agiwat:v:244:y:2021:i:c:s0378377420321028
    DOI: 10.1016/j.agwat.2020.106555
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    1. Kandelous, Maziar M. & Simunek, Jirí, 2010. "Numerical simulations of water movement in a subsurface drip irrigation system under field and laboratory conditions using HYDRUS-2D," Agricultural Water Management, Elsevier, vol. 97(7), pages 1070-1076, July.
    2. Fan, Yaqiong & Ding, Risheng & Kang, Shaozhong & Hao, Xinmei & Du, Taisheng & Tong, Ling & Li, Sien, 2017. "Plastic mulch decreases available energy and evapotranspiration and improves yield and water use efficiency in an irrigated maize cropland," Agricultural Water Management, Elsevier, vol. 179(C), pages 122-131.
    3. Liu, Haijun & Wang, Xuming & Zhang, Xian & Zhang, Liwei & Li, Yan & Huang, Guanhua, 2017. "Evaluation on the responses of maize (Zea mays L.) growth, yield and water use efficiency to drip irrigation water under mulch condition in the Hetao irrigation District of China," Agricultural Water Management, Elsevier, vol. 179(C), pages 144-157.
    4. Liu, S. & Yang, J.Y. & Zhang, X.Y. & Drury, C.F. & Reynolds, W.D. & Hoogenboom, G., 2013. "Modelling crop yield, soil water content and soil temperature for a soybean–maize rotation under conventional and conservation tillage systems in Northeast China," Agricultural Water Management, Elsevier, vol. 123(C), pages 32-44.
    5. Kang, Yaohu & Chen, Ming & Wan, Shuqin, 2010. "Effects of drip irrigation with saline water on waxy maize (Zea mays L. var. ceratina Kulesh) in North China Plain," Agricultural Water Management, Elsevier, vol. 97(9), pages 1303-1309, September.
    6. Gheysari, Mahdi & Mirlatifi, Seyed Majid & Homaee, Mehdi & Asadi, Mohammad Esmaeil & Hoogenboom, Gerrit, 2009. "Nitrate leaching in a silage maize field under different irrigation and nitrogen fertilizer rates," Agricultural Water Management, Elsevier, vol. 96(6), pages 946-954, June.
    7. Wu, Dali & Xu, Xinxing & Chen, Yanling & Shao, Hui & Sokolowski, Eldad & Mi, Guohua, 2019. "Effect of different drip fertigation methods on maize yield, nutrient and water productivity in two-soils in Northeast China," Agricultural Water Management, Elsevier, vol. 213(C), pages 200-211.
    8. Liang, Hailing & Li, Fusheng & Nong, Mengling, 2013. "Effects of alternate partial root-zone irrigation on yield and water use of sticky maize with fertigation," Agricultural Water Management, Elsevier, vol. 116(C), pages 242-247.
    9. Jiang, Yiwen & Zhang, Lanhui & Zhang, Baoqing & He, Chansheng & Jin, Xin & Bai, Xiao, 2016. "Modeling irrigation management for water conservation by DSSAT-maize model in arid northwestern China," Agricultural Water Management, Elsevier, vol. 177(C), pages 37-45.
    10. Azad, Nasrin & Behmanesh, Javad & Rezaverdinejad, Vahid & Abbasi, Fariborz & Navabian, Maryam, 2018. "Developing an optimization model in drip fertigation management to consider environmental issues and supply plant requirements," Agricultural Water Management, Elsevier, vol. 208(C), pages 344-356.
    11. Li, Meng & Du, Yingji & Zhang, Fucang & Bai, Yungang & Fan, Junliang & Zhang, Jianghui & Chen, Shaoming, 2019. "Simulation of cotton growth and soil water content under film-mulched drip irrigation using modified CSM-CROPGRO-cotton model," Agricultural Water Management, Elsevier, vol. 218(C), pages 124-138.
    12. Yang, Kaijing & Wang, Fengxin & Shock, Clinton C. & Kang, Shaozhong & Huo, Zailin & Song, Na & Ma, Dan, 2017. "Potato performance as influenced by the proportion of wetted soil volume and nitrogen under drip irrigation with plastic mulch," Agricultural Water Management, Elsevier, vol. 179(C), pages 260-270.
    13. Zou, Haiyang & Fan, Junliang & Zhang, Fucang & Xiang, Youzhen & Wu, Lifeng & Yan, Shicheng, 2020. "Optimization of drip irrigation and fertilization regimes for high grain yield, crop water productivity and economic benefits of spring maize in Northwest China," Agricultural Water Management, Elsevier, vol. 230(C).
    14. Dokoohaki, Hamze & Gheysari, Mahdi & Mousavi, Sayed-Farhad & Zand-Parsa, Shahrokh & Miguez, Fernando E. & Archontoulis, Sotirios V. & Hoogenboom, Gerrit, 2016. "Coupling and testing a new soil water module in DSSAT CERES-Maize model for maize production under semi-arid condition," Agricultural Water Management, Elsevier, vol. 163(C), pages 90-99.
    15. Doltra, J. & Muñoz, P., 2010. "Simulation of nitrogen leaching from a fertigated crop rotation in a Mediterranean climate using the EU-Rotate_N and Hydrus-2D models," Agricultural Water Management, Elsevier, vol. 97(2), pages 277-285, February.
    16. Zheng, Huifang & Shao, Ruixin & Xue, Yanfang & Ying, Hao & Yin, Yulong & Cui, Zhenling & Yang, QingHua, 2020. "Water productivity of irrigated maize production systems in Northern China: A meta-analysis," Agricultural Water Management, Elsevier, vol. 234(C).
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    3. Shen, Hongzheng & Wang, Yue & Jiang, Kongtao & Li, Shilei & Huang, Donghua & Wu, Jiujiang & Wang, Yongqiang & Wang, Yangren & Ma, Xiaoyi, 2022. "Simulation modeling for effective management of irrigation water for winter wheat," Agricultural Water Management, Elsevier, vol. 269(C).
    4. Mohamadzade, Fahime & Gheysari, Mahdi & Eshghizadeh, Hamidreza & Tabatabaei, Mahsa Sadat & Hoogenboom, Gerrit, 2022. "The effect of water and nitrogen on drip tape irrigated silage maize grown under arid conditions: Experimental and simulations," Agricultural Water Management, Elsevier, vol. 271(C).

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