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Multi-objective optimization of soil water-nitrogen management practice and seeding rate for sustainable soybean production on the Loess Plateau of China

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  • Liao, Zhenqi
  • Ding, Xiaohui
  • Zhang, Hongxin
  • Zhang, Hui
  • Li, Zhijun
  • Zhang, Fucang
  • Fan, Junliang

Abstract

Improved soil and crop management practices are essential for enhancing soybean production, but a comprehensive evaluation of agronomic performance, economic benefit and environmental sustainability associated with various soil and crop management practices is still missing. Field experiments were performed on soybean using a split-split plot design on the Loess Plateau of China in 2019 and 2020, with soil water management practice as the main plot (NM: flat cultivation; RF: ridge-furrow cultivation with film mulch; RW: ridge-furrow cultivation with film mulch and supplemental irrigation), nitrogen rate as the sub-plot (N30: 30 kg N ha−1 and N60: 60 kg N ha−1) and seeding rate as the sub-sub plot (D16: 160,000 plants ha−1 and D32: 320,000 plants ha−1). A multi-level multi-objective fuzzy comprehensive evaluation model was established for analysis. The results indicated that the soil water-nitrogen management practice and seeding rate (p < 0.01) as well as the interaction between nitrogen rate and seeding rate significantly (p < 0.01) affected the growth, photosynthetic capacity, grain yield and its components, seed quality, economic benefits and resource use efficiency of soybean. The RWN30D32 treatment achieved the highest ranking for multi-objective optimization in both growing seasons. Compared with the local management strategy (NMN60D16), RWN30D32 significantly (p < 0.05) increased the canopy photosynthetic capacity, biological yield, grain yield, seed protein yield, seed oil yield, net income, ratio of output over input costs, crop water productivity, partial factor productivity of nitrogen and radiation use efficiency by 22.8 %, 66.7 %, 35.9 %, 20.1 %, 23.9 %, 69.8 %, 28.4 %, 29.0 %, 171.8 % and 18.5 %, while it decreased the hundred-grain weight, number of pods, seed protein content, seed oil content, energy use efficiency and carbon productivity by 5.4 %, 34.2 %, 11.6 %, 8.8 %, 20.5 % and 69.0 %, respectively. In conclusion, the optimized management practice exhibited significant improvements agronomic performance, economic benefits and resources use efficiency, which was recommended for sustainable soybean production on the Loess Plateau of China.

Suggested Citation

  • Liao, Zhenqi & Ding, Xiaohui & Zhang, Hongxin & Zhang, Hui & Li, Zhijun & Zhang, Fucang & Fan, Junliang, 2025. "Multi-objective optimization of soil water-nitrogen management practice and seeding rate for sustainable soybean production on the Loess Plateau of China," Agricultural Water Management, Elsevier, vol. 312(C).
    • Handle: RePEc:eee:agiwat:v:312:y:2025:i:c:s0378377425001283
    DOI: 10.1016/j.agwat.2025.109414
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    1. Fu, Zhaopeng & Zhang, Ke & Zhang, Jiayi & Zhang, Yu & Cao, Qiang & Tian, Yongchao & Zhu, Yan & Cao, Weixing & Liu, Xiaojun, 2023. "Optimizing nitrogen application and sowing date can improve environmental sustainability and economic benefit in wheat-rice rotation," Agricultural Systems, Elsevier, vol. 204(C).
    2. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Jafari, Ali & Mohammadi, Ali, 2011. "Improving energy use efficiency of canola production using data envelopment analysis (DEA) approach," Energy, Elsevier, vol. 36(5), pages 2765-2772.
    3. Singh, Pritpal & Singh, Gurdeep & Sodhi, G.P.S. & Sharma, Sandeep, 2021. "Energy optimization in wheat establishment following rice residue management with Happy Seeder technology for reduced carbon footprints in north-western India," Energy, Elsevier, vol. 230(C).
    4. Zheng, Jing & Fan, Junliang & Zhou, Minghua & Zhang, Fucang & Liao, Zhenqi & Lai, Zhenlin & Yan, Shicheng & Guo, Jinjin & Li, Zhijun & Xiang, Youzhen, 2022. "Ridge-furrow plastic film mulching enhances grain yield and yield stability of rainfed maize by improving resources capture and use efficiency in a semi-humid drought-prone region," Agricultural Water Management, Elsevier, vol. 269(C).
    5. Gajić, Boško & Kresović, Branka & Tapanarova, Angelina & Životić, Ljubomir & Todorović, Mladen, 2018. "Effect of irrigation regime on yield, harvest index and water productivity of soybean grown under different precipitation conditions in a temperate environment," Agricultural Water Management, Elsevier, vol. 210(C), pages 224-231.
    6. Meng, Xiangping & Lian, Yanhao & Liu, Qi & Zhang, Peng & Jia, Zhikuan & Han, Qingfang, 2020. "Optimizing the planting density under the ridge and furrow rainwater harvesting system to improve crop water productivity for foxtail millet in semiarid areas," Agricultural Water Management, Elsevier, vol. 238(C).
    7. Lu Wu & Thomas H. Misselbrook & Liping Feng & Lianhai Wu, 2020. "Assessment of Nitrogen Uptake and Biological Nitrogen Fixation Responses of Soybean to Nitrogen Fertiliser with SPACSYS," Sustainability, MDPI, vol. 12(15), pages 1-17, July.
    8. Wang, Haidong & Cheng, Minghui & Zhang, Shaohui & Fan, Junliang & Feng, Hao & Zhang, Fucang & Wang, Xiukang & Sun, Lijun & Xiang, Youzhen, 2021. "Optimization of irrigation amount and fertilization rate of drip-fertigated potato based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation methods," Agricultural Water Management, Elsevier, vol. 256(C).
    9. Jia, Qianmin & Sun, Lefeng & Mou, Hongyan & Ali, Shahzad & Liu, Donghua & Zhang, Yan & Zhang, Peng & Ren, Xiaolong & Jia, Zhikuan, 2018. "Effects of planting patterns and sowing densities on grain-filling, radiation use efficiency and yield of maize (Zea mays L.) in semi-arid regions," Agricultural Water Management, Elsevier, vol. 201(C), pages 287-298.
    10. Wen Yin & Qiang Chai & Yao Guo & Fuxue Feng & Cai Zhao & Aizhong Yu & Falong Hu, 2016. "Analysis of Leaf Area Index Dynamic and Grain Yield Components of Intercropped Wheat and Maize under Straw Mulch Combined with Reduced Tillage in Arid Environments," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 8(4), pages 1-26, March.
    11. Mohtashami, Raham & Movahhedi Dehnavi, Mohsen & Balouchi, Hamidreza & Faraji, Hooshang, 2020. "Improving yield, oil content and water productivity of dryland canola by supplementary irrigation and selenium spraying," Agricultural Water Management, Elsevier, vol. 232(C).
    12. Nisar, Shahida & Benbi, Dinesh Kumar & Toor, Amardeep Singh, 2021. "Energy budgeting and carbon footprints of three tillage systems in maize-wheat sequence of north-western Indo-Gangetic Plains," Energy, Elsevier, vol. 229(C).
    13. Mondani, Farzad & Khani, Kianoosh & Honarmand, Saeid Jalali & Saeidi, Mohsen, 2019. "Evaluating effects of plant growth-promoting rhizobacteria on the radiation use efficiency and yield of soybean (Glycine max) under water deficit stress condition," Agricultural Water Management, Elsevier, vol. 213(C), pages 707-713.
    14. Guo, Shibo & Zhang, Zhentao & Guo, Erjing & Fu, Zhenzhen & Gong, Jingjin & Yang, Xiaoguang, 2022. "Historical and projected impacts of climate change and technology on soybean yield in China," Agricultural Systems, Elsevier, vol. 203(C).
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