IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i15p5921-d388489.html
   My bibliography  Save this article

Assessment of Nitrogen Uptake and Biological Nitrogen Fixation Responses of Soybean to Nitrogen Fertiliser with SPACSYS

Author

Listed:
  • Lu Wu

    (Sustainable Agriculture Systems, Rothamsted Research, North Wyke, Okehampton EX20 2SB, UK
    College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China)

  • Thomas H. Misselbrook

    (Sustainable Agriculture Systems, Rothamsted Research, North Wyke, Okehampton EX20 2SB, UK)

  • Liping Feng

    (College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China)

  • Lianhai Wu

    (Sustainable Agriculture Systems, Rothamsted Research, North Wyke, Okehampton EX20 2SB, UK)

Abstract

Chemical fertiliser nitrogen addition will inhibit biological nitrogen fixation (BNF) for soybean ( Glycine max [L.] Merr ) growth. The optimal balance of these two nitrogen input sources has been a key issue for sustainable development in Northeast China. We used the data collected from a four-year experiment with varied irrigation and fertiliser treatments from 2007 to 2010 to evaluate the SPACSYS (Soil-Plant-Atmosphere Continuum SYStem) model. The validated model was run to investigate the responses to different management practices in seed yield, BNF, protein yield and soil nitrogen budgets. Scenario testing showed average yield increase of 2.4–5.2% with additional 50–100 kg N/ha application. Irrigation at the reproductive stage improved seed yield in drier years with an increase of 12–33% compared with the rain-fed treatment. BNF was suppressed by fertiliser nitrogen application and drought stress with a decrease of 6–33% and 8–34%, respectively. The average nitrogen budget without fertilization indicated a deficit of 39 kg N/ha. To attain higher seed yield, applying fertiliser at 25–30 and 15–20 kg N/ha before sowing is advised in drier and wetter years, respectively. To achieve a higher seed nitrogen content, an application rate of 55–60 and 45–50 kg N/ha is recommended for drier and wetter years, respectively.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:15:p:5921-:d:388489
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/15/5921/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/15/5921/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wu, L. & McGechan, M.B. & McRoberts, N. & Baddeley, J.A. & Watson, C.A., 2007. "SPACSYS: Integration of a 3D root architecture component to carbon, nitrogen and water cycling—Model description," Ecological Modelling, Elsevier, vol. 200(3), pages 343-359.
    2. Li, Qu Sheng & Willardson, Lyman S. & Deng, Wei & Li, Xiu Jun & Liu, Chang Jiang, 2005. "Crop water deficit estimation and irrigation scheduling in western Jilin province, Northeast China," Agricultural Water Management, Elsevier, vol. 71(1), pages 47-60, January.
    3. 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.
    4. Wei, Zheng & Paredes, Paula & Liu, Yu & Chi, Wei Wei & Pereira, Luis S., 2015. "Modelling transpiration, soil evaporation and yield prediction of soybean in North China Plain," Agricultural Water Management, Elsevier, vol. 147(C), pages 43-53.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Katarzyna Panasiewicz & Agnieszka Faligowska & Grażyna Szymańska & Karolina Ratajczak & Hanna Sulewska, 2023. "Optimizing the Amount of Nitrogen and Seed Inoculation to Improve the Quality and Yield of Soybean Grown in the Southeastern Baltic Region," Agriculture, MDPI, vol. 13(4), pages 1-11, March.
    2. Quan, Hao & Ding, Dianyuan & Wu, Lihong & Qiao, Ruonan & Dong, Qin'ge & Zhang, Tibin & Feng, Hao & Wu, Lianhai & Siddique, Kadambot H.M., 2022. "Future climate change impacts on mulched maize production in an arid irrigation area," Agricultural Water Management, Elsevier, vol. 266(C).
    3. Elizabeth Tlou Mogale & Kwabena Kingsley Ayisi & Lawrence Munjonji & Yehenew Getachew Kifle, 2023. "Biological Nitrogen Fixation of Cowpea in a No-Till Intercrop under Contrasting Rainfed Agro-Ecological Environments," Sustainability, MDPI, vol. 15(3), pages 1-15, January.
    4. Elżbieta Radzka & Katarzyna Rymuza & Andrzej Wysokiński, 2022. "Weather Conditions and Biostimulants Influence Nitrogen Acquisition from Different Sources by Soybean Plants," Agriculture, MDPI, vol. 13(1), pages 1-17, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Paredes, P. & Wei, Z. & Liu, Y. & Xu, D. & Xin, Y. & Zhang, B. & Pereira, L.S., 2015. "Performance assessment of the FAO AquaCrop model for soil water, soil evaporation, biomass and yield of soybeans in North China Plain," Agricultural Water Management, Elsevier, vol. 152(C), pages 57-71.
    2. Dutta, S. K & Laing, Alison M. & Kumar, S. & Gathala, Mahesh K. & Singh, Ajoy K. & Gaydon, D.S. & Poulton, P., 2020. "Improved water management practices improve cropping system profitability and smallholder farmers’ incomes," Agricultural Water Management, Elsevier, vol. 242(C).
    3. Darouich, Hanaa & Karfoul, Razan & Ramos, Tiago B. & Moustafa, Ali & Shaheen, Baraa & Pereira, Luis S., 2021. "Crop water requirements and crop coefficients for jute mallow (Corchorus olitorius L.) using the SIMDualKc model and assessing irrigation strategies for the Syrian Akkar region," Agricultural Water Management, Elsevier, vol. 255(C).
    4. Jovanovic, N. & Pereira, L.S. & Paredes, P. & Pôças, I. & Cantore, V. & Todorovic, M., 2020. "A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods," Agricultural Water Management, Elsevier, vol. 239(C).
    5. OKORIE, Benedict Odinaka & NIRAJ, Yadav, 2022. "Effects Of Different Tillage Practices On Soil Fertility Properties: A Review," International Journal of Agriculture and Environmental Research, Malwa International Journals Publication, vol. 8(1), February.
    6. Rosa, R.D. & Ramos, T.B. & Pereira, L.S., 2016. "The dual Kc approach to assess maize and sweet sorghum transpiration and soil evaporation under saline conditions: Application of the SIMDualKc model," Agricultural Water Management, Elsevier, vol. 177(C), pages 77-94.
    7. Shuang Liu & Yuru Gao & Huilin Lang & Yong Liu & Hong Zhang, 2022. "Effects of Conventional Tillage and No-Tillage Systems on Maize ( Zea mays L.) Growth and Yield, Soil Structure, and Water in Loess Plateau of China: Field Experiment and Modeling Studies," Land, MDPI, vol. 11(11), pages 1-14, October.
    8. Kang, Shaozhong & Hao, Xinmei & Du, Taisheng & Tong, Ling & Su, Xiaoling & Lu, Hongna & Li, Xiaolin & Huo, Zailin & Li, Sien & Ding, Risheng, 2017. "Improving agricultural water productivity to ensure food security in China under changing environment: From research to practice," Agricultural Water Management, Elsevier, vol. 179(C), pages 5-17.
    9. Yan Shan & Mingbin Huang & Paul Harris & Lianhai Wu, 2021. "A Sensitivity Analysis of the SPACSYS Model," Agriculture, MDPI, vol. 11(7), pages 1-30, July.
    10. Pereira, L.S. & Paredes, P. & Melton, F. & Johnson, L. & Mota, M. & Wang, T., 2021. "Prediction of crop coefficients from fraction of ground cover and height: Practical application to vegetable, field and fruit crops with focus on parameterization," Agricultural Water Management, Elsevier, vol. 252(C).
    11. Lv, Yuping & Xu, Junzeng & Yang, Shihong & Liu, Xiaoyin & Zhang, Jiangang & Wang, Yijiang, 2018. "Inter-seasonal and cross-treatment variability in single-crop coefficients for rice evapotranspiration estimation and their validation under drying-wetting cycle conditions," Agricultural Water Management, Elsevier, vol. 196(C), pages 154-161.
    12. Luis Santos Pereira, 2017. "Water, Agriculture and Food: Challenges and Issues," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(10), pages 2985-2999, August.
    13. Wang, Feng & Meng, Haofeng & Xie, Ruizhi & Wang, Keru & Ming, Bo & Hou, Peng & Xue, Jun & Li, Shaokun, 2023. "Optimizing deficit irrigation and regulated deficit irrigation methods increases water productivity in maize," Agricultural Water Management, Elsevier, vol. 280(C).
    14. Xiufang Zhu & Shunlin Liang & YaoZhong Pan, 2012. "Observational evidence of the cooling effect of agricultural irrigation in Jilin, China," Climatic Change, Springer, vol. 114(3), pages 799-811, October.
    15. Pereira, L.S. & Paredes, P. & Hunsaker, D.J. & López-Urrea, R. & Mohammadi Shad, Z., 2021. "Standard single and basal crop coefficients for field crops. Updates and advances to the FAO56 crop water requirements method," Agricultural Water Management, Elsevier, vol. 243(C).
    16. Yang, J.M. & Yang, J.Y. & Liu, S. & Hoogenboom, G., 2014. "An evaluation of the statistical methods for testing the performance of crop models with observed data," Agricultural Systems, Elsevier, vol. 127(C), pages 81-89.
    17. Yang, Xuan & Zheng, Lina & Yang, Qian & Wang, Zikui & Cui, Song & Shen, Yuying, 2018. "Modelling the effects of conservation tillage on crop water productivity, soil water dynamics and evapotranspiration of a maize-winter wheat-soybean rotation system on the Loess Plateau of China using," Agricultural Systems, Elsevier, vol. 166(C), pages 111-123.
    18. Wu, L. & Harris, P. & Misselbrook, T.H. & Lee, M.R.F., 2022. "Simulating grazing beef and sheep systems," Agricultural Systems, Elsevier, vol. 195(C).
    19. 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).
    20. Zhu, Ping & Jia, Xiaoxu & Zhao, Chunlei & Shao, Mingan, 2022. "Long-term soil moisture evolution and its driving factors across China’s agroecosystems," Agricultural Water Management, Elsevier, vol. 269(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:15:p:5921-:d:388489. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.