IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v234y2020ics0378377419322772.html
   My bibliography  Save this article

Determining optimal water and nitrogen management under different initial soil mineral nitrogen levels in northwest China based on a model approach

Author

Listed:
  • Shi, Xinrui
  • Batchelor, William D.
  • Liang, Hao
  • Li, Sien
  • Li, Baoguo
  • Hu, Kelin

Abstract

Determining the best management practices (BMPs) under different initial soil mineral N (ISMN) levels is helpful to improve water and N use efficiencies (WUE, NUE) and protect the environment. In this study, a two-year field experiment of spring maize was conducted from 2014 to 2015 in northwest China. Five treatments were designed, including one local farmer practice (I480-4N280, 280 kg N ha−1 fertilizer and irrigated 480 mm with four irrigation events) and four conservation treatments (I420-4N200, I420-5N200, I420-6N200 and I420-7N200, standing for 200 kg N ha−1 fertilizer and irrigated 420 mm with four to seven irrigation events, respectively). Measured yield, leaf area index, soil water content and soil nitrate concentration were used to evaluate a soil-crop model (WHCNS, soil Water Heat Carbon Nitrogen Simulator), which was then used to simulate the effects of water and N management practices on water consumption, N fates, and crop growth. Then, the integrated index considering the agronomic, economic, and environmental impacts was simulated using 35,100 combinations of irrigation and fertilizer N scenarios, which were designed to develop BMPs under different ISMN levels (ranging from 0 to 625 kg N ha-1 in a 1.8 m-soil profile) and seasons of weather data (from 2001 to 2015). Results showed I420-5N200 was the best with a high yield, WUE and NUE, and low N loss among five treatments. The optimal irrigation amount (ranging from 350−600 mm) was related to precipitation amount. The optimal N rate decreased linearly with the increase of ISMN when ISMN was <384 kg ha−1, and reached a plateau (0 kg N ha−1) when ISMN was >384 kg ha−1. In this study, we developed a simple linear model to determine the best N application rates under different ISMNs. This method is important to help farmers achieve multiple goals of high yield, resource conservation and reduced environmental impacts simultaneously.

Suggested Citation

  • Shi, Xinrui & Batchelor, William D. & Liang, Hao & Li, Sien & Li, Baoguo & Hu, Kelin, 2020. "Determining optimal water and nitrogen management under different initial soil mineral nitrogen levels in northwest China based on a model approach," Agricultural Water Management, Elsevier, vol. 234(C).
  • Handle: RePEc:eee:agiwat:v:234:y:2020:i:c:s0378377419322772
    DOI: 10.1016/j.agwat.2020.106110
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377419322772
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2020.106110?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shi, Xinrui & Hu, Kelin & Batchelor, William D. & Liang, Hao & Wu, Yali & Wang, Qihui & Fu, Jin & Cui, Xiaoqing & Zhou, Feng, 2020. "Exploring optimal nitrogen management strategies to mitigate nitrogen losses from paddy soil in the middle reaches of the Yangtze River," Agricultural Water Management, Elsevier, vol. 228(C).
    2. Liu, Minghuan & Jiang, Yao & Xu, Xu & Huang, Quanzhong & Huo, Zailin & Huang, Guanhua, 2018. "Long-term groundwater dynamics affected by intense agricultural activities in oasis areas of arid inland river basins, Northwest China," Agricultural Water Management, Elsevier, vol. 203(C), pages 37-52.
    3. Li, Zhoujing & Hu, Kelin & Li, Baoguo & He, Mingrong & Zhang, Jiwang, 2015. "Evaluation of water and nitrogen use efficiencies in a double cropping system under different integrated management practices based on a model approach," Agricultural Water Management, Elsevier, vol. 159(C), pages 19-34.
    4. Farré, I. & Faci, J.-M., 2009. "Deficit irrigation in maize for reducing agricultural water use in a Mediterranean environment," Agricultural Water Management, Elsevier, vol. 96(3), pages 383-394, March.
    5. ChaoQing Yu & Xiao Huang & Han Chen & H. Charles J. Godfray & Jonathon S. Wright & Jim W. Hall & Peng Gong & ShaoQiang Ni & ShengChao Qiao & GuoRui Huang & YuChen Xiao & Jie Zhang & Zhao Feng & XiaoTa, 2019. "Managing nitrogen to restore water quality in China," Nature, Nature, vol. 567(7749), pages 516-520, March.
    6. 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.
    7. Sun, Yuan & Zhang, Jing & Wang, Hongyuan & Wang, Ligang & Li, Hu, 2019. "Identifying optimal water and nitrogen inputs for high efficiency and low environment impacts of a greenhouse summer cucumber with a model method," Agricultural Water Management, Elsevier, vol. 212(C), pages 23-34.
    8. 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.
    9. He, Yong & Liang, Hao & Hu, Kelin & Wang, Hongyuan & Hou, Lingling, 2018. "Modeling nitrogen leaching in a spring maize system under changing climate and genotype scenarios in arid Inner Mongolia, China," Agricultural Water Management, Elsevier, vol. 210(C), pages 316-323.
    10. Chuang-lin Fang & Chao Bao & Jin-chuan Huang, 2007. "Management Implications to Water Resources Constraint Force on Socio-economic System in Rapid Urbanization: A Case Study of the Hexi Corridor, NW China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(9), pages 1613-1633, September.
    11. Liang, Hao & Hu, Kelin & Batchelor, William D. & Qin, Wei & Li, Baoguo, 2018. "Developing a water and nitrogen management model for greenhouse vegetable production in China: Sensitivity analysis and evaluation," Ecological Modelling, Elsevier, vol. 367(C), pages 24-33.
    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. Gao, Riping & Pan, Zhihua & Zhang, Jun & Chen, Xiao & Qi, Yinglong & Zhang, Ziyuan & Chen, Shaoqing & Jiang, Kang & Ma, Shangqian & Wang, Jialin & Huang, Zhefan & Cai, Linlin & Wu, Yao & Guo, Ning & X, 2023. "Optimal cooperative application solutions of irrigation and nitrogen fertilization for high crop yield and friendly environment in the semi-arid region of North China," Agricultural Water Management, Elsevier, vol. 283(C).
    2. Leghari, Shah Jahan & Hu, Kelin & Wei, Yichang & Wang, Tongchao & Bhutto, Tofique Ahmed & Buriro, Mahmooda, 2021. "Modelling water consumption, N fates and maize yield under different water-saving management practices in China and Pakistan," Agricultural Water Management, Elsevier, vol. 255(C).
    3. Huang, Zhenyu & Zhang, Junxiao & Ren, Dongyang & Hu, Jiaqi & Xia, Guimin & Pan, Baozhu, 2022. "Modeling and assessing water and nitrogen use and crop growth of peanut in semi-arid areas of Northeast China," Agricultural Water Management, Elsevier, vol. 267(C).
    4. Tang, Jianzhao & Xiao, Dengpan & Wang, Jing & Fang, Quanxiao & Zhang, Jun & Bai, Huizi, 2021. "Optimizing water and nitrogen managements for potato production in the agro-pastoral ecotone in North China," Agricultural Water Management, Elsevier, vol. 253(C).

    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. Liang, Hao & Lv, Haofeng & Batchelor, William D. & Lian, Xiaojuan & Wang, Zhengxiang & Lin, Shan & Hu, Kelin, 2020. "Simulating nitrate and DON leaching to optimize water and N management practices for greenhouse vegetable production systems," Agricultural Water Management, Elsevier, vol. 241(C).
    2. Shi, Xinrui & Hu, Kelin & Batchelor, William D. & Liang, Hao & Wu, Yali & Wang, Qihui & Fu, Jin & Cui, Xiaoqing & Zhou, Feng, 2020. "Exploring optimal nitrogen management strategies to mitigate nitrogen losses from paddy soil in the middle reaches of the Yangtze River," Agricultural Water Management, Elsevier, vol. 228(C).
    3. Liang, Hao & Chen, Qing & Liang, Bin & Hu, Kelin, 2020. "Modeling the effects of long-term reduced N application on soil N losses and yield in a greenhouse tomato production system," Agricultural Systems, Elsevier, vol. 185(C).
    4. Tang, Jianzhao & Xiao, Dengpan & Wang, Jing & Fang, Quanxiao & Zhang, Jun & Bai, Huizi, 2021. "Optimizing water and nitrogen managements for potato production in the agro-pastoral ecotone in North China," Agricultural Water Management, Elsevier, vol. 253(C).
    5. Liang, Hao & Xu, Junzeng & Hou, Huijing & Qi, Zhiming & Yang, Shihong & Li, Yawei & Hu, Kelin, 2022. "Modeling CH4 and N2O emissions for continuous and noncontinuous flooding rice systems," Agricultural Systems, Elsevier, vol. 203(C).
    6. Liang, Hao & Qi, Zhiming & Hu, Kelin & Li, Baoguo & Prasher, Shiv O., 2018. "Modelling subsurface drainage and nitrogen losses from artificially drained cropland using coupled DRAINMOD and WHCNS models," Agricultural Water Management, Elsevier, vol. 195(C), pages 201-210.
    7. Huanyuan Wang & Baoguo Li & Liang Jin & Kelin Hu, 2020. "Exploring a Sustainable Cropping System in the North China Plain Using a Modelling Approach," Sustainability, MDPI, vol. 12(11), pages 1-16, June.
    8. Stefan Liehr & Julia Röhrig & Marion Mehring & Thomas Kluge, 2017. "How the Social-Ecological Systems Concept Can Guide Transdisciplinary Research and Implementation: Addressing Water Challenges in Central Northern Namibia," Sustainability, MDPI, vol. 9(7), pages 1-19, June.
    9. 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).
    10. Andarzian, B. & Bannayan, M. & Steduto, P. & Mazraeh, H. & Barati, M.E. & Barati, M.A. & Rahnama, A., 2011. "Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran," Agricultural Water Management, Elsevier, vol. 100(1), pages 1-8.
    11. Meena, Raj Pal & Karnam, Venkatesh & R, Sendhil & Rinki, & Sharma, R.K. & Tripathi, S.C. & Singh, Gyanendra Pratap, 2019. "Identification of water use efficient wheat genotypes with high yield for regions of depleting water resources in India," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    12. Kelly, T.D. & Foster, T. & Schultz, David M., 2023. "Assessing the value of adapting irrigation strategies within the season," Agricultural Water Management, Elsevier, vol. 275(C).
    13. Heng Liu & Caizhu Huang & Heng Lian & Xia Cui, 2023. "Hierarchical Spatially Varying Coefficient Process Regression for Modeling Net Anthropogenic Nitrogen Inputs (NANI) from the Watershed of the Yangtze River, China," Sustainability, MDPI, vol. 15(16), pages 1-15, August.
    14. Xiuli Liu & Xikang Chen & Shouyang Wang, 2009. "Evaluating and Predicting Shadow Prices of Water Resources in China and Its Nine Major River Basins," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(8), pages 1467-1478, June.
    15. Iqbal, M. Anjum & Bodner, G. & Heng, L.K. & Eitzinger, J. & Hassan, A., 2010. "Assessing yield optimization and water reduction potential for summer-sown and spring-sown maize in Pakistan," Agricultural Water Management, Elsevier, vol. 97(5), pages 731-737, May.
    16. Nasca, J.A. & Feldkamp, C.R. & Arroquy, J.I. & Colombatto, D., 2015. "Efficiency and stability in subtropical beef cattle grazing systems in the northwest of Argentina," Agricultural Systems, Elsevier, vol. 133(C), pages 85-96.
    17. Maisa’a W. Shammout, 2023. "Calculation and Management of Water Supply and Demand under Land Use/Cover Changes in the Yarmouk River Basin Governorates in Jordan," Land, MDPI, vol. 12(8), pages 1-13, July.
    18. Zhen, Wei & Qin, Quande & Miao, Lu, 2023. "The greenhouse gas rebound effect from increased energy efficiency across China's staple crops," Energy Policy, Elsevier, vol. 173(C).
    19. Li, Xiaolin & Tong, Ling & Niu, Jun & Kang, Shaozhong & Du, Taisheng & Li, Sien & Ding, Risheng, 2017. "Spatio-temporal distribution of irrigation water productivity and its driving factors for cereal crops in Hexi Corridor, Northwest China," Agricultural Water Management, Elsevier, vol. 179(C), pages 55-63.
    20. Lou, Bo & Ulgiati, Sergio, 2013. "Identifying the environmental support and constraints to the Chinese economic growth—An application of the Emergy Accounting method," Energy Policy, Elsevier, vol. 55(C), pages 217-233.

    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:eee:agiwat:v:234:y:2020:i:c:s0378377419322772. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    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.