IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v223y2019ic60.html
   My bibliography  Save this article

Can measured soil hydraulic properties simulate field water dynamics and crop production?

Author

Listed:
  • Shahadha, Saadi Sattar
  • Wendroth, Ole
  • Zhu, Junfeng
  • Walton, Jason

Abstract

Agricultural system models simulate soil water dynamics and crop evapotranspiration (ETc) and growth to enhance soil and crop management. To achieve this, simulations must be critically evaluated against field experimental data in different field management conditions. In many evaluations, simulations deviated from field measurements, which can be due to the quality of model input parameters. Replacing soil hydraulic properties indirectly derived from soil textural data by measured soil hydraulic property may decrease the discrepancy between measured and simulated soil water status. What is the benefit of using measured soil hydraulic properties in a model instead of pedo-transfer-function (PTF) based approaches to estimate the hydraulic properties indirectly? The objective of this study was to investigate the effect of using measured soil hydraulic property input parameters (SHPIP) as Root Zone Water Quality Model (RZWQM2) inputs compared to PTF-based indirectly derived hydraulic parameter inputs with and without calibration. A field experiment with soybean, corn, and fallow soil was conducted. Five model scenarios using measured SHPIP and SHPIP derived from soil texture as model inputs were created. The results indicate that, RZWQM2 showed a high sensitivity to the SHPIP calibration for fallow and corn season. Uncalibrated measured SHPIP yielded better simulation results than other SHPIP scenarios with regard to soil water flux, crop evapotranspiration, and soybean yield during the validation. While, the calibration of the SHPIP in corn and fallow slightly helped soybean soil water prediction at the surface depth. Hence, with representative measurements of SHPIP, it was possible to improve model simulations even without calibrating the input parameters.

Suggested Citation

  • Shahadha, Saadi Sattar & Wendroth, Ole & Zhu, Junfeng & Walton, Jason, 2019. "Can measured soil hydraulic properties simulate field water dynamics and crop production?," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
  • Handle: RePEc:eee:agiwat:v:223:y:2019:i:c:60
    DOI: 10.1016/j.agwat.2019.05.045
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037837741930054X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2019.05.045?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. Anapalli, Saseendran S. & Ahuja, Lajpat R. & Gowda, Prasanna H. & Ma, Liwang & Marek, Gary & Evett, Steven R. & Howell, Terry A., 2016. "Simulation of crop evapotranspiration and crop coefficients with data in weighing lysimeters," Agricultural Water Management, Elsevier, vol. 177(C), pages 274-283.
    2. Allen, Richard G. & Pereira, Luis S. & Howell, Terry A. & Jensen, Marvin E., 2011. "Evapotranspiration information reporting: I. Factors governing measurement accuracy," Agricultural Water Management, Elsevier, vol. 98(6), pages 899-920, April.
    3. Alves, Isabel & Cameira, Maria do Rosario, 2002. "Evapotranspiration estimation performance of root zone water quality model: evaluation and improvement," Agricultural Water Management, Elsevier, vol. 57(1), pages 61-73, September.
    4. Cameira, M.R. & Fernando, R.M. & Ahuja, L.R. & Ma, L., 2007. "Using RZWQM to simulate the fate of nitrogen in field soil-crop environment in the Mediterranean region," Agricultural Water Management, Elsevier, vol. 90(1-2), pages 121-136, May.
    5. Berger, Thomas, 2001. "Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 245-260, September.
    6. Sezen, S. Metin & Yazar, Attila & Daşgan, Yıldız & Yucel, Seral & Akyıldız, Asiye & Tekin, Servet & Akhoundnejad, Yelderem, 2014. "Evaluation of crop water stress index (CWSI) for red pepper with drip and furrow irrigation under varying irrigation regimes," Agricultural Water Management, Elsevier, vol. 143(C), pages 59-70.
    7. Islam, Adlul & Ahuja, Lajpat R. & Garcia, Luis A. & Ma, Liwang & Saseendran, Anapalli S. & Trout, Thomas J., 2012. "Modeling the impacts of climate change on irrigated corn production in the Central Great Plains," Agricultural Water Management, Elsevier, vol. 110(C), pages 94-108.
    8. Saseendran, S.A. & Trout, T.J. & Ahuja, L.R. & Ma, L. & McMaster, G.S. & Nielsen, D.C. & Andales, A.A. & Chávez, J.L. & Ham, J., 2015. "Quantifying crop water stress factors from soil water measurements in a limited irrigation experiment," Agricultural Systems, Elsevier, vol. 137(C), pages 191-205.
    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. Wei, Shiyu & Kuang, Naikun & Jiao, Fengli & Zong, Rui & Li, Quanqi, 2023. "Exploring the effects of subsoiling tillage under various irrigation regimes on the evapotranspiration and crop water productivity of winter wheat using RZWQM2," Agricultural Water Management, Elsevier, vol. 289(C).
    2. Kuang, Naikun & Ma, Yuzhao & Hong, Shengzhe & Jiao, Fengli & Liu, Changyuan & Li, Quanqi & Han, Huifang, 2021. "Simulation of soil moisture dynamics, evapotranspiration, and water drainage of summer maize in response to different depths of subsoiling with RZWQM2," Agricultural Water Management, Elsevier, vol. 249(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. Anapalli, Saseendran S. & Fisher, Daniel K. & Reddy, Krishna N. & Rajan, Nithya & Pinnamaneni, Srinivasa Rao, 2019. "Modeling evapotranspiration for irrigation water management in a humid climate," Agricultural Water Management, Elsevier, vol. 225(C).
    2. Kuang, Naikun & Ma, Yuzhao & Hong, Shengzhe & Jiao, Fengli & Liu, Changyuan & Li, Quanqi & Han, Huifang, 2021. "Simulation of soil moisture dynamics, evapotranspiration, and water drainage of summer maize in response to different depths of subsoiling with RZWQM2," Agricultural Water Management, Elsevier, vol. 249(C).
    3. Jeong, Hanseok & Pittelkow, Cameron M. & Bhattarai, Rabin, 2019. "Simulated responses of tile-drained agricultural systems to recent changes in ambient atmospheric gradients," Agricultural Systems, Elsevier, vol. 168(C), pages 48-55.
    4. 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).
    5. Anapalli, Saseendran S. & Ahuja, Lajpat R. & Gowda, Prasanna H. & Ma, Liwang & Marek, Gary & Evett, Steven R. & Howell, Terry A., 2016. "Simulation of crop evapotranspiration and crop coefficients with data in weighing lysimeters," Agricultural Water Management, Elsevier, vol. 177(C), pages 274-283.
    6. Haomiao Cheng & Shu Ji & Hengjun Ge & Mohmed A. M. Abdalhi & Tengyi Zhu & Xiaoping Chen & Wei Ding & Shaoyuan Feng, 2022. "Optimizing Deficit Irrigation Management to Improve Water Productivity of Greenhouse Tomato under Plastic Film Mulching Using the RZ-SHAW Model," Agriculture, MDPI, vol. 12(8), pages 1-13, August.
    7. Gong, Xuewen & Qiu, Rangjian & Zhang, Baozhong & Wang, Shunsheng & Ge, Jiankun & Gao, Shikai & Yang, Zaiqiang, 2021. "Energy budget for tomato plants grown in a greenhouse in northern China," Agricultural Water Management, Elsevier, vol. 255(C).
    8. Feng, Yu & Gong, Daozhi & Mei, Xurong & Hao, Weiping & Tang, Dahua & Cui, Ningbo, 2017. "Energy balance and partitioning in partial plastic mulched and non-mulched maize fields on the Loess Plateau of China," Agricultural Water Management, Elsevier, vol. 191(C), pages 193-206.
    9. Çolak, Yeşim Bozkurt & Yazar, Attila & Gönen, Engin & Eroğlu, E. Çağlar, 2018. "Yield and quality response of surface and subsurface drip-irrigated eggplant and comparison of net returns," Agricultural Water Management, Elsevier, vol. 206(C), pages 165-175.
    10. Haomiao Cheng & Qilin Yu & Mohmed A. M. Abdalhi & Fan Li & Zhiming Qi & Tengyi Zhu & Wei Cai & Xiaoping Chen & Shaoyuan Feng, 2022. "RZWQM2 Simulated Drip Fertigation Management to Improve Water and Nitrogen Use Efficiency of Maize in a Solar Greenhouse," Agriculture, MDPI, vol. 12(5), pages 1-14, May.
    11. 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).
    12. Escarabajal-Henarejos, D. & Fernández-Pacheco, D.G. & Molina-Martínez, J.M. & Martínez-Molina, L. & Ruiz-Canales, A., 2015. "Selection of device to determine temperature gradients for estimating evapotranspiration using energy balance method," Agricultural Water Management, Elsevier, vol. 151(C), pages 136-147.
    13. Gao, Yang & Yang, Linlin & Shen, Xiaojun & Li, Xinqiang & Sun, Jingsheng & Duan, Aiwang & Wu, Laosheng, 2014. "Winter wheat with subsurface drip irrigation (SDI): Crop coefficients, water-use estimates, and effects of SDI on grain yield and water use efficiency," Agricultural Water Management, Elsevier, vol. 146(C), pages 1-10.
    14. Rich, Karl M. & Ross, R. Brent & Baker, A. Derek & Negassa, Asfaw, 2011. "Quantifying value chain analysis in the context of livestock systems in developing countries," Food Policy, Elsevier, vol. 36(2), pages 214-222, April.
    15. Constanza Fosco, 2012. "Spatial Difusion and Commuting Flows," Documentos de Trabajo en Economia y Ciencia Regional 30, Universidad Catolica del Norte, Chile, Department of Economics, revised Sep 2012.
    16. Kellermann, Konrad & Balmann, Alfons, 2006. "How Smart Should Farms Be Modeled? Behavioral Foundation of Bidding Strategies in Agent-Based Land Market Models," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25446, International Association of Agricultural Economists.
    17. Yang, Yanmin & Yang, Yonghui & Han, Shumin & Li, Huilong & Wang, Lu & Ma, Qingtao & Ma, Lexin & Wang, Linna & Hou, Zhenjun & Chen, Li & Liu, De Li, 2023. "Comparison of water-saving potential of fallow and crop change with high water-use winter-wheat – summer-maize rotation," Agricultural Water Management, Elsevier, vol. 289(C).
    18. 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).
    19. Pacillo, Grazia, 2016. "Market participation, innovation adoption and poverty in rural Ghana," Economics PhD Theses 0916, Department of Economics, University of Sussex Business School.
    20. Khorsand, Afshin & Rezaverdinejad, Vahid & Asgarzadeh, Hossein & Majnooni-Heris, Abolfazl & Rahimi, Amir & Besharat, Sina, 2019. "Irrigation scheduling of maize based on plant and soil indices with surface drip irrigation subjected to different irrigation regimes," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.

    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:223:y:2019:i:c:60. 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.