IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v104y2012icp221-234.html
   My bibliography  Save this article

Evaluation of the impact of surface residue cover on single and dual crop coefficient for estimating soybean actual evapotranspiration

Author

Listed:
  • Odhiambo, L.O.
  • Irmak, S.

Abstract

Single and dual crop coefficient methods are used in conjunction with grass reference evapotranspiration (ETo) to estimate actual crop evapotranspiration (ETc). However, the impact of soil surface residue cover on the accuracy of ETc estimated with these methods is not well understood. The objective of this study is to evaluate and compare the accuracy of the FAO-56 single crop coefficient (single-Kc) and dual crop coefficient (dual-Kc) methods for estimating soybean [Glycine max (L.) Merr.] ETc in a partially residue covered field. The study was conducted at the University of Nebraska-Lincoln, South Central Agricultural Laboratory (SCAL), Nebraska, during the 2007 and 2008 growing seasons. The field was under reduced-tillage (ridge till) on a silt loam soil and irrigated using a subsurface drip irrigation system. Evapotranspiration flux (ETm) above the crop canopy was measured using a deluxe version of a Bowen ratio energy balance system (BREBS) and ETo was calculated with the Penman–Monteith method. The single-Kc and dual-Kc-estimated ETc values, both unadjusted for residue cover, were compared to ETm. The unadjusted FAO-56 Kc values performed poorly as the single-Kc underestimated ETm during the initial crop growth stage by 21% in 2007 and 33.6% in 2008 while the dual-Kc overestimated ETm during the same growth stage by 16.8% in 2007 and 16.5% in 2008. Extended simulations were conducted to determine the magnitude by which ETc is reduced for each 10% of soil surface covered with crop residue. Downward adjustments in soil water evaporation (Es) for every 10% of the soil surface covered with crop residue improved the accuracy of ETc estimated by the dual-Kc method. The largest changes in ETc due to adjustments in Es occur during the initial stage of the growing season. The best estimates for seasonal ETc were obtained by reducing Es by 5% for every 10% of surface covered with residue in 2007 (R2=0.77, RMSD=0.87mmd−1, E=0.94) and 2008 (R2=0.83, RMSD=0.84mmd−1, E=0.95). Greater improvements in the accuracy of estimated seasonal ETc were obtained by reducing Es by 2.5% for each 10% of surface covered with residue during the initial stage and by 5% during the rest of the crop growth stage. These results suggest that the more computationally-involved dual-Kc method with adjustments in Es for each 10% of surface covered with residue improves the prediction of ETc in fields with soil surface residue cover, especially during the initial growth stage. Inaccurate selection of percentage reduction in Es can result in substantial overestimation or underestimation of seasonal ETc by the dual-Kc method.

Suggested Citation

  • Odhiambo, L.O. & Irmak, S., 2012. "Evaluation of the impact of surface residue cover on single and dual crop coefficient for estimating soybean actual evapotranspiration," Agricultural Water Management, Elsevier, vol. 104(C), pages 221-234.
    • Handle: RePEc:eee:agiwat:v:104:y:2012:i:c:p:221-234
    DOI: 10.1016/j.agwat.2011.12.021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377411003568
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2011.12.021?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. Lopez-Urrea, R. & Olalla, F. Martin de Santa & Fabeiro, C. & Moratalla, A., 2006. "An evaluation of two hourly reference evapotranspiration equations for semiarid conditions," Agricultural Water Management, Elsevier, vol. 86(3), pages 277-282, December.
    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, 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.
    2. Campos, Isidro & Neale, Christopher M.U. & Suyker, Andrew E. & Arkebauer, Timothy J. & Gonçalves, Ivo Z., 2017. "Reflectance-based crop coefficients REDUX: For operational evapotranspiration estimates in the age of high producing hybrid varieties," Agricultural Water Management, Elsevier, vol. 187(C), pages 140-153.
    3. Anderson, Ray G. & Alfieri, Joseph G. & Tirado-Corbalá, Rebecca & Gartung, Jim & McKee, Lynn G. & Prueger, John H. & Wang, Dong & Ayars, James E. & Kustas, William P., 2017. "Assessing FAO-56 dual crop coefficients using eddy covariance flux partitioning," Agricultural Water Management, Elsevier, vol. 179(C), pages 92-102.
    4. Barker, J. Burdette & Heeren, Derek M. & Neale, Christopher M.U. & Rudnick, Daran R., 2018. "Evaluation of variable rate irrigation using a remote-sensing-based model," Agricultural Water Management, Elsevier, vol. 203(C), pages 63-74.
    5. 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).

    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. Liu, Yujie & Luo, Yi, 2010. "A consolidated evaluation of the FAO-56 dual crop coefficient approach using the lysimeter data in the North China Plain," Agricultural Water Management, Elsevier, vol. 97(1), pages 31-40, January.
    2. Slavisa Trajkovic & Srdjan Kolakovic, 2009. "Evaluation of Reference Evapotranspiration Equations Under Humid Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(14), pages 3057-3067, November.
    3. Seydou Traore & Yufeng Luo & Guy Fipps, 2017. "Gene-Expression Programming for Short-Term Forecasting of Daily Reference Evapotranspiration Using Public Weather Forecast Information," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 4891-4908, December.
    4. Seydou Traore & Aytac Guven, 2012. "Regional-Specific Numerical Models of Evapotranspiration Using Gene-Expression Programming Interface in Sahel," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(15), pages 4367-4380, December.
    5. Liu, Qiang & Cui, Baoshan, 2011. "Impacts of climate change/variability on the streamflow in the Yellow River Basin, China," Ecological Modelling, Elsevier, vol. 222(2), pages 268-274.
    6. Widmoser, Peter, 2009. "A discussion on and alternative to the Penman-Monteith equation," Agricultural Water Management, Elsevier, vol. 96(4), pages 711-721, April.
    7. Ji, X.B. & Chen, J.M. & Zhao, W.Z. & Kang, E.S. & Jin, B.W. & Xu, S.Q., 2017. "Comparison of hourly and daily Penman-Monteith grass- and alfalfa-reference evapotranspiration equations and crop coefficients for maize under arid climatic conditions," Agricultural Water Management, Elsevier, vol. 192(C), pages 1-11.
    8. Xiang, Keyu & Li, Yi & Horton, Robert & Feng, Hao, 2020. "Similarity and difference of potential evapotranspiration and reference crop evapotranspiration – a review," Agricultural Water Management, Elsevier, vol. 232(C).
    9. López-Urrea, R. & Montoro, A. & González-Piqueras, J. & López-Fuster, P. & Fereres, E., 2009. "Water use of spring wheat to raise water productivity," Agricultural Water Management, Elsevier, vol. 96(9), pages 1305-1310, September.
    10. M. Majidi & A. Alizadeh & M. Vazifedoust & A. Farid & T. Ahmadi, 2015. "Analysis of the Effect of Missing Weather Data on Estimating Daily Reference Evapotranspiration Under Different Climatic Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(7), pages 2107-2124, May.
    11. Jiménez-Carvajal, C. & Ruiz-Peñalver, L. & Vera-Repullo, J.A. & Jiménez-Buendía, M. & Antolino-Merino, A. & Molina-Martínez, J.M., 2017. "Weighing lysimetric system for the determination of the water balance during irrigation in potted plants," Agricultural Water Management, Elsevier, vol. 183(C), pages 78-85.
    12. Mohamed A. Mattar & A. A. Alazba & Bander Alblewi & Bahram Gharabaghi & Mohamed A. Yassin, 2016. "Evaluating and Calibrating Reference Evapotranspiration Models Using Water Balance under Hyper-Arid Environment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(11), pages 3745-3767, September.
    13. Junzeng Xu & Junmei Wang & Qi Wei & Yanhua Wang, 2016. "Symbolic Regression Equations for Calculating Daily Reference Evapotranspiration with the Same Input to Hargreaves-Samani in Arid China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(6), pages 2055-2073, April.
    14. Yang, Yang & Cui, Yuanlai & Bai, Kaihua & Luo, Tongyuan & Dai, Junfeng & Wang, Weiguang & Luo, Yufeng, 2019. "Short-term forecasting of daily reference evapotranspiration using the reduced-set Penman-Monteith model and public weather forecasts," Agricultural Water Management, Elsevier, vol. 211(C), pages 70-80.
    15. Singh Rawat, Kishan & Kumar Singh, Sudhir & Bala, Anju & Szabó, Szilárd, 2019. "Estimation of crop evapotranspiration through spatial distributed crop coefficient in a semi-arid environment," Agricultural Water Management, Elsevier, vol. 213(C), pages 922-933.
    16. López-Urrea, R. & Montoro, A. & López-Fuster, P. & Fereres, E., 2009. "Evapotranspiration and responses to irrigation of broccoli," Agricultural Water Management, Elsevier, vol. 96(7), pages 1155-1161, July.
    17. López-Urrea, R. & Martín de Santa Olalla, F. & Montoro, A. & López-Fuster, P., 2009. "Single and dual crop coefficients and water requirements for onion (Allium cepa L.) under semiarid conditions," Agricultural Water Management, Elsevier, vol. 96(6), pages 1031-1036, June.

    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:104:y:2012:i:c:p:221-234. 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.