IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v192y2017icp180-188.html
   My bibliography  Save this article

Evapotranspiration of winter wheat estimated with the FAO 56 approach and NDVI measurements in a temperate humid climate of NW Europe

Author

Listed:
  • Drerup, Philipp
  • Brueck, Holger
  • Scherer, Heinrich W.

Abstract

Irrigated agriculture is the dominant user of global freshwater resources and improvements in water management are considered key to simultaneously enhance food production and to secure regional water resources. Irrigation management requires reliable estimates of crop evapotranspiration (ETa) which can be derived from tabulated crop coefficients and estimates of phenological stage lengths or alternatively from remotely sensed canopy data. In order to compare both approaches under sufficient nitrogen and water supply, field trials with winter wheat (Triticum aestivum L.) were performed in 2013/14 and 2014/15 at Duelmen, Germany. Crop growth dynamics were measured by a handspectrometer and leaf canopy analyzer, and phenological stages were recorded. ETa was calculated in two different ways: Firstly based on tabulated crop coefficients (Kc) and stage durations (FA-approach) and secondly based on remotely sensed Kc-values (NDVI-approach). Both approaches were used to calculate a daily field water balance (FWB) and compared with measured (FDR-techniques) dynamics of soil water content. Both ETa estimates predicted seasonal dynamics of the FWB reasonably good RMSE: 0.7, 0.6 (FA-approach); 0.6, 0.8 (NDVI-approach) in 2014 and 2015, respectively. ETa estimates of the FA approach for 2014 and 2015 were 403mm and 430mm and exhibited larger between-year variation when the NDVI approach was used (377mm and 463mm). Agronomic water-use efficiencies varied between 1.93–2.76g/l. The relevance of reliable in-field estimates of Kc-values and stage lengths was quantified with a sensitivity analysis. The results indicate that NDVI-based estimates of ETa can be used instead of ETa estimates which are based on tabulated Kc values and estimates of growth stage length. The use of NDVI-based estimates of ETa enables to apply irrigation water more site-specific.

Suggested Citation

  • Drerup, Philipp & Brueck, Holger & Scherer, Heinrich W., 2017. "Evapotranspiration of winter wheat estimated with the FAO 56 approach and NDVI measurements in a temperate humid climate of NW Europe," Agricultural Water Management, Elsevier, vol. 192(C), pages 180-188.
  • Handle: RePEc:eee:agiwat:v:192:y:2017:i:c:p:180-188
    DOI: 10.1016/j.agwat.2017.07.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377417302391
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2017.07.010?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. Duchemin, B. & Hadria, R. & Erraki, S. & Boulet, G. & Maisongrande, P. & Chehbouni, A. & Escadafal, R. & Ezzahar, J. & Hoedjes, J.C.B. & Kharrou, M.H. & Khabba, S. & Mougenot, B. & Olioso, A. & Rodrig, 2006. "Monitoring wheat phenology and irrigation in Central Morocco: On the use of relationships between evapotranspiration, crops coefficients, leaf area index and remotely-sensed vegetation indices," Agricultural Water Management, Elsevier, vol. 79(1), pages 1-27, January.
    2. El Chami, D. & Knox, J.W. & Daccache, A. & Weatherhead, E.K., 2015. "The economics of irrigating wheat in a humid climate – A study in the East of England," Agricultural Systems, Elsevier, vol. 133(C), pages 97-108.
    3. Molden, David, 2007. "Water for food, water for life: a comprehensive assessment of water management in agriculture: summary. In Russian," IWMI Books, Reports H041260, International Water Management Institute.
    4. 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.
    5. 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.
    6. Zwart, Sander J. & Bastiaanssen, Wim G. M., 2004. "Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize," Agricultural Water Management, Elsevier, vol. 69(2), pages 115-133, September.
    7. Molden, David, 2007. "Water for food, water for life: a comprehensive assessment of water management in agriculture," IWMI Books, Reports H040193, International Water Management Institute.
    8. Bausch, Walter C., 1995. "Remote sensing of crop coefficients for improving the irrigation scheduling of corn," Agricultural Water Management, Elsevier, vol. 27(1), pages 55-68, April.
    9. Piccinni, Giovanni & Ko, Jonghan & Marek, Thomas & Howell, Terry, 2009. "Determination of growth-stage-specific crop coefficients (KC) of maize and sorghum," Agricultural Water Management, Elsevier, vol. 96(12), pages 1698-1704, December.
    10. Tasumi, Masahiro & Allen, Richard G., 2007. "Satellite-based ET mapping to assess variation in ET with timing of crop development," Agricultural Water Management, Elsevier, vol. 88(1-3), pages 54-62, March.
    11. Ko, Jonghan & Piccinni, Giovanni & Marek, Thomas & Howell, Terry, 2009. "Determination of growth-stage-specific crop coefficients (Kc) of cotton and wheat," Agricultural Water Management, Elsevier, vol. 96(12), pages 1691-1697, December.
    12. Kang, Shaozhong & Gu, Binjie & Du, Taisheng & Zhang, Jianhua, 2003. "Crop coefficient and ratio of transpiration to evapotranspiration of winter wheat and maize in a semi-humid region," Agricultural Water Management, Elsevier, vol. 59(3), pages 239-254, April.
    13. Er-Raki, S. & Chehbouni, A. & Guemouria, N. & Duchemin, B. & Ezzahar, J. & Hadria, R., 2007. "Combining FAO-56 model and ground-based remote sensing to estimate water consumptions of wheat crops in a semi-arid region," Agricultural Water Management, Elsevier, vol. 87(1), pages 41-54, January.
    14. Satti, Sudheer R. & Jacobs, Jennifer M. & Irmak, Suat, 2004. "Agricultural water management in a humid region: sensitivity to climate, soil and crop parameters," Agricultural Water Management, Elsevier, vol. 70(1), pages 51-65, October.
    15. Molden, David, 2007. "Water for food, water for life: a comprehensive assessment of water management in agriculture: summary," IWMI Books, Reports H039769, International Water Management Institute.
    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. Amazirh, Abdelhakim & Merlin, Olivier & Er-Raki, Salah & Bouras, Elhoussaine & Chehbouni, Abdelghani, 2021. "Implementing a new texture-based soil evaporation reduction coefficient in the FAO dual crop coefficient method," Agricultural Water Management, Elsevier, vol. 250(C).
    2. 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).
    3. French, Andrew N. & Hunsaker, Douglas J. & Sanchez, Charles A. & Saber, Mazin & Gonzalez, Juan Roberto & Anderson, Ray, 2020. "Satellite-based NDVI crop coefficients and evapotranspiration with eddy covariance validation for multiple durum wheat fields in the US Southwest," Agricultural Water Management, Elsevier, vol. 239(C).
    4. Mahmoud, Shereif H. & Gan, Thian Yew, 2019. "Irrigation water management in arid regions of Middle East: Assessing spatio-temporal variation of actual evapotranspiration through remote sensing techniques and meteorological data," Agricultural Water Management, Elsevier, vol. 212(C), pages 35-47.
    5. Wang, Tianxin & Melton, Forrest S. & Pôças, Isabel & Johnson, Lee F. & Thao, Touyee & Post, Kirk & Cassel-Sharma, Florence, 2021. "Evaluation of crop coefficient and evapotranspiration data for sugar beets from landsat surface reflectances using micrometeorological measurements and weighing lysimetry," Agricultural Water Management, Elsevier, vol. 244(C).
    6. Pôças, I. & Calera, A. & Campos, I. & Cunha, M., 2020. "Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches," Agricultural Water Management, Elsevier, vol. 233(C).
    7. Amazirh, Abdelhakim & Er-Raki, Salah & Ojha, Nitu & Bouras, El houssaine & Rivalland, Vincent & Merlin, Olivier & Chehbouni, Abdelghani, 2022. "Assimilation of SMAP disaggregated soil moisture and Landsat land surface temperature to improve FAO-56 estimates of ET in semi-arid regions," Agricultural Water Management, Elsevier, vol. 260(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. 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).
    2. Mohammad Alauddin & Upali A. Amarasinghe & Bharat R. Sharma, 2014. "Four decades of rice water productivity in Bangladesh: A spatio-temporal analysis of district level panel data," Economic Analysis and Policy, Elsevier, vol. 44(1), pages 51-64.
    3. Katerji, Nader & Campi, Pasquale & Mastrorilli, Marcello, 2013. "Productivity, evapotranspiration, and water use efficiency of corn and tomato crops simulated by AquaCrop under contrasting water stress conditions in the Mediterranean region," Agricultural Water Management, Elsevier, vol. 130(C), pages 14-26.
    4. Zhao, Nana & Liu, Yu & Cai, Jiabing & Paredes, Paula & Rosa, Ricardo D. & Pereira, Luis S., 2013. "Dual crop coefficient modelling applied to the winter wheat–summer maize crop sequence in North China Plain: Basal crop coefficients and soil evaporation component," Agricultural Water Management, Elsevier, vol. 117(C), pages 93-105.
    5. Gong, Daozhi & Mei, Xurong & Hao, Weiping & Wang, Hanbo & Caylor, Kelly K., 2017. "Comparison of ET partitioning and crop coefficients between partial plastic mulched and non-mulched maize fields," Agricultural Water Management, Elsevier, vol. 181(C), pages 23-34.
    6. Muniandy, Josilva M. & Yusop, Zulkifli & Askari, Muhamad, 2016. "Evaluation of reference evapotranspiration models and determination of crop coefficient for Momordica charantia and Capsicum annuum," Agricultural Water Management, Elsevier, vol. 169(C), pages 77-89.
    7. Zwart, Sander J. & Bastiaanssen, Wim G.M. & de Fraiture, Charlotte & Molden, David J., 2010. "WATPRO: A remote sensing based model for mapping water productivity of wheat," Agricultural Water Management, Elsevier, vol. 97(10), pages 1628-1636, October.
    8. Farzad Emami & Manfred Koch, 2018. "Agricultural Water Productivity-Based Hydro-Economic Modeling for Optimal Crop Pattern and Water Resources Planning in the Zarrine River Basin, Iran, in the Wake of Climate Change," Sustainability, MDPI, vol. 10(11), pages 1-32, October.
    9. Sharma, Bharat & Molden, D. & Cook, Simon, 2015. "Water use efficiency in agriculture: measurement, current situation and trends," Book Chapters,, International Water Management Institute.
    10. Qiu, Rangjian & Li, Longan & Liu, Chunwei & Wang, Zhenchang & Zhang, Baozhong & Liu, Zhandong, 2022. "Evapotranspiration estimation using a modified crop coefficient model in a rotated rice-winter wheat system," Agricultural Water Management, Elsevier, vol. 264(C).
    11. Jalota, S.K. & Singh, K.B. & Chahal, G.B.S. & Gupta, R.K. & Chakraborty, Somsubhra & Sood, Anil & Ray, S.S. & Panigrahy, S., 2009. "Integrated effect of transplanting date, cultivar and irrigation on yield, water saving and water productivity of rice (Oryza sativa L.) in Indian Punjab: Field and simulation study," Agricultural Water Management, Elsevier, vol. 96(7), pages 1096-1104, July.
    12. Sharma, Bharat & Molden, D. & Cook, Simon, 2015. "Water use efficiency in agriculture: measurement, current situation and trends," IWMI Books, Reports H046807, International Water Management Institute.
    13. Molden, David & Oweis, Theib & Steduto, Pasquale & Bindraban, Prem & Hanjra, Munir A. & Kijne, Jacob, 2010. "Improving agricultural water productivity: Between optimism and caution," Agricultural Water Management, Elsevier, vol. 97(4), pages 528-535, April.
    14. Bingzhen Du & Lin Zhen & Rudolf De Groot & Xin Long & Xiaochang Cao & Ruizi Wu & Chuanzhun Sun & Chao Wang, 2015. "Changing Food Consumption Patterns and Impact on Water Resources in the Fragile Grassland of Northern China," Sustainability, MDPI, vol. 7(5), pages 1-20, May.
    15. Pôças, I. & Calera, A. & Campos, I. & Cunha, M., 2020. "Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches," Agricultural Water Management, Elsevier, vol. 233(C).
    16. Cai, X.L. & Sharma, B.R., 2010. "Integrating remote sensing, census and weather data for an assessment of rice yield, water consumption and water productivity in the Indo-Gangetic river basin," Agricultural Water Management, Elsevier, vol. 97(2), pages 309-316, February.
    17. Bastiaanssen, W.G.M. & Allen, R.G. & Droogers, P. & D'Urso, G. & Steduto, P., 2007. "Twenty-five years modeling irrigated and drained soils: State of the art," Agricultural Water Management, Elsevier, vol. 92(3), pages 111-125, September.
    18. Zhang, Yu & Han, Wenting & Zhang, Huihui & Niu, Xiaotao & Shao, Guomin, 2023. "Evaluating maize evapotranspiration using high-resolution UAV-based imagery and FAO-56 dual crop coefficient approach," Agricultural Water Management, Elsevier, vol. 275(C).
    19. Scheierling, Susanne M. & Treguer, David O. & Booker, James F., 2015. "Water Productivity in Agriculture: Looking for Water in the Agricultural Productivity and Efficiency Literature," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205677, Agricultural and Applied Economics Association.
    20. Wang, Yunfei & Cai, Huanjie & Yu, Lianyu & Peng, Xiongbiao & Xu, Jiatun & Wang, Xiaowen, 2020. "Evapotranspiration partitioning and crop coefficient of maize in dry semi-humid climate regime," Agricultural Water Management, Elsevier, vol. 236(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:eee:agiwat:v:192:y:2017:i:c:p:180-188. 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.