IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v89y2007i3p199-207.html
   My bibliography  Save this article

Irrigation water use estimates based on crop simulation models and kriging

Author

Listed:
  • Guerra, L.C.
  • Garcia y Garcia, A.
  • Hook, J.E.
  • Harrison, K.A.
  • Thomas, D.L.
  • Stooksbury, D.E.
  • Hoogenboom, G.

Abstract

No abstract is available for this item.

Suggested Citation

  • Guerra, L.C. & Garcia y Garcia, A. & Hook, J.E. & Harrison, K.A. & Thomas, D.L. & Stooksbury, D.E. & Hoogenboom, G., 2007. "Irrigation water use estimates based on crop simulation models and kriging," Agricultural Water Management, Elsevier, vol. 89(3), pages 199-207, May.
    • Handle: RePEc:eee:agiwat:v:89:y:2007:i:3:p:199-207
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378-3774(07)00029-7
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Boken, Vijendra K. & Hoogenboom, Gerrit & Hook, James E. & Thomas, Daniel L. & Guerra, Larry C. & Harrison, Kerry A., 2004. "Agricultural water use estimation using geospatial modeling and a geographic information system," Agricultural Water Management, Elsevier, vol. 67(3), pages 185-199, July.
    2. Sousa, Vicente & Pereira, Luis Santos, 1999. "Regional analysis of irrigation water requirements using kriging: Application to potato crop (Solanum tuberosum L.) at Tras-os-Montes," Agricultural Water Management, Elsevier, vol. 40(2-3), pages 221-233, May.
    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. Adhikari, Pradip & Ale, Srinivasulu & Bordovsky, James P. & Thorp, Kelly R. & Modala, Naga R. & Rajan, Nithya & Barnes, Edward M., 2016. "Simulating future climate change impacts on seed cotton yield in the Texas High Plains using the CSM-CROPGRO-Cotton model," Agricultural Water Management, Elsevier, vol. 164(P2), pages 317-330.
    2. 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.
    3. Kögler, F. & Söffker, D., 2017. "Water (stress) models and deficit irrigation: System-theoretical description and causality mapping," Ecological Modelling, Elsevier, vol. 361(C), pages 135-156.
    4. Himanshu, Sushil K. & Ale, Srinivasulu & Bell, Jourdan & Fan, Yubing & Samanta, Sayantan & Bordovsky, James P. & Gitz III, Dennis C. & Lascano, Robert J. & Brauer, David K., 2023. "Evaluation of growth-stage-based variable deficit irrigation strategies for cotton production in the Texas High Plains," Agricultural Water Management, Elsevier, vol. 280(C).
    5. Ko, Jonghan & Piccinni, Giovanni & Steglich, Evelyn, 2009. "Using EPIC model to manage irrigated cotton and maize," Agricultural Water Management, Elsevier, vol. 96(9), pages 1323-1331, September.
    6. Salazar, M.R. & Hook, J.E. & Garcia y Garcia, A. & Paz, J.O. & Chaves, B. & Hoogenboom, G., 2012. "Estimating irrigation water use for maize in the Southeastern USA: A modeling approach," Agricultural Water Management, Elsevier, vol. 107(C), pages 104-111.
    7. 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.
    8. Hamze, Mohamad & Cheviron, Bruno & Baghdadi, Nicolas & Lo, Madiop & Courault, Dominique & Zribi, Mehrez, 2023. "Detection of irrigation dates and amounts on maize plots from the integration of Sentinel-2 derived Leaf Area Index values in the Optirrig crop model," Agricultural Water Management, Elsevier, vol. 283(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. Ito, Y. & Momii, K. & Nakagawa, K., 2009. "Modeling the water budget in a deep caldera lake and its hydrologic assessment: Lake Ikeda, Japan," Agricultural Water Management, Elsevier, vol. 96(1), pages 35-42, January.
    2. Serra, J. & Paredes, P. & Cordovil, CMdS & Cruz, S. & Hutchings, NJ & Cameira, MR, 2023. "Is irrigation water an overlooked source of nitrogen in agriculture?," Agricultural Water Management, Elsevier, vol. 278(C).
    3. Leenhardt, D. & Trouvat, J. -L. & Gonzales, G. & Perarnaud, V. & Prats, S. & Bergez, J. -E., 2004. "Estimating irrigation demand for water management on a regional scale: I. ADEAUMIS, a simulation platform based on bio-decisional modelling and spatial information," Agricultural Water Management, Elsevier, vol. 68(3), pages 207-232, August.
    4. Dina Pereira & Joao Carlos Correia Leitao & Pedro Dinis Gaspar & Cristina Fael & Isabel Falorca & Wael Khairy & Nadya Wahid & Hicham El Yousfi & Bassou Bouazzama & Jan Siering & Harald Hansmann & Jele, 2023. "Exploring Irrigation and Water Supply Technologies for Smallholder Farmers in the Mediterranean Region," Sustainability, MDPI, vol. 15(8), pages 1-25, April.
    5. Heinemann, A. B. & Hoogenboom, G. & de Faria, R. T., 2002. "Determination of spatial water requirements at county and regional levels using crop models and GIS: An example for the State of Parana, Brazil," Agricultural Water Management, Elsevier, vol. 52(3), pages 177-196, January.
    6. Boken, Vijendra K. & Hoogenboom, Gerrit & Hook, James E. & Thomas, Daniel L. & Guerra, Larry C. & Harrison, Kerry A., 2004. "Agricultural water use estimation using geospatial modeling and a geographic information system," Agricultural Water Management, Elsevier, vol. 67(3), pages 185-199, July.
    7. Paredes, Paula & D’Agostino, Daniela & Assif, Mahdi & Todorovic, Mladen & Pereira, Luis S., 2018. "Assessing potato transpiration, yield and water productivity under various water regimes and planting dates using the FAO dual Kc approach," Agricultural Water Management, Elsevier, vol. 195(C), pages 11-24.
    8. Fortes, P.S. & Platonov, A.E. & Pereira, L.S., 2005. "GISAREG--A GIS based irrigation scheduling simulation model to support improved water use," Agricultural Water Management, Elsevier, vol. 77(1-3), pages 159-179, August.
    9. Pereira, L.S. & Paredes, P. & López-Urrea, R. & Hunsaker, D.J. & Mota, M. & Mohammadi Shad, Z., 2021. "Standard single and basal crop coefficients for vegetable crops, an update of FAO56 crop water requirements approach," Agricultural Water Management, Elsevier, vol. 243(C).

    More about this item

    Statistics

    Access and download statistics

    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:89:y:2007:i:3:p:199-207. 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.