IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v6y2016i3p42-d77064.html
   My bibliography  Save this article

Irrigation Analysis Based on Long-Term Weather Data

Author

Listed:
  • James R. Mahan

    (Cropping Systems Research Laboratory, USDA-ARS, 3810 4th Street, Lubbock, TX 79415, USA)

  • Robert J. Lascano

    (Cropping Systems Research Laboratory, USDA-ARS, 3810 4th Street, Lubbock, TX 79415, USA)

Abstract

Irrigation management is based upon delivery of water to a crop in the correct amount and time, and the crop’s water need is determined by calculating evapotranspiration (ET) using weather data. In 1994, an ET-network was established in the Texas High Plains to manage irrigation on a regional scale. Though producers used the ET-network, by 2010 public access was discontinued. Why did producers allow a valuable irrigation-management tool to be eliminated? Our objective was to analyze the effect of declining well capacities on the usefulness of cotton ET (ET c ) for irrigation. Thirty years (1975–2004) of daily ET c data were used to compare irrigation demand vs. irrigation responses at four locations, analyzed for multiple years and range of well capacities for three irrigation-intervals. Results indicated that when well capacities declined to the point that over-irrigation was not possible, the lower well capacities reduced the value of ET c in terms of the number of irrigations and total amount of water applied. At well capacities <1514 L·min −1 the fraction of irrigations for which ET c information was used to determine the irrigation amount was <35% across years and irrigation intervals. The value of an ET c -based irrigation may fall into disuse when irrigation-water supplies decline.

Suggested Citation

  • James R. Mahan & Robert J. Lascano, 2016. "Irrigation Analysis Based on Long-Term Weather Data," Agriculture, MDPI, vol. 6(3), pages 1-16, August.
    • Handle: RePEc:gam:jagris:v:6:y:2016:i:3:p:42-:d:77064
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/6/3/42/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/6/3/42/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jagtap, S. S. & Jones, J. W. & Hildebrand, P. & Letson, D. & O'Brien, J. J. & Podesta, G. & Zierden, D. & Zazueta, F., 2002. "Responding to stakeholder's demands for climate information: from research to applications in Florida," Agricultural Systems, Elsevier, vol. 74(3), pages 415-430, December.
    2. Kenkel, Philip L. & Norris, Patricia E., 1995. "Agricultural Producers' Willingness To Pay For Real-Time Mesoscale Weather Information," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 20(2), pages 1-17, 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. Goebel, Timothy S. & Lascano, Robert J., 2019. "Rainwater use by cotton under subsurface drip and center pivot irrigation," Agricultural Water Management, Elsevier, vol. 215(C), pages 1-7.
    2. Domínguez, Alfonso & Schwartz, Robert C. & Pardo, José J. & Guerrero, Bridget & Bell, Jourdan M. & Colaizzi, Paul D. & Louis Baumhardt, R., 2022. "Center pivot irrigation capacity effects on maize yield and profitability in the Texas High Plains," Agricultural Water Management, Elsevier, vol. 261(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. Parcell, Joe L. & Kastens, Terry L. & Dhuyvetter, Kevin C. & Schroeder, Ted C., 2000. "Agricultural Economists' Effectiveness in Reporting and Conveying Research Procedures and Results," Agricultural and Resource Economics Review, Cambridge University Press, vol. 29(2), pages 173-182, October.
    2. Velandia, Margarita & Jensen, Kimberly & DeLong, Karen L. & Wszelaki, Annette & Rihn, Alicia, 2020. "Tennessee Fruit and Vegetable Farmer Preferences and Willingness to Pay for Plastic Biodegradable Mulch," Journal of Food Distribution Research, Food Distribution Research Society, vol. 51(3), November.
    3. Lusk, Jayson L., 2016. "From Farm Income to Food Consumption: Valuing USDA Data Products," C-FARE Reports 266593, Council on Food, Agricultural, and Resource Economics (C-FARE).
    4. Sardorbek Musayev & Jonathan Mellor & Tara Walsh & Emmanouil Anagnostou, 2022. "Application of Agent-Based Modeling in Agricultural Productivity in Rural Area of Bahir Dar, Ethiopia," Forecasting, MDPI, vol. 4(1), pages 1-22, March.
    5. Mavromatis, T., 2016. "Spatial resolution effects on crop yield forecasts: An application to rainfed wheat yield in north Greece with CERES-Wheat," Agricultural Systems, Elsevier, vol. 143(C), pages 38-48.
    6. Gillespie, Jeffrey & Lewis, Darius, 2008. "Processor Willingness to Adopt a Crawfish Peeling Machine: An Application of Technology Adoption under Uncertainty," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 40(1), pages 369-383, April.
    7. Samuel D. Zapata & Carlos E. Carpio, 2014. "The theoretical structure of producer willingness to pay estimates," Agricultural Economics, International Association of Agricultural Economists, vol. 45(5), pages 613-623, September.
    8. Tianwei Geng & Hai Chen & Di Liu & Qinqin Shi & Hang Zhang, 2021. "Research on Mediating Mechanisms and the Impact on Food Provision Services in Poor Areas from the Perspective of Stakeholders," IJERPH, MDPI, vol. 18(19), pages 1-18, October.
    9. Bonfante, A. & Alfieri, S.M. & Albrizio, R. & Basile, A. & De Mascellis, R. & Gambuti, A. & Giorio, P. & Langella, G. & Manna, P. & Monaco, E. & Moio, L. & Terribile, F., 2017. "Evaluation of the effects of future climate change on grape quality through a physically based model application: a case study for the Aglianico grapevine in Campania region, Italy," Agricultural Systems, Elsevier, vol. 152(C), pages 100-109.
    10. Zapata, Samuel D. & Carpio, Carlos E., 2014. "Distribution-free Methods for Estimation of Willingness to Pay Models Using Discrete Response Valuation Data," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170453, Agricultural and Applied Economics Association.
    11. Ngugi, Daniel & Mukundu, Denford & Epperson, James E. & Acheampong, Yvonne J., 2003. "Determinants of Household Participation in Rural Development Projects," 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama 35251, Southern Agricultural Economics Association.
    12. Brad Hartman & Harvey Cutler & Martin Shields & Dave Turner, 2021. "The economic effects of improved precipitation forecasts in the United States due to better commuting decisions," Growth and Change, Wiley Blackwell, vol. 52(4), pages 2149-2171, December.
    13. Seon-Ae Kim & Jeffrey M. Gillespie & Krishna P. Paudel, 2008. "Rotational grazing adoption in cattle production under a cost-share agreement: does uncertainty have a role in conservation technology adoption?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(3), pages 235-252, September.
    14. Cabrera, Victor E. & Letson, David & Podesta, Guillermo, 2007. "The value of climate information when farm programs matter," Agricultural Systems, Elsevier, vol. 93(1-3), pages 25-42, March.
    15. Marshall, N.A. & Park, S. & Howden, S.M. & Dowd, A.B. & Jakku, E.S., 2013. "Climate change awareness is associated with enhanced adaptive capacity," Agricultural Systems, Elsevier, vol. 117(C), pages 30-34.
    16. Hansen, James W., 2002. "Realizing the potential benefits of climate prediction to agriculture: issues, approaches, challenges," Agricultural Systems, Elsevier, vol. 74(3), pages 309-330, December.
    17. Huang, Jingyi & Hartemink, Alfred E. & Kucharik, Christopher J., 2021. "Soil-dependent responses of US crop yields to climate variability and depth to groundwater," Agricultural Systems, Elsevier, vol. 190(C).
    18. Sarah P. Church & Michael Dunn & Nicholas Babin & Amber Saylor Mase & Tonya Haigh & Linda S. Prokopy, 2018. "Do advisors perceive climate change as an agricultural risk? An in-depth examination of Midwestern U.S. Ag advisors’ views on drought, climate change, and risk management," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 35(2), pages 349-365, June.
    19. Senakpon, Kokoye, 2017. "Farmers’ Willingness To Pay For Soil Testing Service In Northern Haiti," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252804, Southern Agricultural Economics Association.
    20. Cohen, Daniel R. & Zilberman, David, 1997. "Actual Versus Stated Willingness To Pay: A Comment," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 22(2), pages 1-6, December.

    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:gam:jagris:v:6:y:2016:i:3:p:42-:d:77064. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.