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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
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    References listed on IDEAS

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    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.
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    Cited by:

    1. 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).
    2. 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.

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