IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v246y2021ics0378377420322216.html
   My bibliography  Save this article

Evaluating optimal irrigation strategies for maize in Western Kansas

Author

Listed:
  • Araya, A.
  • Prasad, P.V.V.
  • Gowda, P.H.
  • Sharda, V.
  • Rice, C.W.
  • Ciampitti, I.A.

Abstract

A calibrated and validated Decision Support System for Agro-technology Transfer – Cropping System Model (DSSAT-CSM), CERES-Maize, was used to (1) evaluate maize (Zea mays L.) yield and water productivities (WP) under various irrigation frequencies (IRF) triggered by different plant available soil water (PASW) on three soil types, and (2) assess the optimum IRF and PASW triggers for maximum yield and water productivity on three different soils (with a depth of 1.2 m) in Finney County, Western Kansas. The treatments were four IRF (2, 4, 7, and 9 days), four PASW (5%, 25%, 50% and 75%) irrigation trigger and three soil types with a total of 48 combinations. The model was set to automatically apply 25 mm irrigation at selected day intervals when certain irrigation triggering PASW conditions were met. This study showed that maintaining higher PASW up to 75% or above might result in too many irrigations per season, which could be costly. IRF-9 showed substantially lowest yield under most PASW tested in this study. The highest yield was simulated at irrigation amount of 400–450 mm and ET of 650–800 mm depending on soil types. The highest irrigation water productivity (IWP, 30–33 kg/ha/mm) was simulated when triggered by 25% and 50% PASW for Ulysses silt loams. Overall, IRF-4 under 50% PASW threshold provided the maximum maize yield and WP for all soil types.

Suggested Citation

  • Araya, A. & Prasad, P.V.V. & Gowda, P.H. & Sharda, V. & Rice, C.W. & Ciampitti, I.A., 2021. "Evaluating optimal irrigation strategies for maize in Western Kansas," Agricultural Water Management, Elsevier, vol. 246(C).
    • Handle: RePEc:eee:agiwat:v:246:y:2021:i:c:s0378377420322216
    DOI: 10.1016/j.agwat.2020.106677
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377420322216
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2020.106677?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. Hao, Baozhen & Xue, Qingwu & Marek, Thomas H. & Jessup, Kirk E. & Hou, Xiaobo & Xu, Wenwei & Bynum, Edsel D. & Bean, Brent W., 2015. "Soil water extraction, water use, and grain yield by drought-tolerant maize on the Texas High Plains," Agricultural Water Management, Elsevier, vol. 155(C), pages 11-21.
    2. Araya, A. & Gowda, P.H. & Rad, M. Rouhi & Ariyaratne, C.B. & Ciampitti, I.A. & Rice, C.W. & Prasad, P.V.V., 2021. "Evaluating optimal irrigation for potential yield and economic performance of major crops in southwestern Kansas," Agricultural Water Management, Elsevier, vol. 244(C).
    3. Comas, Louise H. & Trout, Thomas J. & DeJonge, Kendall C. & Zhang, Huihui & Gleason, Sean M., 2019. "Water productivity under strategic growth stage-based deficit irrigation in maize," Agricultural Water Management, Elsevier, vol. 212(C), pages 433-440.
    4. Farré, I. & Faci, J.-M., 2009. "Deficit irrigation in maize for reducing agricultural water use in a Mediterranean environment," Agricultural Water Management, Elsevier, vol. 96(3), pages 383-394, March.
    5. Araya, A. & Gowda, P.H. & Golden, B. & Foster, A.J. & Aguilar, J. & Currie, R. & Ciampitti, I.A. & Prasad, P.V.V., 2019. "Economic value and water productivity of major irrigated crops in the Ogallala aquifer region," Agricultural Water Management, Elsevier, vol. 214(C), pages 55-63.
    6. Araya, A. & Kisekka, I. & Gowda, P.H. & Prasad, P.V.V., 2018. "Grain sorghum production functions under different irrigation capacities," Agricultural Water Management, Elsevier, vol. 203(C), pages 261-271.
    7. Araya, A. & Kisekka, Isaya & Gowda, Prasanna H. & Prasad, P.V. Vara, 2017. "Evaluation of water-limited cropping systems in a semi-arid climate using DSSAT-CSM," Agricultural Systems, Elsevier, vol. 150(C), pages 86-98.
    8. K.J. Boote & J.W. Jones & G. Hoogenboom & J.W. White, 2010. "The Role of Crop Systems Simulation in Agriculture and Environment," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 1(1), pages 41-54, January.
    9. Payero, Jose O. & Melvin, Steven R. & Irmak, Suat & Tarkalson, David, 2006. "Yield response of corn to deficit irrigation in a semiarid climate," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 101-112, July.
    10. DeJonge, K.C. & Ascough, J.C. & Andales, A.A. & Hansen, N.C. & Garcia, L.A. & Arabi, M., 2012. "Improving evapotranspiration simulations in the CERES-Maize model under limited irrigation," Agricultural Water Management, Elsevier, vol. 115(C), pages 92-103.
    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. Xiao, Chao & Zou, Haiyang & Fan, Junliang & Zhang, Fucang & Li, Yi & Sun, Shikun & Pulatov, Alim, 2021. "Optimizing irrigation amount and fertilization rate of drip-fertigated spring maize in northwest China based on multi-level fuzzy comprehensive evaluation model," Agricultural Water Management, Elsevier, vol. 257(C).
    2. Jha, P.K. & Araya, A. & Stewart, Z.P. & Faye, A. & Traore, H. & Middendorf, B.J. & Prasad, P.V.V., 2021. "Projecting potential impact of COVID-19 on major cereal crops in Senegal and Burkina Faso using crop simulation models," Agricultural Systems, Elsevier, vol. 190(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. Araya, A. & Gowda, P.H. & Golden, B. & Foster, A.J. & Aguilar, J. & Currie, R. & Ciampitti, I.A. & Prasad, P.V.V., 2019. "Economic value and water productivity of major irrigated crops in the Ogallala aquifer region," Agricultural Water Management, Elsevier, vol. 214(C), pages 55-63.
    2. Araya, A. & Gowda, P.H. & Rad, M. Rouhi & Ariyaratne, C.B. & Ciampitti, I.A. & Rice, C.W. & Prasad, P.V.V., 2021. "Evaluating optimal irrigation for potential yield and economic performance of major crops in southwestern Kansas," Agricultural Water Management, Elsevier, vol. 244(C).
    3. Paredes, P. & Rodrigues, G.C. & Alves, I. & Pereira, L.S., 2014. "Partitioning evapotranspiration, yield prediction and economic returns of maize under various irrigation management strategies," Agricultural Water Management, Elsevier, vol. 135(C), pages 27-39.
    4. Rouhi Rad, Mani & Haacker, Erin M.K. & Sharda, Vaishali & Nozari, Soheil & Xiang, Zaichen & Araya, A. & Uddameri, Venkatesh & Suter, Jordan F. & Gowda, Prasanna, 2020. "MOD$$AT: A hydro-economic modeling framework for aquifer management in irrigated agricultural regions," Agricultural Water Management, Elsevier, vol. 238(C).
    5. Tarkalson, David D. & King, Bradley A. & Bjorneberg, Dave L., 2022. "Maize grain yield and crop water productivity functions in the arid Northwest U.S," Agricultural Water Management, Elsevier, vol. 264(C).
    6. Kukal, M.S. & Irmak, S., 2020. "Impact of irrigation on interannual variability in United States agricultural productivity," Agricultural Water Management, Elsevier, vol. 234(C).
    7. Attia, Ahmed & El-Hendawy, Salah & Al-Suhaibani, Nasser & Alotaibi, Majed & Tahir, Muhammad Usman & Kamal, Khaled Y., 2021. "Evaluating deficit irrigation scheduling strategies to improve yield and water productivity of maize in arid environment using simulation," Agricultural Water Management, Elsevier, vol. 249(C).
    8. Espoir Mukengere Bagula & Jackson-Gilbert Mwanjalolo Majaliwa & Twaha Ali Basamba & Jean-Gomez Mubalama Mondo & Bernard Vanlauwe & Geofrey Gabiri & John-Baptist Tumuhairwe & Gustave Nachigera Mushagal, 2022. "Water Use Efficiency of Maize ( Zea mays L.) Crop under Selected Soil and Water Conservation Practices along the Slope Gradient in Ruzizi Watershed, Eastern D.R. Congo," Land, MDPI, vol. 11(10), pages 1-20, October.
    9. Rodrigues, Gonçalo C. & Paredes, Paula & Gonçalves, José M. & Alves, Isabel & Pereira, Luis S., 2013. "Comparing sprinkler and drip irrigation systems for full and deficit irrigated maize using multicriteria analysis and simulation modelling: Ranking for water saving vs. farm economic returns," Agricultural Water Management, Elsevier, vol. 126(C), pages 85-96.
    10. Kothari, Kritika & Ale, Srinivasulu & Bordovsky, James P. & Thorp, Kelly R. & Porter, Dana O. & Munster, Clyde L., 2019. "Simulation of efficient irrigation management strategies for grain sorghum production over different climate variability classes," Agricultural Systems, Elsevier, vol. 170(C), pages 49-62.
    11. Mansouri-Far, Cyrus & Modarres Sanavy, Seyed Ali Mohammad & Saberali, Seyed Farhad, 2010. "Maize yield response to deficit irrigation during low-sensitive growth stages and nitrogen rate under semi-arid climatic conditions," Agricultural Water Management, Elsevier, vol. 97(1), pages 12-22, January.
    12. Jha, P.K. & Araya, A. & Stewart, Z.P. & Faye, A. & Traore, H. & Middendorf, B.J. & Prasad, P.V.V., 2021. "Projecting potential impact of COVID-19 on major cereal crops in Senegal and Burkina Faso using crop simulation models," Agricultural Systems, Elsevier, vol. 190(C).
    13. Knowling, Matthew J. & Walker, Rob R. & Pellegrino, Anne & Edwards, Everard J. & Westra, Seth & Collins, Cassandra & Ostendorf, Bertram & Bennett, Bree, 2023. "Generalized water production relations through process-based modeling: A viticulture example," Agricultural Water Management, Elsevier, vol. 280(C).
    14. Fan, Yubing & Himanshu, Sushil K. & Ale, Srinivasulu & DeLaune, Paul B. & Zhang, Tian & Park, Seong C. & Colaizzi, Paul D. & Evett, Steven R. & Baumhardt, R. Louis, 2022. "The synergy between water conservation and economic profitability of adopting alternative irrigation systems for cotton production in the Texas High Plains," Agricultural Water Management, Elsevier, vol. 262(C).
    15. Zhou, Qing & Zhang, Yali & Wu, Feng, 2021. "Evaluation of the most proper management scale on water use efficiency and water productivity: A case study of the Heihe River Basin, China," Agricultural Water Management, Elsevier, vol. 246(C).
    16. Singh, Sukhbir & Boote, Kenneth J. & Angadi, Sangamesh V. & Grover, Kulbhushan K., 2017. "Estimating water balance, evapotranspiration and water use efficiency of spring safflower using the CROPGRO model," Agricultural Water Management, Elsevier, vol. 185(C), pages 137-144.
    17. Xiang, Zaichen & Bailey, Ryan T. & Nozari, Soheil & Husain, Zainab & Kisekka, Isaya & Sharda, Vaishali & Gowda, Prasanna, 2020. "DSSAT-MODFLOW: A new modeling framework for exploring groundwater conservation strategies in irrigated areas," Agricultural Water Management, Elsevier, vol. 232(C).
    18. Kresović, Branka & Tapanarova, Angelina & Tomić, Zorica & Životić, Ljubomir & Vujović, Dragan & Sredojević, Zorica & Gajić, Boško, 2016. "Grain yield and water use efficiency of maize as influenced by different irrigation regimes through sprinkler irrigation under temperate climate," Agricultural Water Management, Elsevier, vol. 169(C), pages 34-43.
    19. Rivera-Hernández, B. & Carrillo-Ávila, E. & Obrador-Olán, J.J. & Juárez-López, J.F. & Aceves-Navarro, L.A., 2010. "Morphological quality of sweet corn (Zea mays L.) ears as response to soil moisture tension and phosphate fertilization in Campeche, Mexico," Agricultural Water Management, Elsevier, vol. 97(9), pages 1365-1374, September.
    20. DeJonge, K.C. & Ascough, J.C. & Andales, A.A. & Hansen, N.C. & Garcia, L.A. & Arabi, M., 2012. "Improving evapotranspiration simulations in the CERES-Maize model under limited irrigation," Agricultural Water Management, Elsevier, vol. 115(C), pages 92-103.

    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:246:y:2021:i:c:s0378377420322216. 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.