IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v157y2015icp65-77.html
   My bibliography  Save this article

Developing and normalizing average corn crop water production functions across years and locations using a system model

Author

Listed:
  • Saseendran, S.A.
  • Ahuja, Lajpat R.
  • Ma, Liwang
  • Trout, Thomas J.
  • McMaster, Gregory S.
  • Nielsen, David C.
  • Ham, Jay M.
  • Andales, Allan A.
  • Halvorson, Ardel D.
  • Chávez, José L.
  • Fang, Quanxiao X.

Abstract

Crop water production functions (CWPFs) are often expressed as crop yield vs. consumptive water use or irrigation water applied. CWPFs are helpful for optimizing management of limited water resources, but are site-specific and vary from year to year, especially when yield is expressed as a function of irrigation water applied. Designing limited irrigation practices requires deriving CWPFs from long-term field data to account for variation in precipitation and other climatic variables at a location. However, long-term field experimental data are seldom available. We developed location-specific (soil and climate) long-term averaged CWPFs for corn (Zea mays L.) using the Root Zone Water Quality Model (RZWQM2) and 20 years (1992–2011) of historical weather data from three counties of Colorado. Mean CWPFs as functions of crop evapotranspiration (ET), ET due to irrigation (ETa–d), irrigation (I), and plant water supply (PWS=effective rainfall+plant available water in the soil profile at planting+applied irrigation) were developed for three soil types at each location. Normalization of the developed CWPF across soils and climates was also developed. A Cobb–Douglas type response function was used to explain the mean yield responses to applied irrigations and extend the CWPFs for drip, sprinkler and surface irrigation methods, respectively, assuming irrigation application efficiencies of 95, 85 and 55%, respectively. The CWPFs developed for corn, and other crops, are being used in an optimizer program for decision support in limited irrigation water management in Colorado.

Suggested Citation

  • Saseendran, S.A. & Ahuja, Lajpat R. & Ma, Liwang & Trout, Thomas J. & McMaster, Gregory S. & Nielsen, David C. & Ham, Jay M. & Andales, Allan A. & Halvorson, Ardel D. & Chávez, José L. & Fang, Quanxia, 2015. "Developing and normalizing average corn crop water production functions across years and locations using a system model," Agricultural Water Management, Elsevier, vol. 157(C), pages 65-77.
    • Handle: RePEc:eee:agiwat:v:157:y:2015:i:c:p:65-77
    DOI: 10.1016/j.agwat.2014.09.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037837741400273X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2014.09.002?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. Geerts, Sam & Raes, Dirk, 2009. "Deficit irrigation as an on-farm strategy to maximize crop water productivity in dry areas," Agricultural Water Management, Elsevier, vol. 96(9), pages 1275-1284, September.
    2. Ma, L. & Hoogenboom, G. & Ahuja, L.R. & Ascough II, J.C. & Saseendran, S.A., 2006. "Evaluation of the RZWQM-CERES-Maize hybrid model for maize production," Agricultural Systems, Elsevier, vol. 87(3), pages 274-295, March.
    3. Tolk, J.A. & Howell, T.A., 2008. "Field water supply:yield relationships of grain sorghum grown in three USA Southern Great Plains soils," Agricultural Water Management, Elsevier, vol. 95(12), pages 1303-1313, December.
    4. 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.
    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. Lu, Shibao & Bai, Xiao & Li, Wei & Wang, Ning, 2019. "Impacts of climate change on water resources and grain production," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 76-84.
    2. Žalud, Zdeněk & Hlavinka, Petr & Prokeš, Karel & Semerádová, Daniela & Balek Jan, & Trnka, Miroslav, 2017. "Impacts of water availability and drought on maize yield – A comparison of 16 indicators," Agricultural Water Management, Elsevier, vol. 188(C), pages 126-135.
    3. Anapalli, Saseendran S. & Pinnamaneni, Srinivasa R. & Reddy, Krishna N. & Sui, Ruixiu & Singh, Gurbir, 2022. "Investigating soybean (Glycine max L.) responses to irrigation on a large-scale farm in the humid climate of the Mississippi Delta region," Agricultural Water Management, Elsevier, vol. 262(C).
    4. Anapalli, Saseendran S. & Fisher, Daniel K. & Pinnamaneni, Srinivasa Rao & Reddy, Krishna N., 2020. "Quantifying evapotranspiration and crop coefficients for cotton (Gossypium hirsutum L.) using an eddy covariance approach," Agricultural Water Management, Elsevier, vol. 233(C).
    5. Jiang, Yao & Xu, Xu & Huang, Quanzhong & Huo, Zailin & Huang, Guanhua, 2016. "Optimizing regional irrigation water use by integrating a two-level optimization model and an agro-hydrological model," Agricultural Water Management, Elsevier, vol. 178(C), pages 76-88.
    6. Ma, L. & Ahuja, L.R. & Islam, A. & Trout, T.J. & Saseendran, S.A. & Malone, R.W., 2017. "Modeling yield and biomass responses of maize cultivars to climate change under full and deficit irrigation," Agricultural Water Management, Elsevier, vol. 180(PA), pages 88-98.
    7. Zhang, Bangbang & Feng, Gary & Read, John J. & Kong, Xiangbin & Ouyang, Ying & Adeli, Ardeshir & Jenkins, Johnie N., 2016. "Simulating soybean productivity under rainfed conditions for major soil types using APEX model in East Central Mississippi," Agricultural Water Management, Elsevier, vol. 177(C), pages 379-391.
    8. Zhang, Bangbang & Feng, Gary & Ahuja, Lajpat R. & Kong, Xiangbin & Ouyang, Ying & Adeli, Ardeshir & Jenkins, Johnie N., 2018. "Soybean crop-water production functions in a humid region across years and soils determined with APEX model," Agricultural Water Management, Elsevier, vol. 204(C), pages 180-191.
    9. Martínez-Romero, A. & López-Urrea, R. & Montoya, F. & Pardo, J.J. & Domínguez, A., 2021. "Optimization of irrigation scheduling for barley crop, combining AquaCrop and MOPECO models to simulate various water-deficit regimes," Agricultural Water Management, Elsevier, vol. 258(C).
    10. 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).
    11. Shaofeng Jia & Qiubo Long & Raymond Yu Wang & Jiabo Yan & Deyong Kang, 2016. "On the Inapplicability of the Cobb-Douglas Production Function for Estimating the Benefit of Water Use and the Value of Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3645-3650, August.
    12. Zhang, Xiaoxing & Guo, Ping & Zhang, Fan & Liu, Xiao & Yue, Qiong & Wang, Youzhi, 2021. "Optimal irrigation water allocation in Hetao Irrigation District considering decision makers’ preference under uncertainties," Agricultural Water Management, Elsevier, vol. 246(C).
    13. Zhang, Jie & Campana, Pietro Elia & Yao, Tian & Zhang, Yang & Lundblad, Anders & Melton, Forrest & Yan, Jinyue, 2018. "The water-food-energy nexus optimization approach to combat agricultural drought: a case study in the United States," Applied Energy, Elsevier, vol. 227(C), pages 449-464.

    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. 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.
    2. Carlos Bautista-Capetillo & Hugo Márquez-Villagrana & Anuard Pacheco-Guerrero & Julián González-Trinidad & Hugo Júnez-Ferreira & Manuel Zavala-Trejo, 2018. "Cropping System Diversification: Water Consumption against Crop Production," Sustainability, MDPI, vol. 10(7), pages 1-11, June.
    3. Neal, J.S. & Fulkerson, W.J. & Hacker, R.B., 2011. "Differences in water use efficiency among annual forages used by the dairy industry under optimum and deficit irrigation," Agricultural Water Management, Elsevier, vol. 98(5), pages 759-774, March.
    4. Benjamin, J.G. & Nielsen, D.C. & Vigil, M.F. & Mikha, M.M. & Calderon, F., 2015. "Cumulative deficit irrigation effects on corn biomass and grain yield under two tillage systems," Agricultural Water Management, Elsevier, vol. 159(C), pages 107-114.
    5. Manning, Dale T. & Lurbé, Salvador & Comas, Louise H. & Trout, Thomas J. & Flynn, Nora & Fonte, Steven J., 2018. "Economic viability of deficit irrigation in the Western US," Agricultural Water Management, Elsevier, vol. 196(C), pages 114-123.
    6. 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.
    7. Geerts, Sam & Raes, Dirk, 2009. "Deficit irrigation as an on-farm strategy to maximize crop water productivity in dry areas," Agricultural Water Management, Elsevier, vol. 96(9), pages 1275-1284, September.
    8. 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.
    9. Kifle, Mulubrehan & Gebretsadikan, T.G., 2016. "Yield and water use efficiency of furrow irrigated potato under regulated deficit irrigation, Atsibi-Wemberta, North Ethiopia," Agricultural Water Management, Elsevier, vol. 170(C), pages 133-139.
    10. Garg, N.K. & Dadhich, Sushmita M., 2014. "A proposed method to determine yield response factors of different crops under deficit irrigation using inverse formulation approach," Agricultural Water Management, Elsevier, vol. 137(C), pages 68-74.
    11. Komlan Koudahe & Aleksey Y. Sheshukov & Jonathan Aguilar & Koffi Djaman, 2021. "Irrigation-Water Management and Productivity of Cotton: A Review," Sustainability, MDPI, vol. 13(18), pages 1-21, September.
    12. Stepanovic, Strahinja & Rudnick, Daran & Kruger, Greg, 2021. "Impact of maize hybrid selection on water productivity under deficit irrigation in semiarid western Nebraska," Agricultural Water Management, Elsevier, vol. 244(C).
    13. Singh, Sukhbir & Angadi, Sangamesh V. & Grover, Kulbhushan K. & Hilaire, Rolston St. & Begna, Sultan, 2016. "Effect of growth stage based irrigation on soil water extraction and water use efficiency of spring safflower cultivars," Agricultural Water Management, Elsevier, vol. 177(C), pages 432-439.
    14. Andarzian, B. & Bannayan, M. & Steduto, P. & Mazraeh, H. & Barati, M.E. & Barati, M.A. & Rahnama, A., 2011. "Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran," Agricultural Water Management, Elsevier, vol. 100(1), pages 1-8.
    15. Gheysari, Mahdi & Mirlatifi, Seyed Majid & Bannayan, Mohammad & Homaee, Mehdi & Hoogenboom, Gerrit, 2009. "Interaction of water and nitrogen on maize grown for silage," Agricultural Water Management, Elsevier, vol. 96(5), pages 809-821, May.
    16. Koffi Djaman & Suat Irmak & Komlan Koudahe & Samuel Allen, 2021. "Irrigation Management in Potato ( Solanum tuberosum L.) Production: A Review," Sustainability, MDPI, vol. 13(3), pages 1-19, February.
    17. Iqbal, M. Anjum & Bodner, G. & Heng, L.K. & Eitzinger, J. & Hassan, A., 2010. "Assessing yield optimization and water reduction potential for summer-sown and spring-sown maize in Pakistan," Agricultural Water Management, Elsevier, vol. 97(5), pages 731-737, May.
    18. Li, Xiaolin & Tong, Ling & Niu, Jun & Kang, Shaozhong & Du, Taisheng & Li, Sien & Ding, Risheng, 2017. "Spatio-temporal distribution of irrigation water productivity and its driving factors for cereal crops in Hexi Corridor, Northwest China," Agricultural Water Management, Elsevier, vol. 179(C), pages 55-63.
    19. Giulio Sperandio & Mauro Pagano & Andrea Acampora & Vincenzo Civitarese & Carla Cedrola & Paolo Mattei & Roberto Tomasone, 2022. "Deficit Irrigation for Efficiency and Water Saving in Poplar Plantations," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    20. Han, Ming & Zhang, Huihui & DeJonge, Kendall C. & Comas, Louise H. & Gleason, Sean, 2018. "Comparison of three crop water stress index models with sap flow measurements in maize," Agricultural Water Management, Elsevier, vol. 203(C), pages 366-375.

    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:157:y:2015:i:c:p:65-77. 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.