IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v115y2012icp92-103.html
   My bibliography  Save this article

Improving evapotranspiration simulations in the CERES-Maize model under limited irrigation

Author

Listed:
  • DeJonge, K.C.
  • Ascough, J.C.
  • Andales, A.A.
  • Hansen, N.C.
  • Garcia, L.A.
  • Arabi, M.

Abstract

Limitations on water resources for agriculture in places such as Colorado, USA, have caused farmers to consider limited irrigation as an alternative to full irrigation practices, where the crop is intentionally stressed during specific growth stages in an effort to maximize yield per unit water consumed, or evapotranspiration (ET). While crop growth models such as CERES-Maize provide the ability to evaluate numerous management scenarios without the costs associated with multiyear field experiments, recent studies have shown that CERES-Maize performs well under full irrigation but overestimates ET of corn under limited irrigation management. The primary objective of this study was to improve CERES-Maize ET simulation under limited irrigation management while maintaining accuracy of other important model output responses. Field experiments with corn were performed in northern Colorado, USA from 2006 to 2010, where four replicates each of full (ET requirement supplied by irrigation throughout the season) and limited (no irrigation before the V12 growth stage unless necessary for emergence, then full irrigation afterwards) irrigation treatments were analyzed. The local sensitivity of model input parameters affecting ET was evaluated, prompting changes to the model code with a new dynamic crop coefficient (KCD) as a function of the crop leaf area index. The modified CERES-Maize model more accurately represented ET under full and limited irrigation, for example reducing late-season ET potential from a plant with reduced canopy and more closely matched FAO-56 crop coefficient curves under full irrigation. Using the limited irrigation data for evaluation, the modified model showed significant decreases in model error for seasonal cumulative ET (root mean square deviation RMSD from 80.9mm to 49.9mm) and water productivity (RMSD from 5.97kgha−1mm−1 to 2.86kgha−1mm−1) as compared to the original model. The modified model was subsequently applied to several hypothetical irrigation management strategies, indicating that reducing weekly vegetative stage water applications from 20mm to 2.5mm can increase simulated water productivity by over 15%. While these synthetic water production functions may not be feasible in a production field with natural climate variability, the modified ET model indicates promise for limited irrigation management increasing water productivity.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:agiwat:v:115:y:2012:i:c:p:92-103
    DOI: 10.1016/j.agwat.2012.08.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377412002272
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2012.08.013?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. Duchemin, B. & Hadria, R. & Erraki, S. & Boulet, G. & Maisongrande, P. & Chehbouni, A. & Escadafal, R. & Ezzahar, J. & Hoedjes, J.C.B. & Kharrou, M.H. & Khabba, S. & Mougenot, B. & Olioso, A. & Rodrig, 2006. "Monitoring wheat phenology and irrigation in Central Morocco: On the use of relationships between evapotranspiration, crops coefficients, leaf area index and remotely-sensed vegetation indices," Agricultural Water Management, Elsevier, vol. 79(1), pages 1-27, January.
    2. Payero, J.O. & Tarkalson, D.D. & Irmak, S. & Davison, D. & Petersen, J.L., 2009. "Effect of timing of a deficit-irrigation allocation on corn evapotranspiration, yield, water use efficiency and dry mass," Agricultural Water Management, Elsevier, vol. 96(10), pages 1387-1397, October.
    3. Ko, Jonghan & Piccinni, Giovanni, 2009. "Corn yield responses under crop evapotranspiration-based irrigation management," Agricultural Water Management, Elsevier, vol. 96(5), pages 799-808, May.
    4. DeJonge, Kendall C. & Ascough, James C. & Ahmadi, Mehdi & Andales, Allan A. & Arabi, Mazdak, 2012. "Global sensitivity and uncertainty analysis of a dynamic agroecosystem model under different irrigation treatments," Ecological Modelling, Elsevier, vol. 231(C), pages 113-125.
    5. 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.
    6. 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.
    7. Kang, Shaozhong & Gu, Binjie & Du, Taisheng & Zhang, Jianhua, 2003. "Crop coefficient and ratio of transpiration to evapotranspiration of winter wheat and maize in a semi-humid region," Agricultural Water Management, Elsevier, vol. 59(3), pages 239-254, April.
    8. 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. 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.
    2. 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.
    3. 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.
    4. Shao, Guomin & Han, Wenting & Zhang, Huihui & Liu, Shouyang & Wang, Yi & Zhang, Liyuan & Cui, Xin, 2021. "Mapping maize crop coefficient Kc using random forest algorithm based on leaf area index and UAV-based multispectral vegetation indices," Agricultural Water Management, Elsevier, vol. 252(C).
    5. Seidel, S.J. & Barfus, K. & Gaiser, T. & Nguyen, T.H. & Lazarovitch, N., 2019. "The influence of climate variability, soil and sowing date on simulation-based crop coefficient curves and irrigation water demand," Agricultural Water Management, Elsevier, vol. 221(C), pages 73-83.
    6. Yao, Ning & Li, Yi & Xu, Fang & Liu, Jian & Chen, Shang & Ma, Haijiao & Wai Chau, Henry & Liu, De Li & Li, Meng & Feng, Hao & Yu, Qiang & He, Jianqiang, 2020. "Permanent wilting point plays an important role in simulating winter wheat growth under water deficit conditions," Agricultural Water Management, Elsevier, vol. 229(C).
    7. Adeboye, Omotayo B. & Schultz, Bart & Adekalu, Kenneth O. & Prasad, Krishna C., 2019. "Performance evaluation of AquaCrop in simulating soil water storage, yield, and water productivity of rainfed soybeans (Glycine max L. merr) in Ile-Ife, Nigeria," Agricultural Water Management, Elsevier, vol. 213(C), pages 1130-1146.
    8. Ágota Horel & Tibor Zsigmond & Csilla Farkas & Györgyi Gelybó & Eszter Tóth & Anikó Kern & Zsófia Bakacsi, 2022. "Climate Change Alters Soil Water Dynamics under Different Land Use Types," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    9. Linker, Raphael, 2021. "Stochastic model-based optimization of irrigation scheduling," Agricultural Water Management, Elsevier, vol. 243(C).
    10. Qaisar Saddique & Huanjie Cai & Jiatun Xu & Ali Ajaz & Jianqiang He & Qiang Yu & Yunfei Wang & Hui Chen & Muhammad Imran Khan & De Li Liu & Liang He, 2020. "Analyzing adaptation strategies for maize production under future climate change in Guanzhong Plain, China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(8), pages 1523-1543, December.
    11. 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).
    12. Campana, P.E. & Lastanao, P. & Zainali, S. & Zhang, J. & Landelius, T. & Melton, F., 2022. "Towards an operational irrigation management system for Sweden with a water–food–energy nexus perspective," Agricultural Water Management, Elsevier, vol. 271(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. Seyed Ahmadi & Elnaz Mosallaeepour & Ali Kamgar-Haghighi & Ali Sepaskhah, 2015. "Modeling Maize Yield and Soil Water Content with AquaCrop Under Full and Deficit Irrigation Managements," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2837-2853, June.
    15. Chen, Shilei & Huo, Zailin & Xu, Xu & Huang, Guanhua, 2019. "A conceptual agricultural water productivity model considering under field capacity soil water redistribution applicable for arid and semi-arid areas with deep groundwater," Agricultural Water Management, Elsevier, vol. 213(C), pages 309-323.
    16. Pereira, L.S. & Paredes, P. & Jovanovic, N., 2020. "Soil water balance models for determining crop water and irrigation requirements and irrigation scheduling focusing on the FAO56 method and the dual Kc approach," Agricultural Water Management, Elsevier, vol. 241(C).
    17. 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.
    18. Dokoohaki, Hamze & Gheysari, Mahdi & Mousavi, Sayed-Farhad & Zand-Parsa, Shahrokh & Miguez, Fernando E. & Archontoulis, Sotirios V. & Hoogenboom, Gerrit, 2016. "Coupling and testing a new soil water module in DSSAT CERES-Maize model for maize production under semi-arid condition," Agricultural Water Management, Elsevier, vol. 163(C), pages 90-99.
    19. DeJonge, Kendall C. & Taghvaeian, Saleh & Trout, Thomas J. & Comas, Louise H., 2015. "Comparison of canopy temperature-based water stress indices for maize," Agricultural Water Management, Elsevier, vol. 156(C), pages 51-62.
    20. Kisekka, I. & Schlegel, A. & Ma, L. & Gowda, P.H. & Prasad, P.V.V., 2017. "Optimizing preplant irrigation for maize under limited water in the High Plains," Agricultural Water Management, Elsevier, vol. 187(C), pages 154-163.
    21. 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.
    22. 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).

    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. Mohammed, Ali T. & Irmak, Suat, 2022. "Maize response to irrigation and nitrogen under center pivot, subsurface drip and furrow irrigation: Water productivity, basal evapotranspiration and yield response factors," Agricultural Water Management, Elsevier, vol. 271(C).
    2. 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.
    3. 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.
    4. Kukal, M.S. & Irmak, S., 2020. "Characterization of water use and productivity dynamics across four C3 and C4 row crops under optimal growth conditions," Agricultural Water Management, Elsevier, vol. 227(C).
    5. Ma, Shou-Chen & Zhang, Wei-Qiang & Duan, Ai-Wang & Wang, Tong-Chao, 2019. "Effects of controlling soil moisture regime based on root-sourced signal characteristics on yield formation and water use efficiency of winter wheat," Agricultural Water Management, Elsevier, vol. 221(C), pages 486-492.
    6. Greaves, Geneille E. & Wang, Yu-Min, 2017. "Effect of regulated deficit irrigation scheduling on water use of corn in southern Taiwan tropical environment," Agricultural Water Management, Elsevier, vol. 188(C), pages 115-125.
    7. Domínguez, A. & Martínez, R.S. & de Juan, J.A. & Martínez-Romero, A. & Tarjuelo, J.M., 2012. "Simulation of maize crop behavior under deficit irrigation using MOPECO model in a semi-arid environment," Agricultural Water Management, Elsevier, vol. 107(C), pages 42-53.
    8. Motazedian, Azam & Kazemeini, Seyed Abdolreza & Bahrani, Mohammad Jafar, 2019. "Sweet corn growth and GrainYield as influenced by irrigation and wheat residue management," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    9. Murley, Cameron B. & Sharma, Sumit & Warren, Jason G. & Arnall, Daryl B. & Raun, William R., 2018. "Yield response of corn and grain sorghum to row offsets on subsurface drip laterals," Agricultural Water Management, Elsevier, vol. 208(C), pages 357-362.
    10. 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.
    11. Kukal, M.S. & Irmak, S., 2020. "Impact of irrigation on interannual variability in United States agricultural productivity," Agricultural Water Management, Elsevier, vol. 234(C).
    12. Qin, Shujing & Li, Sien & Kang, Shaozhong & Du, Taisheng & Tong, Ling & Ding, Risheng & Wang, Yahui & Guo, Hui, 2019. "Transpiration of female and male parents of seed maize in northwest China," Agricultural Water Management, Elsevier, vol. 213(C), pages 397-409.
    13. Zou, Haiyang & Fan, Junliang & Zhang, Fucang & Xiang, Youzhen & Wu, Lifeng & Yan, Shicheng, 2020. "Optimization of drip irrigation and fertilization regimes for high grain yield, crop water productivity and economic benefits of spring maize in Northwest China," Agricultural Water Management, Elsevier, vol. 230(C).
    14. Karandish, Fatemeh & Šimůnek, Jiří, 2016. "A field-modeling study for assessing temporal variations of soil-water-crop interactions under water-saving irrigation strategies," Agricultural Water Management, Elsevier, vol. 178(C), pages 291-303.
    15. 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.
    16. 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.
    17. Sharma, Vasudha & Irmak, Suat, 2021. "Comparative analyses of variable and fixed rate irrigation and nitrogen management for maize in different soil types: Part II. Growth, grain yield, evapotranspiration, production functions and water p," Agricultural Water Management, Elsevier, vol. 246(C).
    18. 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.
    19. 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.
    20. Ertek, A. & Kara, B., 2013. "Yield and quality of sweet corn under deficit irrigation," Agricultural Water Management, Elsevier, vol. 129(C), pages 138-144.

    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:115:y:2012:i:c:p:92-103. 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.