IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v243y2021ics0378377420306946.html
   My bibliography  Save this article

Modeling the response of dry bean yield to irrigation water availability controlled by watershed hydrology

Author

Listed:
  • Mompremier, R.
  • Her, Y.
  • Hoogenboom, G.
  • Migliaccio, K.
  • Muñoz-Carpena, R.
  • Brym, Z.
  • Colbert, R.W.
  • Jeune, W.

Abstract

The effectiveness of agricultural productivity is dependent on the availability of ambient natural resources as well as on the efficiency of on-site management practices. The overall understanding of a production system can help with finding management options that enable for the available resources to be used more efficiently and thus improving productivity. We investigated the response of dry bean (Phaseolus vulgaris L) yield to water availability in an irrigation district controlled by off-site hydrology to show how integrated knowledge can benefit agricultural production. This study focused on an agricultural system where an upstream watershed provided water for dry bean production in its downstream irrigation district in Haiti. Dry bean growth was mathematically represented using the Cropping System Model (CSM)-CROPGRO-Dry bean model of the Decision Support System for Agrotechnology Transfer (DSSAT). The upstream runoff was measured to quantify irrigation water availability changes over time. The cultivar parameters of the dry bean model were calibrated to minimize differences between simulated and observed dry bean growth and yield. The model was then used to determine long-term dry bean response to water availability scenarios, including fifteen combinations of five growing periods and three irrigation conditions. The results showed that dry bean productivity was closely associated with the upstream watershed hydrology and that growing dry bean earlier than the standard management scenario (December to March) increased predicted dry bean yield by over 80 % with the available water resources and associated temporal variability. These findings indicate that an integrated systems approach could improve dry bean production by identifying alternative management practices to use the available water more efficiently.

Suggested Citation

  • Mompremier, R. & Her, Y. & Hoogenboom, G. & Migliaccio, K. & Muñoz-Carpena, R. & Brym, Z. & Colbert, R.W. & Jeune, W., 2021. "Modeling the response of dry bean yield to irrigation water availability controlled by watershed hydrology," Agricultural Water Management, Elsevier, vol. 243(C).
    • Handle: RePEc:eee:agiwat:v:243:y:2021:i:c:s0378377420306946
    DOI: 10.1016/j.agwat.2020.106429
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377420306946
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2020.106429?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. He, Jianqiang & Jones, James W. & Graham, Wendy D. & Dukes, Michael D., 2010. "Influence of likelihood function choice for estimating crop model parameters using the generalized likelihood uncertainty estimation method," Agricultural Systems, Elsevier, vol. 103(5), pages 256-264, June.
    2. Rinaldi, Michele & Losavio, Nicola & Flagella, Zina, 2003. "Evaluation and application of the OILCROP-SUN model for sunflower in southern Italy," Agricultural Systems, Elsevier, vol. 78(1), pages 17-30, October.
    3. Solange Filoso & Maíra Ometto Bezerra & Katherine C B Weiss & Margaret A Palmer, 2017. "Impacts of forest restoration on water yield: A systematic review," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-26, August.
    4. Hunt, L. A. & White, J. W. & Hoogenboom, G., 2001. "Agronomic data: advances in documentation and protocols for exchange and use," Agricultural Systems, Elsevier, vol. 70(2-3), pages 477-492.
    5. Liang, Xi & Liakos, Vasilis & Wendroth, Ole & Vellidis, George, 2016. "Scheduling irrigation using an approach based on the van Genuchten model," Agricultural Water Management, Elsevier, vol. 176(C), pages 170-179.
    6. Olayide, Olawale Emmanuel & Tetteh, Isaac Kow & Popoola, Labode, 2016. "Differential impacts of rainfall and irrigation on agricultural production in Nigeria: Any lessons for climate-smart agriculture?," Agricultural Water Management, Elsevier, vol. 178(C), pages 30-36.
    7. Anar, Mohammad J. & Lin, Zhulu & Hoogenboom, Gerrit & Shelia, Vakhtang & Batchelor, William D. & Teboh, Jasper M. & Ostlie, Michael & Schatz, Blaine G. & Khan, Mohamed, 2019. "Modeling growth, development and yield of Sugarbeet using DSSAT," Agricultural Systems, Elsevier, vol. 169(C), pages 58-70.
    8. McCown, R. L., 2002. "Changing systems for supporting farmers' decisions: problems, paradigms, and prospects," Agricultural Systems, Elsevier, vol. 74(1), pages 179-220, October.
    9. Yang, Hong & Zehnder, Alexander J. B., 2002. "Water Scarcity and Food Import: A Case Study for Southern Mediterranean Countries," World Development, Elsevier, vol. 30(8), pages 1413-1430, August.
    Full references (including those not matched with items on IDEAS)

    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. Che-Chen Xu & Wen-Xiang Wu & Quan-Sheng Ge & Yang Zhou & Yu-Mei Lin & Ya-Mei Li, 2017. "Simulating climate change impacts and potential adaptations on rice yields in the Sichuan Basin, China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(4), pages 565-594, April.
    2. Abhishes Lamsal & Stephen M Welch & Jeffrey W White & Kelly R Thorp & Nora M Bello, 2018. "Estimating parametric phenotypes that determine anthesis date in Zea mays: Challenges in combining ecophysiological models with genetics," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-23, April.
    3. Prabakaran, G. & Vaithiyanathan, D. & Ganesan, Madhavi, 2021. "FPGA based effective agriculture productivity prediction system using fuzzy support vector machine," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 185(C), pages 1-16.
    4. Onil Banerjee & Martin Cicowiez & Marcia Macedo & Žiga Malek & Peter Verburg & Sean Goodwin & Renato Vargas & Ludmila Rattis & Paulo M. Brando & Michael T. Coe & Christopher Neill & Octavio Damiani, 2020. "An Amazon Tipping Point: The Economic and Environmental Fallout," CEDLAS, Working Papers 0292, CEDLAS, Universidad Nacional de La Plata.
    5. El-Naggar, A.G. & Hedley, C.B. & Horne, D. & Roudier, P. & Clothier, B.E., 2020. "Soil sensing technology improves application of irrigation water," Agricultural Water Management, Elsevier, vol. 228(C).
    6. Garcia y Garcia, Axel & Guerra, Larry C. & Hoogenboom, Gerrit, 2008. "Impact of generated solar radiation on simulated crop growth and yield," Ecological Modelling, Elsevier, vol. 210(3), pages 312-326.
    7. Gary Bentrup & Michael G. Dosskey, 2022. "Tree Advisor: A Novel Woody Plant Selection Tool to Support Multifunctional Objectives," Land, MDPI, vol. 11(3), pages 1-23, March.
    8. Chen, Shang & He, Liang & Cao, Yinxuan & Wang, Runhong & Wu, Lianhai & Wang, Zhao & Zou, Yufeng & Siddique, Kadambot H.M. & Xiong, Wei & Liu, Manshuang & Feng, Hao & Yu, Qiang & Wang, Xiaoming & He, J, 2021. "Comparisons among four different upscaling strategies for cultivar genetic parameters in rainfed spring wheat phenology simulations with the DSSAT-CERES-Wheat model," Agricultural Water Management, Elsevier, vol. 258(C).
    9. Delgado, Luisa E. & Marín, Víctor H., 2020. "Ecosystem services and ecosystem degradation: Environmentalist’s expectation?," Ecosystem Services, Elsevier, vol. 45(C).
    10. McCown, R. L., 2002. "Locating agricultural decision support systems in the troubled past and socio-technical complexity of `models for management'," Agricultural Systems, Elsevier, vol. 74(1), pages 11-25, October.
    11. María Jesús Beltrán & Esther Velázquez, 2011. "Del metabolismo social al metabolismo hídrico," Documentos de Trabajo de la Asociación de Economía Ecológica en España 01_2011, Asociación de Economía Ecológica en España.
    12. Gaydon, D.S. & Meinke, H. & Rodriguez, D. & McGrath, D.J., 2012. "Comparing water options for irrigation farmers using Modern Portfolio Theory," Agricultural Water Management, Elsevier, vol. 115(C), pages 1-9.
    13. repec:zib:zbseps:v:1:y:2021:i:2:p:72-78 is not listed on IDEAS
    14. Oludare Sunday Durodola & Khaldoon A. Mourad, 2020. "Modelling the Impacts of Climate Change on Soybeans Water Use and Yields in Ogun-Ona River Basin, Nigeria," Agriculture, MDPI, vol. 10(12), pages 1-23, December.
    15. Muhammad Ismail Kumbhar & Zareen Khan Rind & Faisal Khan Chang & Nadia Baloch & Summaya Baloch, 2019. "Effect of Climate Change on the Livelihood of Coastal Areas of Taluka Sonmaini, District Lasbela, Balochistan," International Journal of Environmental Sciences & Natural Resources, Juniper Publishers Inc., vol. 21(1), pages 21-29, August.
    16. Moradeyo Adebanjo OTITOJU & Emeka Solomon FIDELIS & Eunice Ojimaojo OTENE & David Oghenenyerovwo ANIGORO, 2023. "Review of Climate Smart Agricultural Technologies Adoption and Use in Nigeria," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(8), pages 827-838, August.
    17. Berrueta, Cecilia & Giménez, Gustavo & Dogliotti, Santiago, 2021. "Scaling up from crop to farm level: Co-innovation framework to improve vegetable farm systems sustainability," Agricultural Systems, Elsevier, vol. 189(C).
    18. 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).
    19. Rossing, Walter A.H. & Albicette, Maria Marta & Aguerre, Veronica & Leoni, Carolina & Ruggia, Andrea & Dogliotti, Santiago, 2021. "Crafting actionable knowledge on ecological intensification: Lessons from co-innovation approaches in Uruguay and Europe," Agricultural Systems, Elsevier, vol. 190(C).
    20. Imran, Muhammad Ali & Ali, Asghar & Ashfaq, Muhammad & Hassan, Sarfraz & Culas, Richard & Ma, Chunbo, 2019. "Impact of climate smart agriculture (CSA) through sustainable irrigation management on Resource use efficiency: A sustainable production alternative for cotton," Land Use Policy, Elsevier, vol. 88(C).
    21. Nicholas A. Kirk & Nicholas A. Cradock-Henry, 2022. "Land Management Change as Adaptation to Climate and Other Stressors: A Systematic Review of Decision Contexts Using Values-Rules-Knowledge," Land, MDPI, vol. 11(6), pages 1-23, May.

    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:243:y:2021:i:c:s0378377420306946. 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.