IDEAS home Printed from https://ideas.repec.org/a/caa/jnlrae/v64y2018i2id8-2017-rae.html
   My bibliography  Save this article

Evaluation of the coefficient of uniformity and non-uniformity of irrigation for wide-range irrigators in various field conditions

Author

Listed:
  • Ján Jobbágy

    (Department of Machines and Production Biosystems, Faculty of Engineering, Slovak University of Agriculture in Nitra, Nitra, Slovak Republic)

  • Koloman Krištof

Abstract

The aim of this paper is to address an issue of work quality of irrigation machines with eight parameters that were selected and defined as input variables. The objective of the study was to determine possibilities of different evaluation methods for a wide range of irrigation machines and their versatility. All input conditions that could affect the results were recorded and analysed. The results were statistically analysed by a linear model (ANOVA). The results confirm that there are no statistically significant differences in used evaluation methods (p > 0.05) when the effect of locality was not considered. When the effect of locality was considered, statistically significant differences were observed (p < 0.05). When considering the coefficient of non-uniformity, statistically significant differences were not observed, however in case of considering different irrigation machines, statistically significant differences were observed. The obtained results indicate that the evaluation of irrigation uniformity is possible to carry out with other methods; however, the specific field conditions are not interchangeable as a parameter.

Suggested Citation

  • Ján Jobbágy & Koloman Krištof, 2018. "Evaluation of the coefficient of uniformity and non-uniformity of irrigation for wide-range irrigators in various field conditions," Research in Agricultural Engineering, Czech Academy of Agricultural Sciences, vol. 64(2), pages 55-62.
  • Handle: RePEc:caa:jnlrae:v:64:y:2018:i:2:id:8-2017-rae
    DOI: 10.17221/8/2017-RAE
    as

    Download full text from publisher

    File URL: http://rae.agriculturejournals.cz/doi/10.17221/8/2017-RAE.html
    Download Restriction: free of charge

    File URL: http://rae.agriculturejournals.cz/doi/10.17221/8/2017-RAE.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.17221/8/2017-RAE?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. Ayars, J. E. & Phene, C. J. & Hutmacher, R. B. & Davis, K. R. & Schoneman, R. A. & Vail, S. S. & Mead, R. M., 1999. "Subsurface drip irrigation of row crops: a review of 15 years of research at the Water Management Research Laboratory," Agricultural Water Management, Elsevier, vol. 42(1), pages 1-27, September.
    2. Dechmi, F. & Playan, E. & Faci, J. M. & Tejero, M., 2003. "Analysis of an irrigation district in northeastern Spain: I. Characterisation and water use assessment," Agricultural Water Management, Elsevier, vol. 61(2), pages 75-92, June.
    3. Castellanos, M.T. & Cartagena, M.C. & Requejo, M.I. & Arce, A. & Cabello, M.J. & Ribas, F. & Tarquis, A.M., 2016. "Agronomic concepts in water footprint assessment: A case of study in a fertirrigated melon crop under semiarid conditions," Agricultural Water Management, Elsevier, vol. 170(C), pages 81-90.
    4. Berbel, J. & Mateos, L., 2014. "Does investment in irrigation technology necessarily generate rebound effects? A simulation analysis based on an agro-economic model," Agricultural Systems, Elsevier, vol. 128(C), pages 25-34.
    5. Li, Jiusheng, 1998. "Modeling crop yield as affected by uniformity of sprinkler irrigation system," Agricultural Water Management, Elsevier, vol. 38(2), pages 135-146, December.
    6. Dechmi, F. & Playan, E. & Faci, J. M. & Tejero, M. & Bercero, A., 2003. "Analysis of an irrigation district in northeastern Spain: II. Irrigation evaluation, simulation and scheduling," Agricultural Water Management, Elsevier, vol. 61(2), pages 93-109, June.
    7. Eisa Maroufpoor & Arsalan Faryabi & Houshang Ghamarnia & Goran Yamin Moshrefi, 2010. "Evaluation of uniformity coefficients for sprinkler irrigation systems under different field conditions in Kurdistan Province (Northwest of Iran)," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 5(4), pages 139-145.
    8. Nathaniel D. Mueller & James S. Gerber & Matt Johnston & Deepak K. Ray & Navin Ramankutty & Jonathan A. Foley, 2012. "Closing yield gaps through nutrient and water management," Nature, Nature, vol. 490(7419), pages 254-257, October.
    9. Li, Jiusheng & Rao, Minjie, 2003. "Field evaluation of crop yield as affected by nonuniformity of sprinkler-applied water and fertilizers," Agricultural Water Management, Elsevier, vol. 59(1), pages 1-13, March.
    10. J. Jobbágy & P. Findura & F. Janík, 2014. "Effect of irrigation machines on soil compaction," Research in Agricultural Engineering, Czech Academy of Agricultural Sciences, vol. 60(SpecialIs), pages 1-8.
    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. Sanchez, I. & Zapata, N. & Faci, J.M., 2010. "Combined effect of technical, meteorological and agronomical factors on solid-set sprinkler irrigation: I. Irrigation performance and soil water recharge in alfalfa and maize," Agricultural Water Management, Elsevier, vol. 97(10), pages 1571-1581, October.
    2. Franco-Luesma, Samuel & Álvaro-Fuentes, Jorge & Plaza-Bonilla, Daniel & Arrúe, José Luis & Cantero-Martínez, Carlos & Cavero, José, 2019. "Influence of irrigation time and frequency on greenhouse gas emissions in a solid-set sprinkler-irrigated maize under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 221(C), pages 303-311.
    3. Playan, Enrique & Mateos, Luciano, 2006. "Modernization and optimization of irrigation systems to increase water productivity," Agricultural Water Management, Elsevier, vol. 80(1-3), pages 100-116, February.
    4. Lecina, S. & Playan, E. & Isidoro, D. & Dechmi, F. & Causape, J. & Faci, J.M., 2005. "Irrigation evaluation and simulation at the Irrigation District V of Bardenas (Spain)," Agricultural Water Management, Elsevier, vol. 73(3), pages 223-245, May.
    5. Zapata, N. & Playan, E. & Martinez-Cob, A. & Sanchez, I. & Faci, J.M. & Lecina, S., 2007. "From on-farm solid-set sprinkler irrigation design to collective irrigation network design in windy areas," Agricultural Water Management, Elsevier, vol. 87(2), pages 187-199, January.
    6. Ghimire, Chandra Prasad & Bradley, Stuart & Ritchie, Willis & Appels, Willemijn M. & Grundy, Laura & Snow, Val, 2022. "Towards quantifying plot-scale overland flow connectivity using acoustic proximal remote sensing," Agricultural Water Management, Elsevier, vol. 262(C).
    7. Chopart, J.L. & Mezino, M. & Aure, F. & Le Mezo, L. & Mete, M. & Vauclin, M., 2007. "OSIRI: A simple decision-making tool for monitoring irrigation of small farms in heterogeneous environments," Agricultural Water Management, Elsevier, vol. 87(2), pages 128-138, January.
    8. Ge, Maosheng & Wu, Pute & Zhu, Delan & Zhang, Lin & Cai, Yaohui, 2020. "Optimized configuration of a hose reel traveling irrigator," Agricultural Water Management, Elsevier, vol. 240(C).
    9. Dechmi, Farida & Skhiri, Ahmed & Isidoro, Daniel, 2021. "Modeling environmental impact in a semi-arid intensive irrigated watershed," Agricultural Water Management, Elsevier, vol. 256(C).
    10. Malik, Wafa & Dechmi, Farida, 2019. "DSSAT modelling for best irrigation management practices assessment under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 216(C), pages 27-43.
    11. Stambouli, T. & Faci, J.M. & Zapata, N., 2014. "Water and energy management in an automated irrigation district," Agricultural Water Management, Elsevier, vol. 142(C), pages 66-76.
    12. Li, Jiusheng & Li, Bei & Rao, Minjie, 2005. "Spatial and temporal distributions of nitrogen and crop yield as affected by nonuniformity of sprinkler fertigation," Agricultural Water Management, Elsevier, vol. 76(3), pages 160-180, August.
    13. Maroufpoor, Saman & Shiri, Jalal & Maroufpoor, Eisa, 2019. "Modeling the sprinkler water distribution uniformity by data-driven methods based on effective variables," Agricultural Water Management, Elsevier, vol. 215(C), pages 63-73.
    14. Giacomo Falchetta & Nicolò Stevanato & Magda Moner-Girona & Davide Mazzoni & Emanuela Colombo & Manfred Hafner, 2020. "M-LED: Multi-sectoral Latent Electricity Demand Assessment for Energy Access Planning," Working Papers 2020.09, Fondazione Eni Enrico Mattei.
    15. Gao, Yang & Yang, Linlin & Shen, Xiaojun & Li, Xinqiang & Sun, Jingsheng & Duan, Aiwang & Wu, Laosheng, 2014. "Winter wheat with subsurface drip irrigation (SDI): Crop coefficients, water-use estimates, and effects of SDI on grain yield and water use efficiency," Agricultural Water Management, Elsevier, vol. 146(C), pages 1-10.
    16. Forough Jafary & Chris Bradley, 2018. "Groundwater Irrigation Management and the Existing Challenges from the Farmers’ Perspective in Central Iran," Land, MDPI, vol. 7(1), pages 1-21, January.
    17. Jackson, T.M. & Hanjra, Munir A. & Khan, S. & Hafeez, M.M., 2011. "Building a climate resilient farm: A risk based approach for understanding water, energy and emissions in irrigated agriculture," Agricultural Systems, Elsevier, vol. 104(9), pages 729-745.
    18. Mr. Emmanuel Momolu Pope & Prof. Wilson Opile & Dr. Lucas Ngode & Dr. Chepkoech Emmy, 2023. "Assessment of Upland Rice Production Constraints and Farmers’ Preferred Varieties in Liberia," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(2), pages 1307-1322, February.
    19. Qian Chen & Jaume Freire González & Donglan Zha, 2023. "The Gap between Expectations and Reality: Assessing the Water Rebound Effect in Chinese Agriculture," Working Papers 1415, Barcelona School of Economics.
    20. F. Jorge Bornemann & David P. Rowell & Barbara Evans & Dan J. Lapworth & Kamazima Lwiza & David M.J. Macdonald & John H. Marsham & Kindie Tesfaye & Matthew J. Ascott & Celia Way, 2019. "Future changes and uncertainty in decision-relevant measures of East African climate," Climatic Change, Springer, vol. 156(3), pages 365-384, October.

    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:caa:jnlrae:v:64:y:2018:i:2:id:8-2017-rae. 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: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    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.