Soil & Water Res., 2015, 10(3):164-171 | DOI: 10.17221/189/2014-SWR
Evaluation of different soil water potential by field capacity threshold in combination with a triggered irrigation moduleOriginal Paper
- 1 Faculty of Agriculture, University of J.J. Strossmayer in Osijek, Osijek, Republic of Croatia
- 2 Department of Soil Amelioration, Faculty of Agriculture, University of Zagreb, Zagreb, Republic of Croatia
- 3 Rušer Bo¹kovię Institute, Zagreb, Republic of Croatia
- 4 Agricultural Institute in Osijek, Osijek, Republic of Croatia$2
Irrigation efficiency improvement requires optimization of its parameters like irrigation scheduling, threshold and amount of water usage. If these parameters are not satisfactorily optimized, negative consequences for the plant-soil system can occur with decreased yield and hence economic viability of the agricultural production. Numerical modelling represents an efficient, i.e. simple and fast method for optimizing and testing different irrigation scenarios. In this study HYDRUS-1D model assuming single- and dual-porosity systems was used to evaluate a triggered irrigation module for irrigation scheduling in maize/soybean cropping trials. Irrigation treatment consisted of two irrigation regimes (A2 = 60-100% field capacity (FC) and A3 = 80-100% FC) and control plot (A1) without irrigation. The model showed a very good fit to the measured data with satisfactory model efficiency values of 0.77, 0.69, and 0.93 (single-porosity model) and 0.84, 0.67, and 0.92 (dual-porosity model) for A1, A2, and A3 plots, respectively. The single-porosity model gave a slightly better fit in the irrigated plots while the dual-porosity model gave better performance in the control plot. This inconsistency between the two approaches is due to the manual irrigation triggering and uncertainty in field data timing collection. Using the triggered irrigation module provided more irrigation events during maize and soybean crop rotation and consequently increased cumulative amounts of irrigated water. However, that increase resulted in more water available in the root zone during high evapotranspiration period. The HYDRUS code can be used to optimize irrigation threshold values further by assuming different scenarios (e.g. different irrigation threshold or scheduling) or a different crop.
Keywords: field water capacity; dual-porosity model; HYDRUS-1D; numerical modelling; single-porosity model; triggered irrigation
Published: September 30, 2015 Show citation
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References
- Barnabįs B., Jäger K., Fehér A. (2008): The effect of drought and heat stress on reproductive processes in cereals. Plant, Cell & Environment, 1: 11-38.
Go to original source...
- Ben Gal A., Lazarovitch N., Shani U. (2004): Subsurface Drip Irrigation in Gravel-filled Cavities. Vadose Zone Journal, 3: 1407-1413.
Go to original source...
- Dabach S., Lazarovitch N., ©imłnek J., Shani U. (2013): Numerical investigation of irrigation scheduling based on soil water status. Irrigation Science, 31: 27-36.
Go to original source...
- Dudley L.M., Hanks R.J. (1991): Model SOWACH: Soilplant-atmosphere-salinity Management Model Users' Manual. Utah Agricultural Experiment Station Research Report No. 140. Logan, Utah State University.
- Dudley L.M., Ben-Gal A., Lazarovitch N. (2008): Drainage water use: biological, physical and technological considerations for system management. Journal of Environmental Quality, 37: 25-35.
Go to original source...
Go to PubMed...
- Feddes R.A., Kowalik P.J., Zaradny H. (1978): Simulation of Field Water Use and Crop Yield. New York, John Wiley & Sons.
- Gee G.W., Or D. (2002): Particle size analysis. In: Methods of Soil Analysis: Part 4, Physical Methods. Madison, SSSA: 255-293.
Go to original source...
- George B.A., Shende S.A., Raghuwanshi N.S. (2000): Developing and testing of irrigation scheduling model. Agricultural Water Management, 46: 121-136.
Go to original source...
- Heimovaara T.J., Bouten W. (1990): A computer-controlled 36-chanell time domain reflectrometry system for monitoring soil water content. Water Resource Research, 26: 2311-2316.
Go to original source...
- Jones H.G. (2004): Irrigation scheduling: advantages and pitfalls of plant-based methods. Journal of Experimental Botany, Water-Saving Agriculture Special Issue, 55: 2427-2436.
Go to original source...
Go to PubMed...
- Klute A., Dirksen C. (1986): Hydraulic conductivity and diffusivity: laboratory methods. In: Methods of Soil Analysis: Part 1, Physical and Mineralogical Methods. Agronomy Monograph No. 9. Madison, ASA-SSSA.
Go to original source...
- Kode¹ovį R., Brodskż L. (2006): Comparison of CGMSWOFOST and HYDRUS-1D simulation results for one cell of CGMS-GRID50. Soil and Water Research, 2: 39-48.
Go to original source...
- Lazarovitch N., ©imłnek J., Shani U. (2005): System dependent boundary conditions from water flow from subsurface source. Soil Science Society of American Journal, 69: 46-50.
Go to original source...
- Monteith J.L. (1981): Evaporation and surface temperature. Quarterly Journal of the Royal Meteorological Society, 107: 1-27.
Go to original source...
- Mualem Y. (1976): A new model for prediction of the hydraulic conductivity of unsaturated porous media. Water Resources Research, 12: 513-522.
Go to original source...
- Mubarak I., Mailhol M.C., Angulo-Jaramillo R., Bouarfa S., Ruelle P. (2009): Effect of temporal variability in soil hydraulic properties on simulated water transfer under high-frequency drip irrigation. Agricultural Water Management, 96: 1547-1559.
Go to original source...
- Nash J.E., Sutcliffe J.V.(1970): River flow forecasting through conceptualmodels. Part I. A discussion of principles. Journal of Hydrology, 10: 282-290.
Go to original source...
- Pang X.P., Letey J. (1998): Development and evaluation of ENVIROGRO, an integrated water, salinity, and nitrogen model. Soil Science Society of American Journal, 62: 1418-1427.
Go to original source...
- Shani U., Tsur Y., Zemel A. (2004): Optimal dynamic irrigation schemes. Optimal Control and Application Methods, 25: 91-106.
Go to original source...
- ©imłnek J., Jarvis N.J., Van Genuchten M.T., Gärdenäs A. (2003): Review and comparison of models for describing non-equilibrium and preferential flow and transport in the vadose zone. Journal of Hydrology, 272: 14-35.
Go to original source...
- ©imłnek J., Van Genuchten M.T., ©ejna M. (2008): Development and applications of the HYDRUS and STANMOD software packages and related codes. Vadose Zone Journal, Special Issue Vadose Zone Modeling, 7: 587-600.
Go to original source...
- Van Genuchten M.T. (1980): A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Science Society of America Journal, 44: 892-898.
Go to original source...
- Van Genuchten M.T., Leij F.J., Yates S.R. (1991): Version 1.0. The RETC Code for Quantifying the Hydraulic Functions of Unsaturated Soils. Riverside, U.S. Salinity Laboratory USDA, ARS.
- Zhou Q.Y., Shimada J., Sato A. (2001): Three-dimensional spatial and temporal monitoring of soil water content using electrical resistivity tomography. Water Resources Research, 37: 273-285.
Go to original source...
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