Prediction of soil wetting pattern for three soil types under drip irrigation

  • M. A. Adedeji Department of Agricultural and Bio-Environmental Engineering Technology, Federal Polytechnic Ede, Osun State, Nigeria
  • A. O, Chikezie Department of Agricultural and Bio-Environmental Engineering Technology, Federal Polytechnic, Nasarawa, Nasarawa State, Nigeria
  • M. O. Isikwue Department of Agricultural and Environmental Engineering, Federal University of Agriculture, Makurdi, Benue State, Nigeria
Keywords: Drip irrigation, wetting pattern, clay loam, sandy loam, sandy clay loam and efficiency

Abstract

This study was carried out by identifying and selecting three soil types around the University of Agriculture, Makurdi, Nigeria to determine their physicochemical properties. Drip Irrigation is considered as one of the most efficient irrigation systems, provided the system is designed to meet the soil and plant condition. Information on wetting patterns under point source drip emitters is a prerequisite for the design and operation of the drip systems.  This is to ensure precise placement of water and fertilizer in the active root zone. The objective of this study was to develop models that can help to determine the wetting radius (r), wetting depth (z) from surface point drip irrigation of three soil types (clay loam, sandy loam and sandy clay loam). Water was applied to each soil type using drip irrigation set up at a constant flow rate of 1.3 l/hr. The maximum duration of water application was 10 hrs. At intervals of 30 minutes, there was excavation to monitor the wetted radius and depth. The field data was subjected to statistical analysis using SPSS version 22.0 to formulate the models that relates the duration, flow rate, volume and hydraulic properties to wetted radius and depth. Results show that lateral water movement was highest in the clay loam while vertical movement was highest in sandy loam. The highest wetted depth in clay loam, sandy loam and sandy clay loam were 17, 26, and 25 cm while the wetted radius were 26, 24, and 22 cm, respectively. Models for the three soil types were developed, the R2 values for the three soils were between 0.7and0.9 which are close to 1. The ANOVA shows that the models were statistically significant as the P values are less than 0.05.  The results obtained showed that the wetted depth and wetted radius of these soil types are influenced by the flow rate, duration and volume of water application within the range under consideration and can fit into irrigation of vegetable crops.

References

Ali, N, and Nasiri S. (2012). Finding the Optimized Distance of Emitters in the Drip Irrigation in Loam-Sandy Soil in the Ghaeme Abad Plain of Kerman, Iran. Middle-East Journal of Scientific Research, 11 (4): 426-434.
Census (2006). https://www.nigerianmuse.com/20070820063612zg/sections/important-documents/nigeria-2006-population-census-arranged-by-state-wikipedia/
Cote, C.M., Bristow, K.L., Charles worth, P.B., Cook, F.J., Thorburn, P.J. (2003) Analysis of soil wetting and solute transport in subsurface trickle irrigation.. Irrigation Science. 22: 143–156
Egboramy (1989). University of Agriculture master plan Architects. Town planners and Engineers consultants (unpublished).
FAO (2002a). Irrigation manual. Planning, development monitoring and evaluation of irrigated agriculture with farmer participation, Module 9: Localized irrigation systems planning, design, operation and maintenance (English) Savva, A.P., FAO, Harare (Zimbabwe). Sub regional Office for Southern and East Africa, 2002, 82 p.
FAO (2002b). Irrigation manual planning, development monitoring and evaluation of irrigated agriculture with farmer participation, module 4: crop water requirements and irrigation scheduling (English), savva, A.P., frenken, K., FAO, Harare (Zimbabwe), sub regional office for southern and east Africa, 2002, 138p.
Franzluebbers, A.J., (2002). Water infiltration and soil structure related to organic matter and its stratification with depth. Soil & Tillage Research, 66: 197–205.
Freddie, R. Lamm, James E. Ayars, Francis S. Nakayma, (2007). Micro irrigation for crop production: design, operation and management (USA). South African Irrigation Institute Technical Bulletin, 10:112- 124.
Gardenas, A, Hopmans, J.W., Hanson, B.R., Šimůnek, J. (2005) Two dimensional modelling of nitrate leaching for various fertigation scenarios under micro-irrigation. Agricultural Water Management, 74:219– 242.
Hu, W., Mingan S Quanjiu, W., and Robert, H. (2009). Temporal changes of soil hydraulic properties under different land uses. Geoderma, 149: 355–366.
Lado, M. and Ben-Hur, M., (2009). Treated domestic sewage irrigation effects on soil hydraulic properties in arid and semiarid zones: A review. Soil & Tillage Research, 106: 152–163.
Lamm, F.R., Ayars, J.E., Nakayama, F.S. (2007) Micro irrigation for Crop Production - Design, Operation and Management. Elsevier Publications. 608 p.
Li, J., Zhaney, J. and Rao, M. (2004) Wetting Patterns and Nitrogen Distributions as Affected by Fertigation Strategies from a Surface Point Source, Agricultural Water Management, 67:89-104
Mallikarjuna, P., C. H. Suresh Babu, and J.A. Mohan Reddy. (2009). Simulation of monthly stream flow using linear regression and ANN models. Indian Society of Hydraulic Engineering ISH Journal Hydraulic Engineering, 15(2): 131-144.
Mostafa, H. (2014).Effective moisture conservation method for heavy soil under drip irrigation. Agricultural Engineering International: CIGR Journal Open access at http://www.cigrjournal.org 16(2): 1-9.
Mubarak, I., Mailhol, J.C., Jaramillo, R.A., Ruelle, P., Boivin, P., and Khaledian, M. (2009). Temporal variability in soil hydraulic properties under drip irrigation. Geoderma, 150: 158–165.
Nash, J. E., and J. V. Sutcliffe. (1970). River flow forecasting through conceptual models Part 1-A discussion of principles. Journal of Hydrology, 10 (3): 282-290.
Provenzano, G. (2007) Using HYDRUS-2D Simulation Model to Evaluate Wetted Soil Volume in Subsurface Drip Irrigation Systems. Journal of Irrigation and Drainage Engineering, 133 (4): 342–349
Roth, R. L. (1974) Soil moisture distribution and wetting pattern from a point-source. Proceeding of the Second International Drip Irrigation Congress, California, USA, pp 246-251.
Subbaiah, R. (2013). A review of models for predicting soil water dynamics during trickle irrigation. Irrigation Science, 31(3): 225-258.
Wang, F., Kang, Y., Liu, S. (2006) Effects of drip irrigation frequency on soil wetting pattern and potato growth in North China Plain. Agricultural Water Management, 79 (3): 248-264.
Published
2018-10-31
How to Cite
Adedeji, M. A., Chikezie, A. O., & Isikwue, M. O. (2018, October 31). Prediction of soil wetting pattern for three soil types under drip irrigation. EPH - International Journal of Agriculture and Environmental Research (ISSN: 2208-2158), 4(10), 01-18. Retrieved from https://ephjournal.com/index.php/aer/article/view/1003

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