Evaluating irrigation applied and nitrogen leached using different smart irrigation technologies on bahiagrass (Paspalumnotatum)

Irrigation technologies [i.e., automatic timer, automatic timer with rain sensor, automatic timer with soil water sensor (SWS), and evapotranspiration (ET) controller] were compared in a bahiagrass plot study by measuring irrigation applied, water volumes drained, and NO3–N and NH4–N leached. All irrigation technologies were scheduled to irrigate on Sunday and Thursday. Three different irrigation depths were evaluated with the automatic timer: 15, 19, and 32 mm. SWS treatment allowed scheduled irrigation if soil water content was estimated to be below 70 % of water holding capacity, while the ET treatment allowed scheduled irrigation if soil water content was estimated to be below 50 % of plant available water. The rain sensor, SWS, and ET controller treatments applied significantly less water (p < 0.05) than the automatic timer treatment (which irrigates on specific days and times without regard to system conditions), reducing water by 17–49, 64–75, and 66–70 %, respectively. NO3–N and NH4–N were only significantly different after the second fertilizer application, which coincided with the 32 mm per event irrigation rate for the automatic timer treatment. Under these conditions, the automatic timer treatment had significantly greater NO3–N and NH4–N leachate than other treatments due to greater occurrence of soil water content exceeding water holding capacity, which resulted in drainage. Findings suggest that water can be saved using rain sensors, SWSs, or ET controllers and that leachate NO3–N and NH4–N can be reduced using rain sensors, SWSs, or ET controllers.

[1]  M. Dukes,et al.  Evaluation and Demonstration of Evapotranspiration-Based Irrigation Controllers , 2007 .

[2]  S. Running,et al.  Mapping and Modeling the Biogeochemical Cycling of Turf Grasses in the United States , 2005, Environmental management.

[3]  Michael D. Dukes,et al.  Water conservation potential of smart irrigation controllers on St. Augustinegrass , 2009 .

[4]  Michael D. Dukes,et al.  Irrigation scheduling performance by evapotranspiration-based controllers , 2010 .

[5]  David D. Bosch,et al.  Field Methods for Monitoring Soil Water Status , 2005 .

[6]  P. Waller Turf and Landscape Irrigation , 2015 .

[7]  H. Vereecken,et al.  Soil-Water-Solute-Process Characterization , 2006 .

[8]  H.W.G. Booltink,et al.  PHYSICAL AND MORPHOLOGICAL CHARACTERIZATION OF BYPASS FLOW IN A WELL-STRUCTURED CLAY SOIL , 1991 .

[9]  G. H. Snyder,et al.  Moisture sensor-controlled irrigation for reducing N leaching in bermudagrass turf , 1984 .

[10]  Michael D. Dukes,et al.  Evaluation of Sensor Based Residential Irrigation Water Application , 2007 .

[11]  W. Rawls,et al.  Soil Water Characteristic Estimates by Texture and Organic Matter for Hydrologic Solutions , 2006 .

[12]  Michael D. Dukes,et al.  Analysis of Residential Irrigation Distribution Uniformity , 2005 .

[13]  Nelson,et al.  Soil Fertility and Fertilizers: An Introduction to Nutrient Management , 1998 .

[14]  Ventura River Reaches Environmental Protection Agency Environmental Protection Agency Environmental Protection Agency Environmental Protection Agency Environmental Protection Agency , 2012 .

[15]  Guillermo Palau-Salvador,et al.  Generalization of ETo ANN Models through Data Supplanting , 2010 .

[16]  D. R. Nielsen,et al.  Irrigation of Agricultural Crops , 1990 .

[17]  William B. DeOreo,et al.  SOIL MOISTURE SENSORS FOR URBAN LANDSCAPE IRRIGATION: EFFECTIVENESS AND RELIABILITY 1 , 2001 .

[18]  Michael D. Dukes,et al.  Water Conservation Potential of Landscape Irrigation Smart Controllers , 2012 .

[19]  G. H. Snyder,et al.  Moisture Sensor-Controlled Irrigation for Maintaining Bermudagrass Turf1 , 1984 .

[20]  L. Barton,et al.  Irrigation and fertilizer strategies for minimizing nitrogen leaching from turfgrass , 2006 .

[21]  Michael D. Dukes,et al.  Evaluation of Soil Moisture-Based on-demand Irrigation Controllers , 2008 .

[22]  Richard G. Allen,et al.  Comparison of Reference Evapotranspiration Calculations as Part of the ASCE Standardization Effort , 2003 .

[23]  L. Barton,et al.  Turfgrass (Cynodon dactylon L.) sod production on sandy soils: I. Effects of irrigation and fertiliser regimes on growth and quality , 2006, Plant and Soil.

[24]  Steven R. Evett,et al.  Soil Water and Monitoring Technology , 2015 .

[25]  Michael D. Dukes,et al.  Sensor-Based Automation of Irrigation on Bermudagrass during Dry Weather Conditions , 2008 .

[26]  P. Mayer Residential End Uses of Water , 1999 .

[27]  John L. Merriam,et al.  Farm irrigation system evaluation: a guide for management. , 1978 .

[28]  J. Nimmo Preferential flow occurs in unsaturated conditions , 2012 .

[29]  Timothy D. Colmer,et al.  Evaluation of a soil moisture sensor to reduce water and nutrient leaching in turfgrass (Cynodon dactylon cv. Wintergreen) , 2007 .

[30]  Michael D. Dukes,et al.  Validation of Landscape Irrigation Reduction with Soil Moisture Sensor Irrigation Controllers , 2012 .

[31]  L. S. Pereira,et al.  Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .