Water conservation potential of smart irrigation controllers on St. Augustinegrass

被引:96
|
作者
McCready, M. S. [1 ]
Dukes, M. D. [1 ]
Miller, G. L. [2 ]
机构
[1] Univ Florida, Dept Agr & Biol Engn, Gainesville, FL 32611 USA
[2] N Carolina State Univ, Dept Crop Sci, Raleigh, NC 27695 USA
关键词
Soil moisture sensor; Rain sensor; Evapotranspiration controller; Turfgrass;
D O I
10.1016/j.agwat.2009.06.007
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
A variety of technologies for reducing residential irrigation water use are available to homeowners. These "Smart Irrigation" technologies include evapotranspiration (ET)-based controllers and soil Moisture sensor (SMS) controllers. The purpose of this research was to evaluate the effectiveness of these technologies, along with rain sensors, based on irrigation applied and turfgrass quality measurements on St. Augustinegrass (Stenotophrum secundatum (Walter) Kuntze). Testing was performed on two types of SMS controllers (LawnLogic LL1004 and Acclima Digital TDT RS500) at three soil moisture threshold settings. Mini-Clik rain sensors (RS) comprised six treatments at two rainfall thresholds (3 mm and 6 mm) and three different irrigation frequencies (1, 2, and 7 d/wk). Two ET controllers were also tested, the Toro Intelli-Sense controller and the Rain Bird ET Manager. A time-based treatment with 2 days of irrigation per week without any type of sensor (WOS) to bypass irrigation was established as a comparison. All irrigation controller programming represented settings that might be used in residential/commercial landscapes. Even though three of the four testing periods were relatively dry, all of the technologies tested managed to reduce water application compared to the WOS treatment, with most treatments also producing acceptable turf quality. Reductions in irrigation applied were as follows: 7-30% for RS-based treatments, 0-74% for SMS-based treatments, and 25-62% for ET-based treatments. The SMS treatments at low threshold settings resulted in high water savings, but reduced turf quality to unacceptable levels. The medium threshold setting (approximately field capacity) SMS-based treatment produced good turfgrass quality while reducing irrigation water use compared to WOS by 11-53%. ET controllers with comparable settings and good turf quality had -20% to 59% savings. Reducing the irrigation schedule (treatment DWRS) by 40% and using a rain sensor produced water savings between 36% and 53% similar to smart controllers. Proper installation and programming of each of the technologies was essential element to balancing water conservation and acceptable turf quality. Water savings with the SMS controllers could have been increased with a reduced time-based irrigation schedule. Efficiency settings of 100% (DWRS) and 95% (TORO) did not reduce turf quality below acceptable limits and resulted in substantial irrigation savings, indicating that efficiency values need not be low in well designed and maintained irrigation systems. For most conditions in Florida, the DWRS schedule (60% of schedule used for SMS treatments) can be used with either rain sensors or soil moisture sensors in bypass control mode as long as the irrigation system has good coverage and is in good repair. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:1623 / 1632
页数:10
相关论文
共 50 条
  • [21] EFFECT OF IRRIGATION INTERVAL ON ST AUGUSTINEGRASS ROOTING
    PEACOCK, CH
    DUDECK, AE
    AGRONOMY JOURNAL, 1985, 77 (05) : 813 - 815
  • [22] Response of 'Captiva' St. Augustinegrass to Shade and Potassium
    Cai, Xiaoya
    Trenholm, Laurie E.
    Kruse, Jason
    Sartain, Jerry B.
    HORTSCIENCE, 2011, 46 (10) : 1400 - 1403
  • [23] Effect of nitrogen rates, nitrogen sources, and irrigation on N leaching in St. Augustinegrass lawns.
    Cisar, JL
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2002, 224 : U102 - U103
  • [24] Registration of 'FSA1602' St. Augustinegrass
    Kenworthy, Kevin
    Quesenberry, Kenneth
    Aldrich, Kendall
    Buhlman, Jamie
    Rios, Esteban
    Unruh, Bryan
    Harmon, Philip
    Dale, Adam
    Milla-Lewis, Susana
    Schwartz, Brian
    Raymer, Paul
    Chandra, Ambika
    Wu, Yanqi
    Zhang, Jing
    Wherley, Ben
    Martin, Dennis
    Moss, Justin
    Fontainier, Charles
    Miller, Grady
    JOURNAL OF PLANT REGISTRATIONS, 2024, 18 (01) : 23 - 32
  • [25] St. Augustinegrass response to plant growth retardants
    McCarty, LB
    Weinbrecht, JS
    Toler, JE
    Miller, GL
    CROP SCIENCE, 2004, 44 (04) : 1323 - 1329
  • [26] Selective control of common bermudagrass in St. Augustinegrass
    McCarty, LB
    CROP SCIENCE, 1996, 36 (03) : 694 - 698
  • [27] Preemergence herbicide effects on St. Augustinegrass establishment
    Wilber, Amy L.
    McCurdy, James D.
    Czarnecki, Joby
    Stewart, Barry
    Dong, Hongxu
    AGRONOMY JOURNAL, 2023, 115 (03) : 1344 - 1355
  • [28] Registration of 'NUF-76' St. Augustinegrass
    Lu, H.
    Nagata, R.
    Kenworthy, K.
    Cherry, R.
    Quesenberry, K.
    Busey, P.
    JOURNAL OF PLANT REGISTRATIONS, 2015, 9 (03) : 299 - 303
  • [29] Anatomical Response of St. Augustinegrass to Aminocyclopyrachlor Treatment
    Flessner, Michael L.
    Dute, Roland R.
    McElroy, J. Scott
    WEED SCIENCE, 2011, 59 (02) : 263 - 269
  • [30] Evaluating the tradeoffs between water conservation, aesthetic value, evaporative cooling and CO2 emissions in St. augustinegrass and buffalograss
    Iradukunda, Jean Claude
    Verdi, Amir
    AGRICULTURAL WATER MANAGEMENT, 2024, 305