Full TGIF Record # 315268
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Web URL(s):https://scisoc.confex.com/scisoc/2020am/meetingapp.cgi/Paper/125047
    Last checked: 03/26/2021
Publication Type:
Content Type:Abstract or Summary only
Author(s):Hejl, Reagan; Wherley, Benjamin; McInnes, Kevin J.; Straw, Chase M.; Grubbs, Becky; Carson, Troy D.; Fontanier, Charles Henry
Author Affiliation:Hejl: Research Associate, Soil & Crop Sciences, Texas Agrilife Research, College Station, TX; Wherley: Assistant professor, Crop Sciences, Texas A&M University, College Station, TX; McInnes: Soil & Crop Sciences, Texas A&M University, College Station, TX; Straw: Assistant Professor, Soil and Crop Science, Texas A&M University, College Station, TX; Grubbs: Soil and Crop Sciences, Texas A&M University, Dallas, TX; Carson: Toro Company, Bloomington, MN; Fontanier: Assistant Professor, Oklahoma State University, Oklahoma State University, Stillwater, OK
Title:Data-driven moisture management for sand-capped fairway systems
Section:Golf turf management poster (includes student competition)
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C05 turfgrass science
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Meeting Info.:November 9-13, 2020
Source:ASA, CSSA and SSSA International Annual Meetings. November 2020, p. 125047.
Publishing Information:[Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America]
# of Pages:1
Related Web URL:https://scisoc.confex.com/scisoc/2020am/mediafile/Handout/Paper125047/ReaganHejl_IrrigationScheduling.pdf
    Last checked: 03/26/2021
    Requires: PDF Reader
    Notes: Direct download
Abstract/Contents:"With the increasing trend of capping degraded golf fairways with sand and current strains of water resources, research toward efficient methods for irrigation management on sand-capped soil is needed. While Reference ET based scheduling, based on weather data, has proven to be a reliable tool for predicting irrigation requirements, reliable access to locally representative data often is a barrier for implementation. The availability of open-access NOAA Forecasted Reference ET (FRET) data provides ET data regardless of proximity to a weather station and offers superintendents another tool for managing irrigation. Unfortunately, research is lacking on how FRET values compare to the standard Penman-Monteith ETo at given locations. Also, due to increased uniformity of in root-zone depth and texture within sand-capped systems, in-ground soil moisture sensors (SMS) could be utilized as a soil moisture management tool on sand-capped fairways. This 2-year field study was conducted on sand-capped Latitude 36 Bermudagrass (Cynodon dactylon L. Pers. Xc. Transvaalensis Burtt-Davy) plots at the Texas A&M Turfgrass Field Laboratory in College Station, Texas. The study evaluated turf performance and water savings potential of four irrigation scheduling techniques including: 1) Wireless SMS, 2) Penman-Monteith Reference ETo, 3) FRET, and 4) Visual wilt-based approach. All scheduling strategies maintained above minimum acceptable turf quality throughout both seasons. Results to date point to NOAA FRET being a reliable estimator of actual ETo. Also, the soil moisture percentage at which wilt is observed appeared to change on a seasonal basis in the first season. This was not observed in second season; however, the mean VWC at which wilt occurred was significantly lower in the upper portion of the subsoil in 2020 (year 1 = 35%, year 2 = 33 %). Differences were observed for water use between treatments in the first season, no significant differences were observed in the second season."
Note:This item is an abstract only!
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Hejl, R., B. Wherley, K. J. McInnes, C. M. Straw, B. Grubbs, T. D. Carson, et al. 2020. Data-driven moisture management for sand-capped fairway systems. Agron. Abr. p. 125047.
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    Last checked: 03/26/2021
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