Full TGIF Record # 310298
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Web URL(s):https://scisoc.confex.com/scisoc/2019am/meetingapp.cgi/Paper/120112
    Last checked: 02/03/2020
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Publication Type:
Content Type:Abstract or Summary only
Author(s):Hejl, Reagan; Wherley, Benjamin; McInnes, Kevin J.; Grubbs, Rebecca; Fontanier, Charles Henry; Carson, Troy D.
Author Affiliation:Hejl: Soil & Crop Sciences, Texas Agrilife Research, College Station, TX; Wherley, McInnes, and Grubbs: Soil & Crop Sciences, Texas A&M University, College Station, TX; Fontanier: Oklahoma State University, Stillwater, OK; Carson: Toro Company, Bloomington, MN
Title:Irrigation scheduling techniques for sand-capped turf systems
Section:C05 turfgrass science
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Golf turf management poster (includes student competition)
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Meeting Info.:San Antonio, Texas: November 10-13, 2019
Source:ASA, CSSA and SSSA International Annual Meetings. 2019, p. 120112.
Publishing Information:[Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America]
# of Pages:1
Keywords:TIC Keywords: Cynodon dactylon x Cynodon transvaalensis; Evapotranspiration-based irrigation; Golf course irrigation; Irrigation scheduling; Penman equations; Sand capping; Soil moisture sensors; Techniques; Weather data
Cultivar Names:Latitude 36
Abstract/Contents:"With current strains on water resources and with the increasing trend of capping degraded golf fairways with sand, research toward efficient methods for irrigation management on sand-capped soil is needed. While reference evapotranspiration (ETo) based scheduling, based on weather data, provides an effective means of predicting irrigation requirements, reliable access to locally representative data is often a barrier for implementation. The recent availability of open-access NOAA Forecasted Reference ET (FRET) data provides forecasted ET data regardless of proximity to a weather station and offers superintendents another tool for managing irrigation. Unfortunately, research is lacking on how FRET estimates compare to actual Penman-Monteith ETo at given locations. Also, given increased uniformity of root-zone depth and texture within sand-capped systems, in-ground soil moisture sensors (SMS) could offer another promising irrigation scheduling tool on sand-capped fairways. This field study is being conducted on newly constructed 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 is evaluating turf performance and overall water use during the growing season for four irrigation scheduling techniques including: 1) Wireless SMS, 2) Penman-Monteith Reference ETo, 3) FRET, and 4) Visual wilt-based approach. In year 1 of the study, turfgrass quality remained above minimum acceptable thresholds regardless of irrigation scheduling method. Also, water use within the reference ET and FRET based treatments were statistically similar, suggesting potential for FRET as a reliable indicator of actual bermudagrass fairway water requirements."
Note:This item is an abstract only!
"Poster #1570"
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Hejl, R., B. Wherley, K. J. McInnes, R. Grubbs, C. H. Fontanier, and T. D. Carson. 2019. Irrigation scheduling techniques for sand-capped turf systems. Agron. Abr. p. 120112.
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