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Web URL(s): | https://archive.lib.msu.edu/tic/ressum/2021/2021.pdf#page=247 Last checked: 04/13/2022 Requires: PDF Reader Notes: Item is within a single large file |
Publication Type: | Report |
Author(s): | Wherley, Benjamin; Hejl, Reagan; McInnes, Kevin; Grubbs, B. |
Author Affiliation: | Texas A&M University, College Station, TX |
Title: | Data-driven irrigation scheduling techniques for managing sand-capped fairways |
Section: | Integrated turfgrass management Other records with the "Integrated turfgrass management" Section Ecophysiology: Water Other records with the "Ecophysiology: Water" Section |
Source: | Mike Davis Program for Advancing Golf Course Management: 2021 Progress Reports. 2021, p. 240-247. |
Publishing Information: | [New York, New York]: The United States Golf Association Green Section |
# of Pages: | 8 |
Keywords: | TIC Keywords: Chemical soil analysis; Data processing; Electrical conductivity; Equipment evaluation; Evapotranspiration rate; Golf fairway maintenance; Growth and development; Irrigation methods; Irrigation scheduling; Normalized Difference Vegetation Index; Physical soil analysis; Quality evaluation; Sand capping; Volumetric water content |
Language: | English |
References: | 0 |
See Also: | Other Reports from this USGA research project: 2018-05-665 |
Note: | Pictures, color Graphs |
USGA Summary Points: | All irrigation scheduling approaches produced similar levels of acceptable turfgrass quality and percent green cover with no apparent differences in root development by the end of the project. Over the two-year study, NOAA Forecasted Reference ET (FRET) was shown to be a reliable predictor of (R2=0.97) onsite weather station Penman-Monteith reference evapotranspiration (ET°). Seasonal water use was 23% lower for the on-site ET° based approach compared to SMS-based scheduling, althrough thi sdid not result in elevated electrical conductivity within the sand cap. Under wilt-based irrigation, the volumetric water content at which wilt occurred was highest mid-summer (4.4%), but declined during early and late season months (2.0%), suggesting different thresholds may be used throughout the season when using SMS-based irrigation scheduling. |
ASA/CSSA/SSSA Citation (Crop Science-like – may be incomplete): | Wherley, B., R. Hejl, K. McInnes, and B. Grubbs. 2021. Data-driven irrigation scheduling techniques for managing sand-capped fairways. USGA Turfgrass Environ. Res. Summ. p. 240-247. |
Fastlink to access this record outside TGIF: | http://tic.msu.edu/tgif/flink/RECNO/317412 |
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Web URL(s) : | https://archive.lib.msu.edu/tic/ressum/2021/2021.pdf#page=247 Last checked: 04/13/2022 Requires: PDF Reader Notes: Item is within a single large file |
MSU catalog number: | b3609415 |
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