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Web URL(s): | http://archive.lib.msu.edu/tic/ressum/2018/2018.pdf#page=251 Last checked: 05/02/2019 Requires: PDF Reader Notes: Item is within a single large file |
Publication Type:
| Report |
Author(s): | Wherley, Benjamin;
Mclnnes, Kevin;
Hejl, Reagan |
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
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Source: | Turfgrass and Environmental Research Program: 2018 Research Summaries. 2018, p. 243-247. |
Publishing Information: | [New York, New York]: The United States Golf Association Green Section |
# of Pages: | 5 |
Keywords: | TIC Keywords: Best management practices; Golf fairways; Irrigation practices; Irrigation scheduling; Sand capping
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Language: | English |
References: | 0 |
See Also: | Other Reports from this USGA research project: 2018-05-655 |
Note: | Pictures, color Graphs |
USGA Summary Points: | A 10,000 sq. ft. replicated sand-capping irrigation research facility has been constructed at Texas A&M University, College Station, TX. In August 2018, Latitude 36 bermudagrass was sprig-established onto a 5" sand-cap across the facility. Full coverage was achieved by mid-October. Various approaches to irrigation will be implemented in May 2019 and evaluated over two seasons, including wireless soil moisture sensor-based, reference ETo-based, NOAA FRET-based, and visual wilt-based irrigation. |
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete): Wherley, B., K. Mclnnes, and R. Hejl. 2018. Data-driven irrigation scheduling techniques for managing sand-capped fairways. USGA Turfgrass Environ. Res. Summ. p. 243-247. |
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| Web URL(s): http://archive.lib.msu.edu/tic/ressum/2018/2018.pdf#page=251 Last checked: 05/02/2019 Requires: PDF Reader Notes: Item is within a single large file |
|  MSU catalog number: b3609415 |
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