Fastlink to record 313718
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| Full TGIF Record # 313718 Item 1 of 1 |
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| Web URL(s): | https://archive.lib.msu.edu/tic/ressum/2020/2020.pdf#page=226 Last checked: 09/02/2021 Requires: PDF Reader Notes: Item is within a single large file |
| Publication Type: | Report |
| Author(s): | Dyer, W.; Bremer, D.; Patrignani, A.; Fry, J.; Lavis, C.; Friell, J. |
| Author Affiliation: | Dyer, Bremer, Fry, and Lavis: Dept. of Horticulture and Natural Resources, Kansas State University; Patrignani: Dept. of Agronomy, Kansas State University; Friell: Toro Company |
| Title: | Integrating canopy dynamics, soil moisture, and soil physical properties to improve irrigation scheduling in turfgrass |
| Section: | Integrated turfgrass management Other records with the "Integrated turfgrass management" Section Ecophysiology: Water Other records with the "Ecophysiology: Water" Section |
| Source: | Turfgrass and Environmental Research Program: 2020 Research Summaries. 2020, p. 218-223. |
| Publishing Information: | [New York, New York]: The United States Golf Association Green Section |
| # of Pages: | 6 |
| Keywords: | TIC Keywords: Air temperature; Athletic fields; Canopy; Deficit irrigation; Evapotranspiration; Ground cover; Growth period; Irrigation scheduling; Multispectral analysis; Normalized Difference Vegetation Index; Physical properties of soil; Precipitation; Relative humidity; Soil moisture; Soil moisture sensors; Soil water content; Water deficit; Zoysia japonica |
| Cultivar Names: | Meyer |
| Language: | English |
| References: | 0 |
| See Also: | Other Reports from this USGA research project: 2017-38-648 |
| Note: | Figures Graphs |
| USGA Summary Points: | Utilizing a decision tree for our decision-making process was an effective way to regulate irrigation scheduling. Soil moisture sensor-based irrigation yielded 84% water savings compared to traditional frequency-based irrigation and 72% savings compared to deficit irrigation (60% ET) approaches. |
| ASA/CSSA/SSSA Citation (Crop Science-like – may be incomplete): | Dyer, W., D. Bremer, A. Patrignani, J. Fry, C. Lavis, and J. Friell. 2020. Integrating canopy dynamics, soil moisture, and soil physical properties to improve irrigation scheduling in turfgrass. USGA Turfgrass Environ. Res. Summ. p. 218-223. |
| Fastlink to access this record outside TGIF: | http://tic.lib.msu.edu/tgif/flink/RECNO/313718 |
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| Web URL(s) : | https://archive.lib.msu.edu/tic/ressum/2020/2020.pdf#page=226 Last checked: 09/02/2021 Requires: PDF Reader Notes: Item is within a single large file |
| MSU catalog number: | b3609415 |
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