Fastlink to record 328677
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| Full TGIF Record # 328677 Item 1 of 1 |
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| Web URL(s): | https://archive.lib.msu.edu/tic/ressum/2022/2022.pdf#page=201 Last checked: 06/07/2023 Requires: PDF Reader Notes: Item is within a single large file |
| Publication Type: | Report |
| Author(s): | Gaussoin, Roch; Carlson, Michael |
| Author Affiliation: | University of Nebraska-Lincoln |
| Title: | Advancing precision turfgrass management (Previously, Mining GreenKeeper app data to quantify the impact of turf research) |
| Section: | Integrated turfgrass management Other records with the "Integrated turfgrass management" Section Ecophysiology: Soil problems Other records with the "Ecophysiology: Soil problems" Section |
| Source: | Mike Davis Program for Advancing Golf Course Management: 2022 Progress Reports. 2022, p. 194-202. |
| Publishing Information: | Liberty Corner, New Jersey: The United States Golf Association Green Section |
| # of Pages: | 9 |
| Keywords: | TIC Keywords: Canopy reflectance; Golf fairway maintenance; Growth rate; Nitrogen fertilizers; Precision Turf Management; Regional variation; Remote sensing; Software evaluation; Standards; Variable-rate application; Visual evaluation |
| Language: | English |
| References: | 0 |
| See Also: | Other Reports from this USGA research project: 2019-30-700 |
| Note: | Pictures, color Graphs Figures |
| USGA Summary Points: | A systematic review of precision turfgrass research reported only 6% of research focused on developing models or decision support systems. Growth rates to achieve ideal visual quality of 6 to 7 as determined by a NDRE sufficiency index ranged from 4.84 to 22.9 kg ha-1 d-1 in 2019 and from 6.05 to 17.8 kg ha-1 d-1 in 2020 Growth rate and canopy reflectance of creeping bentgrass fairways varied from May to September, whereas canopy reflectance-based site-specific management units reduced the variability of growth compared to the whole fairway suggesting that reflectance can be used to reduce variability of growth rate. A Threshold-based VRN system reduced processing time to create prescription VRN applications maps and total N applied. |
| ASA/CSSA/SSSA Citation (Crop Science-like – may be incomplete): | Gaussoin, R., and M. Carlson. 2022. Advancing precision turfgrass management (Previously, Mining GreenKeeper app data to quantify the impact of turf research). USGA Turfgrass Environ. Res. Summ. p. 194-202. |
| Fastlink to access this record outside TGIF: | http://tic.lib.msu.edu/tgif/flink/RECNO/328677 |
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| Web URL(s) : | https://archive.lib.msu.edu/tic/ressum/2022/2022.pdf#page=201 Last checked: 06/07/2023 Requires: PDF Reader Notes: Item is within a single large file |
| MSU catalog number: | b3609415 |
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