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| Web URL(s): | https://archive.lib.msu.edu/tic/ressum/2023/2023.pdf#page=204
Last checked: 05/10/2024
Requires: PDF Reader
Notes: Item is within a single large file |
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| Publication Type:
| Report |
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| Author(s): | Straw, Chase;
Sapkota, Madan;
Wyatt, Briana;
Howe, Julie |
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| Author Affiliation: | Texas A&M University |
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| Title: | Variable-rate versus conventional nitrogen application methods to golf course fairways |
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| Section: | Ecophysiology: Soil problems
Other records with the "Ecophysiology: Soil problems" Section
Integrated turfgrass management
Other records with the "Integrated turfgrass management" Section
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| Source: | Mike Davis Program for Advancing Golf Course Management: 2023 Progress Reports. 2023, p. 196-202. |
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| Publishing Information: | Liberty Corner, New Jersey: The United States Golf Association Green Section |
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| # of Pages: | 7 |
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| Language: | English |
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| References: | 0 |
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| See Also: | Other Reports from this USGA research project: 2022-13-756 |
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| Note: | Spatial maps |
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| USGA Summary Points: | Preliminary data collections using a Toro Precision Sense 6000 and EM-38 were conducted at three golf facilities: The City Course at Briarcrest (Bryan, TX), The Bearkat Course (Huntsville, TX), and The Club at Carlton Woods (The Woodlands, TX). The Club at Carlton Woods was selected for Objective 1, featuring two courses with sand-capped fairways, one course was hybrid bermudagrass and the other zoysiagrass. Variability in apparent electrical conductivity (ECa) within these fairways was affected by turfgrass and soil attributes. However, the varying relationships observed within and between courses highlight the need for further research (Objective 1). Different vegetation indices were closely linked to soil moisture and, to some extent, penetration resistance, rather than distinctly indicating their ability to detect spatial variability in tissue N (Objective 1). The Bearkat Course was selected for Objectives 2 and 3. Preliminary data were used to group nine fairways into three similar groups of three (i.e., randomized complete block design) based on soil and turfgrass characteristics for Objective 3 in 2024 and 2025. Aerial imagery and ground data acquired during 2022 and 2023 are currently undergoing processing to evaluate seasonal variations (Objective 2) and to generate variable-rate prescription N fertility maps (Objective 3). |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Straw, C., M. Sapkota, B. Wyatt, and J. Howe. 2023. Variable-rate versus conventional nitrogen application methods to golf course fairways. USGA Turfgrass Environ. Res. Summ. p. 196-202. |
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| Web URL(s):
https://archive.lib.msu.edu/tic/ressum/2023/2023.pdf#page=204
Last checked: 05/10/2024
Requires: PDF Reader
Notes: Item is within a single large file |
| 
MSU catalog number: b3609415 |
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