Fastlink to record 310850
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| Full TGIF Record # 310850 Item 1 of 1 |
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| Web URL(s): | https://archive.lib.msu.edu/tic/ressum/2019/2019.pdf#page=201 Last checked: 04/17/2020 Requires: PDF Reader Notes: Item is within a single large file |
| Publication Type: | Report |
| Author(s): | Guillard, Karl |
| Author Affiliation: | University of Connecticut |
| Title: | Solvita® soil test kits to categorize golf course fairway responsiveness to nitrogen fertilization |
| Section: | Integrated turfgrass management Other records with the "Integrated turfgrass management" Section Ecophysiology: Soil problems Other records with the "Ecophysiology: Soil problems" Section |
| Source: | Turfgrass and Environmental Research Program: 2019 Research Summaries. 2019, p. 192-204. |
| Publishing Information: | [New York, New York]: The United States Golf Association Green Section |
| # of Pages: | 13 |
| Keywords: | TIC Keywords: Golf fairways; Growth analysis; Nitrogen fertilization; Quality evaluation; Soil testing |
| Trade Names: | Solvita Soil Test Kits |
| Language: | English |
| References: | 0 |
| See Also: | Other Reports from this USGA research project: 2017-05-615 |
| Note: | Tables Graphs |
| USGA Summary Points: | Compost and organic fertilizer rates have produced a wide range of SLAN and SCB test concentrations in fairway creeping bentgrass plots. SLAN and SCB test concentrations respond linearly to compost and organic fertilizer rates. Fairway creeping bentgrass growth and quality responses are moderately to strongly correlated to SLAN and SCB test concentrations. Trafficked plots generally had lower response values than the No-Traffic plots, but trend responses across compost and organic fertilizer rates were generally similar for most variables. Binary logistic regression generated curves to estimate the probability that compost and organic fertilizer rate responses would equal or exceed that of the Standard fertilizer treatment. The SCB test produced better binary logistic regression model fits than the SLAN test. The SCB and SLAN tests show potential for estimating the mineralization potential of fairway creeping bentgrass soils, and these may be used to guide N fertilization. The 2019 results suggest that fairway creeping bentgrass soils can be categorized with Solivta tests as to their probability of equaling or exceeding the response of a standard N treatment. |
| ASA/CSSA/SSSA Citation (Crop Science-like – may be incomplete): | Guillard, K. 2019. Solvita® soil test kits to categorize golf course fairway responsiveness to nitrogen fertilization. USGA Turfgrass Environ. Res. Summ. p. 192-204. |
| Fastlink to access this record outside TGIF: | http://tic.msu.edu/tgif/flink/RECNO/310850 |
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| Web URL(s) : | https://archive.lib.msu.edu/tic/ressum/2019/2019.pdf#page=201 Last checked: 04/17/2020 Requires: PDF Reader Notes: Item is within a single large file |
| MSU catalog number: | b3609415 |
| Find from within TIC: | Digitally in TIC by file name: atrre2019 |
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