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| Web URL(s): | https://scisoc.confex.com/scisoc/2022am/meetingapp.cgi/Paper/142546 Last checked: 02/02/2023 Requires: JavaScript; HTML5 |
| Publication Type: | Report |
| Content Type: | Abstract or Summary only |
| Author(s): | Lafferty, Haynes; Young, Joey; Straw, Chase M. |
| Author Affiliation: | Lafferty: Presenting Author and Texas Tech University; Young: Texas Tech University; Straw: Texas A&M University |
| Title: | Soil water dynamics across golf course fairways |
| Section: | Turfgrass and water conservation and management oral (includes student competition) Other records with the "Turfgrass and water conservation and management oral (includes student competition)" Section C05 turfgrass science Other records with the "C05 turfgrass science" Section |
| Meeting Info.: | Baltimore, Maryland: November 6-9, 2022 |
| Source: | ASA, CSSA, SSSA International Annual Meeting. 2022, p. 142546. |
| Publishing Information: | [Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America] |
| # of Pages: | 1 |
| Abstract/Contents: | "Golf course fairway acreage does not allow for adequate leaching capabilities, which has increased challenges with salt accumulation near the soil surface. Addition of GPS-guidance in soil moisture technology allows golf course superintendents to map variability of soil moisture and potentially soil salinity. The objective of this study was to compare georeferenced soil moisture instrument data to lab-based electrical conductivity (EC) measurements. Spectrum TDR350 and HydraGo readings were collected across six fairways (150-200 per fairway) and a direct EC measurement along with soil samples were obtained every 10th measurement. Lab-based EC was determined in a 1:2 soil:water ratio. Simple correlations between instrument and lab-based data were conducted and a stepwise was regression was used to determine which instrument variables could produce the strongest correlation with the lab-based EC. Correlations of EC between both soil moisture instruments were high (R2= 0.7918), but neither instrument was well correlated with lab-based EC measurements (TDR R2 = 0.2007; HydraGo R2 = 0.1206). The stepwise regression identified the TDR EC (R2= 0.1981) and the HydraGo volumetric water content (R2=0.4028) as having improved correlation to lab EC. Further refinements are needed to increase the accuracy of field EC measurements with portable instruments. Spatial variability maps could be developed to allow golf course superintendents to manipulate their fairway management practices based on soil salinity variability. These maps may allow for targeted leaching irrigation in areas of highest soil salinity concentration within golf course fairways, which may not be possible across entire fairways." |
| Language: | English |
| References: | 0 |
| Note: | "109-1" This item is an abstract only! |
| ASA/CSSA/SSSA Citation (Crop Science-like – may be incomplete): | Lafferty, H., J. Young, and C. M. Straw. 2022. Soil water dynamics across golf course fairways. Agron. Abr. p. 142546. |
| Fastlink to access this record outside TGIF: | http://tic.msu.edu/tgif/flink/RECNO/325051 |
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| Web URL(s) : | https://scisoc.confex.com/scisoc/2022am/meetingapp.cgi/Paper/142546 Last checked: 02/02/2023 Requires: JavaScript; HTML5 |
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