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| Web URL(s): | https://scisoc.confex.com/scisoc/2019am/meetingapp.cgi/Paper/120658 Last checked: 02/03/2020 Requires: JavaScript |
| Publication Type: | Report |
| Content Type: | Abstract or Summary only |
| Author(s): | Dyer, Don W.; Bremer, Dale J.; Patrignani, Andres; Fry, Jack D.; Hoyle, Jared A. |
| Author Affiliation: | Dyer, Bremer, Fry, and Hoyle: Horticulture and Natural Resources, Kansas State University, Manhattan, KS; Patrignani: Agronomy, Kansas State University, Manhattan, KS |
| Title: | Integrating canopy dynamics, soil moisture, and soil physical property data to improve irrigation scheduling in turfgrasses |
| Section: | C05 turfgrass science Other records with the "C05 turfgrass science" Section Golf turf management poster (includes student competition) Other records with the "Golf turf management poster (includes student competition)" Section |
| Meeting Info.: | San Antonio, Texas: November 10-13, 2019 |
| Source: | ASA, CSSA and SSSA International Annual Meetings. 2019, p. 120658. |
| Publishing Information: | [Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America] |
| # of Pages: | 1 |
| Abstract/Contents: | "BACKGROUND AND PURPOSE: A critical challenge facing the turfgrass industry is the increasingly limited water for irrigation. Current irrigation strategies used by golf courses and athletic fields often rely on calendar schedules or deficit irrigation strategies that completely ignore soil moisture conditions. Integrating information from soil moisture sensors (SMS) to existing irrigation techniques has the potential to substantially advance irrigation management by improving the timing and amount of each irrigation event. We propose to develop an innovative approach that integrates all three components of the soil-plant-atmosphere continuum to generate turfgrass irrigation decisions. We hypothesize, when used properly, soil moisture, evapotranspiration (ET) and turfgrass quality can be utilized to improve irrigation scheduling and reduce total water use. METHOD: In the first year of study, we utilized various sensor technologies to help implement strategies for future research treatments. Firstly, we analyzed site-specific soil properties by utilizing the HYPROP instrument which uses innovative precision mini-tensiometers for automated measurements of soil moisture release curves and the WP4C instrument to determine plant available water within the soil. Other sensors included: SMS, normalized difference vegetation index (NDVI) sensors, and infrared radiometer (IRT) sensors that allow us to closely monitor the turf canopy responses and differences in soil/water relations within the soil. RESULTS/FINDINGS: The results allow us to set proper thresholds for initiating irrigation based on soil moisture, soil physical properties, and forecasted reference evapotranspiration (FRET). CONCLUSION: Our approach will leverage the nation-wide FRET product released by the National Weather Service by combining all the results from the technology of the sensors, FRET, short-term precipitation forecasts, and turfgrass health into the decision-making process for irrigation scheduling." |
| Language: | English |
| References: | 0 |
| Note: | This item is an abstract only! "362" "Poster #1572" |
| ASA/CSSA/SSSA Citation (Crop Science-like – may be incomplete): | Dyer, D. W., D. J. Bremer, A. Patrignani, J. D. Fry, and J. A. Hoyle. 2019. Integrating canopy dynamics, soil moisture, and soil physical property data to improve irrigation scheduling in turfgrasses. Agron. Abr. p. 120658. |
| Fastlink to access this record outside TGIF: | http://tic.msu.edu/tgif/flink/RECNO/310301 |
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| Web URL(s) : | https://scisoc.confex.com/scisoc/2019am/meetingapp.cgi/Paper/120658 Last checked: 02/03/2020 Requires: JavaScript |
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