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| Web URL(s): | https://scisoc.confex.com/scisoc/2018am/meetingapp.cgi/Paper/113580
Last checked: 11/21/2018
Requires: JavaScript |
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| Publication Type:
| Report |
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| Content Type: | Abstract or Summary only |
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| Author(s): | Hopkins, Austin P.;
Hansen, Neil C.;
Hopkins, Bryan G.;
Campbell, Colin S. |
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| Author Affiliation: | Austin P. Hopkins, Hansen, and Bryan G. Hopkins: Plant and Wildlife Sciences, Brigham Young University, Provo, UT; Campbell: METER Group, Inc., Pullman, WA |
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| Title: | Remote sensing approaches to improve water and nitrogen management of Kentucky bluegrass |
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| Section: | Undergraduate (SASES) sessions
Other records with the "Undergraduate (SASES) sessions" Section
SASES undergraduate research contest - Poster III
Other records with the "SASES undergraduate research contest - Poster III" Section
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| Meeting Info.: | Baltimore, Maryland: November 4-7, 2018 |
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| Source: | ASA, CSSA and SSSA International Annual Meetings. 2018, p. 113580. |
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| Publishing Information: | [Madison, Wisconsin]: [American Society of Agronomy, Crop Science Society of America, and Canadian Society of Agronomy] |
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| # of Pages: | 1 |
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| Abstract/Contents: | "There is increasing pressure in arid regions to conserve water, especially during drought cycles. Turfgrass constitutes the largest irrigated area in the United States and is coming under scrutiny for water use in urban ecosystems. The purpose of this study is to evaluate responses of remote sensors to irrigation and nitrogen (N) regimes of Kentucky Bluegrass (Poa Pratensis). A plot study was conducted in 2017 and 2018 in Provo Utah with a full factorial design of three levels of nitrogen fertilizer (Deficient, Optimum, and excessive) and three irrigation practices (well watered, limited water, and drought stressed) with three replications. Remote sensors were an Infrared Radiometer for measuring the turf canopy temperature and a spectral reflectance sensor for measuring the NDVI, both permanently mounted on masts above the plots. Canopy temperature data was used to calculate the following water stress indices: Degrees Above Non Stressed (DANS) and Crop Water Stress Index (CWSI). The remote sensing data will be compared against measured soil water potential, soil water content, and plant growth parameters and the results will be used to suggest whether the remote sensing approaches can improve irrigation scheduling." |
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| Language: | English |
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| References: | 0 |
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| Note: | This item is an abstract only!
"Poster Number: 1032" |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Hopkins, A. P., N. C. Hansen, B. G. Hopkins, and C. S. Campbell. 2018. Remote sensing approaches to improve water and nitrogen management of Kentucky bluegrass. Agron. Abr. p. 113580. |
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Last checked: 11/21/2018
Requires: JavaScript |
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