Full TGIF Record # 278173
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Web URL(s):https://scisoc.confex.com/scisoc/2016am/webprogram/Paper99443.html
    Last checked: 11/22/2016
Publication Type:
i
Report
Content Type:Abstract or Summary only
Author(s):Grubbs, Becky; Henry, Gerald M.; Straw, Chase; Tucker, Kevin; Taylor, Zach
Author Affiliation:Grubbs: Crop and Soil Sciences, University of Georgia-Athens, Athens, GA; Henry: University of Georgia-Athens, Athens, GA; Straw: Crop and Soil Science, University of Georgia, Athens, GA; Tucker: Crop and Soil Sciences, University of Georgia, Athens, GA; Taylor: Helena Chemical Company, Greenville, NC
Title:Impact of soil spatial heterogeneity on fertility practices
Section:Golf turf poster (includes student competition)
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C05 turfgrass science
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Meeting Info.:Phoenix, Arizona: November 6-9, 2016
Source:ASA, CSSA and SSSA International Annual Meetings. 2016, p. 99443.
Publishing Information:[Milwaukee, Wisconsin]: [American Society of Agronomy and the Entomological Society of America]
# of Pages:1
Keywords:TIC Keywords: Electrical conductivity; Fertilization program; Golf fairways; Soil properties; Variable rate fertility
Abstract/Contents:"Current blanket fertility practices on golf course fairways do not account for spatial variability of soil properties, and may be wasteful and inefficient. Variable-rate fertility (VRF) is one means of accommodating spatial heterogeneity, but remains underdeveloped in turfgrass systems. Sensor technology in conjunction with geographic information systems (GIS) may allow turfgrass managers to identify management needs and delineate zones for VRF applications. Our objective was to explore the use of a mobile EC sensor device in conjunction with GIS as a means of evaluating the soil spatial structure of 6 golf course fairways. In non-saline soils, EC has been correlated to soil texture, organic matter and soil moisture. A 4-disc electrical conductivity (EC) sensor collected data in the top 30-40 cm of soil on two North Georgia golf courses (3 fairways per course). Approximately 300-600 EC data points were collected from each fairway and subsequently interpolated with GIS software to model the spatial structure of the data. Soil properties are typically not well-modeled by finite mathematical approaches to interpolation, so we elected to use ordinary kriging which relies on a more stochastic approach. Semi-variogram functions were selected by fairway based on best fit. Preliminary findings indicate that variability of soil EC may be significant to fertility management decisions."
Language:English
References:0
Note:This item is an abstract only!
"167-1628"
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Grubbs, B., G. M. Henry, C. Straw, K. Tucker, and Z. Taylor. 2016. Impact of soil spatial heterogeneity on fertility practices. Agron. Abr. p. 99443.
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    Last checked: 11/22/2016
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