Full TGIF Record # 134420
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Web URL(s):http://turf.rutgers.edu/research/abstracts/symposium2008.pdf
    Last checked: 11/05/2015
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Publication Type:
i
Report
Content Type:Abstract or Summary only
Author(s):Giménez, Daniel; Han, Han; Murphy, James A.
Author Affiliation:Giménez: Department of Environmental Sciences; Han: Ecology, Evolution and Natural Resources; Murphy: Plant Biology and Pathology, Rutgers University, New Brunswick, New Jersey
Title:Saturated hydraulic conductivity of sand-based root zones
Section:Plenary presentations
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Meeting Info.:New Brunswick, NJ: January 10-11, 2008
Source:Proceedings of the Seventeenth Annual Rutgers TurfgrassSymposium. 2008, p. 23.
Publishing Information:New Brunswick, NJ: Center for Turfgrass Science, Cook College, Rutgers, The State University of New Jersey
# of Pages:1
Keywords:TIC Keywords: Saturated hydraulic conductivity; Sand-based root zones; Measurement; Soil water retention; Models; Particle size
Abstract/Contents:"Hydraulic property criteria suggested by the U.S. Golf Association (USGA) Green Section are used to select construction materials for golf putting greens, but measurement of these hydraulic properties is difficult and results are highly variable. This is particularly true in the case of the saturated hydraulic conductivity, Ksat. An alternative to direct measurement of hydraulic properties is their prediction using other measured predictor variable(s) such as soil water retention properties and particle size distribution data. A power-law model of Ksat was modified to derive all needed parameters from the inflection point of a s-shaped soil water retention function. The proposed model has been successfully used to predict textural averages of Ksat, but it has not been tested on individual samples. The objective of this study was to apply the model to the prediction of Ksat values of root zone mixes. Four datasets containing laboratory measurements of Ksat and water retention curves covering a range of textural compositions and levels of compaction were analyzed. The model successfully predicted Ksat for the four data sets. The linear relationship between predicted and measured Ksat was significant at P>0.95. Furthermore, significant correlations were found between the water retention derived parameters of the Ksat model and parameters characterizing particle size distributions of the mixes. This result suggests that in the absence of water retention information, Ksat could be predicted from particle size data. The proposed model could be used to improve the design, construction and management of golf courses."
Language:English
References:0
Note:This item is an abstract only!
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Giménez, D., H. Han, and J. A. Murphy. 2008. Saturated hydraulic conductivity of sand-based root zones. Proc. Annu. Rutgers Turfgrass Symp. p. 23.
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http://turf.rutgers.edu/research/abstracts/symposium2008.pdf
    Last checked: 11/05/2015
    Requires: PDF Reader
    Notes: Item is within a single large file
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MSU catalog number: SB 433 .R88
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