Full TGIF Record # 36075
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Web URL(s):http://archive.lib.msu.edu/tic/tgtre/article/1995nov1a.pdf
    Last checked: 12/20/2012
    Requires: PDF Reader
Publication Type:
i
Professional
Author(s):Brandenburg, R. L.
Author Affiliation:Professor of Entomology and Extension Entomologist at North Carolina State University
Title:Intuitive forecasting of turfgrass insect pests
Source:TurfGrass TRENDS. Vol. 4, No. 11, November 1995, p. 1-8.
Publishing Information:Washington, DC: TurfGrass Trends
# of Pages:8
Keywords:TIC Keywords: Growing degree days; Insect control; Insect identification; Models; Pest forecasting; Recommendations; Scouting
Abstract/Contents:Insects commonly cause their most severe damage when they occur unexpectedly. The availability of reliable computerized weather stations and intuitive model programs can assist in forecasting insect occurrence. This information is useful for predicting if an insect occurrence is going to happen earlier or later than normal. The use of such a system on golf courses in coastal North Carolina for mole cricket management has been a great asset for superintendents in this area. Includes: Insect modelling, "Intuitive modelling" defined, Monitoring equipment and services, "Intuitive modelling" in action and "Degree day" modelling.
Language:English
References:2
Note:Includes sidebars "Modelling tips" and "Collecting local weather data", p.8
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ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Brandenburg, R. L. 1995. Intuitive forecasting of turfgrass insect pests. TurfGrass Trends. 4(11):p. 1-8.
Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=36075
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http://archive.lib.msu.edu/tic/tgtre/article/1995nov1a.pdf
    Last checked: 12/20/2012
    Requires: PDF Reader
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