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| Web URL(s): | http://edepot.wur.nl/16065
Last checked: 06/10/2014
Requires: PDF Reader
Notes: Dutch language version
http://content.yudu.com/Library/A1o6lh/PitchcareJuneJulyIss/resources/92.htm
Last checked: 06/11/2014
Requires: PDF Reader
Notes: Pitchcare reprint
https://stri.lib.msu.edu/itb/articles/233-28.pdf
Last checked: 07/02/2007
Requires: PDF Reader
Notes: Available to TGIF and STRI users |
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| Access Restriction: | Certain MSU-hosted archive URLs may be restricted to legacy database members. |
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| Publication Type:
| Professional |
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| Author(s): | Mann, Ruth |
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| Author Affiliation: | Turfgrass Pathologist, STRI |
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| Title: | Online disease prediction: Can Greencast be used to optimise fungicidal control of microdochium patch? |
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| Section: | Research
Other records with the "Research" Section
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| Source: | International Turfgrass Bulletin. Vol. 233, July 2006, p. 28-31. |
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| Publishing Information: | Bingley, England: Sports Turf Research Institute |
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| # of Pages: | 4 |
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| Keywords: | TIC Keywords: Computer applications; Online services; Futures; Disease control; Disease forecasting; Application timing
Dutch Turfgrass Research Foundation Keywords: 508-B; Sports grounds; Sports turf soils; Competitive sports; Grasses; Poaceae; Plant pathogens; Snow moulds; Article
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| Abstract/Contents: | Profile "an online decision support tool called Greencast used in the USA [United States of America] to try to reduce prophylactic use of fungicides and encourage application only when occurrence of the disease is predicted," developed by Syngenta Crop Protection. States that "Greencast give predictions of no risk, low, medium and high disease risk presented as a map of the UK [United Kingdom] and Ireland for any given date, with regions coloured to identify the risk." Discusses research conducted to "validate the predictions from Greencast." Reports that "on average, 25% of untreated plots were infected with microdochium patch...four fungicidal applications were applied to the monthly treatments, which controlled microdochium patch...three fungicidal applications applied when medium risk was predicted and two applications when high risk was predicted gave...excellent disease control, with much less fungicide applied." Also reports that "Greencast also accurately predicted a severe dollar spot outbreak." |
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| Language: | English |
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| References: | 0 |
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| Note: | Reprint appears in Pitchcare, Vol. 13 June/July 2007, p. 74-75
Partial translated reprint appears in Greenkeeper [The Netherlands], 20(6) 2009, p. 47-48, with translated title "Online ziektevoorspelling: Is greencast effectief voor een optimale bestrijding van sneeuwschimmel?", Lang: Dutch
Pictures, color
Graphs |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Mann, R. 2006. Online disease prediction: Can Greencast be used to optimise fungicidal control of microdochium patch?. Int. Turfgrass Bull. 233:p. 28-31. |
| Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=115031 |
| If there are problems with this record, send us feedback about record 115031. |
| Choices for finding the above item: |
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| Web URL(s):
http://edepot.wur.nl/16065
Last checked: 06/10/2014
Requires: PDF Reader
Notes: Dutch language version
http://content.yudu.com/Library/A1o6lh/PitchcareJuneJulyIss/resources/92.htm
Last checked: 06/11/2014
Requires: PDF Reader
Notes: Pitchcare reprint
https://stri.lib.msu.edu/itb/articles/233-28.pdf
Last checked: 07/02/2007
Requires: PDF Reader
Notes: Available to TGIF and STRI users |
| 
MSU catalog number: SB 433 .A1 S6 |
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