Full TGIF Record # 251513
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DOI:10.1094/PHYTO-104-11-S3.179
Web URL(s):http://apsjournals.apsnet.org/doi/pdf/10.1094/PHYTO-104-11-S3.179#page=3
    Last checked: 12/01/2014
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Publication Type:
i
Report
Content Type:Abstract or Summary only
Author(s):Dung, J. K.; Alderman, S. C.; Walenta, D. L.; Hamm, P. B.
Author Affiliation:Dung: Oregon State University, Madras; Alderman: USDA-ARS, Corvallis; Walenta: Oregon State University, LaGrande; Hamm: Oregon State University, Hermiston, OR
Title:Environmental factors influencing airborne ascospore concentrations of ergot in perennial ryegrass and exploratory development of a predictive model
Section:2014 Pacific Division meeting abstracts
Other records with the "2014 Pacific Division meeting abstracts" Section
Meeting Info.:Bozeman, Montana: July 9-11, 2014
Source:Phytopathology. Vol. 104, No. 11S, November 2014, p. S3.181.
Publishing Information:Lancaster, Pennsylvania: The Society Intelligencer Printing Company for The American Phytopathological Society
# of Pages:1
Keywords:TIC Keywords: Air temperature; Ascosphaera; Claviceps purpurea; Environmental factors; Ergot; Fungus control; Lolium perenne; Soil temperature
Abstract/Contents:"Ergot, caused by the fungus Claviceps purpurea, is an important disease affecting perennial ryegrass (PRG) seed production in the Columbia Basin of eastern Oregon. The objectives of this study were to identify environmental factors that contribute to ascospore production and develop a model to predict ascospore production events. Airborne ascospore concentrations were monitored in one PRG field in 2012 and two PRG fields in 2013. Environmental data were compiled from a nearby weather station in Hermiston, Oregon. Non-parametric regression, univariate analysis, and boxand-whisker plots identified several trends in ascospore concentrations and environmental variables. Minimum air temperatures between 5 and 12°C, soil temperatures between 14 and 22°C, daily soil degree days between 6 and 11, and a mean dew point between 3 and 10°C were significantly (P<0.05) correlated with peak spore production. Based on non-parametric local regression surfaces and distributions of environmental variables, point values were assigned to the following environmental variables: minimum air temperature (MinAirT), maximum, minimum, and mean soil temperature (MaxSoilT, MinSoilT, and MeanSoilT), soil degree days (SoilDD), and mean dew point (MeanDew). When used to predict the appearance of ≥1 ascospore/day, all environmental variables except MinAirT resulted in significant chi-square values and ranged in accuracy from 60 to 83%. All environmental variables resulted in significant chi-square values when used to predict the occurrence of ≥100 ascospores/day with an accuracy of 60 to 89%. An environmental favorability index (EFI) model was developed that included MaxSoilT, MinSoilT, SoilDD, and MeanDew. An EFI value of 2 predicted the occurrence of ≥1 ascospore with an accuracy of 81% while an EFI value of 3 predicted the occurrence of ≥100 ascospores with an accuracy of 90%. These results suggest that predictive models can be used to forecast ergot ascospore production events in PRG seed production systems of the Columbia Basin for improved control."
Language:English
References:0
Note:This item is an abstract only!
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Dung, J. K., S. C. Alderman, D. L. Walenta, and P. B. Hamm. 2014. Environmental factors influencing airborne ascospore concentrations of ergot in perennial ryegrass and exploratory development of a predictive model. Phytopathology. 104(11S):p. S3.181.
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DOI: 10.1094/PHYTO-104-11-S3.179
Web URL(s):
http://apsjournals.apsnet.org/doi/pdf/10.1094/PHYTO-104-11-S3.179#page=3
    Last checked: 12/01/2014
    Requires: PDF Reader
    Notes: Item is within a single large file
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