| |
| DOI: | 10.1094/PHYTO.2011.101.6.S264 |
|---|
| Web URL(s): | http://apsjournals.apsnet.org/doi/pdf/10.1094/PHYTO.2011.101.6.S264#page=5
Last checked: 06/20/2016
Requires: PDF Reader
Notes: Item is within a single large file |
|---|
| Publication Type:
| Report |
|---|
| Author(s): | Smith, D. L.;
Lyles, J. L.;
Wilson, C.;
Kerns, J. P. |
|---|
| Author Affiliation: | Smith and Lyles: Oklahoma State University, Stillwater, OK; Wilson and Kerns: University of Wisconsin, Madison, WI |
|---|
| Title: | Field validation and in vitro confirmation of temperature and relative humidity variables used to predict fungicide application for the control of dollar spot of creeping bentgrass |
|---|
| Section: | 2011 Southern Division meeting abstracts
Other records with the "2011 Southern Division meeting abstracts" Section
|
|---|
| Meeting Info.: | Corpus Christi, Texas: February 6-7, 2011 |
|---|
| Source: | Phytopathology. Vol. 101, No. 6S, June 2011, p. S268-S269. |
|---|
| Publishing Information: | Lancaster, Pennsylvania: The Society Intelligencer Printing Company for The American Phytopathological Society |
|---|
| # of Pages: | 2 |
|---|
| Keywords: | TIC Keywords: Agrostis stolonifera; Disease control; Dollar spot; Fungicide application; Fungicide efficacy; In vitro; Meteorological factors; Sclerotinia homoeocarpa
|
|---|
| Abstract/Contents: | "Dollar spot, caused by Sclerotinia homoeocarpa, is the most damaging disease of closely mown creeping bentgrass and annual bluegrass putting greens. Repeated fungicide applications are typically required to control dollar spot and maintain acceptable turfgrass quality. To improve efficiency of fungicide programs disease prediction models are often used. Previously, logistic regression was used to develop a model that input weather variables to predict probability of dollar spot development [P(Y)]. The model inputs include 5- day moving averages of minimum air temperature [MNT], average relative humidity [RH], and a class variable for fungicide [FUNG] use [1 = fungicide used; 0 = no fungicide used] to describe P(Y). According to the model, 5-day average MNT above 14°C was conducive for the development of dollar spot. When 5-day average MNT was between 14°C and 23°C, 5-day average RH of 75% or above was considered sufficient for dollar spot development. The MNT and RH thresholds were confirmed using two controlled environment chamber experiments where: 1) growth of S. homoeocarpa was monitored on the surface of soil amended with grass clippings; 2) dollar spot symptom development was monitored in small pots containing creeping bentgrass. In 2010, the predictive model was used to time fungicide applications in independent field validation studies in OK and WI. Compared to 14-day calendar-based program, the model required six fewer fungicide applications in OK and correctly identified periods of weather that were conducive for the disease. In WI, no reduction in fungicide applications occurred using the model; however, periods conducive for dollar spot during the season were correctly identified. These results suggest that the model correctly identified weather conditions that favor dollar spot, even in widely varying environments." |
|---|
| Language: | English |
|---|
| References: | 0 |
|---|
| Note: | This item is an abstract only! |
|---|
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Smith, D. L., J. L. Lyles, C. Wilson, and J. P. Kerns. 2011. Field validation and in vitro confirmation of temperature and relative humidity variables used to predict fungicide application for the control of dollar spot of creeping bentgrass. Phytopathology. 101(6S):p. S268-S269. |
| Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=272561 |
| If there are problems with this record, send us feedback about record 272561. |
| Choices for finding the above item: |
|---|
| DOI: 10.1094/PHYTO.2011.101.6.S264 |
| Web URL(s):
http://apsjournals.apsnet.org/doi/pdf/10.1094/PHYTO.2011.101.6.S264#page=5
Last checked: 06/20/2016
Requires: PDF Reader
Notes: Item is within a single large file |
| 
MSU catalog number: b2219736a |
| Find from within TIC:
Digitally in TIC by file name: phytp2011junsoutherndiv |
| Request through your local library's inter-library loan service (bring or send a copy of this TGIF record) |
