| |
| DOI: | 10.1002/csc2.20510 |
|---|
| Web URL(s): | https://acsess.onlinelibrary.wiley.com/doi/full/10.1002/csc2.20510
Last checked: 03/24/2022
https://acsess.onlinelibrary.wiley.com/doi/pdf/10.1002/csc2.20510
Last checked: 03/24/2022
Requires: PDF Reader |
|---|
| Publication Type:
| Refereed |
|---|
| Author(s): | Hempfling, James W.;
Ward, Daniel L.;
Lalancette, Norman;
Clarke, Bruce B.;
Murphy, James A. |
|---|
| Author Affiliation: | Hempfling: Department of Plant Biology, Rutgers, The State University of New Jersey, New Brunswick, NJ and Bayer CropScience LP, Cary, NC; Ward, Lalancette, Clarke, and Murphy: Department of Plant Biology, Rutgers, The State University of New Jersey, New Brunswick, NJ |
|---|
| Title: | Novel action thresholds of a logistic regression model to forecast dollar spot on bentgrasses |
|---|
| Section: | International Turfgrass Research Conference
Other records with the "International Turfgrass Research Conference" Section
Precision turfgrass management and new technology
Other records with the "Precision turfgrass management and new technology" Section
|
|---|
| Source: | Crop Science. Vol. 61, No. 5, September/October 2021, p. 3124-3133. |
|---|
| Publishing Information: | Madison, Wisconsin: Crop Science Society of America |
|---|
| # of Pages: | 10 |
|---|
| Abstract/Contents: | "Dollar spot (Clarireedia jacksonii) susceptibility varies among bentgrasses (Agrostis spp.). This trial assessed the ability of five action thresholds of the risk index (RI) of a logistic regression model to forecast dollar spot incidence on bentgrass fairway turf grown on a sandy loam in North Brunswick, NJ. Dollar spot incidence was assessed over 128 observation periods (May to Nov. annually) over 3 yr and related to five action thresholds for prediction accuracy. Action thresholds included a RI threshold of 20% (RI 20%), interpreting the change in the RI over time (RI slope), adjusting the RI upwards to maximize accuracy (RImax), combining RI 20% with RI slope, and combining RImax with RI slope. The RI 20% accurately predicted disease on 63 to 66% of observation periods for highly susceptible creeping bentgrass (A. stolonifera L.) cultivars Shark, Penncross, and Independence; other action thresholds improved accuracy by only 10% or less for these cultivars. Prediction accuracy on lower susceptibility cultivars (007, Declaration, and colonial bentgrass Capri; A. capillaris L.) was substantially improved with four novel action thresholds by reducing over-predictions compared to RI 20%. Accuracy was improved by as much as 32% when the RImax and RI slope were combined for Declaration compared to RI 20%. On low susceptibility cultivars, turf managers may be able to use action thresholds that incorporate a RI greater than 20% and/or RI slope to reduce fungicide inputs and maintain acceptable dollar spot control compared to RI 20%." |
|---|
| Language: | English |
|---|
| References: | 23 |
|---|
| See Also: | See also related article "A better way to spray? Improving a dollar spot forecast model" USGA Green Section Record, 61(8) May 5 2023, p. [1-10], R=327616. R=327616 |
|---|
| Note: | Tables
Graphs |
|---|
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Hempfling, J. W., D. L. Ward, N. Lalancette, B. B. Clarke, and J. A. Murphy. 2021. Novel action thresholds of a logistic regression model to forecast dollar spot on bentgrasses. Crop Sci. 61(5):p. 3124-3133. |
| Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=317032 |
| If there are problems with this record, send us feedback about record 317032. |
| Choices for finding the above item: |
|---|
| DOI: 10.1002/csc2.20510 |
| Web URL(s):
https://acsess.onlinelibrary.wiley.com/doi/full/10.1002/csc2.20510
Last checked: 03/24/2022
https://acsess.onlinelibrary.wiley.com/doi/pdf/10.1002/csc2.20510
Last checked: 03/24/2022
Requires: PDF Reader |
| 
MSU catalog number: b2211522a |
| Find from within TIC:
Digitally in TIC by record number. |
| Request through your local library's inter-library loan service (bring or send a copy of this TGIF record) |
