| |
| Web URL(s): | https://archive.lib.msu.edu/tic/its/articles/2005jou196.pdf
Last checked: 09/29/2008
Requires: PDF Reader |
|---|
| Access Restriction: | Certain MSU-hosted archive URLs may be restricted to legacy database members. |
|---|
| Publication Type:
| Refereed |
|---|
| Author(s): | Horvath, Brandon;
Vargas, Joseph Jr. |
|---|
| Author Affiliation: | Department of Plant Pathology, Michigan State University, East Lansing, Michigan |
|---|
| Title: | Analysis of dollar spot disease severity using digital image analysis |
|---|
| Section: | Diseases (plant pathology)
Other records with the "Diseases (plant pathology)" Section
|
|---|
| Meeting Info.: | Llandudno, Wales, UK: July 10-15 2005 |
|---|
| Source: | International Turfgrass Society Research Journal. Vol. 10, No. Part 1, 2005, p. 196-201. |
|---|
| Publishing Information: | Aberystywth, Ceredigion, UK: International Turfgrass Society |
|---|
| # of Pages: | 6 |
|---|
| Keywords: | TIC Keywords: Dollar spot; Disease severity; Sclerotinia homoeocarpa; Image analysis; Photography; Disease forecasting; Analytical methods
|
|---|
| Abstract/Contents: | "Dollar spot (Sclerotinia homoeocarpa F.T. Bennett) is a major pathogen of turfgrasses and can cause the loss of large turf areas if left untreated. Attempts to develop predictive models for this disease have met with little success. One of the main impediments to model development is the time-prohibitive use of foci counts to monitor disease prograss. Digital image analysis (DIA) may be an improved, objective method to assess disease progress without prohibitive inputs of time and labor associated with the current method. Digital images from two sampling locations within a larger study were taken throughout 2001. The images were analyzed using image analysis software to determine the percent disease severity within a location. Disease progress curves generated from DIA and foci counts were compared using the area under the disease prograss curve (AUDPC). The curves generated by the two methods were not significantly different (p<0.13). Regression analysis showed a weak relationship between foci number and percent severity that is presumably due to foci changing in size and resulting in a change in severity without a corresponding change in the number of foci. Digital image analysis allows objective measurements of disease severity and is able to monitor dollar spot progress over time. These techniques will aid the development of predictive models for dollar spot epidemics." |
|---|
| Language: | English |
|---|
| References: | 21 |
|---|
| Note: | Graphs |
|---|
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Horvath, B., and J. Vargas. 2005. Analysis of dollar spot disease severity using digital image analysis. Int. Turfgrass Soc. Res. J. 10(Part 1):p. 196-201. |
| Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=105371 |
| If there are problems with this record, send us feedback about record 105371. |
| Choices for finding the above item: |
|---|
| Web URL(s):
https://archive.lib.msu.edu/tic/its/articles/2005jou196.pdf
Last checked: 09/29/2008
Requires: PDF Reader |
| 
MSU catalog number: SB 433 .I52 v. 10 |
| Request through your local library's inter-library loan service (bring or send a copy of this TGIF record) |
