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| Publication Type:
| Refereed |
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| Author(s): | Butler, E. L.;
Tredway, L. P. |
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| Author Affiliation: | Department of Plant Pathology, North Carolina State University, Raleigh, North Carolina |
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| Title: | Comparison of methods for evaluation of spring dead spot incidence in hybrid bermudagrass |
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| Section: | Diseases (plant pathology)
Other records with the "Diseases (plant pathology)" Section
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| Meeting Info.: | Llandudno, Wales, UK: July 10-15 2005 |
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| Source: | International Turfgrass Society Research Journal. Vol. 10, No. Part 1, 2005, p. 273-280. |
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| Publishing Information: | Aberystywth, Ceredigion, UK: International Turfgrass Society |
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| # of Pages: | 8 |
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| Keywords: | TIC Keywords: Comparisons; Analytical methods; Spring dead spot; Hybrid bermudagrasses; Visual evaluation; Image analysis; Cynodon dactylon; Fungicide evaluation; Fungicide application; Application timing; Disease control
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| Abstract/Contents: | "Spring dead spot (Ophisophaerella spp.) of bermudagrass (Cynodon dactylon) is difficult to research because of its erratic distribution in the field. Accurate measurement of disease incidence may help to counteract this by minimizing experimental error. Three methods were compared for their ability to accurately measure spring dead spot incidence: visual estimation (VE), a point-intersect method (PI), and digital imaging (DI). These assessment methods were implemented on two field studies conducted in Raleigh, NC to evaluate fungicide efficacy, application method, and application timing for spring dead spot (SDS). Results of this study indicate that DI was more effective than VE for assessment of SDS incidence. DI consistently produced higher r2 values in one study and lower coefficient of variation (CV), minimum significant difference (MSD), and mean square error (MSE) values than VE in both studies. Reductions in experimental error translated directly to differences in mean separations used to compare disease incidence in response to fungicide treatments. DI was not consistently more accurate or precise than PI, as indicated by the lack of significant differences among MSE values. Overall, DI and PI were the most effective and efficient methods for assessment of SDS incidence in bermedagrass. VE was the least accurate assessment method and should not be used to asses SCS incidence. Digital imaging could have additional applications in turfgrass pathology where there is a distinct contrast between healthy and diseased turf, such as with dollar spot caused by Sclerotinia homoeocarpa. The accuracy of DI for assessment of other diseases, such as brown patch (Rhizoctonia solani), where there is no distinct contrast between healthy and diseased turf, warrants further investigation." |
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| Language: | English |
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| References: | 24 |
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| Note: | Tables
Graphs |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Butler, E. L., and L. P. Tredway. 2005. Comparison of methods for evaluation of spring dead spot incidence in hybrid bermudagrass. Int. Turfgrass Soc. Res. J. 10(Part 1):p. 273-280. |
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