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Web URL(s): | http://www.apsnet.org/publications/phytopathology/backissues/Documents/1993Articles/Phyto83n08_806.pdf Last checked: 10/16/2015 Requires: PDF Reader |
Publication Type:
| Refereed Report |
Author(s): | Nutter, F. W. Jr.;
Gleason, M. L.;
Jenco, J. H.;
Christians, N. C. |
Title: | Assessing the accuracy, intra-rater repeatability, and inter-rater reliablility of disease assessment systems |
Source: | Phytopathology. Vol. 83, No. 8, 1993, p. 806-812. |
Publishing Information: | St. Paul, MN: American Phytopathological Society |
# of Pages: | 7 |
Keywords: | TIC Keywords: Disease evaluation; Dollar spot; Agrostis stolonifera; Visual evaluation; Image analysis; Sclerotinia homoeocarpa; Analytical methods; Remote sensing; Multispectral analysis
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Abstract/Contents: | "Dollar spot of bentgrass, caused by Sclerotinia homoeocarpa, was chosen as a model pathosystem to evaluate the accuracy and precision of several disease assessment methods. Quadrats were assessed by visually estimating percent disease severity, by measuring percent reflectance of sunlight at 600 and 800nm, and by image analysis of color photographic slide. Visual and reflectance assessments (Y) versus the repeated assessments (X) revealed that intra-rater repeatability was highest for the 600-nm radiometric method as indicated by slope values not significantly different from 1.0 (P<=0.01). Coefficients of determination (R2) also were highest for this method, ranging from 98.7 to 99.6%, whereas R2 values relating intra-rater visual assessments ranged from 83.4 to 93.1%. Inter-rater reliability was highest using the 600-nm radiometric method as determined from regression equations relating one rater's visual and radiometric assessments to assessments performed by other raters. Slopes and intercepts among raters using the 600-am radiometric method did not differ significantly form 1.0 and zero, respectively. However, two of six intercepts and six of six slopes measuring inter-rater reliability of the visual assessment method were significantly different. Slopes significantly different from one indicate the presence of systematic bias among raters, whereas intercepts significantly different form zero indicate the presence of constant sources of error among raters. Radiometric assessments also had a better relationship (R2) to the true level of dollar spot severity as determined with acetate sheet-image analysis technique. The radiometric assessment method provided a fast, accurate method to measure dollar spot severity that was more precise than were visual assessments." |
Language: | English |
References: | 21 |
Note: | Tables Graphs |
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete): Nutter, F. W. Jr., M. L. Gleason, J. H. Jenco, and N. C. Christians. 1993. Assessing the accuracy, intra-rater repeatability, and inter-rater reliablility of disease assessment systems. Phytopathology. 83(8):p. 806-812. |
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| Web URL(s): http://www.apsnet.org/publications/phytopathology/backissues/Documents/1993Articles/Phyto83n08_806.pdf Last checked: 10/16/2015 Requires: PDF Reader |
| MSU catalog number: b2219736a |
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