Full TGIF Record # 129022
Item 1 of 1
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:
i
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
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.
Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=129022
If there are problems with this record, send us feedback about record 129022.
Choices for finding the above item:
Web URL(s):
http://www.apsnet.org/publications/phytopathology/backissues/Documents/1993Articles/Phyto83n08_806.pdf
    Last checked: 10/16/2015
    Requires: PDF Reader
Find Item @ MSU
MSU catalog number: b2219736a
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)