Diagrammatic scale for assessment of soybean rust severity
By C. Godoy, L. Koga, M. G. Canteri. 2006
285 citations recorded by the source corpus.
A diagrammatic scale to assess soybean (Glycine max) rust severity, caused by the fungus Phakopsora pachyrhizi, was developed in this study. Leaflets showing different severity levels were collected for determination of the minimum and maximum severity limits; intermediate levels were determined according to "Weber-Fechner's stimulus-response law". The proposed scale showed the levels of 0.6; 2; 7; 18; 42, and 78.5%. Scale validation was performed by eight raters (four inexperienced and four experienced), who estimated the severity of 44 soybean leaflets showing rust symptoms, with and without the use of the scale. Except for rater number eight, all showed a tendency to overestimate severity without the aid of the diagrammatic scale. With the scale, the raters obtained better accuracy and precision levels, although the tendency to overestimate was maintained. Experienced raters were more accurate and precise than inexperienced raters, and assessment improvements with the use of the scale were more significant for inexperienced raters.
Subfields: Molecular Biology, Plant Science
View Paper: https://www.semanticscholar.org/paper/a1e74f4ff07f27ea1818beddd02f0f925de046cd
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Citations in the corpus
- Mechanisms Involved in Soybean Rust-Induced Yield Reduction (2008, methodology): “…Campbell and Madden (1990): ( ) ( ) = + + ⎡ ⎤= + −⎢ ⎥⎣ ⎦∑ 1 1 1 1 AUDPC 2 n i i i iX X t t [1] where n is the number of assessments, Xi is the disease severity (based on diagrammatic scale, Godoy et al., 2006) at time = ti, and (ti+1 − ti) is the interval (days) between two consecutive assessments.”
- Foliar application of potassium silicate reduces the intensity of soybean rust (2009, unknown): “5 DLA (Godoy et al. 2006) at 85 days after seedling emergence (R5 growth stage) (Fehr 1977).”
- Plant disease severity estimated visually: a century of research, best practices, and opportunities for improving methods and practices to maximize accuracy (2021, methodology): “…yield similar results” Everitt 1998) of estimates of severity (for example, Kranz 1970; Forbes and Jeger 1987; Nutter Jr et al. 1993; Nutter Jr and Schultz 1995; Nita et al. 2003; Nutter Jr and Esker 2006; Godoy et al. 2006; Bardsley and Ngugi 2013; Bock et al. 2016b; Pereira et al. 2020).”
- Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging (2010, background): “Regression analysis has been widely used to demonstrate interrater (method) reliability (Smith et al., 1969; Nutter et al., 1993; Newton and Hackett, 1994; Nutter and Schulz, 1995; Parker et al., 1995a and b; Guan and Nutter, 2003; Bock et al., 2008a), intrarater (method) reliability (Newton and Hac”