A Standard Area Diagram Set to Estimate the Severity of Angular Leaf Spot in the Leaflets of Common Bean: Development and Validation

ABSTRACT This study aimed to develop and validate a standard area diagram set (SADs) to estimate the severity of angular leaf spot (ALS), caused by the fungus Pseudocercospora griseola, in the leaflets of common bean plants. For the elaboration of SADs, the minimum and maximum disease severity limit...

Full description

Saved in:
Bibliographic Details
Published in:Journal of phytopathology 2024-11, Vol.172 (6), p.n/a
Main Authors: Soares, Fernanda Dornelas, Rios, Jonas Alberto, Debona, Daniel, Silva, Leandro Castro, Rodrigues, Fabrício Ávila
Format: Article
Language:English
Subjects:
Beans
disease assessment
Estimates
Foliar diseases
Leafspot
Leaves
Phaseolus vulgaris
phytopathometry
Plant diseases
Pseudocercospora griseola
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:ABSTRACT This study aimed to develop and validate a standard area diagram set (SADs) to estimate the severity of angular leaf spot (ALS), caused by the fungus Pseudocercospora griseola, in the leaflets of common bean plants. For the elaboration of SADs, the minimum and maximum disease severity limits in the leaflets were considered, along with the intermediate levels following linear increments. The SADs had 10 levels of severity as follows: 0.5%, 2.2%, 4.5%, 9.6%, 20.1%, 30.8%, 41.2%, 52.1%, 67.4%, and 77.3%. The validation was performed by 20 raters, 10 inexperienced and 10 experienced in quantifying severities of foliar diseases. The severity estimates were obtained in 150 leaflets displaying different levels of severity without and using the proposed SADs. Accuracy, precision and reliability of the estimates were improved using SADs. The SADs obtained in the present study proved to be adequate to estimate the severity of ALS in the leaflets of common bean plants with the potential of use in any study in which it is crucial to quantify the severity of this foliar disease to discriminate treatments with precision and accuracy.
ISSN:0931-1785
1439-0434
DOI:10.1111/jph.13442