Proposal for a new standard area diagram to quantify the severity of orange rust in sugarcane

Orange rust (Puccinia kuehnii), a fungal disease of major concern in the sugarcane industry, can reduce the productivity of susceptible sugarcane varieties by up to 50% in many sugarcane-producing countries. The use of a standard area diagram (SAD) enhances the assessment of rust severity, improving the accuracy and consistency of disease quantification by evaluators. The present study aimed to develop and validate a new SAD for assessing the severity of orange rust in sugarcane. The SAD was constructed from symptomatic leaves collected in the field, with severity levels of 0, 1.5, 3.8, 7.3, 12.9, 20.7, 31.5, 44.4, and 63.2%. Validation was conducted with 30 evaluators with no prior experience, divided into two groups of 15. Disease severity was estimated from 100 leaf images, initially without the use of a SAD and subsequently with the aid of a SAD. One group used the proposed SAD, while the other used an old SAD for orange rust assessment. The proposed SAD reduced inter-evaluator variability, showed lower systematic bias, and had narrower limits of agreement, although Lin’s concordance correlation coefficient (CCC, ρc) remained low, suggesting that factors beyond the SAD itself - such as the intrinsic complexity of orange rust symptoms and evaluator-related factors - may influence visual assessment accuracy. Analysis of bias parameters showed significant reductions in location (u) and scale (v) biases, indicating higher reproducibility and accuracy of the proposed SAD.

Authors

Institutions

Publication Details

Journal
Plant Disease
Published
2026-09-21
DOI
https://doi.org/10.1094/pdis-08-26-1550-sr
Primary Topic
Sugarcane Cultivation and Processing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Proposal for a new standard area diagram to quantify the severity of orange rust in sugarcane

Humberson Rocha Silva, Maria Roselane Alves Oliveira, Adriano Francis Dorigan, André Ângelo Medeiros Gomes et al.
Plant Disease
Sugarcane Cultivation and Processing
article

Proposal for a new standard area diagram to quantify the severity of orange rust in sugarcane

Humberson Rocha Silva, Maria Roselane Alves Oliveira, Adriano Francis Dorigan, André Ângelo Medeiros Gomes, Djalma Euzébio Simões Neto, Felipe Dalla Lana, Willams José de Oliveira
article en

Abstract

Orange rust (Puccinia kuehnii), a fungal disease of major concern in the sugarcane industry, can reduce the productivity of susceptible sugarcane varieties by up to 50% in many sugarcane-producing countries. The use of a standard area diagram (SAD) enhances the assessment of rust severity, improving the accuracy and consistency of disease quantification by evaluators. The present study aimed to develop and validate a new SAD for assessing the severity of orange rust in sugarcane. The SAD was constructed from symptomatic leaves collected in the field, with severity levels of 0, 1.5, 3.8, 7.3, 12.9, 20.7, 31.5, 44.4, and 63.2%. Validation was conducted with 30 evaluators with no prior experience, divided into two groups of 15. Disease severity was estimated from 100 leaf images, initially without the use of a SAD and subsequently with the aid of a SAD. One group used the proposed SAD, while the other used an old SAD for orange rust assessment. The proposed SAD reduced inter-evaluator variability, showed lower systematic bias, and had narrower limits of agreement, although Lin’s concordance correlation coefficient (CCC, ρc) remained low, suggesting that factors beyond the SAD itself - such as the intrinsic complexity of orange rust symptoms and evaluator-related factors - may influence visual assessment accuracy. Analysis of bias parameters showed significant reductions in location (u) and scale (v) biases, indicating higher reproducibility and accuracy of the proposed SAD.

Plant Disease
Louisiana State University Agricultural Center (US), Universidade Federal Rural da Amazônia (BR), Hospital das Clínicas da Universidade Federal de Pernambuco (BR), Universidade Federal Rural de Pernambuco (BR)
Industry, innovation and infrastructure
Openalex Percentile: Top 13%
Sugarcane Cultivation and Processing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.