Coffee leaf rust assessment: comparison and validation of diagrammatic scales for Coffea arabica

Figueiredo, Yasmim Freitas; Oliveira, Júlia Marques; Almeida, Kize Alves; Pereira, Priscilla de Fátima; Pedroso, Luma Alaís; Guimarães, Marina de Resende Faria; Costa, Marileide Moreira; Pozza, Edson Ampélio

doi:10.1007/s10658-022-02570-2

Cited by 8 publications

(4 citation statements)

References 27 publications

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“…Estimates of BLS severity with the aid of the proposed SAD were more accurate, precise and close to the actual values and, consequently, with greater agreement (ρc) than with Stover's scale, as shown by the analysis of coe cients of linear regression. Precision and accuracy are determinants for the identi cation of symptoms and represent the most appropriate way to quantify disease (Amorim & Bergamin Filho, 2011;Figueiredo et al, 2022). In this study, the values of the repeatability coe cient were 91%, close to that found in other studies on different crops and diseases (Figueiredo et than with Stover's scale (Fig.…”

Section: Discussionsupporting

confidence: 86%

“…For our SAD, frequency distribution analysis was used to determine intermediate levels or degrees of severity of the SAD (Azevedo de Paula et al, 2016;Belan et al, 2014Belan et al, , 2020Figueiredo et al, 2022;Freitas et al, 2015;Nuñez et al, 2017). This analysis identi ed which severity value interval(s) occurred more frequently and subdivided them on the SAD.Here, black leaf streak (BLS) in banana leaves showed a higher frequency (78.4%) with severity values up to 40%; however, within this larger interval (0 to 40%), there were smaller intervals.…”

mentioning

confidence: 99%

“…In turn, each level was made up of three severity values, which allowed the evaluators get a better interpretation, obtaining more accuracy and precise estimates, since SADs provide visual examples of disease severity, they are used as reference to reduce subjectivity and increase precision and accuracy of disease assessments (Capucho et al 2011) compared with ordinal rating scales. SADs made from high-resolution digital images facilitate a better interpretation of the estimates of the severity of a disease(Belan et al, 2014(Belan et al, , 2020Figueiredo et al, 2022;Nuñez et al, 2017;Pereira et al, 2021). Notably, a maximum severity value of 93.4% was observed, representing the behavior of pathogen in natural conditions without any BLS control.…”

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confidence: 99%

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New proposed of standard area diagram scale for assessing black sigatoka in bananas

Nuñez,

Feria-Gómez,

Pérez-Ochoa

et al. 2023

Preprint

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Black sigatoka, or black leaf streak (BLS), is caused by Pseudocercospora fijiensis and is the most important foliar disease in Musa production. Our goal was to develop a new standard area diagram (SAD) with high-resolution digital images with six disease levels: 0 (0%), 1 (0.1–5.0%), 2 (5.01–13.0%), 3 (13.01–23.0%), 4 (23.01–40.0%), 5 (40.01–65.0%) and 6 (> 65.0%) and compare BLS severity results in banana leaves with those based on another SAD. Five evaluations were conducted by thirteen different evaluators and each evaluation was performed at seven-day intervals. The first assessment was done without a SADs. Evaluators performed two assessments with each SAD. The statistics were analyzed with linear regression and Lin’s concordance correlation. With the proposed SAD, the evaluators improved the precision, accuracy, repeatability and reproducibility and reduced the residual distribution, as compared using the other SAD. The proposed SAD is a tool that aids users in producing a disease estimate that is close to the real value of BLS in banana leaves.

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Section: Discussionsupporting

confidence: 86%

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confidence: 99%

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confidence: 99%

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New proposed of standard area diagram scale for assessing black sigatoka in bananas

Nuñez,

Feria-Gómez,

Pérez-Ochoa

et al. 2023

Preprint

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“…The observations were determined on leaves of coffee. The infestation of the leaf rust disease was observed randomly by measuring the severity of leaf rust with diagrammatic scales described by Figueiredo et al [11].…”

Section: Designmentioning

confidence: 99%

Intensity of Leaf Rust Disease on Four Robusta Coffee Clones in Natar, South Lampung

Harmiansyah,

Diptaningsari,

Wardani

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Lampung Province is the producer and exporter of coffee in Indonesia. Leaf rust disease is an important disease in coffee and is caused by fungus Hemileia vastatrix Berk & Br. This disease has spread to all coffee cultivation areas worldwide, including Indonesia. The incidence of this disease can cause production losses and reducing productivity up to 50%. The aim of the study was to determine the intensity of leaf rust disease in four Robusta coffee (Coffea canephora) clones in Natar, South Lampung Regency, Lampung Province, namely BP 436, BP 534, BP 939 and SA 203. The experiment was conducted in a completely randomized block design, with four clones, 30 replicates, and 30 evaluation samples. The intensity of disease attacks was calculated using Townsend-Heuberger formula. The results indicated that the intensity of disease attack on four clones was classified as a mild attack, with the lowest attack level was on BP 534 clone (5.63%). Robusta coffee is relatively tolerant to leaf rust disease, however management of this disease must be applied to prevent greater yield losses.

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New standard area diagram set for assessing black sigatoka in bananas

Pinzón-Núñez,

Feria-Gómez,

Pérez-Ochoa

et al. 2024

Eur J Plant Pathol

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Black sigatoka, or black leaf streak (BLS), is caused by Pseudocercospora fijiensis and is the most important foliar disease in Musa production. Our goal was to develop a new standard area diagram set (SADs) with high-resolution digital images to aid in visual classification using a quantitative ordinal scale representing six disease severity ranges: 0 (0%), 1 (0 – 5%], 2 (5 – 13%], 3 (13 – 23%], 4 (23 – 40%], 5 (40 – 65%] and 6 (65—100%] and compare visual estimates of BLS severity on banana leaves with those using a previously developed ordinal scale. Three evaluations were conducted by thirteen evaluators and each evaluation was performed at seven-day intervals. The first assessment was done without a SADs. Evaluators subsequently performed two assessments with each the old ordinal scale and the novel SADs. Using the new SADs, evaluators precision, accuracy, repeatability, reproducibility, and residual distributions were improved. The proposed SADs is a tool that helps users in more accurately estimating the severity of BLS.

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Coffee leaf rust assessment: comparison and validation of diagrammatic scales for Coffea arabica

Cited by 8 publications

References 27 publications

New proposed of standard area diagram scale for assessing black sigatoka in bananas

New proposed of standard area diagram scale for assessing black sigatoka in bananas

Intensity of Leaf Rust Disease on Four Robusta Coffee Clones in Natar, South Lampung

New standard area diagram set for assessing black sigatoka in bananas

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