Diagrammatic Scales for Assessing Brown Eye Spot (<i>Cercospora coffeicola</i>) in Red and Yellow Coffee Cherries

Paula, Paulo Victor Augusto Azevedo de; Pozza, Edson Ampélio; Santos, Leandro Alvarenga; Chaves, Eugênio; Maciel, M. P.; Paula, Júlio César Azevedo

doi:10.1111/jph.12499

Cited by 26 publications

(14 citation statements)

References 13 publications

(50 reference statements)

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“…Most deviations were negative, indicating a tendency towards severity underestimation. These results are similar to those found in diagrammatic scale validation studies involving other pathosystems, such as fruit and leaf diseases of papaya (18,24) and brown eye spot in red and yellow coffee cherries (13). Accuracy of visual severity estimates without the diagrammatic scale indicated average R 2 values of 0.59, within the range from 0.20 to 0.79, and amplitude around 0.59.…”

Section: Resultssupporting

confidence: 75%

Diagrammatic scale of severity for postharvest black rot (Ceratocystis paradoxa) in coconut palm fruits

Santos

Mussi‐Dias

Freire³

et al. 2017

Summa phytopathol.

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One of the major bottlenecks in the postharvest commercialization of coconut fruits is the black rot disease, caused by the fungus Ceratocystis paradoxa. This disease has been neglected in the main production areas or associated with other coconut diseases. To date, there are no standardized methods for assessing the intensity of such a problem. In this sense, the aim of our study was to prepare and validate a diagrammatic scale to evaluate the disease severity in coconut fruits. We also tested the scale applicability comparing distinct C. paradoxa isolates on inoculated fruits. ABSTRACT quantification, the fruit longitudinal sectioning was necessary, allowing the visualization of internal symptoms. The proposed scale showed good repeatability and high reproducibility, with absolute errors around 8%, while the coefficient of determination presented an average of 91% with the aid of the scale and of 59% without the scale. In addition, symptom analyses showed that the outer necrosis does not match the internal damage. Therefore, we suggest in this study that the severity estimate of this disease be obtained by using the presented scale. RESUMOUm dos principais problemas na comercialização de frutos de coco em pós-colheita tem sido a podridão negra, causada pelo fungo Ceratocystis paradoxa. Esta doença tem sido negligenciada nas principais áreas produtoras ou associadas à outras doenças da cultura. Até o presente momento, não existem métodos padronizados para a avaliação da intensidade de tal problema. Neste sentido, o objetivo do nosso estudo foi preparar e validar uma escala diagramática para avaliar a severidade da doença em frutos de coco. Com isso, foi possível testar a aplicabilidade da escala comparando diferentes isolados de C. paradoxa em Santos, P.H.D.; Mussi-Dias, V.; Freire, M.G.M.; Carvalho, B.M.; Silveira, S.F. Escala Diagramática para avaliação da severidade da podridão negra (Ceratocystis paradoxa) na pós colheita em coco. Summa Phytopathologica, v.43, n.4, p.269-275, 2017. frutos inoculados. Para esta quantificação, o seccionamento longitudinal do fruto foi necessário, permitindo a visualização interna dos sintomas. Dessa forma, a escala proposta apresentou boa repetibilidade e alta reprodutibilidade, com erros absolutos em torno de 8% e coeficientes de determinação com médias de 91% com o auxílio da escala e de 59% sem a escala. Além disso, as análises sintomáticas mostraram que uma necrose exterior não corresponde ao dano interno. Por isso, indica-se neste trabalho, a estimativa da severidade desta doença através da escala apresentada.

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Section: Resultssupporting

confidence: 75%

Diagrammatic scale of severity for postharvest black rot (Ceratocystis paradoxa) in coconut palm fruits

Santos

Mussi‐Dias

Freire³

et al. 2017

Summa phytopathol.

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“…These scales are subjective, not permitting the visual acuity adjustment in assessing severity levels (Campbell & Madden, 1990), impairing the accurate quantification of the injured area (Santos et al, 2017). On the other hand, diagrammatic scales or standard area diagram sets (SADs) not only improve the accuracy and the precision of disease evaluations, but also demonstrate significant improvements in the visual estimates of severity (Damasceno et al, 2014;De Paula et al, 2016;Santos et al, 2017). Thus, they are valuable tools in breeding programs, whose success is achieved depending on the exact and accurate use of quantification methods of disease severity and selection of resistant materials (Librelon et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Standard area diagram set for quantification of septoriosis in fruit of sour passion fruit

Costa¹,

Peixoto²,

Blum³

et al. 2019

Agraria

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A standard area diagram set (SADs) for severity evaluation of septoriosis (Septoria passiflorae) in fruit of sour passion fruit (Passiflora edulis Sims) was developed and validated in this study. The SADs presented eight severity levels (0.3; 0.5; 1; 2; 4; 10; 18; and 30%). For its validation, 20 raters were divided into groups (G1 and G3, inexperienced; G2 and G4, experienced) who initially estimated the disease severity without the aid of the SADs. Subsequently, G1 and G2 performed the second evaluation without the SADs, and G3 and G4 completed the second evaluation with the proposed SADs for each disease. The accuracy and precision of the evaluations were determined by simple linear regression and by Lin's concordance correlation coefficient. The proposed SADs allowed accurate and precise quantification of septoriosis severity, increasing the agreement between estimated and actual values. The increase in accuracy and precision in the non-aided groups, when present, was less pronounced than those increments observed in the SADs-aided groups. Lin's concordance correlation coefficient confirmed the increases in accuracy and precision detected by the linear regression analysis.Escala diagramática para a quantificação da severidade da septoriose em frutos do maracujazeiro azedo RESUMO: Uma escala diagramática para a avaliação da severidade da septoriose (Septoria passiflorae) em frutos do maracujazeiro azedo (Passiflora edulis Sims) foi desenvolvida e validada neste estudo. A escala diagramática apresentou oito níveis de severidade (0,3; 0,5; 1; 2; 4; 10; 18; e 30%). Para a sua validação, os 20 avaliadores foram divididos em grupos (G1 e G3, sem experiência; G2 e G4, com experiência), que inicialmente estimaram a severidade da doença sem auxílio da escala. Posteriormente, G1 e G2 fizeram outra avaliação sem escala, e G3 e G4 realizaram a avaliação com a escala proposta. A acurácia e a precisão das estimativas foram determinadas por regressão linear simples e pelo coeficiente de correlação de concordância de Lin. A escala diagramática proposta permitiu quantificar a severidade da septoriose de forma acurada e precisa, aumentando a concordância entre os valores estimados e os reais. O aumento da acurácia e precisão nos grupos que realizaram dupla avaliação sem escala, quando ocorreu, foi mais discreto que os incrementos observados nos grupos que utilizaram a escala. A análise de concordância de Lin confirmou os incrementos da acurácia e precisão detectados pela análise de regressão linear. Palavras-chave: frutos; Passiflora edulis Sims; fitopatometria; Septoria passifloraeStandard area diagram set for quantification of septoriosis in fruit of sour passion fruit Rev. Bras.

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“…Disease assessment should be easy and quick to perform and produce accurate and reproducible estimates, o diagrammatic scales arevaluable tools for identifying variations in disease resistance between genotypes. Using diagrammatic scales, the accuracy and precision of disease severity estimates are significantly improved, resulting in less experimental errors (De Paula et al, 2016;Lage et al, 2015;Santos et al, 2017). Consequently, there is a greater reliability of heritability estimates for resistance to the disease, increasing potential gains from genetic improvement through selection (Vieira et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Diagrammatic scale for evaluation of Bremia lactucae sporulation in lettuce seedlings

2023

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In disease assessment, the use of diagrammatic scales provides a standard reference point for comparison. There is still no precise and accurate scale for the evaluation of sporulation intensity of downy mildew in lettuce seedlings.The objective of this study was to propose a diagrammatic scale for the evaluation of downy mildew severity in lettuce seedlings. Thirty lettuce seedlings with different sporulation intensities were used to develop the proposed diagrammatic scale. Solaris lettuce cultivar was sown, and fifteen days after sowing, inoculations occurred using distilled water, the pathogen sporangia, and Tween 20. The monitoring of disease development was performed daily.When the first sporulation appeared on the cotyledonaryleaves,the proposed scale was verified to meet the minimum and maximum levels of disease severity. Two evaluators verified the accuracy, precision and performed the estimation of the sporulation and reproducibility using a scale. The images obtained are important in the standardization of a scale to identify resistant, tolerant and susceptible plants to downy mildew. Furthermore, it allows validating a diagrammatic scale of sporulation intensity of B. lactucae in lettuce seedlings. Thus, it is the diagrammatic scale developed in the work will guide future research to accelerate the detection of mildew severity in lettuce seedlings.

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Diagrammatic Scales for Assessing Brown Eye Spot (Cercospora coffeicola) in Red and Yellow Coffee Cherries

Cited by 26 publications

References 13 publications

Diagrammatic scale of severity for postharvest black rot (Ceratocystis paradoxa) in coconut palm fruits

Diagrammatic scale of severity for postharvest black rot (Ceratocystis paradoxa) in coconut palm fruits

Standard area diagram set for quantification of septoriosis in fruit of sour passion fruit

Diagrammatic scale for evaluation of Bremia lactucae sporulation in lettuce seedlings

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