Escalas logarítmicas diagramáticas para evaluar la severidad del manchado de hojas y cálices de jamaica

Ortega-Acosta, Santo Ángel; Velasco-Cruz, Ciro; HernÃ¡ndez-Morales, Javier; Ochoa-Martínez, Daniel Leobardo; HernÃ¡ndez-Ruiz, Javier

doi:10.18781/r.mex.fit.1606-6

Cited by 6 publications

(9 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, the use of SADs can reduce the tendentious pattern of severity overestimation, as verified in this and other studies (Valeriano et al, 2015, Ortega-Acosta et al, 2016Nuñez et al, 2017). Although the overestimation tendency E1 = evaluation 1; E2 = evaluation 2.…”

Section: Resultssupporting

confidence: 76%

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

Costa¹,

Peixoto²,

Blum³

et al. 2019

Agraria

View full text Add to dashboard Cite

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.

show abstract

Section: Resultssupporting

confidence: 76%

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

Costa¹,

Peixoto²,

Blum³

et al. 2019

Agraria

View full text Add to dashboard Cite

show abstract

“…These v within this vari entage of estim n this range wa n the percenta ompared to G1 2019 onas s) in (D); he on. In ue for (G3) alues ation mates as not ge of 1 and The presence of absolute errors is common in visual estimates of severity, and its reduction is indispensable in disease quantification (Ortega-Acosta, Velasco-Cruz, Hernández-Morales, Ochoa-Martínez, & Hernández-Ruiz, 2016;Santos et al, 2017). The absolute error values obtained in the SADs-aided evaluations may be considered suitable since more than 91% were concentrated within the acceptable range of 10% (Tomerlin & Howell, 1988;Nutter & Worlwitlikit, 1989).…”

Section: Methodsmentioning

confidence: 99%

Standard Area Diagram Set for Bacterial Spot Quantification in Entire-Margined Leaves of Sour Passion Fruit

Costa¹,

Peixoto²,

Blum³

et al. 2019

JAS

View full text Add to dashboard Cite

This study developed and validated a standard area diagram set (SADs) to aid in the estimation of bacterial spot (Xanthomonas axonopodis pv. passiflorae) severity in entire-margined leaves of sour passion fruit (Passiflora edulis Sims). The SADs consisted of eight severity levels (3; 6; 12; 25; 50; 77, and 88%). For its validation, 20 raters, who initially estimated the disease severity without the aid of the SADs, were divided into groups (G1 and G3, inexperienced; G2 and G4, experienced). Subsequently, G1 and G2 performed the second evaluation without the SADs, and G3 and G4 completed the second evaluation using the proposed SADs. The accuracy and precision of the assessments were determined by simple linear regression and by the Lin’s concordance correlation coefficient. The increase in accuracy was confirmed by the 80% constant error-free estimates (G3 and G4) and 100% (G3) and 80% (G4) systematic error-free estimates when the SADs was used. Precision increased with the increase in the coefficient of determination, the reduction in absolute errors, and the increase in the reproducibility of the estimates between pairs of raters. Inexperienced raters benefited the most from the use of the SADs. The increase in the accuracy and precision in the non-aided groups, when present, was less pronounced than those increments observed in the SADs-aided groups. The Lin’s concordance correlation coefficient confirmed the increased accuracy and precision detected by the linear regression analysis and indicated increased agreement between the estimated and actual values of disease severity in the SADs-aided groups.

show abstract

“…According to the criteria employed by ORTEGA et al, (2016), absolute error values of up to 5% are accepted as excellent, while values of up to 10% are considered acceptable. In the present study, when the scale was not used 55% of the data fell within the range of -10% and 10%, while in the case when the scale was used 73.3% and 68% of the data fell within the range of -10 and 10 in the first and second evaluations, respectively.…”

Section: Discussionmentioning

confidence: 99%

“…According to ORTEGA et al, (2016), most of the research conducted on the agricultural pathosystems showed that when the diagrammatic scales are not used, there is a tendency to overestimate error values showed the tendency of the evaluators to underrate the disease with and without the use of the scale, with higher error values in the latter case. Evaluations that underestimate the disease decrease when the scale is used, thus escalating the overestimation.…”

Section: Discussionmentioning

confidence: 99%

“…Only then can all kinds of variability be avoided when different evaluators are used to measure the same characteristics of the material (PRICE et al, 2016), (NUÑEZ et al, 2017). The most popularly used technique is the diagrammatic scales method because it is a direct and simple measurement process to assess disease severity (ORTEGA et al, 2016). In this method, the plant tissue area affected by the disease symptoms is delimited in a percentage quantification, supported by graphical tools that appreciably improve the measurements.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A diagramatic scale to quantify severity of antracnose in Rubus glaucus Benth

2019

View full text Add to dashboard Cite

Rubus glaucus Benth, commonly referred to as mora de Castilla, is affected by Colletotrichum acutatum, as it induces anthracnose in many of the plant organs. Generally, it affects the fruits during the post-harvest phase and damages them, causing economic losses due to the poor crop quality. At present, no standardized methods are available for this pathosystem that can be used to characterize quantitatively the epidemic and to permit the prediction and comparison of the disease management techniques. In this research, we proposed a logarithmic diagrammatic scale of the severity of anthracnose induced by C. acutatum in the fruits of the thornless variety of R. glaucus Benth. This scale is constructed on the adjustment of the Weber-Fechner law and includes six classes, viz., 0%, 1-6%, 7-25%, 26-50%, 51-75%, 76-100%. The scale was validated using 14 evaluators, which entailed measuring the affected fruits with and without utilizing the scale; this improved the precision, accuracy and reproducibility of the calculations whenever the scale was used. We concluded that the scale proposed can be used to assess the severity of anthracnose induced by the fungus in the R. glaucus Benth fruits.

show abstract

Escalas logarítmicas diagramáticas para evaluar la severidad del manchado de hojas y cálices de jamaica

Cited by 6 publications

References 11 publications

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

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

Standard Area Diagram Set for Bacterial Spot Quantification in Entire-Margined Leaves of Sour Passion Fruit

A diagramatic scale to quantify severity of antracnose in Rubus glaucus Benth

Contact Info

Product

Resources

About