2017
DOI: 10.1590/0100-5405/170792
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: 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 appli… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

2
9
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 10 publications
(11 citation statements)
references
References 11 publications
(11 reference statements)
2
9
0
Order By: Relevance
“…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%
See 1 more Smart Citation
“…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%
“…However, these keys are prone to high subjectivity and do not allow adjusting the visual acuity when evaluating the severity levels (Campbell & Madden, 1990). As a consequence, the precise quantification of the injured area is impaired (Santos, Mussi-Dias, Freire, Carvalho, & Silveira, 2017). Conversely, diagrammatic scales or standard area diagram sets (SADs), which are reference images representing several severity levels, provide more accurate, precise, and reliable assessments than other methods (Pethybridge & Melson, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…The septoriosis quantification in sour passion fruit has been performed by descriptive scales (Kudo et al, 2012, Vilela, 2013, Castro, 2015. 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).…”
Section: Introductionmentioning
confidence: 99%
“…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%
“…Descriptive scales have been used to assess some diseases occurring in sour passion fruit aiming to obtain resistant cultivars in breeding programs (Batistti, Krause, Baréa, Araujo, & Palú, 2013; Kudo, Peixoto, Junqueira, & Blum, 2012; Viana, Pires, Peixoto, Junqueira, & Blum, 2014). This type of evaluation is subjective and does not enable fitting the visual acuity when assessing the diseased plant tissue (Campbell & Madden, 1990; Santos, Mussi‐Dias, Freire, Carvalho, & Silveira, 2017). Therefore, SADs can be an essential tool to aid accuracy and reliable estimates of disease severity during disease quantification.…”
Section: Introductionmentioning
confidence: 99%