Multivariate Comparison of Papaya Ringspot Epidemics

Mora-Aguilera, Gustavo; Nieto-Ángel, Daniel; Campbell, C. L.; Téliz, D.; García, Esteban

doi:10.1094/phyto-86-70

Cited by 29 publications

(22 citation statements)

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“…We found high correlations between Y 40 , Y 75 , and AUDPC S , but not with the relative rate parameter (β). This result is similar to that of Mora-Aguilera et al (53), but differs from the findings of Kranz (45) in an analysis of 40 different hostpathogen combinations.…”

Section: Discussionsupporting

confidence: 82%

“…The estimated parameter values for those models can then be used to evaluate disease control treatments (39). Moreover, interactions between host, pathogen, and weather as represented by disease progress curves have been tested by multivariate techniques, such as factor analysis or principal component analysis (19,45,53). Disease progress curves describing the seasonal development of apple scab have been constructed in a few studies (2,3,36,37) but no attempt has been made to analyze the relationships between the estimated parameters for the corresponding growth model or the effect of disease control treatments.…”

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confidence: 99%

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Analysis of Summer Epidemic Progress of Apple Scab at Different Apple Production Systems in the Netherlands and Hungary

Holb¹,

Heijne²,

Withagen³

et al. 2005

Phytopathology®

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Holb, I. J., Heijne, B., Withagen, J. C. M., Gáll, J. M., and Jeger, M. J. 2005. Analysis of summer epidemic progress of apple scab at different apple production systems in the Netherlands and Hungary. Phytopathology 95:1001-1020. Two, 4-year studies on summer epidemic progress of apple scab were conducted at Randwijk, the Netherlands, from 1998 until 2001 and at Eperjeske, Hungary, from 2000 until 2003. Disease assessments were made on scab-susceptible cv. Jonagold. A range of nonlinear growth functions were fitted to a total of 96 disease progress curves (3 treatment classes × 2 plant parts × 2 disease measures × 4 years × 2 locations) of apple scab incidence and severity. The three-parameter logistic model gave the most consistent fit across three treatment classes in the experiment (integrated, organic-sprayed, and organic-unsprayed). Parameters estimated or calculated from the three-parameter logistic function were used to analyze disease progress. These were disease incidence and severity on the day of the first assessment (Y s ); final disease incidence or upper asymptote for incidence (Y if ) or severity (Y sf ); fruit incidence and severity on day 40, after which no new lesions on fruits appeared (Y 40 ); leaf incidence and severity on day 75, at which shoot growth stopped (Y 75 ); relative (β) and "absolute" (θ) rates of disease progress; inflection point (M); and area under the disease progress curve (AUDPC S ) standardized by the duration of the total epidemic. Comparisons among disease progress curves were made by correlation and factor analysis followed by Varimax rotation. There were large differences but high positive correlations among the parameters Y s , Y f , θ, and AUDPC S across the three treatment classes. In the factor analysis, two factors accounted for more than 85% of the total variance for both incidence and severity. Factor 1 gave an overall description of epidemic progress of both scab incidence and severity and included the parameters Y f , Y 40 , Y 75 , θ, and AUDPC S . Factor 2 identified a relationship between the relative rate parameter (β) and the inflection point (M) for severity and a relationship between disease incidence and severity. For an integrated or an organic orchard, θ, AUDPC S , and one of Y f or Y 75 (because of the link with host phenology) can characterize apple scab epidemics during summer. Based on these findings, improved scab management approaches were provided for integrated and organic apple production systems.Additional keywords: Akaike information criterion, disease management, disease warning model, epidemiology, fixed effect, nonlinear mixedeffect modeling, random effect, R language.

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Section: Discussionsupporting

confidence: 82%

mentioning

confidence: 99%

Analysis of Summer Epidemic Progress of Apple Scab at Different Apple Production Systems in the Netherlands and Hungary

Holb¹,

Heijne²,

Withagen³

et al. 2005

Phytopathology®

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“…The Weibull probability density function and cumulative distribution can be successfully used to describe a wide range of disease progress curves (Pennypacker et al 1980;Mora-Aguilera et al 1996). In this formula b is a scale parameter, which is inversely related to the rate of disease increase.…”

Section: Field Experimentsmentioning

confidence: 99%

Quantitative resistance and its components in 16 barley cultivars to yellow rust, Puccinia striiformis f. sp. hordei

et al. 2006

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Sixteen barley cultivars with a susceptible infection type (IT = 7-8) in the seedling stage to an isolate of race 24 of Puccinia striiformis f. sp. hordei were planted at two locations in Mé xico. Disease severity (DS) parameters were assessed for the flag leaf and for the upper three leaves. The cultivars represented at least five levels of quantitative resistance ranging from very susceptible to quite resistant. ''Granado'', ''Gloria/Copal'' and ''Calicuchima-92'' represented the most resistant group and had an IT of 7 or 8. The cultivar · environment interaction variance, although significant, was very small compared with the cultivar variance. The disease severity parameters were highly correlated. The monocyclic parameter DS m , measured when the most susceptible cultivar had reached its maximum DS, was very highly correlated with the area under the disease progress curve (AUDPC), r being 0.98.Components of quantitative resistance were evaluated in two plant stages. In the seedling stage small cultivar effects for the latency period were observed, which were not correlated with the quantitative resistance measured in the field. In the adult plant stage the latency period (LP), infection frequency (IF) and colonization rate (CR) were measured in the upper two leaves. The LP was much longer than in the seedling stage and differed strongly between cultivars. The differences in IF were too large, those in CR varied much less. The components showed association with one another. The LP and IF were well correlated with the AU-DPC (r = 0.7-0.8).

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“…Como ejemplo, Mora-Aguilera et al (1996) indican que la localidad y fecha de trasplante (en febrero, abril o junio) son factores agronómicos importantes para coincidir con la menor incidencia de plantas infectadas, en la región central del estado de Veracruz, México. dynamics is important in disease incidence analyses in papaya plantations.…”

Section: Estrategias De Manejo De La Virosisunclassified

“…dynamics is important in disease incidence analyses in papaya plantations. For example, Mora-Aguilera et al (1996) state that the transplanting location and date (in February, April or June) are important agronomic factors to make them coincide with a lower incidence of infected plants in the central region of the state of Veracruz, Mexico.…”

Section: Estrategias De Manejo De La Virosismentioning

confidence: 99%

Resistencia de Vasconcellea cauliflora al Virus de la mancha anular de la papaya-potyvirus (PRSV-P) y su introgresión en Carica papaya

Ordaz-PÃ©rez

GÃ¡mez-VÃ¡zquez

HernÃ¡ndez-Ruiz

et al. 2017

RMF

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El cultivo de papaya (Carica papaya L.) posee gran importancia económica, la cual es afectada por enfermedades causadas por virus, principalmente transmitidas por áfidos vectores. Aunque las prácticas convencionales de control de vectores parecen mantener al margen la propagación del virus, no es suficiente para evitar pérdidas en la producción. Existen desarrollos de la ingeniería genética que permiten obtener plantas resistentes a las enfermedades virales. En la presente revisión, se aborda la problemática asociada a los virus con mayor impacto para el cultivo de la papaya: Papaya ringspot potyvirus (PRSV-P) y el Papaya mosaic virus (PapMV), su variabilidad genética y las estrategias de mejoramiento genético que han permitido la generación de poblaciones resistentes a través de la recombinación de especies del género Vasconcellea con variedades comerciales de Carica papaya.

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Multivariate Comparison of Papaya Ringspot Epidemics

Cited by 29 publications

References 0 publications

Analysis of Summer Epidemic Progress of Apple Scab at Different Apple Production Systems in the Netherlands and Hungary

Analysis of Summer Epidemic Progress of Apple Scab at Different Apple Production Systems in the Netherlands and Hungary

Quantitative resistance and its components in 16 barley cultivars to yellow rust, Puccinia striiformis f. sp. hordei

Resistencia de Vasconcellea cauliflora al Virus de la mancha anular de la papaya-potyvirus (PRSV-P) y su introgresión en Carica papaya

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