Qualification of a plant disease simulation model: performance of the LATEBLIGHT model across a broad range of environments

The concept of model qualification, i.e., discovering the domain over which a validated model may be properly used, was illustrated with LATEBLIGHT, a mathematical model that simulates the effect of weather, host growth and resistance, and fungicide use on asexual development and growth of Phytophth...

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Autores principales: Andrade-Piedra, Jorge L., Forbes, Gregory A., Shtienberg, Dani, Grünwald, Niklaus J., Chacón, María G., Taipe, Marco V., Hijmans, Robert J., Fry, William E.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Scientific Societies 2005
Materias:
Acceso en línea:https://hdl.handle.net/10568/166689
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author Andrade-Piedra, Jorge L.
Forbes, Gregory A.
Shtienberg, Dani
Grünwald, Niklaus J.
Chacón, María G.
Taipe, Marco V.
Hijmans, Robert J.
Fry, William E.
author_browse Andrade-Piedra, Jorge L.
Chacón, María G.
Forbes, Gregory A.
Fry, William E.
Grünwald, Niklaus J.
Hijmans, Robert J.
Shtienberg, Dani
Taipe, Marco V.
author_facet Andrade-Piedra, Jorge L.
Forbes, Gregory A.
Shtienberg, Dani
Grünwald, Niklaus J.
Chacón, María G.
Taipe, Marco V.
Hijmans, Robert J.
Fry, William E.
author_sort Andrade-Piedra, Jorge L.
collection Repository of Agricultural Research Outputs (CGSpace)
description The concept of model qualification, i.e., discovering the domain over which a validated model may be properly used, was illustrated with LATEBLIGHT, a mathematical model that simulates the effect of weather, host growth and resistance, and fungicide use on asexual development and growth of Phytophthora infestans on potato foliage. Late blight epidemics from Ecuador, Mexico, Israel, and the United States involving 13 potato cultivars (32 epidemics in total) were compared with model predictions using graphical and statistical tests. Fungicides were not applied in any of the epidemics. For the simulations, a host resistance level was assigned to each cultivar based on general categories reported by local investigators. For eight cultivars, the model predictions fit the observed data. For four cultivars, the model predictions overestimated disease, likely due to inaccurate estimates of host resistance. Model predictions were inconsistent for one cultivar and for one location. It was concluded that the domain of applicability of LATEBLIGHT can be extended from the range of conditions in Peru for which it has been previously validated to those observed in this study. A sensitivity analysis showed that, within the range of values observed empirically, LATEBLIGHT is more sensitive to changes in variables related to initial inoculum and to weather than to changes in variables relating to host resistance.
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spelling CGSpace1666892024-12-19T14:11:48Z Qualification of a plant disease simulation model: performance of the LATEBLIGHT model across a broad range of environments Andrade-Piedra, Jorge L. Forbes, Gregory A. Shtienberg, Dani Grünwald, Niklaus J. Chacón, María G. Taipe, Marco V. Hijmans, Robert J. Fry, William E. disease resistance fungal diseases fungi fungicides hosts pathogens plant diseases plant pathogenic fungi pythiaceae simulation models varieties weather The concept of model qualification, i.e., discovering the domain over which a validated model may be properly used, was illustrated with LATEBLIGHT, a mathematical model that simulates the effect of weather, host growth and resistance, and fungicide use on asexual development and growth of Phytophthora infestans on potato foliage. Late blight epidemics from Ecuador, Mexico, Israel, and the United States involving 13 potato cultivars (32 epidemics in total) were compared with model predictions using graphical and statistical tests. Fungicides were not applied in any of the epidemics. For the simulations, a host resistance level was assigned to each cultivar based on general categories reported by local investigators. For eight cultivars, the model predictions fit the observed data. For four cultivars, the model predictions overestimated disease, likely due to inaccurate estimates of host resistance. Model predictions were inconsistent for one cultivar and for one location. It was concluded that the domain of applicability of LATEBLIGHT can be extended from the range of conditions in Peru for which it has been previously validated to those observed in this study. A sensitivity analysis showed that, within the range of values observed empirically, LATEBLIGHT is more sensitive to changes in variables related to initial inoculum and to weather than to changes in variables relating to host resistance. 2005-12 2024-12-19T12:56:34Z 2024-12-19T12:56:34Z Journal Article https://hdl.handle.net/10568/166689 en Scientific Societies Andrade-Piedra, Jorge L.; Forbes, Gregory A.; Shtienberg, Dani; Grünwald, Niklaus J.; Chacón, María G.; Taipe, Marco V.; Hijmans, Robert J. and Fry, William E. 2005. Qualification of a plant disease simulation model: performance of the LATEBLIGHT model across a broad range of environments. Phytopathology®, Volume 95 no. 12 p. 1412-1422
spellingShingle disease resistance
fungal diseases
fungi
fungicides
hosts
pathogens
plant diseases
plant pathogenic fungi
pythiaceae
simulation models
varieties
weather
Andrade-Piedra, Jorge L.
Forbes, Gregory A.
Shtienberg, Dani
Grünwald, Niklaus J.
Chacón, María G.
Taipe, Marco V.
Hijmans, Robert J.
Fry, William E.
Qualification of a plant disease simulation model: performance of the LATEBLIGHT model across a broad range of environments
title Qualification of a plant disease simulation model: performance of the LATEBLIGHT model across a broad range of environments
title_full Qualification of a plant disease simulation model: performance of the LATEBLIGHT model across a broad range of environments
title_fullStr Qualification of a plant disease simulation model: performance of the LATEBLIGHT model across a broad range of environments
title_full_unstemmed Qualification of a plant disease simulation model: performance of the LATEBLIGHT model across a broad range of environments
title_short Qualification of a plant disease simulation model: performance of the LATEBLIGHT model across a broad range of environments
title_sort qualification of a plant disease simulation model performance of the lateblight model across a broad range of environments
topic disease resistance
fungal diseases
fungi
fungicides
hosts
pathogens
plant diseases
plant pathogenic fungi
pythiaceae
simulation models
varieties
weather
url https://hdl.handle.net/10568/166689
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