Weather-based models for predicting grape powdery mildew (Uncinula necator (Schwein) Burrill) epidemics

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Powdery mildew, caused by Uncinula necator (Schwein) Burrill is one of the most damaging disease affecting grapevines (Vitis vinifera L.) in Mendoza and worldwide, reducing yield and fruit quality. Throughout six growing seasons (2001/02; 2002/03; 2005/06; 2007/08; 2008/09; 2009/10), powdery mildew...

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Autores principales: Oriolani, Enrique J. A., Moschini, Ricardo C., Salas, Sergio, Martinez, Malvina I., Banchero, Santiago
Formato: Artículo revista
Lenguaje:Español
Publicado: Facultad de Ciencias Agrarias-UNCuyo 2015
Materias:
oídio de la vid
variables meteorológicas
modelos logísticos
powdery mildew
meteorological variables
logistic models
Acceso en línea:https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/3315
Aporte de:
Revista de la Facultad de Ciencias Agrarias UNCuyo de Universidad Nacional de Cuyo
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institution Universidad Nacional de Cuyo
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container_title_str Revista de la Facultad de Ciencias Agrarias UNCuyo
language Español
format Artículo revista
topic oídio de la vid
variables meteorológicas
modelos logísticos
powdery mildew
meteorological variables
logistic models
spellingShingle oídio de la vid
variables meteorológicas
modelos logísticos
powdery mildew
meteorological variables
logistic models
Oriolani, Enrique J. A.
Moschini, Ricardo C.
Salas, Sergio
Martinez, Malvina I.
Banchero, Santiago
Weather-based models for predicting grape powdery mildew (Uncinula necator (Schwein) Burrill) epidemics
topic_facet oídio de la vid
variables meteorológicas
modelos logísticos
powdery mildew
meteorological variables
logistic models
author Oriolani, Enrique J. A.
Moschini, Ricardo C.
Salas, Sergio
Martinez, Malvina I.
Banchero, Santiago
author_facet Oriolani, Enrique J. A.
Moschini, Ricardo C.
Salas, Sergio
Martinez, Malvina I.
Banchero, Santiago
author_sort Oriolani, Enrique J. A.
title Weather-based models for predicting grape powdery mildew (Uncinula necator (Schwein) Burrill) epidemics
title_short Weather-based models for predicting grape powdery mildew (Uncinula necator (Schwein) Burrill) epidemics
title_full Weather-based models for predicting grape powdery mildew (Uncinula necator (Schwein) Burrill) epidemics
title_fullStr Weather-based models for predicting grape powdery mildew (Uncinula necator (Schwein) Burrill) epidemics
title_full_unstemmed Weather-based models for predicting grape powdery mildew (Uncinula necator (Schwein) Burrill) epidemics
title_sort weather-based models for predicting grape powdery mildew (uncinula necator (schwein) burrill) epidemics
description Powdery mildew, caused by Uncinula necator (Schwein) Burrill is one of the most damaging disease affecting grapevines (Vitis vinifera L.) in Mendoza and worldwide, reducing yield and fruit quality. Throughout six growing seasons (2001/02; 2002/03; 2005/06; 2007/08; 2008/09; 2009/10), powdery mildew incidence values (expressed as daily epidemic increment rates) were observed in clusters from flowering to onset of ripening (change of color of the grape berries), in a grapevine planted with the susceptible Chenin cultivar at the EEA INTA Mendoza (Luján de Cuyo). From hourly values of thermal-moisture elements recorded by upper canopy sensors, meteorological variables were calculated in the 15 previous days of each epidemic observation. Using variables which integrate the effects of air temperature and humidity and frequency of light precipitations over the epidemic progress, logistic models were adjusted for estimating the probability of occurrrence of severe, moderate and nil epidemic increment rates, reaching maximum prediction accuracy of 92.5% (two variable models, N=40). Predicted values by the univariate model (selected by Stepwise procedure; prediction accuracy: 87.5%) were validated with the epidemic curve observed during 2000/2001 growing season. These model predictions could complement epidemic observations, giving regional scale to warning systems for improving the decision making process regarding disease chemical control.
publisher Facultad de Ciencias Agrarias-UNCuyo
publishDate 2015
url https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/3315
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first_indexed 2022-06-20T13:53:17Z
last_indexed 2022-06-20T13:53:17Z
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