Soybean frogeye leaf spot [Cercospora sojina] : first weather-based prediction models developed from weather station and satellite data
In Argentina, soybean frogeye leaf spot occurs sporadically. However, particularly in the Pampas Region, the incidence and severity of this fungal disease have significantly increased in the last years. In the present study, its epidemic progress was evaluated in six sites of the Pampas region durin...
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| Format: | info:ar-repo/semantics/artículo |
| Language: | Inglés |
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2017
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| Online Access: | http://hdl.handle.net/20.500.12123/1226 |
| _version_ | 1855034768784097280 |
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| author | Sepulcri, Maria Gabriela Moschini, Ricardo Carlos Carmona, Marcelo Anibal |
| author_browse | Carmona, Marcelo Anibal Moschini, Ricardo Carlos Sepulcri, Maria Gabriela |
| author_facet | Sepulcri, Maria Gabriela Moschini, Ricardo Carlos Carmona, Marcelo Anibal |
| author_sort | Sepulcri, Maria Gabriela |
| collection | INTA Digital |
| description | In Argentina, soybean frogeye leaf spot occurs sporadically. However, particularly in the Pampas Region, the incidence and severity of this fungal disease have significantly increased in the last years. In the present study, its epidemic progress was evaluated in six sites of the Pampas region during the 2009/2010 soybean season. Also, meteorological variables were calculated during the nine days previous to each field observation of disease occurrence for each site, using weather station and satellite data. Rain occurrence was obtained from the 3B42 TRMM product and temperature images were taken from NOAA-AVHRR. Then, logistic models were used to estimate probabilities of having severe or moderate to null disease. The stepwise procedure used to select the best model included the interaction (product) between wetness frequency (WF) and sum of days without precipitation (DwP) as a variable. Estimations from the resulting model agreed with the observed epidemiological curve for one of the sites studied (El Trébol, Santa Fe) during the 2010/2011 soybean season and coincided with the low disease presence recorded during the 2011/2012 soybean season. These new results could be useful as support for rational fungicide application. |
| format | info:ar-repo/semantics/artículo |
| id | INTA1226 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| record_format | dspace |
| spelling | INTA12262019-01-03T17:44:36Z Soybean frogeye leaf spot [Cercospora sojina] : first weather-based prediction models developed from weather station and satellite data Sepulcri, Maria Gabriela Moschini, Ricardo Carlos Carmona, Marcelo Anibal Enfermedades de las Plantas Plant Diseases Forecasting Remote Sensing Climatic Data Weather Forecasting Soybeans Técnicas de Predicción Teledetección Datos Climatológicos Pronóstico del Tiempo Soja Cercospora Sojina Modelos Logísticos Logistic Models Epidemiological Curve In Argentina, soybean frogeye leaf spot occurs sporadically. However, particularly in the Pampas Region, the incidence and severity of this fungal disease have significantly increased in the last years. In the present study, its epidemic progress was evaluated in six sites of the Pampas region during the 2009/2010 soybean season. Also, meteorological variables were calculated during the nine days previous to each field observation of disease occurrence for each site, using weather station and satellite data. Rain occurrence was obtained from the 3B42 TRMM product and temperature images were taken from NOAA-AVHRR. Then, logistic models were used to estimate probabilities of having severe or moderate to null disease. The stepwise procedure used to select the best model included the interaction (product) between wetness frequency (WF) and sum of days without precipitation (DwP) as a variable. Estimations from the resulting model agreed with the observed epidemiological curve for one of the sites studied (El Trébol, Santa Fe) during the 2010/2011 soybean season and coincided with the low disease presence recorded during the 2011/2012 soybean season. These new results could be useful as support for rational fungicide application. Fil: Sepulcri, Maria Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: Moschini, Ricardo Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: Carmona, Marcelo Anibal. Universidad de Buenos Aires. Facultad de Agronomía. Cátedra de Fitopatología; Argentina 2017-09-14T17:50:48Z 2017-09-14T17:50:48Z 2015-06-30 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/1226 2383-4234 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Advances in applied agricultural science 3 (6) : 1-13. (2015) |
| spellingShingle | Enfermedades de las Plantas Plant Diseases Forecasting Remote Sensing Climatic Data Weather Forecasting Soybeans Técnicas de Predicción Teledetección Datos Climatológicos Pronóstico del Tiempo Soja Cercospora Sojina Modelos Logísticos Logistic Models Epidemiological Curve Sepulcri, Maria Gabriela Moschini, Ricardo Carlos Carmona, Marcelo Anibal Soybean frogeye leaf spot [Cercospora sojina] : first weather-based prediction models developed from weather station and satellite data |
| title | Soybean frogeye leaf spot [Cercospora sojina] : first weather-based prediction models developed from weather station and satellite data |
| title_full | Soybean frogeye leaf spot [Cercospora sojina] : first weather-based prediction models developed from weather station and satellite data |
| title_fullStr | Soybean frogeye leaf spot [Cercospora sojina] : first weather-based prediction models developed from weather station and satellite data |
| title_full_unstemmed | Soybean frogeye leaf spot [Cercospora sojina] : first weather-based prediction models developed from weather station and satellite data |
| title_short | Soybean frogeye leaf spot [Cercospora sojina] : first weather-based prediction models developed from weather station and satellite data |
| title_sort | soybean frogeye leaf spot cercospora sojina first weather based prediction models developed from weather station and satellite data |
| topic | Enfermedades de las Plantas Plant Diseases Forecasting Remote Sensing Climatic Data Weather Forecasting Soybeans Técnicas de Predicción Teledetección Datos Climatológicos Pronóstico del Tiempo Soja Cercospora Sojina Modelos Logísticos Logistic Models Epidemiological Curve |
| url | http://hdl.handle.net/20.500.12123/1226 |
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