1. RODNA
  2. INTA
  3. INTA
Registro completo de metadatos
Campo DC Valor Lengua/Idioma
dc.provenanceINTA-
dc.contributorSepulcri, Maria Gabriela-
dc.contributorMoschini, Ricardo Carlos-
dc.contributorCarmona, Marcelo A.-
dc.creatorSepulcri, Maria Gabriela-
dc.creatorMoschini, Ricardo Carlos-
dc.creatorCarmona, Marcelo A.-
dc.date2017-09-14T17:50:48Z-
dc.date2017-09-14T17:50:48Z-
dc.date2015-06-30-
dc.date.accessioned2019-04-29T16:27:03Z-
dc.date.available2019-04-29T16:27:03Z-
dc.date.issued2017-09-14T17:50:48Z-
dc.date.issued2017-09-14T17:50:48Z-
dc.date.issued2015-06-30-
dc.identifier2383-4234-
dc.identifierhttp://hdl.handle.net/20.500.12123/1226-
dc.identifierhttp://aaasjournal.org/soybean-frogeye-leaf-spot-cercospora-sojina-first-weather-based-prediction-models-developed-weather-station-satellite-data/-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/313490-
dc.descriptionIn 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.-
dc.formatapplication/pdf-
dc.languageeng-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.sourceAdvances in applied agricultural science 3 (6) : 1-13. (2015)-
dc.sourcereponame:INTA Digital (INTA)-
dc.sourceinstname:Instituto Nacional de Tecnología Agropecuaria-
dc.sourceinstacron:INTA-
dc.source.uri2383-4234-
dc.source.urihttp://hdl.handle.net/20.500.12123/1226-
dc.source.urihttp://aaasjournal.org/soybean-frogeye-leaf-spot-cercospora-sojina-first-weather-based-prediction-models-developed-weather-station-satellite-data/-
dc.source.urihttp://hdl.handle.net/20.500.12123/1226-
dc.source.urihttp://aaasjournal.org/soybean-frogeye-leaf-spot-cercospora-sojina-first-weather-based-prediction-models-developed-weather-station-satellite-data/-
dc.subjectEnfermedades de las Plantas-
dc.subjectPlant Diseases-
dc.subjectForecasting-
dc.subjectRemote Sensing-
dc.subjectClimatic Data-
dc.subjectWeather Forecasting-
dc.subjectSoybeans-
dc.subjectTécnicas de Predicción-
dc.subjectTeledetección-
dc.subjectDatos Climatológicos-
dc.subjectPronóstico del Tiempo-
dc.subjectSoja-
dc.subjectCercospora Sojina-
dc.subjectModelos Logísticos-
dc.subjectLogistic Models-
dc.subjectEpidemiological Curve-
dc.titleSoybean frogeye leaf spot [Cercospora sojina] : first weather-based prediction models developed from weather station and satellite data-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
Aparece en las colecciones: INTA

Ficheros en este ítem:
No hay ficheros asociados a este ítem.
Mostrar el registro sencillo del ítem