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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
Fecha : |
21/02/2014 |
Actualizado : |
22/02/2014 |
Autor : |
Straschnoy, J.V.; Di Bella, C.M.; Jaimes, F.R.; Oricchio, P.A.; Rabella, C.M. |
Título : |
Caracterización espacial del estrés hídrico y de las heladas en la región pampeana a partir de información satelital y complementaria |
Fecha de publicación : |
2006 |
Fuente / Imprenta : |
RIA Revista de Investigaciones Agropecuarias, 2006, v. 35, no. 2, p. 117-141 |
Idioma : |
Español |
Thesagro : |
ARGENTINA; ESTRES DE SEQUIA; EVAPOTRANSPIRACION; HELADA; TELEDETECCION. |
Asunto categoría : |
-- |
Marc : |
LEADER 00692naa a2200217 a 4500 001 1028204 005 2014-02-22 008 2006 bl uuuu u00u1 u #d 100 1 $aSTRASCHNOY, J.V. 245 $aCaracterización espacial del estrés hídrico y de las heladas en la región pampeana a partir de información satelital y complementaria 260 $c2006 650 $aARGENTINA 650 $aESTRES DE SEQUIA 650 $aEVAPOTRANSPIRACION 650 $aHELADA 650 $aTELEDETECCION 700 1 $aDI BELLA, C.M. 700 1 $aJAIMES, F.R. 700 1 $aORICCHIO, P.A. 700 1 $aRABELLA, C.M. 773 $tRIA Revista de Investigaciones Agropecuarias, 2006$gv. 35, no. 2, p. 117-141
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INIA Tacuarembó (TBO) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha actual : |
07/08/2019 |
Actualizado : |
10/02/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
MOSCHINI, R.C.; RODRIGUEZ, M.; MARTÍNEZ, M.I.; STEWART, S. |
Afiliación : |
R. C. MOSCHINI, Instituto de Clima y Agua, CIRN INTA, Castelar, Nicolás Repetto y de los Reseros s/n, Buenos Aires, Argentina.; MARCELO JULIAN RODRIGUEZ ALONZO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; M. I. MARTÍNEZ, Instituto de Clima y Agua, CIRN INTA, Castelar, Nicolás Repetto y de los Reseros s/n, Buenos Aires, Argentina.; SILVINA MARIA STEWART SONEIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Weather-based predictive models for Diaporthe helianthi ascospore release in Uruguay. |
Fecha de publicación : |
2019 |
Fuente / Imprenta : |
Australasian Plant Pathology , 2019.[Online First]. |
ISSN : |
0815-319 |
DOI : |
10.1007/s13313-019-00655-x |
Idioma : |
Inglés |
Notas : |
Article history: Received: 13 March 2019/Accepted: 22 July 2019/Published online: 1 August 2019. |
Contenido : |
ABSTRACT.
Stem canker (SC), caused by Diaporthe helianthi, is the most serious sunflower disease in Uruguay. Yield losses have been estimated up to 75%. Chemical control is one of the strategies used to manage this disease, but fungicide application should be done before symptoms are visible. Ascospores are the primary source of inoculum, they are produced in perithecia which develop in infected stubble and are dispersed by wind to infect plants. As in other monocyclic diseases, quantifying primary inoculum is essential to predict an epidemic. In this study, ascospores were trapped on microscope slides with solid petroleum jelly which were placed on top of flat open cages filled with natural infected stubble. Cages were placed outdoors, slides where replaced twice a week and stained ascospores were counted under the microscope. Our objective was to develop weather-based models to predict ascospore release levels of D. helianthi from infected stubble. Explanatory weather variables were calculated during the seven-day periods prior to each field weekly ascospore count using daily weather station data from La Estanzuela, Uruguay. Then, logistic models were fit to estimate probabilities of having severe or moderate to light levels of ascospore counts. The best models included variables associated to the precipitation and dew-induced wetness frequency, combinated with the simultaneous occurrence of high relative humidity or low thermal amplitude records. Estimating the evolution of ascospore release through the weather-based models might help to guide preventive fungicide applications to control stem canker in Uruguay.
© 2019, Australasian Plant Pathology Society Inc. MenosABSTRACT.
Stem canker (SC), caused by Diaporthe helianthi, is the most serious sunflower disease in Uruguay. Yield losses have been estimated up to 75%. Chemical control is one of the strategies used to manage this disease, but fungicide application should be done before symptoms are visible. Ascospores are the primary source of inoculum, they are produced in perithecia which develop in infected stubble and are dispersed by wind to infect plants. As in other monocyclic diseases, quantifying primary inoculum is essential to predict an epidemic. In this study, ascospores were trapped on microscope slides with solid petroleum jelly which were placed on top of flat open cages filled with natural infected stubble. Cages were placed outdoors, slides where replaced twice a week and stained ascospores were counted under the microscope. Our objective was to develop weather-based models to predict ascospore release levels of D. helianthi from infected stubble. Explanatory weather variables were calculated during the seven-day periods prior to each field weekly ascospore count using daily weather station data from La Estanzuela, Uruguay. Then, logistic models were fit to estimate probabilities of having severe or moderate to light levels of ascospore counts. The best models included variables associated to the precipitation and dew-induced wetness frequency, combinated with the simultaneous occurrence of high relative humidity or low thermal amplitude records. Estimating the evolution ... Presentar Todo |
Palabras claves : |
CANCRO DEL TALLO; LOGISTIC MODELS; STEM CANKER; SUNFLOWER; WEATHER VARIABLE. |
Thesagro : |
GIRASOL; HELIANTHUS ANNUUS. |
Asunto categoría : |
H20 Enfermedades de las plantas |
Marc : |
LEADER 02563naa a2200277 a 4500 001 1059986 005 2020-02-10 008 2019 bl uuuu u00u1 u #d 022 $a0815-319 024 7 $a10.1007/s13313-019-00655-x$2DOI 100 1 $aMOSCHINI, R.C. 245 $aWeather-based predictive models for Diaporthe helianthi ascospore release in Uruguay.$h[electronic resource] 260 $c2019 500 $aArticle history: Received: 13 March 2019/Accepted: 22 July 2019/Published online: 1 August 2019. 520 $aABSTRACT. Stem canker (SC), caused by Diaporthe helianthi, is the most serious sunflower disease in Uruguay. Yield losses have been estimated up to 75%. Chemical control is one of the strategies used to manage this disease, but fungicide application should be done before symptoms are visible. Ascospores are the primary source of inoculum, they are produced in perithecia which develop in infected stubble and are dispersed by wind to infect plants. As in other monocyclic diseases, quantifying primary inoculum is essential to predict an epidemic. In this study, ascospores were trapped on microscope slides with solid petroleum jelly which were placed on top of flat open cages filled with natural infected stubble. Cages were placed outdoors, slides where replaced twice a week and stained ascospores were counted under the microscope. Our objective was to develop weather-based models to predict ascospore release levels of D. helianthi from infected stubble. Explanatory weather variables were calculated during the seven-day periods prior to each field weekly ascospore count using daily weather station data from La Estanzuela, Uruguay. Then, logistic models were fit to estimate probabilities of having severe or moderate to light levels of ascospore counts. The best models included variables associated to the precipitation and dew-induced wetness frequency, combinated with the simultaneous occurrence of high relative humidity or low thermal amplitude records. Estimating the evolution of ascospore release through the weather-based models might help to guide preventive fungicide applications to control stem canker in Uruguay. © 2019, Australasian Plant Pathology Society Inc. 650 $aGIRASOL 650 $aHELIANTHUS ANNUUS 653 $aCANCRO DEL TALLO 653 $aLOGISTIC MODELS 653 $aSTEM CANKER 653 $aSUNFLOWER 653 $aWEATHER VARIABLE 700 1 $aRODRIGUEZ, M. 700 1 $aMARTÍNEZ, M.I. 700 1 $aSTEWART, S. 773 $tAustralasian Plant Pathology , 2019.[Online First].
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