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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
14/04/2015 |
Actualizado : |
04/06/2018 |
Tipo de producción científica : |
Actividades de Difusión |
Autor : |
INIA TREINTA Y TRES.; PROGRAMA NACIONAL PRODUCCIÓN DE CARNE Y LANA; PROGRAMA NACIONAL PASTURAS Y FORRAJES. |
Afiliación : |
PROGRAMA NACIONAL DE INVESTIGACIÓN PRODUCCIÓN DE CARNE Y LANA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PROGRAMA NACIONAL DE INVESTIGACIÓN PASTURAS Y FORRAJES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Seminario de actualización técnica. Producción de carne ovina de calidad. |
Complemento del título : |
Seminario de actualización técnica. producción de carne ovina de calida, 2013, INIA Treinta y Tres, Treinta y Tres, Uruguay. |
Fecha de publicación : |
2013 |
Fuente / Imprenta : |
Treinta y Tres (UY) : INIA, 2013. 142 p. |
Serie : |
(INIA, Serie Actividades de Difusión; 719) |
ISSN : |
1688-9258 |
Idioma : |
Español |
Palabras claves : |
CADENA CÁRNICA OVINA. |
Thesagro : |
OVINOS; PRODUCCION ANIMAL; TECNOLOGIA DE LOS ALIMENTOS. |
Asunto categoría : |
L01 Ganadería |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/4308/1/Ad-719.pdf
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Marc : |
LEADER 00657nam a2200193 a 4500 001 1052522 005 2018-06-04 008 2013 bl uuuu u00u1 u #d 022 $a1688-9258 100 1 $aINIA TREINTA Y TRES. 245 $aSeminario de actualización técnica. Producción de carne ovina de calidad. 260 $aTreinta y Tres (UY) : INIA, 2013. 142 p.$c2013 490 $a(INIA, Serie Actividades de Difusión; 719) 650 $aOVINOS 650 $aPRODUCCION ANIMAL 650 $aTECNOLOGIA DE LOS ALIMENTOS 653 $aCADENA CÁRNICA OVINA 700 1 $aPROGRAMA NACIONAL PRODUCCIÓN DE CARNE Y LANA 700 1 $aPROGRAMA NACIONAL PASTURAS Y FORRAJES.
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INIA Treinta y Tres (TT) |
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| Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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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