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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Tacuarembó. |
Fecha : |
21/02/2014 |
Actualizado : |
22/02/2014 |
Autor : |
Soca, P. ; Berretta, V. ; Gutierrez, J.P. ; Franco, J. ; Trujillo, A.I. ; Orcasberro, R. |
Título : |
Performance de un rodeo de cría en pastoreo de campo natural sometido a destete temprano |
Fecha de publicación : |
1990 |
Fuente / Imprenta : |
ln: Seminario Nacional de Campo Natural, 2 : 1990 nov 15-16 : Tacuarembó Montevideo (Uruguay): Hemisferio Sur, 1990. |
Páginas : |
p351-354 |
Idioma : |
Español |
Notas : |
Participaron del Seminario : INIA, Sociedad Uruguaya de Pasturas Naturales, Facultad de Agronomía, Plan Agropecuario |
Thesagro : |
DESTETE; GANANCIA DE PESO; PASTIZAL NATURAL; PESO CORPORAL; TERNERO. |
Asunto categoría : |
-- |
Marc : |
LEADER 00861naa a2200253 a 4500 001 1044771 005 2014-02-22 008 1990 bl uuuu u00u1 u #d 100 1 $aSOCA, P. 245 $aPerformance de un rodeo de cría en pastoreo de campo natural sometido a destete temprano 260 $c1990 300 $ap351-354 500 $aParticiparon del Seminario : INIA, Sociedad Uruguaya de Pasturas Naturales, Facultad de Agronomía, Plan Agropecuario 650 $aDESTETE 650 $aGANANCIA DE PESO 650 $aPASTIZAL NATURAL 650 $aPESO CORPORAL 650 $aTERNERO 700 1 $aBERRETTA, V. 700 1 $aGUTIERREZ, J.P. 700 1 $aFRANCO, J. 700 1 $aTRUJILLO, A.I. 700 1 $aORCASBERRO, R. 773 $tln: Seminario Nacional de Campo Natural, 2 : 1990 nov 15-16 : Tacuarembó Montevideo (Uruguay): Hemisferio Sur, 1990.
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INIA La Estanzuela (LE) |
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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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