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| Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
07/08/2019 |
Actualizado : |
10/02/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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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Registros recuperados : 22 | |
12. | | FRAGA, M.; PERELMUTER, K.; VALENCIA, M.J.; MARTÍNEZ, M.; ABIN-CARRIQUIRY, A.; CAJARVILLE, C.; ZUNINO, P. Evaluation of native potential probiotic bacteria using an in vitro ruminal fermentation system. Annals of Microbiology, September 2014, Volume 64, Issue 3, pp 1149-1156. Article history:Received: 11 July 2013 /Accepted: 29 October 2013.Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : B - 1 |
Biblioteca(s): INIA La Estanzuela. |
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13. | | LOZANO, J.; FERNÁNDEZ-CIGANDA, S.; GONZÁLEZ REVELLO, A.; HIRIGOYEN, D.; MARTÍNEZ, M.; SCORZA, C.; ZUNINO, P. Probiotic potential of GABA-producing lactobacilli isolated from Uruguayan artisanal cheese starter cultures. Journal of Microbiology, 2022, volume 133, issue 3, pages 1610-1619. doi: https://doi.org/10.1111/jam.15664 Article history: Received 18 March 2022; Revised 5 May 2022; Accepted 6 June 2022; Published online September 2022. -- Corresponding author: Zunino, P.; Department of Microbiology, Instituto de Investigaciones Biológicas Clemente Estable,...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA La Estanzuela. |
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14. | | RIZZO-MARTÍN, I.; HIRIGOYEN, A.; ARTHUS-BACOVICH, R.; VARO-MARTÍNEZ, M.A.; NAVARRO-CERRILLO, R. Site index estimation using airborne laser scanner data in Eucalyptus dunnii Maide stands in Uruguay. Forests, 2023, Volume 14, Issue 5, article 933. https://doi.org/10.3390/f14050933 -- OPEN ACCESS. Article history: Received 16 March 2023; Revised 23 April 2023; Accepted 27 April 2023; Published 1 May 2023. -- Correspondence: Rizzo-Martín, I.; Department of Forest Production and Wood Technology, Faculty of Agronomy, University of the...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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15. | | HIRIGOYEN, A.; VARO-MARTINEZ, M.A.; RACHID, C.; FRANCO, J.; NAVARRO-CERRILLO, R.M. Stand characterization of eucalyptus spp. Plantations in uruguay using airborne lidar scanner technology. Remote Sensing, 1 December 2020, Volume 12, Issue 23, Article number 3947, Pages 1-19. Open Access. Doi: https://doi.org/10.3390/rs12233947 Article history: Received: 16 October 2020 / Revised: 5 November 2020 / Accepted: 21 November 2020 / Published: 2 December 2020. Acknowledgments: The authors thank the Instituto Nacional de Investigaciones Agropecuarias (INIA-Uruguay) for...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Tacuarembó. |
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17. | | HIRIGOYEN, A.; ACOSTA-MUÑOZ, C.; SALAMANCA, A.J.A.; VARO-MARTINEZ, M.Á.; RACHID, C.; FRANCO, J.; NAVARRO-CERRILLO, R. A machine learning approach to model leaf area index in Eucalyptus plantations using high-resolution satellite imagery and airborne laser scanner data. Annals of Forest Research, 2021, Volume 64, Issue 2, Pages 165-183. OPEN ACCESS. doi: https://doi.org/10.15287/afr.2021.2073 Article history: Received October 27, 2020; Revised December 14, 2021; Accepted December 21, 2021.
Corresponding author: Hirigoyen, A.; National Institute of Agricultural Research (INIA), Tacuarembó, Uruguay; email:ahirigoyen@inia.org.uy...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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18. | | NERVI, E.; SCHINCA, C.; CARBAJALES, A.; DE GUIDA, M.; PIPPOLO, D.; DABEZIES, M.; DEMARÍA, K.; OLIVERA, A.; MARTÍNEZ, M.; BOCCARDI, L.; MIGUEZ, D.; VILLANUEVA, J. P.; PARDO, H.; LAMELA, S.; PECOITS, E.; CABEZAS, A.; MOIZO, P.; CAFARO, N.; CARRASCO-LETELIER, L. Hacia el uso sostenible del agua en la producción. Proyecto Custodia del Agua en la Cuenca del Santa Lucía. Revista INIA Uruguay, 2020, no. 60, p. 75-78. (Revista INIA; 60).Tipo: Artículos en Revistas Agropecuarias |
Biblioteca(s): INIA La Estanzuela; INIA Las Brujas. |
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19. | | CISNEROS, F.; CARRERAS, R.; GARCÍA, M.N.; VILLALBA, P.V.; AGUIRRE, N.C.; RIVAS, J.G.; MARTÍNEZ, M.C.; ACUÑA, C.V.; LUDUEÑA, A.; DÍAZ, M.; LÓPEZ, J.; LÓPEZ, J.A.; CAPPA, E.P.; PATHAUER, P.S.; PALAZZINI, D.; HARRAND, L.; OBERSCHELP, J.; MARCÓ, M.A.; MOGLIA, J.G.; ARÉVALO, C.; ELIZAUL, J.; HOPP, H.E.; RODRÍGUES, J.C.; BALMELLI, G.; MORAN, M.O.; GRATTAPAGLIA, D.; MARCUCCI POLTRI, S.N. Proyecto MINCYT-UE EuropeAid/136-457: Selección acelerada de Eucalyptus para bioenergía de los programas de mejoramiento forestal del MERCOSUR [Resumen Bahía Blanca]. In: Simposio Nacional de Biotecnología, 2., 11-13 de setiembre, Bahía Blanca, 2017.Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Tacuarembó. |
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20. | | CISNEROS, F.; CARRERAS, R.; GARCÍA, M.N.; VILLALBA, P.V.; AGUIRRE, N.C.; RIVAS, J.G.; MARTÍNEZ, M.C.; ACUÑA, C.V.; LUDUEÑA, A.; DÍAZ, M.; LÓPEZ, J.; LÓPEZ, J.A.; CAPPA, E.P.; PATHAUER, P.S.; PALAZZINI, D.; HARRAND, L.; OBERSCHELP, J.; MARCÓ, M.A.; MOGLIA, J.G.; ARÉVALO, C.; ELIZAUL, J.; HOPP, H.E.; RODRÍGUES, J.C.; BALMELLI, G.; MORAN, M.O.; GRATTAPAGLIA, D.; MARCUCCI POLTRI, S.N. Proyecto MINCYT-UE EuropeAid/136-457: Selección acelerada de Eucalyptus para bioenergía de los programas de mejoramiento forestal del MERCOSUR [Resumen Concordia]. In: Jornadas Forestales de Entre Ríos, 31., Concordia, 31, 5-6 octubre, 2017.Biblioteca(s): INIA Tacuarembó. |
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Registros recuperados : 22 | |
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