| |
|
|
|
Registro completo
|
|
Biblioteca (s) : |
INIA Las Brujas. |
|
Fecha : |
23/11/2016 |
|
Actualizado : |
10/02/2020 |
|
Autor : |
DEL PONTE, E. M.; MAIA, ALINE DE H. N.; DOS SANTOS, T. V.; MARTINS, E. J.; BAETHGEN, W. |
|
Afiliación : |
EMERSON M. DEL PONTE, Faculdade de Agronomia, Universidade Federal do Rio Grande do Sul, Brazil; ALINE DE H. N. MAIA, Embrapa Meio Ambiente, Brazil; THIAGO V. DOS SANTOS, Faculdade de Agronomia, Universidade Federal do Rio Grande do Sul, Brazil; EDUARDO J. MARTINS, Faculdade de Agronomia, Universidade Federal do Rio Grande do Sul, Brazil; WALTER BAETHGEN, International Research Institute for Climate and Society (IRI), Columbia University, USA. |
|
Título : |
Early-season warning of soybean rust regional epidemics using El Niño Southern/Oscillation information. |
|
Fecha de publicación : |
2011 |
|
Fuente / Imprenta : |
International Journal of Biometeorology, 2011, v. 55, no. 4, p. 575?583. |
|
DOI : |
10.1007/s00484-010-0365-6 |
|
Idioma : |
Inglés |
|
Notas : |
Received: 20 May 2010 // Revised: 2 September 2010 // Accepted: 2 September 2010 // Published online: 21 September 2010 |
|
Contenido : |
ABSTRACT.
Soybean rust (SBR) is a disease of significant impact to Brazilian soybean production. Twenty-four locations in a major growing region in southern Brazil, where long-term (30 years) weather information was available, were selected to estimate the risk of SBR epidemics and identify potential predictors derived from El Niño 3.4 region. A rainfall-based model was used to predict SBR severity in an ?epidemic development window? (the months of February and March for the studied region) in the time series. Twenty-eight daily simulations for each year-location (n = 720) were performed considering each day after 31 January as a hypothetical detection date (HDD) to estimate a severity index (SBRindex). The mean SBRindex in a single year was defined as the ?growing season severity index? (GSSI) for that year. A probabilistic risk assessment related GSSI and sea surface temperatures (SST) at the El Niño 3.4. region (here categorized as warm, cold or neutral phase) in October?November?December (OND) of the same growing season. Overall, the median GSSI across location-years was 34.5%. The risk of GSSI exceeding 60% was generally low and ranged from 0 to 20 percentage points, with the higher values found in the northern regions of the state when compared to the central-western. During a warm OND-SST phase, the probability of GSSI exceeding its overall mean (locations pooled) increased significantly by around 25 percentage points compared to neutral and cold SST phases, especially over the central western region. This study demonstrates the potential to use El Niño/Southern Oscillation information to anticipate the risk of SBR epidemics up to 1 month in advance at a regional scale.
@ ISB 2010 MenosABSTRACT.
Soybean rust (SBR) is a disease of significant impact to Brazilian soybean production. Twenty-four locations in a major growing region in southern Brazil, where long-term (30 years) weather information was available, were selected to estimate the risk of SBR epidemics and identify potential predictors derived from El Niño 3.4 region. A rainfall-based model was used to predict SBR severity in an ?epidemic development window? (the months of February and March for the studied region) in the time series. Twenty-eight daily simulations for each year-location (n = 720) were performed considering each day after 31 January as a hypothetical detection date (HDD) to estimate a severity index (SBRindex). The mean SBRindex in a single year was defined as the ?growing season severity index? (GSSI) for that year. A probabilistic risk assessment related GSSI and sea surface temperatures (SST) at the El Niño 3.4. region (here categorized as warm, cold or neutral phase) in October?November?December (OND) of the same growing season. Overall, the median GSSI across location-years was 34.5%. The risk of GSSI exceeding 60% was generally low and ranged from 0 to 20 percentage points, with the higher values found in the northern regions of the state when compared to the central-western. During a warm OND-SST phase, the probability of GSSI exceeding its overall mean (locations pooled) increased significantly by around 25 percentage points compared to neutral and cold SST phases, especial... Presentar Todo |
|
Palabras claves : |
AGRICULTURAL RISK; EL NIÑO; PLANT DISEASE; PROBABILISTIC RISK ASSESSMENT. |
|
Asunto categoría : |
-- |
|
Marc : |
LEADER 02596naa a2200241 a 4500
001 1056122
005 2020-02-10
008 2011 bl uuuu u00u1 u #d
024 7 $a10.1007/s00484-010-0365-6$2DOI
100 1 $aDEL PONTE, E. M.
245 $aEarly-season warning of soybean rust regional epidemics using El Niño Southern/Oscillation information.$h[electronic resource]
260 $c2011
500 $aReceived: 20 May 2010 // Revised: 2 September 2010 // Accepted: 2 September 2010 // Published online: 21 September 2010
520 $aABSTRACT. Soybean rust (SBR) is a disease of significant impact to Brazilian soybean production. Twenty-four locations in a major growing region in southern Brazil, where long-term (30 years) weather information was available, were selected to estimate the risk of SBR epidemics and identify potential predictors derived from El Niño 3.4 region. A rainfall-based model was used to predict SBR severity in an ?epidemic development window? (the months of February and March for the studied region) in the time series. Twenty-eight daily simulations for each year-location (n = 720) were performed considering each day after 31 January as a hypothetical detection date (HDD) to estimate a severity index (SBRindex). The mean SBRindex in a single year was defined as the ?growing season severity index? (GSSI) for that year. A probabilistic risk assessment related GSSI and sea surface temperatures (SST) at the El Niño 3.4. region (here categorized as warm, cold or neutral phase) in October?November?December (OND) of the same growing season. Overall, the median GSSI across location-years was 34.5%. The risk of GSSI exceeding 60% was generally low and ranged from 0 to 20 percentage points, with the higher values found in the northern regions of the state when compared to the central-western. During a warm OND-SST phase, the probability of GSSI exceeding its overall mean (locations pooled) increased significantly by around 25 percentage points compared to neutral and cold SST phases, especially over the central western region. This study demonstrates the potential to use El Niño/Southern Oscillation information to anticipate the risk of SBR epidemics up to 1 month in advance at a regional scale. @ ISB 2010
653 $aAGRICULTURAL RISK
653 $aEL NIÑO
653 $aPLANT DISEASE
653 $aPROBABILISTIC RISK ASSESSMENT
700 1 $aMAIA, ALINE DE H. N.
700 1 $aDOS SANTOS, T. V.
700 1 $aMARTINS, E. J.
700 1 $aBAETHGEN, W.
773 $tInternational Journal of Biometeorology, 2011$gv. 55, no. 4, p. 575?583.
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA Las Brujas (LB) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
|
|
Registro completo
|
|
Biblioteca (s) : |
INIA Tacuarembó. |
|
Fecha actual : |
04/04/2016 |
|
Actualizado : |
10/10/2018 |
|
Tipo de producción científica : |
Poster |
|
Autor : |
GLISON, N.; GONZÁLEZ BARRIOS, P.; CORREA, E.; VIEGA, L.; SALDANHA, S.; REYNO, R.; MUSACCHIO, E.; RUSH, P.; SCHRAUF, G.; SPERANZA, P. |
|
Afiliación : |
UNIVERSIDAD DE LA REPÚBLICA (UDELAR)/ FACULTAD DE AGRONOMÍA; UNIVERSIDAD DE LA REPÚBLICA (UDELAR)/ FACULTAD DE AGRONOMÍA; UNIVERSIDAD DE LA REPÚBLICA (UDELAR)/ FACULTAD DE AGRONOMÍA; UNIVERSIDAD DE LA REPÚBLICA (UDELAR)/ FACULTAD DE AGRONOMÍA; RAFAEL ALEJANDRO REYNO PODESTA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FACULTAD DE AGRONOMÍA, UNIVERSIDAD DE BUENOS AIRES.; FACULTAD DE AGRONOMÍA, UNIVERSIDAD DE BUENOS AIRES.; FACULTAD DE AGRONOMÍA, UNIVERSIDAD DE BUENOS AIRES.; UNIVERSIDAD DE LA REPÚBLICA (UDELAR)/ FACULTAD DE AGRONOMÍA. |
|
Título : |
Responses of seedling emergence of three Paspalum species to environmental factors. [Poster]. |
|
Fecha de publicación : |
2015 |
|
Fuente / Imprenta : |
In: International Symposium of Forage Breeding (5., Buenos Aires, AR), 19-21 Octubre, 2015. |
|
Idioma : |
Inglés |
|
Contenido : |
In the warm-temperate regions of Uruguay and Argentina, the adoption of warm-season perennial grasses has been very limited. Slow and unpredictable establishment has been perceived as one of the most limiting factors for their use either as pure stands or in mixtures with cool season grasses. Among the best studied species are P. dilatatum and related species and P. notatum. In this study we analyzed a network of locations and sowing dates to understand the responses of single clone or inbred line of P. dilatatum cv. Chirú (Chirú), P. dilatatum ssp. flavescens (Flav), P. urvillei (Urv) and P. notatum (Not) to environmental factors and determine appropriate sowing dates. |
|
Thesagro : |
ARGENTINA; PASPALUM; PASTURAS; URUGUAY. |
|
Asunto categoría : |
-- |
|
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5610/1/POSTER-ISFB-2015-Glison-et-al.pdf
|
|
Marc : |
LEADER 01445nam a2200265 a 4500
001 1054585
005 2018-10-10
008 2015 bl uuuu u00u1 u #d
100 1 $aGLISON, N.
245 $aResponses of seedling emergence of three Paspalum species to environmental factors. [Poster].$h[electronic resource]
260 $aIn: International Symposium of Forage Breeding (5., Buenos Aires, AR), 19-21 Octubre$c2015
520 $aIn the warm-temperate regions of Uruguay and Argentina, the adoption of warm-season perennial grasses has been very limited. Slow and unpredictable establishment has been perceived as one of the most limiting factors for their use either as pure stands or in mixtures with cool season grasses. Among the best studied species are P. dilatatum and related species and P. notatum. In this study we analyzed a network of locations and sowing dates to understand the responses of single clone or inbred line of P. dilatatum cv. Chirú (Chirú), P. dilatatum ssp. flavescens (Flav), P. urvillei (Urv) and P. notatum (Not) to environmental factors and determine appropriate sowing dates.
650 $aARGENTINA
650 $aPASPALUM
650 $aPASTURAS
650 $aURUGUAY
700 1 $aGONZÁLEZ BARRIOS, P.
700 1 $aCORREA, E.
700 1 $aVIEGA, L.
700 1 $aSALDANHA, S.
700 1 $aREYNO, R.
700 1 $aMUSACCHIO, E.
700 1 $aRUSH, P.
700 1 $aSCHRAUF, G.
700 1 $aSPERANZA, P.
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA Tacuarembó (TBO) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
| Expresión de búsqueda válido. Check! |
|
|
