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Registro completo
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Biblioteca (s) : |
INIA Las Brujas; INIA Treinta y Tres. |
Fecha : |
12/11/2015 |
Actualizado : |
09/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
MARCAIDA, M.; ASSENG, S.; EWERT, F.; BASSU, S.; DURAND, J.L.; LI, T.; MARTRE, P.; ADAM, M.; AGGARWAL, P.K.; ANGULO, C.; BARON, C.; BASSO, B.; BERTUZZI, P.; BIERNATH, C.; BOOGAARD, H.; BOOTE, K.J.; BOUMAN, B.; BREGAGLIO, S.; BRISSON, N.; BUIS, S.; CAMMARANO, D.; CHALLINOR, A.J.; CONFALONIERI, R.; CONIJN, J.G.; CORBEELS, M.; DERYNG, D.; DE SANCTIS, G.; DOLTRA, J.; FUMOTO, T.; GAYDON, D.; GAYLER, S.; GOLDBERG, R.; GRANT, R.F.; GRASSINI, P.; HATFIELD, J.L.; HASEGAWA, T.; HENG, L.; HOEK, S.; HOOKER, J.; HUNT, L.A.; INGWERSEN, J.; IZAURRALDE, R.C.; JONGSCHAAP, R.E.E.; JONES, J.W.; KEMANIAN, R.A.; KERSEBAUM, K.C.; KIM, S.-H.; LIZASO, J.; MÜLLER, C.; NAKAGAWA, H.; NARESH KUMAR, S.; NENDEL, C.; O'LEARY, G.J.; OLESEN, J.E.; ORIOL, P.; OSBORNE, T.M.; PALOSUO, T.; PRAVIA, V.; PRIESACK, E.; RIPOCHE, D.; ROSENZWEIG, C.; RUANE, A.C.; RUGET, F.; SAU, F.; SEMENOV, M.A.; SHCHERBAK, I.; SINGH, B.; SINGH, U.; SOO, H.K.; STEDUTO, P.; STÖCKLE, C.; STRATONOVITCH, P.; STRECK, T.; SUPIT, I.; TANG, L.; TAO, F.; TEIXEIRA, E.I.; THORBURN, P.; TIMLIN, D.; TRAVASSO, M.; RÖTTER, R.P.; WAHA, K.; WALLACH, D.; WHITE, J.W.; WILKENS, P.; WILLIAMS, J.R.; WOLF, J.; YIN, X.; YOSHIDA, H.; ZHANG, Z.; ZHU, Y. |
Afiliación : |
MARIA VIRGINIA PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
A statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration. |
Fecha de publicación : |
2015 |
Fuente / Imprenta : |
Agricultural and Forest Meteorology, 2015, v.214-215, p. 483-493. |
ISSN : |
0168-1923 |
DOI : |
10.1016/j.agrformet.2015.09.013 |
Idioma : |
Inglés |
Notas : |
Article history: Received 6 March 2015 / Received in revised form 29 July 2015 / Accepted 20 September 2015 / Available online 1 October 2015. |
Contenido : |
ABSTRACT.
Ensembles of process-based crop models are increasingly used to simulate crop growth for scenariosof temperature and/or precipitation changes corresponding to different projections of atmospheric CO2concentrations. This approach generates large datasets with thousands of simulated crop yield data. Suchdatasets potentially provide new information but it is difficult to summarize them in a useful way due totheir structural complexities. An associated issue is that it is not straightforward to compare crops and tointerpolate the results to alternative climate scenarios not initially included in the simulation protocols.Here we demonstrate that statistical models based on random-coefficient regressions are able to emulateensembles of process-based crop models. An important advantage of the proposed statistical models isthat they can interpolate between temperature levels and between CO2concentration levels, and canthus be used to calculate temperature and [CO2] thresholds leading to yield loss or yield gain, without re-running the original complex crop models. Our approach is illustrated with three yield datasets simulatedby 19 maize models, 26 wheat models, and 13 rice models. Several statistical models are fitted to thesedatasets, and are then used to analyze the variability of the yield response to [CO2] and temperature.Based on our results, we show that, for wheat, a [CO2] increase is likely to outweigh the negative effectof a temperature increase of +2◦C in the considered sites. Compared to wheat, required levels of [CO2]increase are much higher for maize, and intermediate for rice. For all crops, uncertainties in simulatingclimate change impacts increase more with temperature than with elevated [CO2].
© 2015 Elsevier B.V. All rights reserved. MenosABSTRACT.
Ensembles of process-based crop models are increasingly used to simulate crop growth for scenariosof temperature and/or precipitation changes corresponding to different projections of atmospheric CO2concentrations. This approach generates large datasets with thousands of simulated crop yield data. Suchdatasets potentially provide new information but it is difficult to summarize them in a useful way due totheir structural complexities. An associated issue is that it is not straightforward to compare crops and tointerpolate the results to alternative climate scenarios not initially included in the simulation protocols.Here we demonstrate that statistical models based on random-coefficient regressions are able to emulateensembles of process-based crop models. An important advantage of the proposed statistical models isthat they can interpolate between temperature levels and between CO2concentration levels, and canthus be used to calculate temperature and [CO2] thresholds leading to yield loss or yield gain, without re-running the original complex crop models. Our approach is illustrated with three yield datasets simulatedby 19 maize models, 26 wheat models, and 13 rice models. Several statistical models are fitted to thesedatasets, and are then used to analyze the variability of the yield response to [CO2] and temperature.Based on our results, we show that, for wheat, a [CO2] increase is likely to outweigh the negative effectof a temperature increase of +2◦C in... Presentar Todo |
Palabras claves : |
Climate change; CROP MODEL; Emulator; MAIZE; Meta-model; MODELIZACIÓN DE LOS CULTIVOS; RICE; Statistical model; WHEAT; Yield. |
Thesagro : |
ARROZ; CAMBIO CLIMÁTICO; MAÍZ; MODELOS ESTADISTICOS; TRIGO. |
Asunto categoría : |
A50 Investigación agraria |
Marc : |
LEADER 05363naa a2201417 a 4500 001 1053856 005 2019-10-09 008 2015 bl uuuu u00u1 u #d 022 $a0168-1923 024 7 $a10.1016/j.agrformet.2015.09.013$2DOI 100 1 $aMARCAIDA, M. 245 $aA statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration. 260 $c2015 500 $aArticle history: Received 6 March 2015 / Received in revised form 29 July 2015 / Accepted 20 September 2015 / Available online 1 October 2015. 520 $aABSTRACT. Ensembles of process-based crop models are increasingly used to simulate crop growth for scenariosof temperature and/or precipitation changes corresponding to different projections of atmospheric CO2concentrations. This approach generates large datasets with thousands of simulated crop yield data. Suchdatasets potentially provide new information but it is difficult to summarize them in a useful way due totheir structural complexities. An associated issue is that it is not straightforward to compare crops and tointerpolate the results to alternative climate scenarios not initially included in the simulation protocols.Here we demonstrate that statistical models based on random-coefficient regressions are able to emulateensembles of process-based crop models. An important advantage of the proposed statistical models isthat they can interpolate between temperature levels and between CO2concentration levels, and canthus be used to calculate temperature and [CO2] thresholds leading to yield loss or yield gain, without re-running the original complex crop models. Our approach is illustrated with three yield datasets simulatedby 19 maize models, 26 wheat models, and 13 rice models. Several statistical models are fitted to thesedatasets, and are then used to analyze the variability of the yield response to [CO2] and temperature.Based on our results, we show that, for wheat, a [CO2] increase is likely to outweigh the negative effectof a temperature increase of +2◦C in the considered sites. Compared to wheat, required levels of [CO2]increase are much higher for maize, and intermediate for rice. For all crops, uncertainties in simulatingclimate change impacts increase more with temperature than with elevated [CO2]. © 2015 Elsevier B.V. All rights reserved. 650 $aARROZ 650 $aCAMBIO CLIMÁTICO 650 $aMAÍZ 650 $aMODELOS ESTADISTICOS 650 $aTRIGO 653 $aClimate change 653 $aCROP MODEL 653 $aEmulator 653 $aMAIZE 653 $aMeta-model 653 $aMODELIZACIÓN DE LOS CULTIVOS 653 $aRICE 653 $aStatistical model 653 $aWHEAT 653 $aYield 700 1 $aASSENG, S. 700 1 $aEWERT, F. 700 1 $aBASSU, S. 700 1 $aDURAND, J.L. 700 1 $aLI, T. 700 1 $aMARTRE, P. 700 1 $aADAM, M. 700 1 $aAGGARWAL, P.K. 700 1 $aANGULO, C. 700 1 $aBARON, C. 700 1 $aBASSO, B. 700 1 $aBERTUZZI, P. 700 1 $aBIERNATH, C. 700 1 $aBOOGAARD, H. 700 1 $aBOOTE, K.J. 700 1 $aBOUMAN, B. 700 1 $aBREGAGLIO, S. 700 1 $aBRISSON, N. 700 1 $aBUIS, S. 700 1 $aCAMMARANO, D. 700 1 $aCHALLINOR, A.J. 700 1 $aCONFALONIERI, R. 700 1 $aCONIJN, J.G. 700 1 $aCORBEELS, M. 700 1 $aDERYNG, D. 700 1 $aDE SANCTIS, G. 700 1 $aDOLTRA, J. 700 1 $aFUMOTO, T. 700 1 $aGAYDON, D. 700 1 $aGAYLER, S. 700 1 $aGOLDBERG, R. 700 1 $aGRANT, R.F. 700 1 $aGRASSINI, P. 700 1 $aHATFIELD, J.L. 700 1 $aHASEGAWA, T. 700 1 $aHENG, L. 700 1 $aHOEK, S. 700 1 $aHOOKER, J. 700 1 $aHUNT, L.A. 700 1 $aINGWERSEN, J. 700 1 $aIZAURRALDE, R.C. 700 1 $aJONGSCHAAP, R.E.E. 700 1 $aJONES, J.W. 700 1 $aKEMANIAN, R.A. 700 1 $aKERSEBAUM, K.C. 700 1 $aKIM, S.-H. 700 1 $aLIZASO, J. 700 1 $aMÜLLER, C. 700 1 $aNAKAGAWA, H. 700 1 $aNARESH KUMAR, S. 700 1 $aNENDEL, C. 700 1 $aO'LEARY, G.J. 700 1 $aOLESEN, J.E. 700 1 $aORIOL, P. 700 1 $aOSBORNE, T.M. 700 1 $aPALOSUO, T. 700 1 $aPRAVIA, V. 700 1 $aPRIESACK, E. 700 1 $aRIPOCHE, D. 700 1 $aROSENZWEIG, C. 700 1 $aRUANE, A.C. 700 1 $aRUGET, F. 700 1 $aSAU, F. 700 1 $aSEMENOV, M.A. 700 1 $aSHCHERBAK, I. 700 1 $aSINGH, B. 700 1 $aSINGH, U. 700 1 $aSOO, H.K. 700 1 $aSTEDUTO, P. 700 1 $aSTÖCKLE, C. 700 1 $aSTRATONOVITCH, P. 700 1 $aSTRECK, T. 700 1 $aSUPIT, I. 700 1 $aTANG, L. 700 1 $aTAO, F. 700 1 $aTEIXEIRA, E.I. 700 1 $aTHORBURN, P. 700 1 $aTIMLIN, D. 700 1 $aTRAVASSO, M. 700 1 $aRÖTTER, R.P. 700 1 $aWAHA, K. 700 1 $aWALLACH, D. 700 1 $aWHITE, J.W. 700 1 $aWILKENS, P. 700 1 $aWILLIAMS, J.R. 700 1 $aWOLF, J. 700 1 $aYIN, X. 700 1 $aYOSHIDA, H. 700 1 $aZHANG, Z. 700 1 $aZHU, Y. 773 $tAgricultural and Forest Meteorology, 2015$gv.214-215, p. 483-493.
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INIA Las Brujas (LB) |
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
22/05/2023 |
Actualizado : |
22/05/2023 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Nacionales |
Circulación / Nivel : |
Nacional - -- |
Autor : |
VIGLIECCA, M.; GONZÁLEZ, P.; MACHÍN, A.; VICENTE, E.; SILVERA, E. |
Afiliación : |
MICAELA VIGLIECCA, Universidad de la República, Facultad de Agronomía, Departamento de Protección Vegetal, Montevideo, Uruguay; PABLO GONZÁLEZ, Universidad de la República, Facultad de Agronomía, Departamento de Protección Vegetal, Montevideo, Uruguay; ALEX MACHÍN, Universidad de la República, Facultad de Agronomía Departamento de Protección Vegetal, Salto, Uruguay; CARLOS ESTEBAN VICENTE CASTRO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ELISA SILVERA, Universidad de la República, Facultad de Agronomía Departamento de Protección Vegetal, Salto, Uruguay. |
Título : |
First report of root and crown rot caused by Dactylonectria novozelandica on strawberry in Uruguay. [Primer reporte de Dactylonectria novozelandica causando necrosis de raíz y corona en frutilla en Uruguay]. [Primeiro relato de Dactylonectria novozelandica causando necrose de raiz e coroa em morangos no Uruguay]. |
Complemento del título : |
Plant protection |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
Agrociencia Uruguay, 2022, Vol.26, number 2, e962. https://doi.org/10.31285/AGRO.26.962 -- OPEN ACCESS. |
ISSN : |
2730-5066 |
DOI : |
10.31285/AGRO.26.962 |
Idioma : |
Inglés |
Notas : |
Article history: Received 26 Aug 2021; Accepted 1 Aug 2022; Published 12 Aug 2022. -- Correspondence: Elisa Silvera-Pérez, esilvera@fagro.edu.uy -- Editor:
Leonardo De La Fuente, Auburn University, Department of Entomology & Plant Pathology, Auburn (AL), United States. -- License: This work is licensed under a Creative Commons Attribution 4.0 International License. (https://creativecommons.org/licenses/by/4.0/ ) |
Contenido : |
ABSTRACT.- Since 2015, a high mortality rate of strawberry plants has been observed in the north of Uruguay related to crown and root diseases caused by a pathogens complex. In 2016, associated with the death of plants, Cylindrocarpon spp. was isolated with a frequency of 42.4 %, ranking third, preceded by Neopestalotiopsis sp. and Fusarium spp. Aiming to increase the knowledge of the pathogens that integrate the complex, three isolates of Cylindrocarpon spp. were characterized by molecular, morphological and pathogenicity analyses in strawberry plants. Dactylonectria novozelandica was identified as causal agent of crown and root necrosis of strawberry in Salto, Uruguay. .-.-.-.-.-.-.-.-.-.-..-RESUMEN.- Desde 2015, se observó una alta mortandad de plantas de frutilla en el norte de Uruguay relacionada con enfermedades de corona y raíz causadas por un complejo de patógenos. En 2016, asociado con la muerte de plantas, Cylindrocarpon spp. se aisló con una frecuencia de 42,4 %, ocupando el tercer lugar, precedido por Neopestalotiopsis sp. y Fusarium spp. Con el objetivo de incrementar el conocimiento de los patógenos que integran el complejo, se caracterizaron tres aislados de Cylindrocarpon spp. mediante análisis moleculares, morfológicos y de patogenicidad en plantas de frutilla. Se identificó Dactylonectria novozelandica como agente causal de necrosis de corona y raíz de frutilla en Salto, Uruguay. .-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.RESUMO.- A partir do ano 2015 um número significativo de mortes se observou em plantas de morango no norte do Uruguai devido a doenças da coroa e raiz causadas por um complexo de patógenos. Associado à morte, Cylindrocarpon spp foi isolado com uma frequência de 42,4% no 2016, ocupando o terceiro lugar de incidência depois de Neopestalotiopsis sp. e Fusarium spp. O objetivo do trabalho foi caracterizar três isolados de Cylindrocarpon spp por meio de análises moleculares, morfológicas e patogênicas em morangueiro. Dactylonectria novozelandica causou necorsis de cora e raiz em uma plantas de morango em Salto, Uruguai. Copyright (c) 2022 Agrociencia Uruguay MenosABSTRACT.- Since 2015, a high mortality rate of strawberry plants has been observed in the north of Uruguay related to crown and root diseases caused by a pathogens complex. In 2016, associated with the death of plants, Cylindrocarpon spp. was isolated with a frequency of 42.4 %, ranking third, preceded by Neopestalotiopsis sp. and Fusarium spp. Aiming to increase the knowledge of the pathogens that integrate the complex, three isolates of Cylindrocarpon spp. were characterized by molecular, morphological and pathogenicity analyses in strawberry plants. Dactylonectria novozelandica was identified as causal agent of crown and root necrosis of strawberry in Salto, Uruguay. .-.-.-.-.-.-.-.-.-.-..-RESUMEN.- Desde 2015, se observó una alta mortandad de plantas de frutilla en el norte de Uruguay relacionada con enfermedades de corona y raíz causadas por un complejo de patógenos. En 2016, asociado con la muerte de plantas, Cylindrocarpon spp. se aisló con una frecuencia de 42,4 %, ocupando el tercer lugar, precedido por Neopestalotiopsis sp. y Fusarium spp. Con el objetivo de incrementar el conocimiento de los patógenos que integran el complejo, se caracterizaron tres aislados de Cylindrocarpon spp. mediante análisis moleculares, morfológicos y de patogenicidad en plantas de frutilla. Se identificó Dactylonectria novozelandica como agente causal de necrosis de corona y raíz de frutilla en Salto, Uruguay. .-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.RESUMO.- A partir do ano 2015 um número signif... Presentar Todo |
Palabras claves : |
Cylindrocarpon spp; Histona; Histone; Pathogenicity test; Prueba de patogenicidad; Teste patogênico. |
Asunto categoría : |
H20 Enfermedades de las plantas |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/17164/1/2730-5066-962.pdf
|
Marc : |
LEADER 03605naa a2200277 a 4500 001 1064152 005 2023-05-22 008 2022 bl uuuu u00u1 u #d 022 $a2730-5066 024 7 $a10.31285/AGRO.26.962$2DOI 100 1 $aVIGLIECCA, M. 245 $aFirst report of root and crown rot caused by Dactylonectria novozelandica on strawberry in Uruguay. [Primer reporte de Dactylonectria novozelandica causando necrosis de raíz y corona en frutilla en Uruguay]. [Primeiro relato de Dactylonectria novozelandica causando necrose de raiz e coroa em morangos no Uruguay].$h[electronic resource] 260 $c2022 500 $aArticle history: Received 26 Aug 2021; Accepted 1 Aug 2022; Published 12 Aug 2022. -- Correspondence: Elisa Silvera-Pérez, esilvera@fagro.edu.uy -- Editor: Leonardo De La Fuente, Auburn University, Department of Entomology & Plant Pathology, Auburn (AL), United States. -- License: This work is licensed under a Creative Commons Attribution 4.0 International License. (https://creativecommons.org/licenses/by/4.0/ ) 520 $aABSTRACT.- Since 2015, a high mortality rate of strawberry plants has been observed in the north of Uruguay related to crown and root diseases caused by a pathogens complex. In 2016, associated with the death of plants, Cylindrocarpon spp. was isolated with a frequency of 42.4 %, ranking third, preceded by Neopestalotiopsis sp. and Fusarium spp. Aiming to increase the knowledge of the pathogens that integrate the complex, three isolates of Cylindrocarpon spp. were characterized by molecular, morphological and pathogenicity analyses in strawberry plants. Dactylonectria novozelandica was identified as causal agent of crown and root necrosis of strawberry in Salto, Uruguay. .-.-.-.-.-.-.-.-.-.-..-RESUMEN.- Desde 2015, se observó una alta mortandad de plantas de frutilla en el norte de Uruguay relacionada con enfermedades de corona y raíz causadas por un complejo de patógenos. En 2016, asociado con la muerte de plantas, Cylindrocarpon spp. se aisló con una frecuencia de 42,4 %, ocupando el tercer lugar, precedido por Neopestalotiopsis sp. y Fusarium spp. Con el objetivo de incrementar el conocimiento de los patógenos que integran el complejo, se caracterizaron tres aislados de Cylindrocarpon spp. mediante análisis moleculares, morfológicos y de patogenicidad en plantas de frutilla. Se identificó Dactylonectria novozelandica como agente causal de necrosis de corona y raíz de frutilla en Salto, Uruguay. .-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.RESUMO.- A partir do ano 2015 um número significativo de mortes se observou em plantas de morango no norte do Uruguai devido a doenças da coroa e raiz causadas por um complexo de patógenos. Associado à morte, Cylindrocarpon spp foi isolado com uma frequência de 42,4% no 2016, ocupando o terceiro lugar de incidência depois de Neopestalotiopsis sp. e Fusarium spp. O objetivo do trabalho foi caracterizar três isolados de Cylindrocarpon spp por meio de análises moleculares, morfológicas e patogênicas em morangueiro. Dactylonectria novozelandica causou necorsis de cora e raiz em uma plantas de morango em Salto, Uruguai. Copyright (c) 2022 Agrociencia Uruguay 653 $aCylindrocarpon spp 653 $aHistona 653 $aHistone 653 $aPathogenicity test 653 $aPrueba de patogenicidad 653 $aTeste patogênico 700 1 $aGONZÁLEZ, P. 700 1 $aMACHÍN, A. 700 1 $aVICENTE, E. 700 1 $aSILVERA, E. 773 $tAgrociencia Uruguay, 2022, Vol.26, number 2, e962. https://doi.org/10.31285/AGRO.26.962 -- OPEN ACCESS.
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