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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
28/03/2016 |
Actualizado : |
24/09/2018 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
BASSU, S.; BRISSON, N.; DURAND, J.L.; BOOTE, K.; LIZASO, J.; JONES, J.W.; ROSENZWEIG, C.; RUANE, A.C.; ADAM, M.; BARON, C.; BASSO, B.; BIERNATH, C.; BOOGAARD, H.; CONIJN, S.; CORBEELS, M.L; DERYNG, D.; SANTIS, G. DE; GAYLER, S.; GRASSINI, P.; HATFIELD, J.; HOEK, S.; IZAURRALDE, C.; JONGSCHAAP, R.; KEMANIAN, A.R.; KERSEBAUM, C.KIM, S-H.; KUMAR, N.; MAKOWSKI, D.; MÜLLER, C.; NENDEL, C.; PRIESACK, E.; PRAVIA, V.; SAU, F.; SHCHERBAK, I.; TAO, F.; TEXEIRA, E.; TIMLIN, D.; WAHA, K. |
Afiliación : |
MARIA VIRGINIA PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Department of Plant Science, The Pennsylvania State University, USA. |
Título : |
How do various maize crop models vary in their responses to climate change factors? |
Fecha de publicación : |
2014 |
Fuente / Imprenta : |
Global Change Biology, 2014, v.20(7), p. 2301-2320. |
DOI : |
10.1111/gcb.12520 |
Idioma : |
Inglés |
Notas : |
Article history: Received 7 June 2013 and accepted 2 December 2013, published 2014. |
Contenido : |
Abstract:
Potential consequences of climate change on crop production can be studied using mechanistic crop simulation models. While a broad variety of maize simulation models exist, it is not known whether different models diverge on grain yield responses to changes in climatic factors, or whether they agree in their general trends related to phenology, growth, and yield. With the goal of analyzing the sensitivity of simulated yields to changes in temperature and atmospheric carbon dioxide concentrations [CO2], we present the largest maize crop model intercomparison to date, including 23 different models. These models were evaluated for four locations representing a wide range of maize production conditions in the world: Lusignan (France), Ames (USA), Rio Verde (Brazil) and Morogoro (Tanzania).
While individual models differed considerably in absolute yield simulation at the four sites, an ensemble of a minimum number of models was able to simulate absolute yields accurately at the four sites even with low data forcalibration, thus suggesting that using an ensemble of models has merit. Temperature increase had strong negative influence on modeled yield response of roughly 0.5 Mg ha1 per °C. Doubling [CO2] from 360 to 720 lmol mol1 increased grain yield by 7.5% on average across models and the sites. That would therefore make temperature the main factor altering maize yields at the end of this century. Furthermore, there was a large uncertainty in the yield response to [CO2] among models. Model responses to temperature and [CO2] did not differ whether models were simulated with low calibration information or, simulated with high level of calibration information. MenosAbstract:
Potential consequences of climate change on crop production can be studied using mechanistic crop simulation models. While a broad variety of maize simulation models exist, it is not known whether different models diverge on grain yield responses to changes in climatic factors, or whether they agree in their general trends related to phenology, growth, and yield. With the goal of analyzing the sensitivity of simulated yields to changes in temperature and atmospheric carbon dioxide concentrations [CO2], we present the largest maize crop model intercomparison to date, including 23 different models. These models were evaluated for four locations representing a wide range of maize production conditions in the world: Lusignan (France), Ames (USA), Rio Verde (Brazil) and Morogoro (Tanzania).
While individual models differed considerably in absolute yield simulation at the four sites, an ensemble of a minimum number of models was able to simulate absolute yields accurately at the four sites even with low data forcalibration, thus suggesting that using an ensemble of models has merit. Temperature increase had strong negative influence on modeled yield response of roughly 0.5 Mg ha1 per °C. Doubling [CO2] from 360 to 720 lmol mol1 increased grain yield by 7.5% on average across models and the sites. That would therefore make temperature the main factor altering maize yields at the end of this century. Furthermore, there was a large uncertainty in the yield response to [CO2]... Presentar Todo |
Palabras claves : |
AGMIP; CARBON DIOXIDE; CLIMATE; CO2; GRAIN YIELD; MAIZE; MODEL INTERCOMPARISON; MODELIZACIÓN DE CULTIVOS; SIMULATION MODELS; TEMPERATURE. |
Thesagro : |
CLIMA; DIOXIDO DE CARBONO; INCERTIDUMBRE; MAÍZ; MODELOS DE SIMULACIÓN; TEMPERATURA. |
Asunto categoría : |
U10 Métodos matemáticos y estadísticos |
Marc : |
LEADER 03684naa a2200769 a 4500 001 1054517 005 2018-09-24 008 2014 bl uuuu u00u1 u #d 024 7 $a10.1111/gcb.12520$2DOI 100 1 $aBASSU, S. 245 $aHow do various maize crop models vary in their responses to climate change factors?$h[electronic resource] 260 $c2014 500 $aArticle history: Received 7 June 2013 and accepted 2 December 2013, published 2014. 520 $aAbstract: Potential consequences of climate change on crop production can be studied using mechanistic crop simulation models. While a broad variety of maize simulation models exist, it is not known whether different models diverge on grain yield responses to changes in climatic factors, or whether they agree in their general trends related to phenology, growth, and yield. With the goal of analyzing the sensitivity of simulated yields to changes in temperature and atmospheric carbon dioxide concentrations [CO2], we present the largest maize crop model intercomparison to date, including 23 different models. These models were evaluated for four locations representing a wide range of maize production conditions in the world: Lusignan (France), Ames (USA), Rio Verde (Brazil) and Morogoro (Tanzania). While individual models differed considerably in absolute yield simulation at the four sites, an ensemble of a minimum number of models was able to simulate absolute yields accurately at the four sites even with low data forcalibration, thus suggesting that using an ensemble of models has merit. Temperature increase had strong negative influence on modeled yield response of roughly 0.5 Mg ha1 per °C. Doubling [CO2] from 360 to 720 lmol mol1 increased grain yield by 7.5% on average across models and the sites. That would therefore make temperature the main factor altering maize yields at the end of this century. Furthermore, there was a large uncertainty in the yield response to [CO2] among models. Model responses to temperature and [CO2] did not differ whether models were simulated with low calibration information or, simulated with high level of calibration information. 650 $aCLIMA 650 $aDIOXIDO DE CARBONO 650 $aINCERTIDUMBRE 650 $aMAÍZ 650 $aMODELOS DE SIMULACIÓN 650 $aTEMPERATURA 653 $aAGMIP 653 $aCARBON DIOXIDE 653 $aCLIMATE 653 $aCO2 653 $aGRAIN YIELD 653 $aMAIZE 653 $aMODEL INTERCOMPARISON 653 $aMODELIZACIÓN DE CULTIVOS 653 $aSIMULATION MODELS 653 $aTEMPERATURE 700 1 $aBRISSON, N. 700 1 $aDURAND, J.L. 700 1 $aBOOTE, K. 700 1 $aLIZASO, J. 700 1 $aJONES, J.W. 700 1 $aROSENZWEIG, C. 700 1 $aRUANE, A.C. 700 1 $aADAM, M. 700 1 $aBARON, C. 700 1 $aBASSO, B. 700 1 $aBIERNATH, C. 700 1 $aBOOGAARD, H. 700 1 $aCONIJN, S. 700 1 $aCORBEELS, M.L 700 1 $aDERYNG, D. 700 1 $aSANTIS, G. DE 700 1 $aGAYLER, S. 700 1 $aGRASSINI, P. 700 1 $aHATFIELD, J. 700 1 $aHOEK, S. 700 1 $aIZAURRALDE, C. 700 1 $aJONGSCHAAP, R. 700 1 $aKEMANIAN, A.R. 700 1 $aKERSEBAUM, C.KIM, S-H. 700 1 $aKUMAR, N. 700 1 $aMAKOWSKI, D. 700 1 $aMÜLLER, C. 700 1 $aNENDEL, C. 700 1 $aPRIESACK, E. 700 1 $aPRAVIA, V. 700 1 $aSAU, F. 700 1 $aSHCHERBAK, I. 700 1 $aTAO, F. 700 1 $aTEXEIRA, E. 700 1 $aTIMLIN, D. 700 1 $aWAHA, K. 773 $tGlobal Change Biology, 2014$gv.20(7), p. 2301-2320.
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4. | | ABREO, E.; ALTIER, N. (Comp.). Simposio Microorganismos para la agricultura. Resúmenes de presentaciones. Jornada técnica, 27 octubre 2017, INIA Las Brujas (Canelones, UY). Las Brujas, Canelones (UY): INIA, 2017. 57 p. (Serie Actividades de Difusión: 779) A través del sitio web de INIA puede acceder a los documentos, presentaciones y video de la actividad realizada el 20 de octubre de 2017 en INIA Las Brujas.
COMITÉ ORGANIZADOR: Eduardo Abreo, Nora Altier, Elena Beyhaut, Santiago Cayota,...Tipo: Actividades de Difusión |
Biblioteca(s): INIA Las Brujas. |
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5. | | ABREO, E.; ALTIER, N. (Comp.). Taller de Agentes Microbianos de Control Biológico, 4., Resúmenes de presentaciones. Montevideo, 31 Octubre, 2014. Montevideo (UY): INIA, 2014. 26 p. COMITÉ ORGANIZADOR: Eduardo Abreo (INIA Las Brujas), Nora Altier (INIA Las Brujas), Alicia Arias (IIBCE), Natalia Bajsa (IIBCE), Enrique Castiglioni (CURE, UDELAR), Lyliam Loperena (Facultad de Ingeniería, UDELAR), Sandra Lupo (Facultad...Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
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7. | | ABREO, E.; BEYHAUT, E.; RIVAS, F.; BARLOCCO, C.; GARAYCOCHEA, S.; LATTANZI, F.; REYNO, R. Microorganismos como bioinsumos para la agricultura: ecología, selección, formulación y uso. Revista INIA Uruguay, Setiembre 2021, no.66, p. 119-121. (Revista INIA; 66).Tipo: Artículos en Revistas Agropecuarias |
Biblioteca(s): INIA Treinta y Tres. |
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8. | | ABREO, E.; BEYHAUT, E.; RIVAS, F. (Ed.). Simposio Microorganismos para la Agricultura, 2. [Resúmenes y Posters]. Simposio, 2, 27-28 setiembre 2022, INIA Las Brujas (Canelones, UY). Canelones (UY): INIA, 2022. 62 p. (Serie Actividades de Difusión; 801). Los días 27 y 28 de setiembre, se llevó a cabo en INIA Las Brujas el 2° Simposio Microorganismos para la agricultura. Fue un ámbito para el encuentro y comunicación de los avances científicos y técnicos que se han generado en la academia,...Tipo: Actividades de Difusión |
Biblioteca(s): INIA Las Brujas. |
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9. | | ABREO, E.; GIROTTI, J.; MIJAILOVSKY, S.; JUÁREZ, P.; ALTIER, N.; ZERBINO, M.; PEDRINI, N. Determinación de los hidrocarburos de la epicutícula de insectos plaga como herramienta para la selección y producción masiva de agentes microbianos de control biológico. In: JORNADA NACIONAL DE FITOPATOLOGÍA, 3; JORNADA NACIONAL DE PROTECCIÓN VEGETAL, 1., 3 SETIEMBRE 2015, MONTEVIDEO, URUGUAY. Libro de Resúmenes. Montevideo (Uruguay) : SUFIT, 2015. p. 43Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Las Brujas. |
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15. | | ABREO, E.; ROSSINI, C.; VAZ-JAURI, P.; VILLALBA, J. Plant protection for a sustainable agriculture. (Editorial Note). International Journal of Pest Management, 2022, vol. 68, issue 4: "Uruguayan Society of Phytopathology (SUFIT): Plant protection for a sustainable agriculture", p.285. doi: https://doi.org/10.1080/09670874.2022.2089770 Article history: Received 28 May 2022, Accepted 08 Jun 2022, Published online: 21 Jun 2022.
Corresponding author: Eduardo Abreo - eabreo@inia.org.uy (Laboratorio de Bioproducción, Plataforma de Bioinsumos, Instituto Nacional de...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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16. | | ABREO, E.; SIMETO, S. Selección y producción de hongos entomopatógenos para el control de la chinche del eucalipto: resultados y desafíos. [Presentación Oral]. ln: Jornada de cierre del proyecto: La chinche del eucalipto, 9 de noviembre, INIA Tacuarembó, 2017 Otros participantes del proyecto: Sofía Simeto1, Paula González, Demian Gómez, Gonzalo Martínez, Belén Corallo, Lina Bettucci, Sandra Lupo, Eduardo Abreo, Natalia Mattos, Beatriz Dini, Lucía Sessa, Nora Altier,Tipo: Presentaciones Orales |
Biblioteca(s): INIA Tacuarembó. |
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20. | | ABREO, E.; VAZ, P.; NÚÑEZ, L.; STEWART, S.; ALTIER, N. Caracterización molecular y virulencia de aislamientos de Pythium spp. obtenidos en suelos de Uruguay. In: JORNADA NACIONAL DE FITOPATOLOGÍA, 3; JORNADA NACIONAL DE PROTECCIÓN VEGETAL, 1., 3 SETIEMBRE 2015, MONTEVIDEO, URUGUAY. Libro de Resúmenes. Montevideo (Uruguay) : SUFIT, 2015. p. 29Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Las Brujas. |
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Registros recuperados : 72 | |
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