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 | Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
28/03/2016 |
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Actualizado : |
24/09/2018 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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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. |
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Afiliación : |
MARIA VIRGINIA PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Department of Plant Science, The Pennsylvania State University, USA. |
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Título : |
How do various maize crop models vary in their responses to climate change factors? |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
Global Change Biology, 2014, v.20(7), p. 2301-2320. |
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DOI : |
10.1111/gcb.12520 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 7 June 2013 and accepted 2 December 2013, published 2014. |
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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 |
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Palabras claves : |
AGMIP; CARBON DIOXIDE; CLIMATE; CO2; GRAIN YIELD; MAIZE; MODEL INTERCOMPARISON; MODELIZACIÓN DE CULTIVOS; SIMULATION MODELS; TEMPERATURE. |
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Thesagro : |
CLIMA; DIOXIDO DE CARBONO; INCERTIDUMBRE; MAÍZ; MODELOS DE SIMULACIÓN; TEMPERATURA. |
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Asunto categoría : |
U10 Métodos matemáticos y estadísticos |
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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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INIA Treinta y Tres (TT) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
26/02/2020 |
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Actualizado : |
26/02/2020 |
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Tipo de producción científica : |
Abstracts/Resúmenes |
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Autor : |
ANTELO, L.; AREOSA, P.; BENTANCOUR, S.; BERETTA, A.; BOLLAZI, I.; BRATSCHI, C.; CARDINALE, A.; CORREA, P.; DEVITTA, F.; GALVÁN, P.; GONZÁLEZ, J.; GONZÁLEZ, T.; GONZÁLEZ, M.; HUERGA, M.; MACIEL, L.; MESA, I.; MORALES, S.; MUGURUZA, A.; PEREIRA, V.; SALVARREY, J.; VALLEJO, A.; ZANOTTA, G. |
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Afiliación : |
LUCÍA ANTELO, Bachiller de Facultad de Agronomía (UdelaR); PABLO AREOSA, Departamento de Ciencias Sociales (FAgro. UdelaR); SILVIA BENTANCOUR, Bachiller de Facultad de Agronomía (UdelaR); ANDRES NICOLAS BERETTA BLANCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; IVANNA BOLLAZI, Ciclo Introducción a la Realidad Agropecuaria (FAgro. UdelaR); CECILIA BRATSCHI, Ciclo Introducción a la Realidad Agropecuaria (FAgro. UdelaR); ALFREDO CARDINALE, Bachiller de Facultad de Agronomía (UdelaR); PASTORA CORREA, Departamento de Ciencias Sociales (FAgro. UdelaR); FRANCO DEVITTA, Bachiller de Facultad de Agronomía (UdelaR); PABLO GALVÁN, Bachiller de Facultad de Agronomía (UdelaR); JULIO GONZÁLEZ, Departamento de Producción Vegetal (FAgro. UdelaR); TACUABÉ GONZÁLEZ, Ciclo Introducción a la Realidad Agropecuaria (FAgro. UdelaR); MATÍAS GONZÁLEZ, Bachiller de Facultad de Agronomía (UdelaR); MARÍA HUERGA, Departamento de Producción Forestal (FAgro. UdelaR); LUCÍA MACIEL, Bachiller de Facultad de Agronomía (UdelaR); INÉS MESA, Bachiller de Facultad de Agronomía (UdelaR); SEBASTIÁN MORALES, Bachiller de Facultad de Agronomía (UdelaR); ADRIÁN MUGURUZA, Ciclo Introducción a la Realidad Agropecuaria (FAgro. UdelaR); VICTORIA PEREIRA, Bachiller de Facultad de Agronomía (UdelaR); JULIA SALVARREY, Departamento de Producción Vegetal (FAgro. UdelaR); ADRIANA VALLEJO, Departamento de Producción Animal (FAgro. UdelaR); GABRIELA ZANOTTA, Departamento de Producción Animal (FAgro. UdelaR). |
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Título : |
Discusión de los resultados sobre calidad de aguas superficiales y profundaas con las comunidades rurales y técnicos locales, de diez zonas agroeconómicas del Uruguay. [Resumen]. |
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Fecha de publicación : |
2016 |
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Fuente / Imprenta : |
In: Libro de resúmenes de las TERCERAS JORNADAS INTERDISCIPLINARIAS EN BIODIVERSIDAD Y ECOLOGIA. "Desafíos socio-ambientales para el Uruguay del futuro" 28 de Noviembre a 2 de Diciembre 2016, Centro Universitario Regional del Este Rocha, Uruguay. p.109. |
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Idioma : |
Español |
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Contenido : |
La calidad de aguas se ve mayormente afectada en aquellas regiones de uso más intensivo de los recursos, en comparación a las regiones donde predominan sistemas extensivos. |
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Palabras claves : |
Calidad aguas superficiales y profundas; Contaminación de agua. |
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Thesagro : |
PRODUCTORES. |
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Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/14200/1/Beretta-A.-2016.-Resumen-III-JIBE.pdf
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Marc : |
LEADER 01575nam a2200397 a 4500
001 1060832
005 2020-02-26
008 2016 bl uuuu u01u1 u #d
100 1 $aANTELO, L.
245 $aDiscusión de los resultados sobre calidad de aguas superficiales y profundaas con las comunidades rurales y técnicos locales, de diez zonas agroeconómicas del Uruguay. [Resumen].$h[electronic resource]
260 $aIn: Libro de resúmenes de las TERCERAS JORNADAS INTERDISCIPLINARIAS EN BIODIVERSIDAD Y ECOLOGIA. "Desafíos socio-ambientales para el Uruguay del futuro" 28 de Noviembre a 2 de Diciembre 2016, Centro Universitario Regional del Este Rocha, Uruguay. p.109.$c2016
520 $aLa calidad de aguas se ve mayormente afectada en aquellas regiones de uso más intensivo de los recursos, en comparación a las regiones donde predominan sistemas extensivos.
650 $aPRODUCTORES
653 $aCalidad aguas superficiales y profundas
653 $aContaminación de agua
700 1 $aAREOSA, P.
700 1 $aBENTANCOUR, S.
700 1 $aBERETTA, A.
700 1 $aBOLLAZI, I.
700 1 $aBRATSCHI, C.
700 1 $aCARDINALE, A.
700 1 $aCORREA, P.
700 1 $aDEVITTA, F.
700 1 $aGALVÁN, P.
700 1 $aGONZÁLEZ, J.
700 1 $aGONZÁLEZ, T.
700 1 $aGONZÁLEZ, M.
700 1 $aHUERGA, M.
700 1 $aMACIEL, L.
700 1 $aMESA, I.
700 1 $aMORALES, S.
700 1 $aMUGURUZA, A.
700 1 $aPEREIRA, V.
700 1 $aSALVARREY, J.
700 1 $aVALLEJO, A.
700 1 $aZANOTTA, G.
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