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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 Treinta y Tres. |
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Fecha actual : |
12/11/2015 |
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Actualizado : |
12/11/2015 |
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Tipo de producción científica : |
Actividades de Difusión |
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Autor : |
JORNADA ANUAL ARROZ-SOJA, 1985, CIAAB-INIA, TREINTA Y TRES, UY.; CHEBATAROFF, N.; DEAMBROSI, E.; BLANCO, P.H.; ÁVILA, S.; LAVECCHIA, A.; BLANCO, F.; ZORRILLA DE SAN MARTÍN, G.; ACEVEDO, A. |
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Afiliación : |
ENRIQUE GERMAN DEAMBROSI CHURRUT, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PEDRO HORACIO BLANCO BARRAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIFLOR STELLA ÁVILA SILVA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDRES PASCUAL LAVECCHIA GONZALEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FEDERICO GUILLERMO BLANCO BORDÓN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GONZALO ROBERTO ZORRILLA DE SAN MARTÍN PEREYRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANTONIO MARIA ACEVEDO VEGA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Arroz-soja: resultados experimentales 1984-85. |
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Fecha de publicación : |
1985 |
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Fuente / Imprenta : |
Treinta y Tres (Uruguay): CIAAB; EEE, 1985 |
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Páginas : |
119 p. |
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Idioma : |
Español |
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Notas : |
Centro de Investigaciones Agrícolas "Alberto Boerger" (CIAAB), Estación Experimental del Este (EEE).
Jornada anual de arroz y soja, setiembre 1985. |
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Contenido : |
ARROZ
Mejoramiento: Introducción. Épocas de siembra. Ensayos regionales varietales. Ensayos regionales preliminares. Respuesta de variedades de arroz a épocas de siembra y nitrógeno. Selección en poblaciones segregantes.
Manejo: Ensayos regionales de fertilización. Control de malezas.
Fitopatología: Camas de infección. Identificación de razas fisiológicas de Pyricularia oryzae. Enfermedades del tallo. Patologìa de la semilla de arroz.
SOJA
Mejoramiento. Ensayos varietales.
Fitopatología: Curasemillas.
RIEGO Y DRENAJE
Evaluación del consumo de agua. Evaluación de maíz con riego en suelos arroceros
SERVICIO DE SEMILLAS
Producción de semillas. Encuesta de semillas de arroz |
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Thesagro : |
ARROZ; CLIMA; CONTROL DE MALEZAS; ENFERMEDADES DE LAS PLANTAS; FERTILIZACION; FITOMEJORAMIENTO; MALEZAS; MANEJO DEL CULTIVO; SEMILLA; SOJA; VARIEDADES. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5166/1/Arroz-Soja1984-19852.pdf
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Marc : |
LEADER 01811nam a2200361 a 4500
001 1053850
005 2015-11-12
008 1985 bl uuuu u00u1 u #d
100 1 $aJORNADA ANUAL ARROZ-SOJA, 1985, CIAAB-INIA, TREINTA Y TRES, UY.
245 $aArroz-soja$bresultados experimentales 1984-85.$h[electronic resource]
260 $aTreinta y Tres (Uruguay): CIAAB; EEE$c1985
300 $a119 p.
500 $aCentro de Investigaciones Agrícolas "Alberto Boerger" (CIAAB), Estación Experimental del Este (EEE). Jornada anual de arroz y soja, setiembre 1985.
520 $aARROZ Mejoramiento: Introducción. Épocas de siembra. Ensayos regionales varietales. Ensayos regionales preliminares. Respuesta de variedades de arroz a épocas de siembra y nitrógeno. Selección en poblaciones segregantes. Manejo: Ensayos regionales de fertilización. Control de malezas. Fitopatología: Camas de infección. Identificación de razas fisiológicas de Pyricularia oryzae. Enfermedades del tallo. Patologìa de la semilla de arroz. SOJA Mejoramiento. Ensayos varietales. Fitopatología: Curasemillas. RIEGO Y DRENAJE Evaluación del consumo de agua. Evaluación de maíz con riego en suelos arroceros SERVICIO DE SEMILLAS Producción de semillas. Encuesta de semillas de arroz
650 $aARROZ
650 $aCLIMA
650 $aCONTROL DE MALEZAS
650 $aENFERMEDADES DE LAS PLANTAS
650 $aFERTILIZACION
650 $aFITOMEJORAMIENTO
650 $aMALEZAS
650 $aMANEJO DEL CULTIVO
650 $aSEMILLA
650 $aSOJA
650 $aVARIEDADES
700 1 $aCHEBATAROFF, N.
700 1 $aDEAMBROSI, E.
700 1 $aBLANCO, P.H.
700 1 $aÁVILA, S.
700 1 $aLAVECCHIA, A.
700 1 $aBLANCO, F.
700 1 $aZORRILLA DE SAN MARTÍN, G.
700 1 $aACEVEDO, A.
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