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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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Registro original : |
INIA Treinta y Tres (TT) |
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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
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Fecha actual : |
27/11/2017 |
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Actualizado : |
05/07/2019 |
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Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
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Autor : |
VIÑOLES, C.; CUADRO, P.; DE BARBIERI, I.; SANTA CRUZ, R. |
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Afiliación : |
CAROLINA VIÑOLES GIL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PABLO ANDRES CUADRO BRAS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUIS IGNACIO DE BARBIERI ETCHEBERRY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RODRIGO SANTA CRUZ, Pasante. |
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Título : |
Efecto del creep feeding con afrechillo de arroz y el destete temporario sobre el crecimiento de los terneros y la eficiencia reproductiva de vacas Hereford. |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
In:Viñoles, C.; Álvarez, J.P. Creep feeding: tecnología para aumentar el peso al destete. Montevideo (UY): INIA, 2017. |
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Páginas : |
p. 25-27 |
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Serie : |
(INIA Serie Técnica; 238) |
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ISBN : |
978-9974-38-389-0 |
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ISSN : |
1688-9266 |
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DOI : |
http://doi.org/10.35676/INIA/ST.238 |
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Idioma : |
Español |
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Contenido : |
Se utilizaron 87 vacas Hereford en un diseño factorial que evaluó la suplementación del ternero (CF) y el destete temporario (DT). El DT adelantó el momento de la concepción de las vacas (-CF-DT= 31±3 d; -CF+DT= 22±2 d; +CF-DT= 34±5 d; +CF+DT= 24±2; P<0,05). El
CF redujo la tasa de ganancia de peso de los terneros durante el período de DT (+CF+DT=0,109±0,05 kg/d vs ?CF+DT=0,309±0,05 kg/d; P<0,01). Los terneros +DT tuvieron menores ganancias de peso (0,586±0,02 kg/d) durante el experimento respecto a los -DT (0,834±0,04 kg/d; P<0,001). El CF no afectó el peso al destete de los terneros, pero el DT lo redujo (-CFDT=169±3 kg; -CF+DT= 155±2 kg; +CF-DT= 170±3 kg; +CF+DT= 152±2 kg; P<0,001). Concluimos que el CF con afrechillo de arroz ad libitum reduce la tasa de ganancia de peso durante el período de DT, y no permite aumentar los pesos al destete, mientras que el DT reduce las tasas de ganancia de peso y el peso al destete de los terneros, pero adelanta el momento de la concepción de las vacas. |
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Thesagro : |
CREEP FEEDING. |
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Asunto categoría : |
L02 Alimentación animal |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/8087/1/st-238-2017-p.25-27.pdf
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Marc : |
LEADER 01832naa a2200229 a 4500
001 1057829
005 2019-07-05
008 2017 bl uuuu u00u1 u #d
020 $a978-9974-38-389-0
022 $a1688-9266
024 7 $ahttp://doi.org/10.35676/INIA/ST.238$2DOI
100 1 $aVIÑOLES, C.
245 $aEfecto del creep feeding con afrechillo de arroz y el destete temporario sobre el crecimiento de los terneros y la eficiencia reproductiva de vacas Hereford.
260 $c2017
300 $ap. 25-27
490 $a(INIA Serie Técnica; 238)
520 $aSe utilizaron 87 vacas Hereford en un diseño factorial que evaluó la suplementación del ternero (CF) y el destete temporario (DT). El DT adelantó el momento de la concepción de las vacas (-CF-DT= 31±3 d; -CF+DT= 22±2 d; +CF-DT= 34±5 d; +CF+DT= 24±2; P<0,05). El CF redujo la tasa de ganancia de peso de los terneros durante el período de DT (+CF+DT=0,109±0,05 kg/d vs ?CF+DT=0,309±0,05 kg/d; P<0,01). Los terneros +DT tuvieron menores ganancias de peso (0,586±0,02 kg/d) durante el experimento respecto a los -DT (0,834±0,04 kg/d; P<0,001). El CF no afectó el peso al destete de los terneros, pero el DT lo redujo (-CFDT=169±3 kg; -CF+DT= 155±2 kg; +CF-DT= 170±3 kg; +CF+DT= 152±2 kg; P<0,001). Concluimos que el CF con afrechillo de arroz ad libitum reduce la tasa de ganancia de peso durante el período de DT, y no permite aumentar los pesos al destete, mientras que el DT reduce las tasas de ganancia de peso y el peso al destete de los terneros, pero adelanta el momento de la concepción de las vacas.
650 $aCREEP FEEDING
700 1 $aCUADRO, P.
700 1 $aDE BARBIERI, I.
700 1 $aSANTA CRUZ, R.
773 $tIn:Viñoles, C.; Álvarez, J.P. Creep feeding: tecnología para aumentar el peso al destete. Montevideo (UY): INIA, 2017.
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