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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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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
20/01/2022 |
Actualizado : |
20/01/2022 |
Tipo de producción científica : |
Abstracts/Resúmenes |
Autor : |
GARCÍA-ROCHE, M.; TALMÓN, D.; CAÑIBE, G.; MENDOZA, A.; QUIJANO, C.; CASSINA, A.; CARRIQUIRY, M. |
Afiliación : |
M. GARCÍA-ROCHE, Facultad de Agronomía, Universidad la República, Uruguay; Centro de Investigaciones Biomédicas, Facultad de Medicina, Universidad de la República, Uruguay; D. TALMÓN, Facultad de Agronomía, Universidad de la República, Uruguay; G. CAÑIBE, Facultad de Agronomía, Universidad de la República, Uruguay; ALEJANDRO FRANCISCO MENDOZA AGUIAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; C. QUIJANO, Centro de Investigaciones Biomédicas, Facultad de Medicina, Universidad de la República, Uruguay; A. CASSINA, Centro de Investigaciones Biomédicas, Facultad de Medicina, Universidad de la República, Uruguay; M. CARRIQUIRY, Facultad de Agronomía, Universidad la República, Uruguay; Centro de Investigaciones Biomédicas, Facultad de Medicina, Universidad de la República, Uruguay. |
Título : |
Expresión génica hepática de la vía del receptor alfa activado por proliferador de peroxisomas A (PPARA) en dos genotipos Holstein. [abstract]. |
Fecha de publicación : |
2021 |
Fuente / Imprenta : |
In: AUPA, Proceedings del VII Congreso Uruguayo de Producción Animal. Sección Cambio Climático y Producción Sostenible (Climate Change Section), 14 y 15 diciembre 2021. Archivos Latinoamericanos de Producción Animal, 29(Supl.1), p.2. |
Serie : |
(Archivos Latinoamericanos de Producción Animal, Vol.29, Supl.1) |
ISSN : |
1022-1301; online 2075-8359 |
Idioma : |
Español |
Contenido : |
Se utilizaron vacas Holstein multíparas de Nueva Zelanda (NZH, n = 10) y norteamericanas (NAH, n = 20) (512 ± 19 vs. 563 ± 29 kg de peso vivo, 3,1 ± 0,1 condición corporal y parto en otoño) con el objetivo de evaluar la vía PPARA ?un regulador del metabolismo de los ácidos grasos. |
Palabras claves : |
Ácidos grasos; Holstein-Friesian; Metabolismo hepático. |
Asunto categoría : |
L50 Fisiología y bioquímica animal |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16194/1/2950-Article-Text-10068-5-10-20211213-02.pdf
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Marc : |
LEADER 01310nam a2200241 a 4500 001 1062651 005 2022-01-20 008 2021 bl uuuu u01u1 u #d 022 $a1022-1301; online 2075-8359 100 1 $aGARCÍA-ROCHE, M. 245 $aExpresión génica hepática de la vía del receptor alfa activado por proliferador de peroxisomas A (PPARA) en dos genotipos Holstein. [abstract].$h[electronic resource] 260 $aIn: AUPA, Proceedings del VII Congreso Uruguayo de Producción Animal. Sección Cambio Climático y Producción Sostenible (Climate Change Section), 14 y 15 diciembre 2021. Archivos Latinoamericanos de Producción Animal, 29(Supl.1), p.2.$c2021 490 $a(Archivos Latinoamericanos de Producción Animal, Vol.29, Supl.1) 520 $aSe utilizaron vacas Holstein multíparas de Nueva Zelanda (NZH, n = 10) y norteamericanas (NAH, n = 20) (512 ± 19 vs. 563 ± 29 kg de peso vivo, 3,1 ± 0,1 condición corporal y parto en otoño) con el objetivo de evaluar la vía PPARA ?un regulador del metabolismo de los ácidos grasos. 653 $aÁcidos grasos 653 $aHolstein-Friesian 653 $aMetabolismo hepático 700 1 $aTALMÓN, D. 700 1 $aCAÑIBE, G. 700 1 $aMENDOZA, A. 700 1 $aQUIJANO, C. 700 1 $aCASSINA, A. 700 1 $aCARRIQUIRY, M.
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