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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 La Estanzuela. |
Fecha actual : |
03/01/2019 |
Actualizado : |
07/06/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
LEWIS ,C.M.; PERSOONS, A.; BEBBER, D.P.; KIGATHI, R.N.; MAINTZ, J.; FINDLAY, K.; BUENO-SANCHO, V.; CORREDOR-MORENO, P.; HARRINGTON, S.A.; KANGARA, N.; BERLIN, A.; GARCIA, R.; GERMAN, S.; HANZALOVÁ, A.; HODSON, D.P.; HOVMØLLER, M.S.; HUERTA-ESPINO, J.; IMTIAZ, M.; MIRZA, J.I.; JUSTESEN, A.F.; NIKS, R.E.; OMRANI, A.; PATPOUR, M.; PRETORIUS ,Z.A.; ROOHPARVAR, R.; SELA, H.; SINGH, R.P.; STEFFENSON ,B.; VISSER, B.; FENWICK, P.M.; THOMAS, J.; WULFF, B.B.H.; SAUNDERS, D.G.O. |
Afiliación : |
John Innes Centre, Norwich Research Park, Norwich, NR4 7UH UK.; John Innes Centre, Norwich Research Park, Norwich, NR4 7UH UK.; University of Exeter, Exeter, EX4 4QD UK.; John Innes Centre, Norwich Research Park, Norwich, NR4 7UH UK.; John Innes Centre, Norwich Research Park, Norwich, NR4 7UH UK.; ohn Innes Centre, Norwich Research Park, Norwich, NR4 7UH UK.; John Innes Centre, Norwich Research Park, Norwich, NR4 7UH UK.; John Innes Centre, Norwich Research Park, Norwich, NR4 7UH UK.; John Innes Centre, Norwich Research Park, Norwich, NR4 7UH UK.; John Innes Centre, Norwich Research Park, Norwich, NR4 7UH UK.; Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, 750 07 Sweden; RICHARD ANSELMO GARCIA USUCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SILVIA ELISA GERMAN FAEDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Crop Research Institute, Ruzyn?, 161 06 Praha 6 Czech Republic.; International Maize and Wheat Improvement Center (CIMMYT), 5689 Addis Ababa, Ethiopia.; Aarhus University, Flakkebjerg, 4200 Denmark.; Campo Experimental Valle de México INIFAP, Texcoco, C. P. 56237 Mexico.; CIMMYT-Pakistan, Islamabad, 44000 Pakistan.; Crop Disease Research Program, National Agriculture Research Center, Islamabad, 44000 Pakistan.; Aarhus University, Flakkebjerg, 4200 Denmark.; Wageningen University, Wageningen, 6700 The Netherlands; Faculty of Agriculture, Department of Plant Breeding and Biotechnology, University of Tabriz, Tabriz, 5166616471 Iran.; Aarhus University, Flakkebjerg, 4200 Denmark.; University of the Free State, Bloemfontein, 9301 South Africa.; Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), 4119 Karaj, Iran.; Tel Aviv University, Tel Aviv, 69978 Israel.; CIMMYT, Apdo. Postal 6-641, D. F. México, 06600 Mexico.; University of Minnesota, St. Paul, 55455 MN USA.; University of the Free State, Bloemfontein, 9301 South Africa.; Limagrain UK Ltd, Woolpit, IP30 9UP UK.; National Institute of Agricultural Botany, Cambridge, CB3 0LE UK.; John Innes Centre, Norwich Research Park, Norwich, NR4 7UH UK.; John Innes Centre, Norwich Research Park, Norwich, NR4 7UH UK. |
Título : |
Potential for re-emergence of wheat stem rust in the United Kingdom. |
Fecha de publicación : |
2018 |
Fuente / Imprenta : |
Veterinary Pathology [Vet Pathol], 2018 Sep 24, p. 300985818798117.OPEN ACCESS. |
DOI : |
10.1038/s42003-018-0013-y |
Idioma : |
Inglés |
Notas : |
Article history: Date Created: 20181002 //Latest Revision: 20181003. |
Contenido : |
Wheat stem rust, a devastating disease of wheat and barley caused by the fungal pathogen
Puccinia graminis f. sp. tritici, was largely eradicated in Western Europe during the mid-to-late
twentieth century. However, isolated outbreaks have occurred in recent years. Here we
investigate whether a lack of resistance in modern European varieties, increased presence of its
alternate host barberry and changes in climatic conditions could be facilitating its resurgence.
We report the first wheat stem rust occurrence in the United Kingdom in nearly 60 years,
with only 20% of UK wheat varieties resistant to this strain. Climate changes over the past 25
years also suggest increasingly conducive conditions for infection. Furthermore, we document
the first occurrence in decades of P. graminis on barberry in the UK . Our data illustrate that
wheat stem rust does occur in the UK and, when climatic conditions are conducive, could
severely harm wheat and barley production. |
Thesagro : |
TRIGO. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12241/1/Commun-Biol.-2018.pdf
|
Marc : |
LEADER 02459naa a2200541 a 4500 001 1059410 005 2019-06-07 008 2018 bl uuuu u00u1 u #d 024 7 $a10.1038/s42003-018-0013-y$2DOI 100 1 $aLEWIS ,C.M. 245 $aPotential for re-emergence of wheat stem rust in the United Kingdom.$h[electronic resource] 260 $c2018 500 $aArticle history: Date Created: 20181002 //Latest Revision: 20181003. 520 $aWheat stem rust, a devastating disease of wheat and barley caused by the fungal pathogen Puccinia graminis f. sp. tritici, was largely eradicated in Western Europe during the mid-to-late twentieth century. However, isolated outbreaks have occurred in recent years. Here we investigate whether a lack of resistance in modern European varieties, increased presence of its alternate host barberry and changes in climatic conditions could be facilitating its resurgence. We report the first wheat stem rust occurrence in the United Kingdom in nearly 60 years, with only 20% of UK wheat varieties resistant to this strain. Climate changes over the past 25 years also suggest increasingly conducive conditions for infection. Furthermore, we document the first occurrence in decades of P. graminis on barberry in the UK . Our data illustrate that wheat stem rust does occur in the UK and, when climatic conditions are conducive, could severely harm wheat and barley production. 650 $aTRIGO 700 1 $aPERSOONS, A. 700 1 $aBEBBER, D.P. 700 1 $aKIGATHI, R.N. 700 1 $aMAINTZ, J. 700 1 $aFINDLAY, K. 700 1 $aBUENO-SANCHO, V. 700 1 $aCORREDOR-MORENO, P. 700 1 $aHARRINGTON, S.A. 700 1 $aKANGARA, N. 700 1 $aBERLIN, A. 700 1 $aGARCIA, R. 700 1 $aGERMAN, S. 700 1 $aHANZALOVÁ, A. 700 1 $aHODSON, D.P. 700 1 $aHOVMØLLER, M.S. 700 1 $aHUERTA-ESPINO, J. 700 1 $aIMTIAZ, M. 700 1 $aMIRZA, J.I. 700 1 $aJUSTESEN, A.F. 700 1 $aNIKS, R.E. 700 1 $aOMRANI, A. 700 1 $aPATPOUR, M. 700 1 $aPRETORIUS ,Z.A. 700 1 $aROOHPARVAR, R. 700 1 $aSELA, H. 700 1 $aSINGH, R.P. 700 1 $aSTEFFENSON ,B. 700 1 $aVISSER, B. 700 1 $aFENWICK, P.M. 700 1 $aTHOMAS, J. 700 1 $aWULFF, B.B.H. 700 1 $aSAUNDERS, D.G.O. 773 $tVeterinary Pathology [Vet Pathol], 2018 Sep 24, p. 300985818798117.OPEN ACCESS.
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