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Registro completo
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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 : |
22/11/2021 |
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Actualizado : |
22/11/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
SCHILD, C.; BOABAID, F.; MACHADO, M.; SARAVIA, A.; OLIVEIRA, L.G.S.; DIAZ, S.; VILDOZA, A. L.; MARTÍNEZ, A.; MARTÍNEZ, R.; BARROS, S.S.; RIET-CORREA, F. |
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Afiliación : |
CARLOS SCHILD, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FABIANA BOABAID, Polo de Desarrollo Universitario, Departamento de Patología, Facultad de Medicina Veterinaria, Universidad de la República, Tacuarembó, Uruguay; MIZAEL MACHADO DA COSTA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDERSON SARAVIA DE MELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUIZ GUSTAVO SCHNEIDER DE OLIVEIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.; SAULO SEBASTIAN DIAZ OLIVERA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANA LAURA VILDOZA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; AGUSTÍN MARTÍNEZ, Veterinario de Libre Ejercicio, Tacuarembó, Uruguay; RAFAEL MARTÍNEZ, Veterinario de Libre Ejercicio, Tacuarembó, Uruguay; SEVERO S. BARROS, Laboratorio de Patologia Veterinaria, Universidade Federal de Santa Maria, Santa Maria, Rio Grande do Sul, Brazil; FRANKLIN RIET-CORREA AMARAL, Programa de Posgraduação Em Ciencia Animal Nos Trópicos, Escola de Medicina Veterinária e Zootecnia, Universidade Federal da Bahia, Salvador, Brazil. |
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Título : |
Nierembergia rivularis poisoning in cattle. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Toxicon, December 2021, Volume 204, Pages 21- 30. doi: https://doi.org/10.1016/j.toxicon.2021.10.009 |
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ISSN : |
0041-0101 |
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DOI : |
10.1016/j.toxicon.2021.10.009 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 16 August 2021; Received in revised form 19 October 2021; Accepted 20 October 2021; Available online 26 October 2021.
Corresponding authors: Riet-Correa, F.; Programa de Posgraduação Em Ciencia Animal Nos Trópicos, Escola de Medicina Veterinária e Zootecnia, Universidade Federal da Bahia, Salvador, Brazil; email:franklinrietcorrea@gmail.com
Schild, C.O.; Instituto Nacional de Investigación Agropecuaria (INIA), Plataforma de Investigación en Salud Animal (PSA), Estación Experimental (EE) Tacuarembó, Ruta 5, km 386, Tacuarembó, Uruguay; email:cschild@inia.org.uy |
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Contenido : |
ABSTRACT. - Nierembergia rivularis causes enzootic calcinosis (EC) in sheep. In this work, we describe EC caused by N. rivularis in cattle. For 3 years cattle grazing in 7 paddocks were evaluated. Cows with clinical signs compatible with EC were detected in only one paddock with a morbidity of 9.4%, 24.5%, and 34.5% during the summer of 2019, 2020, and 2021, respectively. Affected cows weighed 55 kg less (p < 0.01) than cows without signs of the same paddock, and 19.6% of these cows had hypercalcemia and/or hyperphosphatemia. Typical soft tissue calcification was observed in 3 autopsied cows. Additionally to the arterial calcification, 2 cows had multiple mineralized foci in several veins. In the Paddock A where EC occurred, the pasture contained 7?12% N. rivularis. In the other 6 paddocks (Paddocks B-G) where EC had not occurred, the pasture had 0.2?3.5% N. rivularis. Cows grazing in Paddock A had ∼30% lower pregnancy rates than cows from Paddocks B-G. At the slaughterhouse, the carcasses of 45 cows from Paddock A weighed 17.6% (p < 0.01) less than 93 carcasses of cows from Paddocks B-G. Furthermore, the carcasses of cows from Paddock A were classified as low quality. Eight cows with EC signs from Paddock A and 10 cows without EC signs from Paddocks B-G were removed to a Lolium multiflorum pasture. After 120 days of grazing, the cows from Paddock A gained 45.2% less (p < 0.01) live weight than cows from Paddocks B-G. Poisoning with N. rivularis may cause significant economic losses in Uruguay due to low fertility rates and weight gain of affected cattle. © 2021 Elsevier Ltd MenosABSTRACT. - Nierembergia rivularis causes enzootic calcinosis (EC) in sheep. In this work, we describe EC caused by N. rivularis in cattle. For 3 years cattle grazing in 7 paddocks were evaluated. Cows with clinical signs compatible with EC were detected in only one paddock with a morbidity of 9.4%, 24.5%, and 34.5% during the summer of 2019, 2020, and 2021, respectively. Affected cows weighed 55 kg less (p < 0.01) than cows without signs of the same paddock, and 19.6% of these cows had hypercalcemia and/or hyperphosphatemia. Typical soft tissue calcification was observed in 3 autopsied cows. Additionally to the arterial calcification, 2 cows had multiple mineralized foci in several veins. In the Paddock A where EC occurred, the pasture contained 7?12% N. rivularis. In the other 6 paddocks (Paddocks B-G) where EC had not occurred, the pasture had 0.2?3.5% N. rivularis. Cows grazing in Paddock A had ∼30% lower pregnancy rates than cows from Paddocks B-G. At the slaughterhouse, the carcasses of 45 cows from Paddock A weighed 17.6% (p < 0.01) less than 93 carcasses of cows from Paddocks B-G. Furthermore, the carcasses of cows from Paddock A were classified as low quality. Eight cows with EC signs from Paddock A and 10 cows without EC signs from Paddocks B-G were removed to a Lolium multiflorum pasture. After 120 days of grazing, the cows from Paddock A gained 45.2% less (p < 0.01) live weight than cows from Paddocks B-G. Poisoning with N. rivularis may cause significant e... Presentar Todo |
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Palabras claves : |
Cattle; Enzootic calcinosis; Nierembergia rivularis. |
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Thesagro : |
URUGUAY. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 03107naa a2200325 a 4500
001 1062535
005 2021-11-22
008 2021 bl uuuu u00u1 u #d
022 $a0041-0101
024 7 $a10.1016/j.toxicon.2021.10.009$2DOI
100 1 $aSCHILD, C.
245 $aNierembergia rivularis poisoning in cattle.$h[electronic resource]
260 $c2021
500 $aArticle history: Received 16 August 2021; Received in revised form 19 October 2021; Accepted 20 October 2021; Available online 26 October 2021. Corresponding authors: Riet-Correa, F.; Programa de Posgraduação Em Ciencia Animal Nos Trópicos, Escola de Medicina Veterinária e Zootecnia, Universidade Federal da Bahia, Salvador, Brazil; email:franklinrietcorrea@gmail.com Schild, C.O.; Instituto Nacional de Investigación Agropecuaria (INIA), Plataforma de Investigación en Salud Animal (PSA), Estación Experimental (EE) Tacuarembó, Ruta 5, km 386, Tacuarembó, Uruguay; email:cschild@inia.org.uy
520 $aABSTRACT. - Nierembergia rivularis causes enzootic calcinosis (EC) in sheep. In this work, we describe EC caused by N. rivularis in cattle. For 3 years cattle grazing in 7 paddocks were evaluated. Cows with clinical signs compatible with EC were detected in only one paddock with a morbidity of 9.4%, 24.5%, and 34.5% during the summer of 2019, 2020, and 2021, respectively. Affected cows weighed 55 kg less (p < 0.01) than cows without signs of the same paddock, and 19.6% of these cows had hypercalcemia and/or hyperphosphatemia. Typical soft tissue calcification was observed in 3 autopsied cows. Additionally to the arterial calcification, 2 cows had multiple mineralized foci in several veins. In the Paddock A where EC occurred, the pasture contained 7?12% N. rivularis. In the other 6 paddocks (Paddocks B-G) where EC had not occurred, the pasture had 0.2?3.5% N. rivularis. Cows grazing in Paddock A had ∼30% lower pregnancy rates than cows from Paddocks B-G. At the slaughterhouse, the carcasses of 45 cows from Paddock A weighed 17.6% (p < 0.01) less than 93 carcasses of cows from Paddocks B-G. Furthermore, the carcasses of cows from Paddock A were classified as low quality. Eight cows with EC signs from Paddock A and 10 cows without EC signs from Paddocks B-G were removed to a Lolium multiflorum pasture. After 120 days of grazing, the cows from Paddock A gained 45.2% less (p < 0.01) live weight than cows from Paddocks B-G. Poisoning with N. rivularis may cause significant economic losses in Uruguay due to low fertility rates and weight gain of affected cattle. © 2021 Elsevier Ltd
650 $aURUGUAY
653 $aCattle
653 $aEnzootic calcinosis
653 $aNierembergia rivularis
700 1 $aBOABAID, F.
700 1 $aMACHADO, M.
700 1 $aSARAVIA, A.
700 1 $aOLIVEIRA, L.G.S.
700 1 $aDIAZ, S.
700 1 $aVILDOZA, A. L.
700 1 $aMARTÍNEZ, A.
700 1 $aMARTÍNEZ, R.
700 1 $aBARROS, S.S.
700 1 $aRIET-CORREA, F.
773 $tToxicon, December 2021, Volume 204, Pages 21- 30. doi: https://doi.org/10.1016/j.toxicon.2021.10.009
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