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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
22/03/2023 |
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Actualizado : |
22/03/2023 |
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Tipo de producción científica : |
Abstracts/Resúmenes |
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Autor : |
ALECRIM, F.; SIMÓN, C.; MARIOTTA, J.; SANTANDER, D.; MULETA, E.; MARCHELLI, J.P.; LATTANZI, F.; ALVES, B.J.R.; NÓBREGA, G.N.; CIGANDA, V. |
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Afiliación : |
FABIANO BARBOSA ALECRIM, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Universidade Federal Fluminense (UFF-Brazil); CLAUDIA SIMÓN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JULIETA CAROLINA MARIOTTA MARIEYHARA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DANIEL SANTANDER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; EYERUS MULETA, Jimma University (JU-Ethiopia); J.P. MARCHELLI, Secretariado Uruguayo de la lana; FERNANDO A. LATTANZI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; B.J.R. ALVES, Empresa Brasileira de Pesquisa Agropecuária (Embrapa-Brazil); G.N. NÓBREGA, Universidade Federal Fluminense (UFF-Brazil); VERONICA SOLANGE CIGANDA BRASCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
AP 28. Can the inclusion of high tannin forage legumes in native grasslands modify the N2O emissions from cattle urine?. [abstract]. [Estudio de mitigación de emisiones de N2O de orina bovina en campo natural]. [resumen] |
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Complemento del título : |
Ambiente y Producción Animal. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
En: Congreso Argentino de Producción Animal Virtual, 45, 16 al 18 de noviembre 2022. p.357. |
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Serie : |
(Revista Argentina de Producción Animal ; 42 Suplemento 1). |
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Idioma : |
Inglés |
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Notas : |
Corresponding author: Ciganda, V.S. Instituto Nacional de Investigación Agropecuaria (INIA, Uruguay). E-mail: vciganda@inia.org.uy |
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Contenido : |
The objective of this work was to determine to what extent the inclusion of legumes with different tannin contents in native grasslands (NG) affect the N2O emissions
from beef cattle urine. The experiment was conducted at the Research and Experimentation Center Dr. A. Gallinal, Uruguay. |
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Palabras claves : |
Agriculture; Livestock; NATIVE GRASSLAND. |
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Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/17023/1/Alecrim-et.al-AP28-aapa-congreso-45-2022.pdf
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Marc : |
LEADER 01405nam a2200277 a 4500
001 1063994
005 2023-03-22
008 2022 bl uuuu u01u1 u #d
100 1 $aALECRIM, F.
245 $aAP 28. Can the inclusion of high tannin forage legumes in native grasslands modify the N2O emissions from cattle urine?. [abstract]. [Estudio de mitigación de emisiones de N2O de orina bovina en campo natural]. [resumen]$h[electronic resource]
260 $aEn: Congreso Argentino de Producción Animal Virtual, 45, 16 al 18 de noviembre 2022. p.357.$c2022
490 $a(Revista Argentina de Producción Animal ; 42 Suplemento 1).
500 $aCorresponding author: Ciganda, V.S. Instituto Nacional de Investigación Agropecuaria (INIA, Uruguay). E-mail: vciganda@inia.org.uy
520 $aThe objective of this work was to determine to what extent the inclusion of legumes with different tannin contents in native grasslands (NG) affect the N2O emissions from beef cattle urine. The experiment was conducted at the Research and Experimentation Center Dr. A. Gallinal, Uruguay.
653 $aAgriculture
653 $aLivestock
653 $aNATIVE GRASSLAND
700 1 $aSIMÓN, C.
700 1 $aMARIOTTA, J.
700 1 $aSANTANDER, D.
700 1 $aMULETA, E.
700 1 $aMARCHELLI, J.P.
700 1 $aLATTANZI, F.
700 1 $aALVES, B.J.R.
700 1 $aNÓBREGA, G.N.
700 1 $aCIGANDA, V.
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INIA Las Brujas (LB) |
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 | Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
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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Circulación / Nivel : |
A - 1 |
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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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