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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas; INIA Treinta y Tres. |
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Fecha : |
12/11/2015 |
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Actualizado : |
09/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
MARCAIDA, M.; ASSENG, S.; EWERT, F.; BASSU, S.; DURAND, J.L.; LI, T.; MARTRE, P.; ADAM, M.; AGGARWAL, P.K.; ANGULO, C.; BARON, C.; BASSO, B.; BERTUZZI, P.; BIERNATH, C.; BOOGAARD, H.; BOOTE, K.J.; BOUMAN, B.; BREGAGLIO, S.; BRISSON, N.; BUIS, S.; CAMMARANO, D.; CHALLINOR, A.J.; CONFALONIERI, R.; CONIJN, J.G.; CORBEELS, M.; DERYNG, D.; DE SANCTIS, G.; DOLTRA, J.; FUMOTO, T.; GAYDON, D.; GAYLER, S.; GOLDBERG, R.; GRANT, R.F.; GRASSINI, P.; HATFIELD, J.L.; HASEGAWA, T.; HENG, L.; HOEK, S.; HOOKER, J.; HUNT, L.A.; INGWERSEN, J.; IZAURRALDE, R.C.; JONGSCHAAP, R.E.E.; JONES, J.W.; KEMANIAN, R.A.; KERSEBAUM, K.C.; KIM, S.-H.; LIZASO, J.; MÜLLER, C.; NAKAGAWA, H.; NARESH KUMAR, S.; NENDEL, C.; O'LEARY, G.J.; OLESEN, J.E.; ORIOL, P.; OSBORNE, T.M.; PALOSUO, T.; PRAVIA, V.; PRIESACK, E.; RIPOCHE, D.; ROSENZWEIG, C.; RUANE, A.C.; RUGET, F.; SAU, F.; SEMENOV, M.A.; SHCHERBAK, I.; SINGH, B.; SINGH, U.; SOO, H.K.; STEDUTO, P.; STÖCKLE, C.; STRATONOVITCH, P.; STRECK, T.; SUPIT, I.; TANG, L.; TAO, F.; TEIXEIRA, E.I.; THORBURN, P.; TIMLIN, D.; TRAVASSO, M.; RÖTTER, R.P.; WAHA, K.; WALLACH, D.; WHITE, J.W.; WILKENS, P.; WILLIAMS, J.R.; WOLF, J.; YIN, X.; YOSHIDA, H.; ZHANG, Z.; ZHU, Y. |
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Afiliación : |
MARIA VIRGINIA PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
A statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration. |
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Fecha de publicación : |
2015 |
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Fuente / Imprenta : |
Agricultural and Forest Meteorology, 2015, v.214-215, p. 483-493. |
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ISSN : |
0168-1923 |
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DOI : |
10.1016/j.agrformet.2015.09.013 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 6 March 2015 / Received in revised form 29 July 2015 / Accepted 20 September 2015 / Available online 1 October 2015. |
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Contenido : |
ABSTRACT.
Ensembles of process-based crop models are increasingly used to simulate crop growth for scenariosof temperature and/or precipitation changes corresponding to different projections of atmospheric CO2concentrations. This approach generates large datasets with thousands of simulated crop yield data. Suchdatasets potentially provide new information but it is difficult to summarize them in a useful way due totheir structural complexities. An associated issue is that it is not straightforward to compare crops and tointerpolate the results to alternative climate scenarios not initially included in the simulation protocols.Here we demonstrate that statistical models based on random-coefficient regressions are able to emulateensembles of process-based crop models. An important advantage of the proposed statistical models isthat they can interpolate between temperature levels and between CO2concentration levels, and canthus be used to calculate temperature and [CO2] thresholds leading to yield loss or yield gain, without re-running the original complex crop models. Our approach is illustrated with three yield datasets simulatedby 19 maize models, 26 wheat models, and 13 rice models. Several statistical models are fitted to thesedatasets, and are then used to analyze the variability of the yield response to [CO2] and temperature.Based on our results, we show that, for wheat, a [CO2] increase is likely to outweigh the negative effectof a temperature increase of +2◦C in the considered sites. Compared to wheat, required levels of [CO2]increase are much higher for maize, and intermediate for rice. For all crops, uncertainties in simulatingclimate change impacts increase more with temperature than with elevated [CO2].
© 2015 Elsevier B.V. All rights reserved. MenosABSTRACT.
Ensembles of process-based crop models are increasingly used to simulate crop growth for scenariosof temperature and/or precipitation changes corresponding to different projections of atmospheric CO2concentrations. This approach generates large datasets with thousands of simulated crop yield data. Suchdatasets potentially provide new information but it is difficult to summarize them in a useful way due totheir structural complexities. An associated issue is that it is not straightforward to compare crops and tointerpolate the results to alternative climate scenarios not initially included in the simulation protocols.Here we demonstrate that statistical models based on random-coefficient regressions are able to emulateensembles of process-based crop models. An important advantage of the proposed statistical models isthat they can interpolate between temperature levels and between CO2concentration levels, and canthus be used to calculate temperature and [CO2] thresholds leading to yield loss or yield gain, without re-running the original complex crop models. Our approach is illustrated with three yield datasets simulatedby 19 maize models, 26 wheat models, and 13 rice models. Several statistical models are fitted to thesedatasets, and are then used to analyze the variability of the yield response to [CO2] and temperature.Based on our results, we show that, for wheat, a [CO2] increase is likely to outweigh the negative effectof a temperature increase of +2◦C in... Presentar Todo |
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Palabras claves : |
Climate change; CROP MODEL; Emulator; MAIZE; Meta-model; MODELIZACIÓN DE LOS CULTIVOS; RICE; Statistical model; WHEAT; Yield. |
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Thesagro : |
ARROZ; CAMBIO CLIMÁTICO; MAÍZ; MODELOS ESTADISTICOS; TRIGO. |
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Asunto categoría : |
A50 Investigación agraria |
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Marc : |
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022 $a0168-1923
024 7 $a10.1016/j.agrformet.2015.09.013$2DOI
100 1 $aMARCAIDA, M.
245 $aA statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration.
260 $c2015
500 $aArticle history: Received 6 March 2015 / Received in revised form 29 July 2015 / Accepted 20 September 2015 / Available online 1 October 2015.
520 $aABSTRACT. Ensembles of process-based crop models are increasingly used to simulate crop growth for scenariosof temperature and/or precipitation changes corresponding to different projections of atmospheric CO2concentrations. This approach generates large datasets with thousands of simulated crop yield data. Suchdatasets potentially provide new information but it is difficult to summarize them in a useful way due totheir structural complexities. An associated issue is that it is not straightforward to compare crops and tointerpolate the results to alternative climate scenarios not initially included in the simulation protocols.Here we demonstrate that statistical models based on random-coefficient regressions are able to emulateensembles of process-based crop models. An important advantage of the proposed statistical models isthat they can interpolate between temperature levels and between CO2concentration levels, and canthus be used to calculate temperature and [CO2] thresholds leading to yield loss or yield gain, without re-running the original complex crop models. Our approach is illustrated with three yield datasets simulatedby 19 maize models, 26 wheat models, and 13 rice models. Several statistical models are fitted to thesedatasets, and are then used to analyze the variability of the yield response to [CO2] and temperature.Based on our results, we show that, for wheat, a [CO2] increase is likely to outweigh the negative effectof a temperature increase of +2◦C in the considered sites. Compared to wheat, required levels of [CO2]increase are much higher for maize, and intermediate for rice. For all crops, uncertainties in simulatingclimate change impacts increase more with temperature than with elevated [CO2]. © 2015 Elsevier B.V. All rights reserved.
650 $aARROZ
650 $aCAMBIO CLIMÁTICO
650 $aMAÍZ
650 $aMODELOS ESTADISTICOS
650 $aTRIGO
653 $aClimate change
653 $aCROP MODEL
653 $aEmulator
653 $aMAIZE
653 $aMeta-model
653 $aMODELIZACIÓN DE LOS CULTIVOS
653 $aRICE
653 $aStatistical model
653 $aWHEAT
653 $aYield
700 1 $aASSENG, S.
700 1 $aEWERT, F.
700 1 $aBASSU, S.
700 1 $aDURAND, J.L.
700 1 $aLI, T.
700 1 $aMARTRE, P.
700 1 $aADAM, M.
700 1 $aAGGARWAL, P.K.
700 1 $aANGULO, C.
700 1 $aBARON, C.
700 1 $aBASSO, B.
700 1 $aBERTUZZI, P.
700 1 $aBIERNATH, C.
700 1 $aBOOGAARD, H.
700 1 $aBOOTE, K.J.
700 1 $aBOUMAN, B.
700 1 $aBREGAGLIO, S.
700 1 $aBRISSON, N.
700 1 $aBUIS, S.
700 1 $aCAMMARANO, D.
700 1 $aCHALLINOR, A.J.
700 1 $aCONFALONIERI, R.
700 1 $aCONIJN, J.G.
700 1 $aCORBEELS, M.
700 1 $aDERYNG, D.
700 1 $aDE SANCTIS, G.
700 1 $aDOLTRA, J.
700 1 $aFUMOTO, T.
700 1 $aGAYDON, D.
700 1 $aGAYLER, S.
700 1 $aGOLDBERG, R.
700 1 $aGRANT, R.F.
700 1 $aGRASSINI, P.
700 1 $aHATFIELD, J.L.
700 1 $aHASEGAWA, T.
700 1 $aHENG, L.
700 1 $aHOEK, S.
700 1 $aHOOKER, J.
700 1 $aHUNT, L.A.
700 1 $aINGWERSEN, J.
700 1 $aIZAURRALDE, R.C.
700 1 $aJONGSCHAAP, R.E.E.
700 1 $aJONES, J.W.
700 1 $aKEMANIAN, R.A.
700 1 $aKERSEBAUM, K.C.
700 1 $aKIM, S.-H.
700 1 $aLIZASO, J.
700 1 $aMÜLLER, C.
700 1 $aNAKAGAWA, H.
700 1 $aNARESH KUMAR, S.
700 1 $aNENDEL, C.
700 1 $aO'LEARY, G.J.
700 1 $aOLESEN, J.E.
700 1 $aORIOL, P.
700 1 $aOSBORNE, T.M.
700 1 $aPALOSUO, T.
700 1 $aPRAVIA, V.
700 1 $aPRIESACK, E.
700 1 $aRIPOCHE, D.
700 1 $aROSENZWEIG, C.
700 1 $aRUANE, A.C.
700 1 $aRUGET, F.
700 1 $aSAU, F.
700 1 $aSEMENOV, M.A.
700 1 $aSHCHERBAK, I.
700 1 $aSINGH, B.
700 1 $aSINGH, U.
700 1 $aSOO, H.K.
700 1 $aSTEDUTO, P.
700 1 $aSTÖCKLE, C.
700 1 $aSTRATONOVITCH, P.
700 1 $aSTRECK, T.
700 1 $aSUPIT, I.
700 1 $aTANG, L.
700 1 $aTAO, F.
700 1 $aTEIXEIRA, E.I.
700 1 $aTHORBURN, P.
700 1 $aTIMLIN, D.
700 1 $aTRAVASSO, M.
700 1 $aRÖTTER, R.P.
700 1 $aWAHA, K.
700 1 $aWALLACH, D.
700 1 $aWHITE, J.W.
700 1 $aWILKENS, P.
700 1 $aWILLIAMS, J.R.
700 1 $aWOLF, J.
700 1 $aYIN, X.
700 1 $aYOSHIDA, H.
700 1 $aZHANG, Z.
700 1 $aZHU, Y.
773 $tAgricultural and Forest Meteorology, 2015$gv.214-215, p. 483-493.
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INIA Las Brujas (LB) |
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| Registros recuperados : 84 | |
| 61. |  | GIANNITTI, F.; FRAGA, M.; CAFFARENA, D.; SCHILD, C.; BANCHERO, G.; ARMIÉN, A.G.; TRAVERÍA, G.; MARTHALER, D.; WELLS, S.J.; RIET-CORREA, F. Mycobacterium paratuberculosis sheep type strain in Uruguay: Evidence for a wider geographic distribution in South America. Journal of Infection in Developing Countries , v. 12, n. 3, p.190-195, 2018. Article history: Received 11 September 2017 // Accepted 15 March 2018.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA La Estanzuela. |
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| 62. | | CAFFARENA, D.; RABAZA, A.; CASAUX, L.; MACÍAS, M.; SCHILD, C.; MONESIGLIO, C.; FRAGA, M.; GIANNITTI, F.; RIET-CORREA, F. Natural lymphatic (atypical) actinobacillosis in cattle caused by Actinobacillus lignieresii. Journal of Veterinary Diagnostic Investigation, v.30, n.2,p.218-225, 2018. Article History: Article first published online: December 4, 2017; Issue published: March 1, 2018.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA La Estanzuela. |
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| 63. | | UMPIÉRREZ , A.; ERNST, E.; CARDOZO, A.; TORRES, A.; FERNÁNDEZ, M.; FRAGA, M.; VIGNOLI, R.; BADO, I.; VIDAL, R.; ZUNINO, P. Non-O157 Shiga toxin-producing Escherichia coli with potential harmful profiles to humans are isolated from the faeces of calves in Uruguay. Austral Journal of Veterinary Sciences, 2022, Vol. 54 Issue 2, p.45-53. doi: https://doi.org/10.4067/S0719-81322022000200045 SSN 0719-8132 (version on-line)
ISSN 0719-8000 (version print) Article history: Received 12 October 2021; Accepted 30 December 2021; Published 09 May 2022.
Corresponding author: Ana Umpiérrez; Avenida Italia 3318, CP 11600, Montevideo, Uruguay; aumpierrez@iibce.edu.uy| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 65. | | CASAUX, M.L.; D'ALESSANDRO, B.; VIGNOLI, R.; FRAGA, M. Phenotypic and genotypic survey of antibiotic resistance in Salmonella enterica isolates from dairy farms in Uruguay. Frontiers in Veterinary Science, 2023, Volume 10, article 1055432. OPEN ACCESS. doi: https://doi.org/10.3389/fvets.2023.1055432 Article history: Received 27 September 2022; Accepted 15 February 2023; Published 09 March 2023. -- Correspondence author: María Laura Casaux, lcasaux@inia.org.uy; Martín Fraga, mfraga@inia.org.uy -- Edited by: Julio Alvarez, VISAVET...| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 66. | | DORSCH, M.; CASAUX, M.L.; CALLEROS, L.; ARÁOZ, V.; CAFFARENA, D.; MONESIGLIO, M.C.; BARCELLOS, M; SILVEIRA, C.S.; PERDOMO, T.; BANCHERO, G.; UZAL, F.A.; FRAGA, M.; GIANNITTI, F. Placentitis and abortion caused by a multidrug resistant strain of Campylobacter fetus subspecies fetus in a sheep in Uruguay. Revista Argentina de Microbiología, 2022, volume 54, issue 1, pages 25-30. Open Acces. Doi:https://doi.org/10.1016/j.ram.2021.02.005 Article history: Received 22 July 2020/ Accepted 28 February 2021. Corresponding author:E-mail address: fgiannitti@inia.org.uy (F. Giannitti).
This work was financially supported by grants N-15156 PL 150 00 and PL 27 N-23398 of the...| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA La Estanzuela. |
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| 67. | | PICCINI, C.; FRAGA, M. Planeta bacteriano. In: TASSINO, B.; SILVA, A. (Ed.). Unidad en la diversidad: biología. Montevideo, UY: UdelaR. Facultad de Ciencias, DIRAC, 2010. p. 171-[183].| Tipo: Capítulo en Libro Técnico-Científico |
| Biblioteca(s): INIA La Estanzuela. |
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| 70. | | FERNÁNDEZ, S.; FRAGA, M.; SILVEYRA, E.; TROMBERT, A.N.; RABAZA, A.; PLA, M. Probiotic properties of native Lactobacillus spp. strains for dairy calves. Research article. Beneficial Microbes, April 2018, vol.9, no.4, p. 613 - 624. Artilce history: Received: 12 September 2017 / Accepted: 22 December 2017 / Published Online: April 10, 2018.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 72. | | FERNÁNDEZ, S.; FRAGA, M.; SILVERYRA, E.; RABAZA, A.; PLA, M.; ZUNINO, P. Probióticos nativos para terneros bajo sistema de cría intensiva y semi-intensiva: selección de cepas y ensayos de persitencia en el tracto gastrointestinal. In: Jornadas Uruguayas de Buiatría, 44., 2016, Paysandú, UY.; Gianneechini, E.; Elizondo, V. (Ed.).Paysandú: Centro Médico Veterinario de Paysandú/Sociedad Uruguaya de Buiatría, 2016. p.193-195.| Tipo: Trabajos en Congresos/Conferencias |
| Biblioteca(s): INIA La Estanzuela. |
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| 73. | | CASAUX, M.L.; COSTA, R.A. DA; MACÍAS-RIOSECO, M.; PERDOMO, T.; CAFFARENA, D.; SCHILD, C.; SILVEIRA, C.S.; ARÁOZ, V.; DONCEL, B.; FRAGA, M.; GIANNITTI, F. Salmonella enterica outbreaks in dairy calves in Uruguay . (AH-p24). [poster-Animal Health] Session Posters. In: World Buiatrics Congress (WBC), 31 st., Abstract Book, Madrid, Spain, September 4-8, 2022.| Biblioteca(s): INIA Las Brujas. |
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| 75. | | CASAUX, ML.; SCHILD, C.; CAFFARENA, D.; GIANNITTI, F.; RIET-CORREA, F.; FRAGA, M. Sensibilidad antimicrobiana de cepas de Salmonella spp. aisladas de terneros de tambos de Uruguay, 2016. In:Reunión Científico Técnica de la Asociación Argentina de Veterinarios de Laboratorios de Diagnóstico ,21º, San Salvador de Jujuy ,Argentina, 6-8 octubre, 2016.| Biblioteca(s): INIA La Estanzuela. |
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| 76. | | RABAZA, A.; GIANNITTI, F.; FRAGA, M.; MACÍAS-RIOSECO, M.; CORBELLINI, L.G.; RIET-CORREA, F.; HIRIGOYEN, D.; TURNER, K.M.E.; EISLER, ,M.C. Serological evidence of human infection with Coxiella burnetii after occupational exposure to aborting cattle. Veterinary Sciences, 2021, Volume 8, Issue 9, Article Number196. Doi: https://doi.org/10.3390/vetsci8090196 Article history: Received: 22 July 2021/Accepted: 10 September 2021/Published: 16 September 2021.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA La Estanzuela. |
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| 77. | | FERNÁNDEZ, M.; CASAUX, M.L.; FRAGA, M.; VIGNOLI, R.; BADO, I.; ZUNINO, P.; UMPIÉRREZ, A. Shiga toxin-producing Escherichia coli (STEC) associated with calf mortality in Uruguay. Microorganisms. 2023, Volume 11, Issue 7, p. 1704. https://doi.org/10.3390/microorganisms11071704 ---- OPEN ACCESS. Article history: Received 17 May 2023; Revised 5 June 2023; Accepted 8 June 2023; Published 29 June 2023. -- Academic Editors: Kim Stanford,
Flemming Scheutz, Chad R. Laing, Linda Chui, Nicole Van De Kar, Patricia Griffin, Tim A....| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 78. | | GIANNITTI, F.; CAFFARENA, D.; PESAVENTO, P.; UZAL, F.A.; MAYA, L.; FRAGA, M.; COLINA, R.; CASTELLS, M. The first case of bovine astrovirus-associated encephalitis in the southern hemisphere (Uruguay), uncovers evidence of viral introduction to the Americas from Europe. Frontiers in Microbiology, volumen 10, Article 1240, 04 June 2019. [OPEN ACCESS].Doi: https://doi.org/10.3389/fmicb.2019.01240 Article history: Received: 22 March 2019//Accepted: 17 May 2019//Published: 04 June 2019. This work was funded by Grants PL-015 N-15156 from INIA and 158 from the ?Programa de Iniciación a la Investigación 2017? from ?Comisión Sectorial...| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA La Estanzuela. |
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| 79. | | FRAGA, M.; FERNÁNDEZ, S.; PERELMUTER, K.; POMMIÉS, N.; CAJARVILLE, C.; ZUNINO, P. The use of Prevotella bryantii 3C5 for modulation of the ruminal environment in an ovine model. Veterinary Microbiology. Brazilian Journal of Microbiology, November 2018, volume 49, Supplement 1, Pages 101-106. OPEN ACCESS. Article history: Received 24 April 2018 // Accepted 17 July 2018 // Available online 25 August 2018.
Open Access funded by Sociedade Brasileira de Microbiologia. Under a Creative Commons license.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 80. | | COPPOLA, N.; FREIRE, B.; UMPIÉRREZ, A.; CORDEIRO, N.F.; AVILA. P.; TRENCHI, G.; CASTRO, G.; CASAUX, M.L.; FRAGA, M.; ZUNINO, P.; BADO, I.; VIGNOLI, R. Transferable Resistance to Highest Priority Critically Important Antibiotics for Human Health in Escherichia coli Strains Obtained From Livestock Feces in Uruguay. (Brief Research Report Article). Frontiers in Veterinary Science, 19 November 2020, Volume 7, Article number 588919. OPEN ACCESS. Doi: https://doi.org/10.3389/fvets.2020.588919 Article history: Received: 29 July 2020/ Accepted: 19 October 2020/Published: 19 November 2020. Correspondence: Rafael Vignoli, rvignoli@higiene.edu.uy; Inés Bado, ibado@higiene.edu.uy| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA La Estanzuela. |
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| Registros recuperados : 84 | |
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