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| 21. |  | CLARAMUNT, M.; CARBALLO, C.; MOTTA, G.; SOCA, P.; CHILIBROSTE, P.; BENTANCUR, O.; MATTIAUDA, D.A. Comportamiento ingestivo en pastoreo de vacas primíparas y multíparas Holando con distinto estado corporal al parto. ln: 1er. Congreso Latinoamericano de Etología Aplicada; Reunión Regional de la International Society for Applied Ethology América Latina, Montevideo, UY, 6-7 jun 2008 "Programa ; libro de resúmenes". Montevideo: IIBCE/INIA/ANII, 2008. p. 38 Donación G. Banchero, 20080610| Biblioteca(s): INIA La Estanzuela. |
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| 24. | | BIANCHI, G.; GARIBOTTO, G.; SOCA, P.; BENTANCUR, O.; LAWLOR, D.; ORTIZ, D.; ROSALES, I. Efecto del control del tiempo de pastoreo y de la suplementación sobre el desempeño de corderos pesados. Revista Argentina de Producción Animal, 2006, v. 26, Supl1, p. 348-349. 26| Biblioteca(s): INIA Tacuarembó. |
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| 26. | | ASTESSIANO, A.; PÉREZ-CLARIGET, R.; QUINTANS, G.; SOCA, P.; CROOKER, B.A.; MEIKLE, A.; CARRIQUIRY, M. Endocrine profiles during the peripartum of primiparous rangeland beef cows of different body condition score (BCS) at calving. In: International Congress on Animal Reproduction, (17º, 2012, Vancouver, Canada). 2012. Reproduction in Domestic Animals 2012, 47 (suppl. 4). Blackwell Verlag, Berlin. resumen no. 2201.| Biblioteca(s): INIA Treinta y Tres. |
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| 27. | | ASTESSIANO, A.L.; PÉREZ-CLARIGET, R.; QUINTANS, G.; SOCA, P.; CARRIQUIRY, M. Effects of a short-term increase in the nutritional plane before the mating period on metabolic and endocrine parameters, hepatic gene expression and reproduction in primaparous beef cows on grazing conditions. Journal of Animal Physiology and Animal Nutrition, 2012, v.96, no.3, p.535-544. Article history: received: 23 February 2011; accepted: 5 May 2011.| Biblioteca(s): INIA Treinta y Tres. |
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| 28. | | APEZTEGUÍA, E.; BRUNI, M.; ORCASBERRO, R.; PIAGGIO, L.; RINALDI, C.; SOCA, P. Evaluación de una cobertura de Lotus con vacunos bajo distintas presiones de pastoreo. ln: UNIVERSIDAD DE LA REPÚBLICA (UDELAR)/ FACULTAD DE AGRONOMÍA. JORNADA DE INVESTIGACIÓN, 9 AGOSTO, EEMAC, PAYSANDÚ, URUGUAY, 1991. Resúmenes de los trabajos presentados. Montevideo (Uruguay): Facultad de Agronomía, 1991. p. 6-12| Biblioteca(s): INIA Tacuarembó. |
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| 29. | | SARAVIA, A.; CÉSAR, D.; CORREA, O.; IRAZOQUI, D.; MATÍN, J.J.; SOCA, P. Monitoreo sanitario de las recrías vacunas. 2a. ed INIA TACUAREMBÓ. Seminario de Actualización, 19 de agosto, Tacuarembó, 2004. Parasitosis Gastrointestinales en Ovinos y Bovinos. Tacuarembó (Uruguay): INIA, 2004. p. 57-64 (INIA Serie Actividades de Difusión ; 369)| Biblioteca(s): INIA Tacuarembó. |
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| 31. | | Soca, P.; Berretta, V.; Gutierrez, J.P.; Franco, J.; Trujillo, A.I.; Orcasberro, R. Performance de un rodeo de cría en pastoreo de campo natural sometido a destete temprano ln: Seminario Nacional de Campo Natural, 2 : 1990 nov 15-16 : Tacuarembó Montevideo (Uruguay): Hemisferio Sur, 1990. p351-354 Participaron del Seminario : INIA, Sociedad Uruguaya de Pasturas Naturales, Facultad de Agronomía, Plan Agropecuario| Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó. |
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| 32. | | BERETTA, V.; SOCA, P.; TRUJILLO, A.I.; FRANCO, J.; BENTANCUR, O.; ORCASBERRO, R. Performance de vacas Hereford sometidas a dos planos de alimentación en gestación avanzada y destete temporario a inicio de entore. ln: UNIVERSIDAD DE LA REPÚBLICA (UDELAR)/ FACULTAD DE AGRONOMÍA. JORNADA DE INVESTIGACIÓN, 9 AGOSTO, EEMAC, PAYSANDÚ, URUGUAY, 1991. Resúmenes de los trabajos presentados. Montevideo (Uruguay): Facultad de Agronomía, 1991. p. 39-43| Biblioteca(s): INIA Tacuarembó. |
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| 35. | | CARAM, N.; SOCA, P.; SOLLENBERGER, L.E.; BAETHGEN, W.; WALLAU, M.O.; MAILHOS, M.E. Studying beef production evolution to plan for ecological intensification of grazing ecosystems. Agricultural Systems, 2023, volume 205, Article number 103582. doi: https://doi.org/10.1016/j.agsy.2022.103582 Article history: Received 5 September 2022; Received in revised form 4 November 2022; Accepted 2 December 2022, available online 6 December 2022.
E-mail address: ncaramfernandezv@ufl.edu (N. Caram).| Biblioteca(s): INIA Treinta y Tres. |
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| 36. | | SOCA, P.; OLMOS, F.; BENTANCOR, D.; CAL, V.; SOSA, M.; DO CARMO, M. Variación en la producción y utilización del campo natural ante modificaciones en la intensidad de pastoreo y su repercusión en la condición corporal de vacas de cría ln: Reunión del grupo técnico en forrajeras del Cono Sur, 22., 2008, Minas, Uruguay Bioma campos: innovando para mantener su sustentabilidad y competitividad. Memorias. Minas (Uruguay): INIA; FAO; PROCISUR, 2008. p. 231 Versión impresa y en CD ROM Instituto Nacional de Investigación Agropecuaria, Uruguay; FAO; PROCISUR| Biblioteca(s): INIA Las Brujas; INIA Tacuarembó. |
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| 37. | | CARAM, N.; CASALÁS, F.; SOCA, P.; ANFUSO, V.; GARCÍA-FAVRE, J.; WALLAU, M.; ZANONIANI, R.; CADENAZZI, M.; BOGGIANO, P. Configuration of daily grazing and searching of growing beef cattle in grassland: observational study. Animal, 2021, volume 15, Issue 9, Article number 100336. Open Access. Doi: https://doi.org/10.1016/j.animal.2021.100336 Article history: Received 2 February 2021, Revised 29 June 2021, Accepted 2 July 2021.| Biblioteca(s): INIA La Estanzuela. |
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| 38. | | SOCA, P.; OLMOS, F.; ESPASANDIN, A.; BENTANCUR, D.; PEREYRA, F.; CAL, V.; SOSA, M.; DO CARMO, M. Herramientas para mejorar la utilización del forraje del campo natural, el ingreso económico de la cría y atenuar los efectos de la variabilidad climática en sistemas de cría vacuna del Uruguay. a. Impacto de cambios en la estrategia de asignación de forraje sobre la productivad de la cría con diversos grupos genéticos bajo pastoreo de campo natural Capítulo 3. Alternativas de manejo nutricional, control del amamantamiento y tratamientos hormonales durante el posparto. In: QUINTANS, G.; VELAZCO, J.I.; ROIG, G. (Eds.). Seminario de actualización técnica: cría vacuna. Montevideo (Uruguay): INIA, 2008. p. 110-119 (INIA Serie Técnica ; 174)| Biblioteca(s): INIA Las Brujas; INIA Tacuarembó. |
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| 39. | | SOCA, P.; OLMOS, F.; ESPASANDÍN, A.; BENTANCUR, D.; PEREYRA, F.; CAL, V.; SOSA, M.; DO CARMO, M. Herramientas para mejorar la utilización del forraje del campo natural, el ingreso económico de la cría y atenuar los efectos de la variabilidad climática en sistemas de cría vacuna del Uruguay Capítulo 3. Alternativas de manejo nutricional, control del amamantamiento y tratamientos hormonales durante el posparto. In: QUINTANS, G.; VELAZCO, J.I.; ROIG, G. (Eds.). Seminario de actualización técnica: cría vacuna. Montevideo (Uruguay): INIA, 2008. p. 110-119 (INIA Serie Técnica ; 174)| Biblioteca(s): INIA Treinta y Tres. |
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| 40. | | DUMONT, B.; MODERNEL, P.; BENOIT, M.; RUGGIA, A.; SOCA, P.; DERNAT, S.; TOURNADRE, H.; DOGLIOTTI, S.; ROSSING, W. Mobilizing ecological processes for herbivore production: farmers and researchers learning together. Frontiers in Sustainable Food Systems, 16 November 2020, Volume 4, Article number 544828. OPEN ACCESS. Doi: https://doi.org/10.3389/fsufs.2020.544828 Article history: Received: 22 March 2020; Accepted: 24 September 2020; Published: 16 November 2020.
Edited by: Iain James Gordon, Australian National University, Australia. Reviewed by: Jane Addison, James Cook University, Australia;
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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 actual : |
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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Circulación / Nivel : |
Internacional - -- |
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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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