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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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| 2. |  | CABRERA, D.; DISEGNA, E.; FELIX, E.; CASTILLO, A.; GIL, R.F.; LEGGIADRO, R. Raleo en ciruelas: experiencia en Uruguay In: INIA (Instituto Nacional de Investigación Agropecuaria); Programa Fruticultura. Actualización Técnica en el Cultivo del Ciruelo. Seminario Regional, 27 mayo 2003, INIA Las Brujas, Canelones (Uruguay). Canelones (Uruguay): INIA Las Brujas, 2003. p. 120-130 (INIA Serie Actividades de Difusión ; 315)| Biblioteca(s): INIA Tacuarembó. |
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| 3. | | CABRERA, D.; DISEGNA, E.; FELIZ, E.; CASTILLO, A.; GIL, R.F.; LEGGIADRO, R. Raleo en ciruelas: experiencia en Uruguay. In: INIA (Instituto Nacional de Investigación Agropecuaria); Programa Fruticultura. Actualización Técnica en el Cultivo del Ciruelo. Seminario Regional, 27 mayo 2003, INIA Las Brujas, Canelones (Uruguay). Canelones (Uruguay): INIA Las Brujas, 2003. p. 120-130 (INIA Serie Actividades de Difusión ; 315)| Biblioteca(s): INIA Las Brujas. |
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| 4. | | CABRERA, D.; RODRIGUEZ, P.; UBERTI, A.; ZOPPOLO, R.; CONIBERTI, A.; DISEGNA, E. Productive behavior of Williams pear (Pyrus communis L.) grafted onto different rootstocks. [abstract of poster] In: Zoppolo, R. Cabrera, D. (Eds.). Growing in diversity. Proceedings of the International Pear Symposium, 13, Dec. 4-7th 2018, Montevideo, Uruguay. p.38| Tipo: Abstracts/Resúmenes |
| Biblioteca(s): INIA Las Brujas. |
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| 5. | | CABRERA, D.; RODRIGUEZ, P.; UBERTI, A.; ZOPPOLO, R.; CONIBERTI, A.; DISEGNA, E. Williams pear (Pyrus communis L.) productivity and fruit quality, grafted onto different rootstocks. [abstract of poster] In: Zoppolo, R. Cabrera, D. (Eds.). Growing in diversity. Proceedings of the International Pear Symposium, 13, Dec. 4-7th 2018, Montevideo, Uruguay. p. 84.| Tipo: Abstracts/Resúmenes |
| Biblioteca(s): INIA Las Brujas. |
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| 9. | | CABRERA, D.; SORIA, J.; DISEGNA, E.; PISANO, J.; RODRIGUEZ, P. Sistemas de conducción de duraznero en alta densidad. [resumen] ln: SUH (Sociedad Uruguaya de Horticultura). Congreso Nacional de Horticultura, 7.; Seminario de Liderazgo Profesional, 1., 1999, Montevideo, Uruguay Resúmenes. Montevideo (Uruguay): SUH, 1999. p. 56| Tipo: Abstracts/Resúmenes |
| Biblioteca(s): INIA Las Brujas. |
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| 11. | | Cabrera, D.Carrau, F.Rodríguez, P.Soria, J.Disegna, E. Portainjertos para duraznero en la zona litoral norte del país ln: Avances de investigación en frutales de carozo y arándanos: reunión anual, 2000, Salto, Uruguay Trabajos presentados. Las Brujas, Canelones (Uruguay): INIA, 2000. p. 4-7 (INIA Serie Actividades de Difusión ; 237) INIA Salto Grande; INIA Tacuarembó; INIA Las Brujas| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas; INIA Tacuarembó. |
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| 13. | | CARRAU, F.; BOIDO, E.; GAGGERO, C.; MEDINA, K.; FARIÑA, L.; DISEGNA, E.; DELLACASSA, I. Vitis vinifera Tannat, chemical characterization and functional properties. Ten years of research. In: Multidisciplinary Approaches on Food Science and Nutrition for the XXI Century. Research Signpost/ Transworld Res. Network. Rosana Filip (editor), Kerala, India, 2011. pp.53-71. ISBN: 978-81-7895-504-9 Correspondence/Reprint request: Dr. E. Dellacassa, Cátedra de Farmacognosia y Productos Naturales, Facultad de Química, Universidad de la República, Gral. Flores 2124, 11800-Montevideo, Uruguay. E-mail: edellac@fq.edu.uy| Tipo: Capítulo en Libro Técnico-Científico |
| Biblioteca(s): INIA Las Brujas. |
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| 14. | | CONIBERTI, A.; DISEGNA, E.; FERRARI, V. El balance del Tannat en el sur de Uruguay. Manual para la caracterización y el ajuste del manejo del viñedo. Montevideo (Uruguay): INIA, 2014. 44 p. (Serie Técnica; 219) Trabajo financiado por: ANII, FUCREA, INAVI, INIA.
Ejecución de actividades: INIA, INAVI, FQ, FUCREA.| Biblioteca(s): INIA Las Brujas; INIA Treinta y Tres. |
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| 15. | | CONIBERTI, A.; FERRARI, V.; DELLACASSA, E.; BOIDO, E.; CARRAU, F.; GEPP, V.; DISEGNA, E. Kaolin over sun-exposed fruit affects berry temperature, must composition and wine sensory attributes of Sauvignon blanc. European Journal of Agronomy, 2013, v.50, p.75-81. Article history: Received 3 May 2013 / Received in revised form 1 June 2013 / Accepted 3 June 2013.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : A - 1 |
| Biblioteca(s): INIA Las Brujas. |
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| 16. | | CONIBERTI, A.; FERRARI, V.; DISEGNA, E.; DELLACASSA, E.; LAKSO, A. Cover crops management to restrict water availability, vine growth rate and final canopy size with no impact on fruit yield. [Manejo del cultivo de cobertura para restringir la disponiblidad de agua, la tasa de crecimiento de la vid y el tamaño de la canopia, sin afectar el rendimiento potencial de la fruta.]. [Gestione delle colture di copertura per limitar la disponibilitá di acqua, il tasso di crescita della vite e la dimensione finale della chioma senza impatto sulla resa potenziale di fruta.]. Abstract 2018-2072. Viticulture and adaptation to environmental challenges. Oral & short. In: World Congress of Vine and Wine, 41st. Book of abstracts. Instituto Nacional de Vitivinicultura (INAVI), International Organisation of Vine and Wine (OIV), 2018, pp.45-46. 41 Congreso Mundial de la Vid y el Vino, 16 Asamblea General de la OIV, 19-23 de noviembre de 2018, Punta del Este, Maldonado, Uruguay. "Proyectando el futuro: desafíos de la producción y el mercado".
41st World Congress of Vine and Wine,...| Tipo: Abstracts/Resúmenes |
| Biblioteca(s): INIA Las Brujas. |
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| 17. | | CONIBERTI, A.; FERRARI, V.; DISEGNA, E.; DELLACASSA, E.; LAKSO, A.N. Under-trellis cover crop and deficit irrigation to regulate water availability and enhance Tannat wine sensory attributes in a humid climate. Scientia Horticulturae, 2018, v. 235, p. 244-252. Article history :Received 11 December 2017, Revised 3 March 2018, Accepted 6 March 2018, Available online 20 March 2018.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA La Estanzuela. |
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| Registros recuperados : 53 | |
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