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| Registros recuperados : 55 | |
| 41. |  | ALANIZ, S.; GEPP, V.; MONDINO, P.; LEONI, C.; MUJICA, V.; NUÑEZ, S.; SCATONI, I. Monitoreo de insectos plaga: orden lepidoptera. In: Alaniz, S.; Gepp, V.; Mondino, P.; Leoni, C.; Mujica, V.; Núñez, S.; Scatoni, I. Guía de identificación y monitoreo de enfermedades y plagas en frutales de hoja caduca y vid bajo manejo integrado. Montevideo (UY): AFRUPI, 2016. p.81-95.| Biblioteca(s): INIA Las Brujas. |
|    |
| 42. | | ALANIZ, S.; GEPP, V.; MONDINO, P.; LEONI, C.; MUJICA, V.; NUÑEZ, S.; SCATONI, I. Monitoreo de insectos plaga: orden thysanoptera. In: Alaniz, S.; Gepp, V.; Mondino, P.; Leoni, C.; Mujica, V.; Núñez, S.; Scatoni, I. Guía de identificación y monitoreo de enfermedades y plagas en frutales de hoja caduca y vid bajo manejo integrado. Montevideo (UY): AFRUPI, 2016. p.123-125.| Biblioteca(s): INIA Las Brujas. |
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| 43. | | MOREIRA, V.; FERRONATO, B.; DE BENEDETTI, F.; GONZÁLEZ-BARRIOS, P.; MONDINO, P.; ALANIZ, S. Incidence of Colletotrichum latent infections during olive fruit development under Uruguayan environmental conditions. International Journal of Pest Management, 2022, vol. 68, issue 4: "Uruguayan Society of Phytopathology (SUFIT): Plant protection for a sustainable agriculture", p.286-294. doi: https://doi.org/10.1080/09670874.2022.2119490 Article history: Received 30 April 2022, Accepted 25 August 2022, Published online 08 September 2022. Corresponding author: Moreira, V.; Departamento de Protección Vegetal, Facultad de Agronomía, Universidad de la República, Montevideo,...| Biblioteca(s): INIA Las Brujas. |
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| 44. | | NUÑEZ, S.; SCATONI, I.; LEONI, C.; MONDINO, P.; TELLIS, V.; CARREGA, E. Situación actual y perspectivas de la Producción Integrada Frutícola en Uruguay. In: SEMINÁRIO BRASILEIRO DE PRODUÇÃO INTEGRADA DE FRUTAS, 5., 2003, Bento Gonçalves. Anais... Bento Gonçalves: Embrapa Uva e Vinho, 2003. p. 27-34. (Embrapa Uva e Vinho. Documentos, 39).| Biblioteca(s): INIA Las Brujas. |
| |
| 45. | | MONDINO, P.; CASANOVA, L.; CELIO, A.; BENTANCUR, O.; LEONI, C.; ALANIZ, S. Sensitivity of Venturia inaequalis to Trifloxystrobin and Difenoconazole in Uruguay. Journal of Phytopathology, 2015, v.163, p.1-10. Original article. Received: December 26, 2013; accepted: April 4, 2014.| Biblioteca(s): INIA Las Brujas. |
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| 47. | | Silvera, E.; González, P.; Di Candia, M.; Galvan, G.; Mondino, P.; Scattolini, A.; Curbelo, N.; Gepp, V. Control biologico de la mancha foliar y punta seca de la cebolla ocasionada por botrytis squamosa en almacigo ln: Congreso Latinoamericano de Fitopatologia, 9 : 1997 oct 12-17 : Montevideo Libro de resumenes. Montevideo (Uruguay): Sociedad Uruguaya de Fitopatologia, 1997. p191| Biblioteca(s): INIA La Estanzuela. |
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| 48. | | GARAT, M.F.; DÍAZ, M.V.; ALANIZ, S.; DE AURREOCOECHEA, I.; MONDINO, P.; PIANZZOLA, M.J.; VERO, S. Estrategias para el manejo integrado de enfermedades en postcosecha de manzana. Parte II: Estudio de antagonistas ln: Congreso Nacional de Horticultura, 9.; Simposio de Producción y Comercialización de Manzana, 2003, Montevideo, Uruguay Resúmenes. Montevideo (Uruguay): SUHINIA, 2003. p. 83 Sociedad Uruguaya de Horticultura; Instituto Nacional de Investigación Agropecuaria, Uruguay| Biblioteca(s): INIA Las Brujas. |
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| 49. | | MONDINO, P.; FOURMENT, M.; SEVERINO, V.; LEONI, C.; MUJICA, V.; CABRERA, D.; RABELLINO, F.; CESCATO, I.; BUSCHIAZZO, M.; CARREGA, E. Normas para la Producción Integrada de duraznero. Actualización 2018. Montevideo (UY): DIGEGRA-Facultad de Agronomía-INIA, 2018. 21 p. Actualización realizada sobre la norma original y sus respectivas actualizaciones.| Biblioteca(s): INIA Las Brujas. |
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| 50. | | MONDINO, P.; SEVERINO, V.; FOURMENT, M.; LEONI, C.; MUJICA, V.; FASIOLO, C.; ZOPPOLO, R.; RABELLINO, F.; CESCATO, I.; ROLANDO, E.; BUSCHIAZZO, M.; CARREGA, E.; OSORIO, F. Directivas generales para la producción integrada frutícola de Uruguay. Actualización 2019. Montevideo (UY): DIGEGRA-Facultad de Agronomía-INIA, 2019. 8 p. Actualización realizada sobre la norma original y sus respectivas actualizaciones.| Biblioteca(s): INIA Las Brujas. |
| |
| 51. | | Mondino, P.; D Masi, S.; Falconí, F.; Montealegre, J.; Henríquez, J.L.; Nunes, C.; Salazar, M.; Stadnik, M.; Vero, S.; Usall, J. Manual de identificación de enfermedades de manzana en poscosecha = Manual de identificaçao de doenças da maça em pós-colheita Montevideo (UY): CYTED, 2009. 67 p.| Biblioteca(s): INIA Las Brujas. |
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| 52. | | MALVAREZ, G.; MONDINO, P.; RODRÍGUEZ, A.; AGUILAR, M.; SILVERA, E.; PIEDRA BUENA, A.; ALANIZ, S.; SILVEIRA, A.C.; COTÉ, M.J. Identificación de las especies de Monilinia spp. causantes de la podredumbre morena del duraznero a partir de aislamientos obtenidos de frutos enfermos y mediante la utilización de PCR con el uso de primers específicos. In: INIA (Instituto Nacional de Investigación Agropecuaria); Universidad de la República (UdelaR)/ Facultad de Agronomía. Resultados experimentales en protección vegetal en frutales. Canelones (UY): INIA, 2001. p. 53-56. (INIA Serie Actividades de Difusión; 272) Proyecto financiado por la Comisión Sectorial de Investigación Científica (CSIC).| Biblioteca(s): INIA Las Brujas. |
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| 53. | | MONDINO, P.; FOURMENT, M.; SEVERINO, V.; SILVEIRA, A.C.; LEONI, C.; MUJICA, V.; CABRERA, D.; RABELLINO, F.; CESCATO, I.; BUSCHIAZZO, M.; CARREGA, E. Normas para la Producción Integrada de manzano. Actualización 2018. Montevideo (UY): DIGEGRA-Facultad de Agronomía-INIA, 2018. 38 p. Actualización realizada sobre la norma original y sus respectivas actualizaciones.| Biblioteca(s): INIA Las Brujas. |
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| 54. | | MONDINO, P.; FOURMENT, M.; SEVERINO, V.; SILVEIRA, A.C.; LEONI, C.; MUJICA, V.; CABRERA, D.; RABELLINO, F.; CESCATO, I.; BUSCHIAZZO, M.; CARREGA, E. Normas para la Producción Integrada de pera. Actualización 2018. Montevideo (UY): DIGEGRA-Facultad de Agronomía-INIA, 2018. 33 p. Actualización realizada sobre la norma original y sus posteriores modificaciones.| Biblioteca(s): INIA Las Brujas. |
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| 55. | | MONDINO, P.; SEVERINO, V.; FOURMENT, M.; SILVEIRA, A.C.; LEONI, C.; MUJICA, V.; CONIBERTI, A.; RABELLINO, F.; CESCATO, I.; BUSCHIAZZO, M.; CARREGA, E. Normas para la Producción Integrada de uva de mesa de Uruguay. Actualización 2018. Montevideo (UY): DIGEGRA-Facultad de Agronomía-INIA, 2018. 21 p. Actualización realizada sobre la norma original y sus respectivas actualizaciones.| Biblioteca(s): INIA Las Brujas. |
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| Registros recuperados : 55 | |
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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. |
|
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. |
|
Thesagro : |
ARROZ; CAMBIO CLIMÁTICO; MAÍZ; MODELOS ESTADISTICOS; TRIGO. |
|
Asunto categoría : |
A50 Investigación agraria |
|
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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