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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. |
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Fecha : |
04/03/2024 |
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Actualizado : |
04/03/2024 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Nacionales |
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Autor : |
GORGOGLIONE, A.; PUPPO, L.; GAMAZO, P.; GARCIA, C.; OTERO, A. |
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Afiliación : |
ÁNGELA GORGOGLIONE, Universidad de la República, Facultad de Ingeniería, Montevideo, Uruguay; LUCÍA PUPPO, Universidad de la República, Facultad de Agronomía, Montevideo, Uruguay; PABLO GAMAZO, Universidad de la República, Centro Universitario Regional Norte, Salto, Uruguay; CLAUDIO CESAR GARCIA GALLARRETA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALVARO RICARDO OTERO CAMA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Advances in water in Agroscience. [Avances en agua en Agrociencia.]. [Avanços na água na Agrociência.]. |
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Complemento del título : |
Advances in Water in Agroscience. Editorial. Introduction. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Agrociencia Uruguay, 2023, Vol.27(NE1), e1375. https://doi.org/10.31285/AGRO.27.1375 -- OPEN ACCESS. |
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ISSN : |
2730-5066 |
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DOI : |
10.31285/AGRO.27.1375 |
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Idioma : |
Inglés |
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Notas : |
Article history: Published 6 February 2024. -- Correspondence: Angela Gorgoglione, agorgoglione@fing.edu.uy -- License: This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/ ). |
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Contenido : |
ABSTRACT.- Worldwide, water is essential for maintaining an adequate agricultural production and fostering a sustainable ecosystem for humanity alongside diverse flora, fauna, and microbial life. However, the intensification of anthropogenic activities, the occurrence of climate variability, and the presence of environmental issues are still threatening the quantity and quality of fresh water. Therefore, integrated water management is critical for the sustainable development of a region. This Agrociencia Uruguay Special Issue on "Advances in Water in Agroscience" is designed to draw attention to new concepts, approaches, methodologies, and novel applications aiming to improve sustainable and integrated water resource management. This Special Issue contains fifteen publications sorted into the following macro fields: irrigation and water management, integrated catchment management, and water quality and environmental sustainability. -.-.-.-.-.-.-.-.-.-.-.-.-.-. RESUMEN.- A nivel mundial, el agua es esencial para mantener una producción agrícola adecuada y un ambiente sostenible para la población humana y otras formas de vida, como animales, plantas y microbios. Sin embargo, la intensificación de actividades antropogénicas, la variabilidad climática y la presencia de problemas ambientales siguen amenazando la cantidad y la calidad del agua dulce. Por tanto, la gestión integrada del agua es fundamental para el desarrollo sostenible de una región. Este número especial, titulado "Advances in Water in Agroscience" de la revista Agrociencia Uruguay, está dise-ñado para destacar nuevos conceptos, enfoques, metodologías y aplicaciones novedosas que buscan mejorar la gestión sostenible e integrada de los recursos hídricos. El número especial consta de quince publicaciones, clasificadas en tres campos principales: riego y gestión del agua, manejo integrado de cuencas, y calidad del agua y sostenibilidad ambiental. -.-.-.-.-.-.-.-.-.-.-.-.-.-. RESUMO.- Em todo o mundo, a água é essencial para manter uma produção agrícola adequada e promover um ecossistema sustentável para a humanidade, juntamente com uma diversidade de flora, fauna e vida microbiana. No entanto, a intensificação das atividades antropogênicas, a ocorrência de variabilidade climática e a presença de problemas ambientais ainda ameaçam a quantidade e qualidade da água doce. Portanto, a gestão integrada da água é fundamental para o desenvol-vimento sustentável de uma região. Esta Edição Especial da Agrociencia Uruguai sobre "Advances in Water in Agroscience" foi projetada para chamar a atenção para novos conceitos, abordagens, metodologias e aplicações inovadoras com o objetivo de melhorar a gestão sustentável e integrada dos recursos hídricos. Esta Edição Especial contém quinze pu-blicações classificadas nos seguintes campos macro: irrigação e gestão da água, gestão integrada de bacias hidrográficas e qualidade da água e sustentabilidade ambiental. .-.-. MenosABSTRACT.- Worldwide, water is essential for maintaining an adequate agricultural production and fostering a sustainable ecosystem for humanity alongside diverse flora, fauna, and microbial life. However, the intensification of anthropogenic activities, the occurrence of climate variability, and the presence of environmental issues are still threatening the quantity and quality of fresh water. Therefore, integrated water management is critical for the sustainable development of a region. This Agrociencia Uruguay Special Issue on "Advances in Water in Agroscience" is designed to draw attention to new concepts, approaches, methodologies, and novel applications aiming to improve sustainable and integrated water resource management. This Special Issue contains fifteen publications sorted into the following macro fields: irrigation and water management, integrated catchment management, and water quality and environmental sustainability. -.-.-.-.-.-.-.-.-.-.-.-.-.-. RESUMEN.- A nivel mundial, el agua es esencial para mantener una producción agrícola adecuada y un ambiente sostenible para la población humana y otras formas de vida, como animales, plantas y microbios. Sin embargo, la intensificación de actividades antropogénicas, la variabilidad climática y la presencia de problemas ambientales siguen amenazando la cantidad y la calidad del agua dulce. Por tanto, la gestión integrada del agua es fundamental para el desarrollo sostenible de una región. Este número especial, titulado ... Presentar Todo |
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Palabras claves : |
Agricultura sustentável; Basin management; Crop simulation; Gestão de bacias hidrográficas; Gestión de cuencas; Irrigação; Irrigation; Medição e controle de água; Medición y control del agua; Modelado; Modelagem; Modeling; Nutrientes en el agua; Nutrientes na água; Nutrients in water; Simulação de culturas; Simulación de cultivos; Sustainable agriculture; Water measurement and control. |
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Thesagro : |
AGRICULTURA SOSTENIBLE; RIEGO. |
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Asunto categoría : |
P10 Recursos hídricos y su ordenación |
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Marc : |
LEADER 04664naa a2200457 a 4500
001 1064486
005 2024-03-04
008 2023 bl uuuu u00u1 u #d
022 $a2730-5066
024 7 $a10.31285/AGRO.27.1375$2DOI
100 1 $aGORGOGLIONE, A.
245 $aAdvances in water in Agroscience. [Avances en agua en Agrociencia.]. [Avanços na água na Agrociência.].$h[electronic resource]
260 $c2023
500 $aArticle history: Published 6 February 2024. -- Correspondence: Angela Gorgoglione, agorgoglione@fing.edu.uy -- License: This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/ ).
520 $aABSTRACT.- Worldwide, water is essential for maintaining an adequate agricultural production and fostering a sustainable ecosystem for humanity alongside diverse flora, fauna, and microbial life. However, the intensification of anthropogenic activities, the occurrence of climate variability, and the presence of environmental issues are still threatening the quantity and quality of fresh water. Therefore, integrated water management is critical for the sustainable development of a region. This Agrociencia Uruguay Special Issue on "Advances in Water in Agroscience" is designed to draw attention to new concepts, approaches, methodologies, and novel applications aiming to improve sustainable and integrated water resource management. This Special Issue contains fifteen publications sorted into the following macro fields: irrigation and water management, integrated catchment management, and water quality and environmental sustainability. -.-.-.-.-.-.-.-.-.-.-.-.-.-. RESUMEN.- A nivel mundial, el agua es esencial para mantener una producción agrícola adecuada y un ambiente sostenible para la población humana y otras formas de vida, como animales, plantas y microbios. Sin embargo, la intensificación de actividades antropogénicas, la variabilidad climática y la presencia de problemas ambientales siguen amenazando la cantidad y la calidad del agua dulce. Por tanto, la gestión integrada del agua es fundamental para el desarrollo sostenible de una región. Este número especial, titulado "Advances in Water in Agroscience" de la revista Agrociencia Uruguay, está dise-ñado para destacar nuevos conceptos, enfoques, metodologías y aplicaciones novedosas que buscan mejorar la gestión sostenible e integrada de los recursos hídricos. El número especial consta de quince publicaciones, clasificadas en tres campos principales: riego y gestión del agua, manejo integrado de cuencas, y calidad del agua y sostenibilidad ambiental. -.-.-.-.-.-.-.-.-.-.-.-.-.-. RESUMO.- Em todo o mundo, a água é essencial para manter uma produção agrícola adequada e promover um ecossistema sustentável para a humanidade, juntamente com uma diversidade de flora, fauna e vida microbiana. No entanto, a intensificação das atividades antropogênicas, a ocorrência de variabilidade climática e a presença de problemas ambientais ainda ameaçam a quantidade e qualidade da água doce. Portanto, a gestão integrada da água é fundamental para o desenvol-vimento sustentável de uma região. Esta Edição Especial da Agrociencia Uruguai sobre "Advances in Water in Agroscience" foi projetada para chamar a atenção para novos conceitos, abordagens, metodologias e aplicações inovadoras com o objetivo de melhorar a gestão sustentável e integrada dos recursos hídricos. Esta Edição Especial contém quinze pu-blicações classificadas nos seguintes campos macro: irrigação e gestão da água, gestão integrada de bacias hidrográficas e qualidade da água e sustentabilidade ambiental. .-.-.
650 $aAGRICULTURA SOSTENIBLE
650 $aRIEGO
653 $aAgricultura sustentável
653 $aBasin management
653 $aCrop simulation
653 $aGestão de bacias hidrográficas
653 $aGestión de cuencas
653 $aIrrigação
653 $aIrrigation
653 $aMedição e controle de água
653 $aMedición y control del agua
653 $aModelado
653 $aModelagem
653 $aModeling
653 $aNutrientes en el agua
653 $aNutrientes na água
653 $aNutrients in water
653 $aSimulação de culturas
653 $aSimulación de cultivos
653 $aSustainable agriculture
653 $aWater measurement and control
700 1 $aPUPPO, L.
700 1 $aGAMAZO, P.
700 1 $aGARCIA, C.
700 1 $aOTERO, A.
773 $tAgrociencia Uruguay, 2023, Vol.27(NE1), e1375. https://doi.org/10.31285/AGRO.27.1375 -- OPEN ACCESS.
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INIA Las Brujas (LB) |
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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 |
|
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. |
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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 : |
LEADER 05363naa a2201417 a 4500
001 1053856
005 2019-10-09
008 2015 bl uuuu u00u1 u #d
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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