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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
22/04/2016 |
Actualizado : |
22/04/2016 |
Tipo de producción científica : |
Informes Agroclimáticos |
Autor : |
GIMÉNEZ, A.; CASTAÑO, J.; CAL, A.; TISCORNIA, G.; SCHIAVI, C. |
Afiliación : |
AGUSTIN EDUARDO GIMÉNEZ FUREST, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSE PEDRO CASTAÑO SANCHEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ADRIAN TABARE CAL ALVAREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUADALUPE TISCORNIA TOSAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS IGNACIO SCHIAVI RAMPELBERG, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Informe Agroclimático 2016 - Situación a Enero. |
Fecha de publicación : |
2016 |
Fuente / Imprenta : |
Montevideo (Uruguay): INIA, 2016 |
Páginas : |
4 p. |
Idioma : |
Español |
Palabras claves : |
AGROCLIMA; AGROCLIMATOLOGÍA; BOLETIN AGROCLIMÁTICO; CARACTERIZACIÓN AGROCLIMÁTICA; DIRECCION VIENTO; ESTACIONES AGROMETEOROLOGICAS; ESTACIONES AUTOMATICAS; ESTACIONES INIA; ESTADO DEL TIEMPO; ESTRÉS HÍDRICO; GRAFICAS AGROCLIMATICOS; GRAS; HELIOFANOGRAFO; INFORMACION SATELITAL; INUNDACIONES; LLUVIAS DIARIAS; MAXIMA; MEDIA; MINIMA; PANEL SOLAR; PERSPECTIVAS CLIMATICAS; PLUVIOMETRO; PRECIPITACION NACIONAL; PREVENCION HELADAS; PRONOSTICO; SENSOR; SIMETRICO; TANQUE A; TERMOCUPLAS; TERMOHIDROGRAFO; VARIABLES AGROCLIMATICAS; VELETA. |
Thesagro : |
AGROCLIMATOLOGIA; CAMBIO CLIMATICO; CLIMA; CLIMATOLOGIA; ESTACIONES METEOROLOGICAS; ESTRES HIDRICO; EVAPORACION; EVAPOTRANSPIRACION; HUMEDAD; HUMEDAD RELATIVA; LLUVIA; METEOROLOGIA; PERSPECTIVAS; PLUVIOMETROS; PRONOSTICO DEL TIEMPO; SENSORES; SISTEMAS; SISTEMAS DE INFORMACION; SUELO; TEMPERATURA; TERMOMETROS. |
Asunto categoría : |
P40 Meteorología y climatología |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5694/1/Informe-agroclimatico-INIA-GRAS-Enero-de-2016.pdf
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Marc : |
LEADER 02065nam a2200793 a 4500 001 1054710 005 2016-04-22 008 2016 bl uuuu u0uu1 u #d 100 1 $aGIMÉNEZ, A. 245 $aInforme Agroclimático 2016 - Situación a Enero.$h[electronic resource] 260 $aMontevideo (Uruguay): INIA$c2016 300 $a4 p. 650 $aAGROCLIMATOLOGIA 650 $aCAMBIO CLIMATICO 650 $aCLIMA 650 $aCLIMATOLOGIA 650 $aESTACIONES METEOROLOGICAS 650 $aESTRES HIDRICO 650 $aEVAPORACION 650 $aEVAPOTRANSPIRACION 650 $aHUMEDAD 650 $aHUMEDAD RELATIVA 650 $aLLUVIA 650 $aMETEOROLOGIA 650 $aPERSPECTIVAS 650 $aPLUVIOMETROS 650 $aPRONOSTICO DEL TIEMPO 650 $aSENSORES 650 $aSISTEMAS 650 $aSISTEMAS DE INFORMACION 650 $aSUELO 650 $aTEMPERATURA 650 $aTERMOMETROS 653 $aAGROCLIMA 653 $aAGROCLIMATOLOGÍA 653 $aBOLETIN AGROCLIMÁTICO 653 $aCARACTERIZACIÓN AGROCLIMÁTICA 653 $aDIRECCION VIENTO 653 $aESTACIONES AGROMETEOROLOGICAS 653 $aESTACIONES AUTOMATICAS 653 $aESTACIONES INIA 653 $aESTADO DEL TIEMPO 653 $aESTRÉS HÍDRICO 653 $aGRAFICAS AGROCLIMATICOS 653 $aGRAS 653 $aHELIOFANOGRAFO 653 $aINFORMACION SATELITAL 653 $aINUNDACIONES 653 $aLLUVIAS DIARIAS 653 $aMAXIMA 653 $aMEDIA 653 $aMINIMA 653 $aPANEL SOLAR 653 $aPERSPECTIVAS CLIMATICAS 653 $aPLUVIOMETRO 653 $aPRECIPITACION NACIONAL 653 $aPREVENCION HELADAS 653 $aPRONOSTICO 653 $aSENSOR 653 $aSIMETRICO 653 $aTANQUE A 653 $aTERMOCUPLAS 653 $aTERMOHIDROGRAFO 653 $aVARIABLES AGROCLIMATICAS 653 $aVELETA 700 1 $aCASTAÑO, J. 700 1 $aCAL, A. 700 1 $aTISCORNIA, G. 700 1 $aSCHIAVI, C.
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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
21/06/2023 |
Actualizado : |
21/06/2023 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
BUSTAMANTE-SILVEIRA, M.; SIRI-PRIETO, G.; MAZZILLI, R.; CARRASCO-LETELIER, L. |
Afiliación : |
MAURICIO BUSTAMANTE-SILVEIRA, Estación Experimental Mario Cassinoni (EEMAC), Facultad de Agronomía, Universidad de la República, Ruta 3 Km 363, Paysandú, Uruguay; GUILLERMO SIRI?PRIETO, Estación Experimental Mario Cassinoni (EEMAC), Facultad de Agronomía, Universidad de la República, Ruta 3 Km 363, Paysandú, Uruguay; SEBASTIÁN R. MAZZILLI, Estación Experimental Mario Cassinoni (EEMAC), Facultad de Agronomía, Universidad de la República, Ruta 3 Km 363, Paysandú, Uruguay; LEONIDAS CARRASCO-LETELIER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Carbon footprint of four bioethanol cropping systems in a temperate region. [preprint article]. |
Fecha de publicación : |
2023 |
Fuente / Imprenta : |
Available at SSRN: https://ssrn.com/abstract=4484823 or http://dx.doi.org/10.2139/ssrn.4484823 |
Páginas : |
46 p. |
DOI : |
10.2139/ssrn.4484823 |
Idioma : |
Inglés |
Notas : |
Article history: Posted 19 Jun 2023. -- This preprint research paper has not been peer reviewed. Electronic copy available at: https://ssrn.com/abstract=4484823. Preprint submitted to Renewable and Sustainable Energy Reviews, May 20, 2023. -- Corresponding author: Mauricio Bustamante-Silveira, mauriciobs_22@hotmail.com . -- |
Contenido : |
ABSTRACT.- The production of ethanol from biomass pursuant to the EU Renewable Energy Directive (2009/28/EC) requires an estimation of the levels of greenhouse gas (GHG) emissions from biofuels to assess the emissions savings in comparison to fossil fuels. Within this framework, the carbon footprint was estimated for four bioethanol cropping systems: a maize-wheat-sorghum rotation without the harvest of crop residues (MWS), a maize-wheat-sorghum rotation with harvested crop residues (MWS-R), switchgrass (Sw), and continuous sweet sorghum (Ss). The estimation followed a life-cycle analysis strategy, considering the relevant inputs and processes for the emission of GHG from the crop management phases of soil preparation, planting, post-planting operations, harvesting, and transport. The carbon footprint varied between 0.04 and 3.68 kgCO2-eqL-1ethanol. Switchgrass had the smallest footprint and the highest ethanol yield per hectare (4,263 L [ha yr]-1). However, for annual systems, Ss had the highest emissions (3.68 kg CO2-eq L ethanol-1), 2 and 4 times larger than MWS-R and MWS systems. The soil preparation, planting, and post-planting emissions were 80% of the mean emissions in the annual cropping systems. By comparison, in Sw, 60% of the total GHG emissions came from post-planting and 46% from fertilizers. In Sw, soil erosion by water accounted for 35% of the soil organic carbon lost in the MWS-R and Ss systems. In addition, Sw was the system with the most significant carbon sequestration (1,957 kg CO2-eq [ha yr-1]), a value that corresponded to 94% of the overall emissions of this bioethanol cropping system. MenosABSTRACT.- The production of ethanol from biomass pursuant to the EU Renewable Energy Directive (2009/28/EC) requires an estimation of the levels of greenhouse gas (GHG) emissions from biofuels to assess the emissions savings in comparison to fossil fuels. Within this framework, the carbon footprint was estimated for four bioethanol cropping systems: a maize-wheat-sorghum rotation without the harvest of crop residues (MWS), a maize-wheat-sorghum rotation with harvested crop residues (MWS-R), switchgrass (Sw), and continuous sweet sorghum (Ss). The estimation followed a life-cycle analysis strategy, considering the relevant inputs and processes for the emission of GHG from the crop management phases of soil preparation, planting, post-planting operations, harvesting, and transport. The carbon footprint varied between 0.04 and 3.68 kgCO2-eqL-1ethanol. Switchgrass had the smallest footprint and the highest ethanol yield per hectare (4,263 L [ha yr]-1). However, for annual systems, Ss had the highest emissions (3.68 kg CO2-eq L ethanol-1), 2 and 4 times larger than MWS-R and MWS systems. The soil preparation, planting, and post-planting emissions were 80% of the mean emissions in the annual cropping systems. By comparison, in Sw, 60% of the total GHG emissions came from post-planting and 46% from fertilizers. In Sw, soil erosion by water accounted for 35% of the soil organic carbon lost in the MWS-R and Ss systems. In addition, Sw was the system with the most significant carbon ... Presentar Todo |
Palabras claves : |
Biofuel; Greenhouse Gas Emissions; Life Cycle Assessment; SOC; Soil erosion. |
Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
URL : |
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4484823
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Marc : |
LEADER 02738naa a2200253 a 4500 001 1064206 005 2023-06-21 008 2023 bl uuuu u00u1 u #d 024 7 $a10.2139/ssrn.4484823$2DOI 100 1 $aBUSTAMANTE-SILVEIRA, M. 245 $aCarbon footprint of four bioethanol cropping systems in a temperate region. [preprint article].$h[electronic resource] 260 $c2023 300 $a46 p. 500 $aArticle history: Posted 19 Jun 2023. -- This preprint research paper has not been peer reviewed. Electronic copy available at: https://ssrn.com/abstract=4484823. Preprint submitted to Renewable and Sustainable Energy Reviews, May 20, 2023. -- Corresponding author: Mauricio Bustamante-Silveira, mauriciobs_22@hotmail.com . -- 520 $aABSTRACT.- The production of ethanol from biomass pursuant to the EU Renewable Energy Directive (2009/28/EC) requires an estimation of the levels of greenhouse gas (GHG) emissions from biofuels to assess the emissions savings in comparison to fossil fuels. Within this framework, the carbon footprint was estimated for four bioethanol cropping systems: a maize-wheat-sorghum rotation without the harvest of crop residues (MWS), a maize-wheat-sorghum rotation with harvested crop residues (MWS-R), switchgrass (Sw), and continuous sweet sorghum (Ss). The estimation followed a life-cycle analysis strategy, considering the relevant inputs and processes for the emission of GHG from the crop management phases of soil preparation, planting, post-planting operations, harvesting, and transport. The carbon footprint varied between 0.04 and 3.68 kgCO2-eqL-1ethanol. Switchgrass had the smallest footprint and the highest ethanol yield per hectare (4,263 L [ha yr]-1). However, for annual systems, Ss had the highest emissions (3.68 kg CO2-eq L ethanol-1), 2 and 4 times larger than MWS-R and MWS systems. The soil preparation, planting, and post-planting emissions were 80% of the mean emissions in the annual cropping systems. By comparison, in Sw, 60% of the total GHG emissions came from post-planting and 46% from fertilizers. In Sw, soil erosion by water accounted for 35% of the soil organic carbon lost in the MWS-R and Ss systems. In addition, Sw was the system with the most significant carbon sequestration (1,957 kg CO2-eq [ha yr-1]), a value that corresponded to 94% of the overall emissions of this bioethanol cropping system. 653 $aBiofuel 653 $aGreenhouse Gas Emissions 653 $aLife Cycle Assessment 653 $aSOC 653 $aSoil erosion 700 1 $aSIRI-PRIETO, G. 700 1 $aMAZZILLI, R. 700 1 $aCARRASCO-LETELIER, L. 773 $tAvailable at SSRN: https://ssrn.com/abstract=4484823 or http://dx.doi.org/10.2139/ssrn.4484823
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