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Registro completo
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Biblioteca (s) : |
INIA Las Brujas; INIA Salto Grande. |
Fecha : |
21/02/2014 |
Actualizado : |
22/02/2014 |
Autor : |
Rubio, L.; Pérez, E. |
Título : |
Contribuciones para mejorar la calidad sanitaria de la fruta cítrica. Avances de investigación en control de mancha marrón de Alternaria |
Fecha de publicación : |
2012 |
Fuente / Imprenta : |
ln: Rubio, L.; Pérez, E.; Buenahora, J.; Otero, A. Resultados de avances en investigación en protección vegetal citrícola. Salto (Uruguay): INIA, 2012. |
Páginas : |
p.1-14 |
Serie : |
(INIA Serie Actividades de Difusión; 688) |
Idioma : |
Español |
Thesagro : |
ALTERNARIA ALTERNATA; CITRUS; CONTROL DE ENFERMEDADES DE PLANTAS; ENFERMEDADES DE LAS PLANTAS; FUNGICIDAS; PROTECCIÓN DE LAS PLANTAS. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/2399/1/12940170812140635.pdf
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Marc : |
LEADER 00831naa a2200217 a 4500 001 1009448 005 2014-02-22 008 2012 bl uuuu u00u1 u #d 100 1 $aRUBIO, L. 245 $aContribuciones para mejorar la calidad sanitaria de la fruta cítrica. Avances de investigación en control de mancha marrón de Alternaria 260 $c2012 300 $ap.1-14 490 $a(INIA Serie Actividades de Difusión; 688) 650 $aALTERNARIA ALTERNATA 650 $aCITRUS 650 $aCONTROL DE ENFERMEDADES DE PLANTAS 650 $aENFERMEDADES DE LAS PLANTAS 650 $aFUNGICIDAS 650 $aPROTECCIÓN DE LAS PLANTAS 700 1 $aPÉREZ, E. 773 $tln: Rubio, L.; Pérez, E.; Buenahora, J.; Otero, A. Resultados de avances en investigación en protección vegetal citrícola. Salto (Uruguay): INIA, 2012.
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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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