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| 43. | | PÉREZ, N.; NIELL, S.; JESÚS, F.; PÉREZ, C.; CARRASCO-LETELIER, L.; MENDOZA, Y.; DÍAZ-CETTI, S. Caracterización acústica de la colmena para la detección temprana de contaminación por agroquímicos: nota técnica. Cangüé, 2. época, n. 35, p. 2-6, 2014.| Biblioteca(s): INIA La Estanzuela. |
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| 45. | | BUSTAMANTE-SILVEIRA, M.; SIRI-PRIETO, G.; MAZZILLI, S.; CARRASCO-LETELIER, L. Carbon footprint of four bioethanol cropping systems in a temperate region. (Research Article). Biofuels. 2024. https://doi.org/10.1080/17597269.2024.2327154 Article history: Received 05 November 2023, Accepted 01 March 2024, Published online 18 March 2024. -- Correspondence:
Leonidas Carrasco-Letelier, Email: lcarrasco@inia.org.uy , Natural Resources, Production and Environment, Experimental...| Biblioteca(s): INIA Las Brujas. |
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| 48. | | SANTOS, E.; MENDOZA, Y.; VERA, M.; CARRASCO-LETELIER, L.; DIAZ, S.; INVERNIZZI, C. Aumento en la producción de semillas de soja (Glycine max) empleando abejas melíferas (Apis mellifera). (Increase in soybean (Glycine max) production using honey bees (Apis mellifera). Agrociencia (Montevideo), 2013, v. 17, n.1., p. 81-90. Article History: Recibido: 10/5/12 Aceptado: 8/3/13.| Biblioteca(s): INIA La Estanzuela. |
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| 51. | | VALENZUELA MARTÍNEZ, S.; TORRES-DINI, D.; CARRASCO-LETELIER, L.; NAYA, H. Estudio metagenómico en suelos forestados por Eucalyptus. In: JORNADAS DE LA SOCIEDAD URUGUAYA DE BIOCIENCIAS, 14., 2012, Piriápolis, Maldonado, UY. Montevideo: SUB, 2012.| Biblioteca(s): INIA La Estanzuela. |
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| 52. | | ZARZA, R.; CAL, A.; FORMOSO, D.; MEDINA, S.; REY, D.; CARRASCO-LETELIER, L. First delimitation and land-use assessment of the riparian zones at Uruguayan Pampa. Ecological Informatics, November 2022, Volume 71, 101781. doi: https://doi.org/10.1016/j.ecoinf.2022.101781 Article history: Received 4 May 2022, Revised 16 July 2022; Accepted 17 August 2022; Available online 25 August 2022; Version of Record 7 September 2022.
Supplementary data to this article can be found online at...| Biblioteca(s): INIA La Estanzuela. |
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| 53. | | HARRIET, J.; COLL, F.; MARTÍNEZ, A.; TERMEZANA, A.; CARRASCO-LETELIER, L.; MENDOZA, Y. Los fitosanitarios y la apicultura: [ecotoxicología]. Revista del Plan Agropecuario, n. 146, p. 56-58, junio 2013. Publicado originalmente en Revista INIA Uruguay, n. 32, p. 17-19, marzo 2013, luego en Actualidad Apícola, n. 96, p. 42-43, mayo 2013.| Biblioteca(s): INIA La Estanzuela. |
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| 55. | | HARRIET, J.; COLL, F.; MARTÍNEZ, A.; TERMEZANA, A.; CARRASCO-LETELIER, L.; MENDOZA, Y. Los fitosanitarios y la apicultura: [riesgos de accidente apícola]. Actualidad Apícola, n. 96, p. 42-43, 2013. Publicado originalmente en Revista INIA Uruguay, n. 32, p. 17-19, marzo 2013.| Biblioteca(s): INIA La Estanzuela. |
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| 59. | | MACEDO, I.; TERRA, J.A.; SIRI-PRIETO, G.; VELAZCO, J.I.; CARRASCO-LETELIER, L. La intensificación del agrosistema arroz pastura afecta la eficiencia de uso de la energía. In: Terra, J. A.; Martínez, S.; Saravia, H.; Mesones, B.; Álvarez, O. (Eds.) Arroz 2020. Montevideo (UY): INIA, 2020. p. 105-108. (INIA Serie Técnica; 257)| Biblioteca(s): INIA Treinta y Tres. |
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| 60. | | MACEDO, I.; CARRASCO-LETELIER, L.; VELAZCO, J.I.; SIRI-PRIETO, G.; TERRA, J.A. Intensification alternatives to rice-pasture systems: energy use efficiency. [Abstract] + [Poster]. In: International Temperate Rice Conference (7., 2020, Pelotas, RS), Science & Innovation: feeding a world of 10 billion people: proceedings. Pelotas RS, Brasil, February 9-12, 2020. Brasília, DF : Embrapa, 2020.| Biblioteca(s): INIA Treinta y Tres. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
21/06/2023 |
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Actualizado : |
21/06/2023 |
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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 : |
BUSTAMANTE-SILVEIRA, M.; SIRI-PRIETO, G.; MAZZILLI, R.; CARRASCO-LETELIER, L. |
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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. |
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Título : |
Carbon footprint of four bioethanol cropping systems in a temperate region. [preprint article]. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Available at SSRN: https://ssrn.com/abstract=4484823 or http://dx.doi.org/10.2139/ssrn.4484823 |
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Páginas : |
46 p. |
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DOI : |
10.2139/ssrn.4484823 |
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Idioma : |
Inglés |
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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 . -- |
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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 |
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Palabras claves : |
Biofuel; Greenhouse Gas Emissions; Life Cycle Assessment; SOC; Soil erosion. |
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Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
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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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