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| Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
15/09/2014 |
Actualizado : |
28/05/2020 |
Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
Autor : |
TARLERA, S.; GONNET, S.; IRISARRI, P.; MENES, J.; FERNÁNDEZ, A.; PAOLINO, G.; TRAVERS, D.; DEAMBROSI, E.; Méndez-Vilas, A. (Ed.). |
Afiliación : |
ENRIQUE GERMAN DEAMBROSI CHURRUT, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
Título : |
Nitrification and denitrification associated with N2O production in a temperate N-fertilized irrigated uruguayan rice field. |
Fecha de publicación : |
2008 |
Fuente / Imprenta : |
In: Modern multidisciplinary applied microbiology: Exploiting microbes and their interactions, 2008, Reino Unido: Wiley-VCH Verlag. p.416-420 |
DOI : |
10.1002/9783527611904.ch74 |
Idioma : |
Inglés |
Contenido : |
Uruguay is the seventh largest rice exporting country in the world. Nitrogen is the single most limiting factor for rice production. Microbial soil processes, e.g. nitrification, denitrification and mineralization, influence the fate of the ?mobile? N atom. There are gaps in the understanding of key processes that govern N cycling, availability and plant acquisition in irrigated rice systems. Nitrous oxide (N2O), a greenhouse gas, is produced as a by-product during nitrification and occurs as an intermediate during denitrification. The use of fertilizers with inhibitors of nitrification has been proposed as a mitigation strategy. This study showed that less than 7% of the total N2O emission from ENTEC®-fertilized soils, containing an inhibitor of nitrification (DMPP: 3.4-dimethylpyrazolephosphate) was due to nitrification. T-RFLP amoA analysis detected the presence of Nitrosomonas and Nitrosospira genera in urea-fertilized plots. |
Palabras claves : |
NITRIFICACION. |
Thesagro : |
ARROZ. |
Asunto categoría : |
F04 Fertilización |
Marc : |
LEADER 01787naa a2200253 a 4500 001 1050256 005 2020-05-28 008 2008 bl uuuu u00u1 u #d 024 7 $a10.1002/9783527611904.ch74$2DOI 100 1 $aTARLERA, S. 245 $aNitrification and denitrification associated with N2O production in a temperate N-fertilized irrigated uruguayan rice field.$h[electronic resource] 260 $c2008 520 $aUruguay is the seventh largest rice exporting country in the world. Nitrogen is the single most limiting factor for rice production. Microbial soil processes, e.g. nitrification, denitrification and mineralization, influence the fate of the ?mobile? N atom. There are gaps in the understanding of key processes that govern N cycling, availability and plant acquisition in irrigated rice systems. Nitrous oxide (N2O), a greenhouse gas, is produced as a by-product during nitrification and occurs as an intermediate during denitrification. The use of fertilizers with inhibitors of nitrification has been proposed as a mitigation strategy. This study showed that less than 7% of the total N2O emission from ENTEC®-fertilized soils, containing an inhibitor of nitrification (DMPP: 3.4-dimethylpyrazolephosphate) was due to nitrification. T-RFLP amoA analysis detected the presence of Nitrosomonas and Nitrosospira genera in urea-fertilized plots. 650 $aARROZ 653 $aNITRIFICACION 700 1 $aGONNET, S. 700 1 $aIRISARRI, P. 700 1 $aMENES, J. 700 1 $aFERNÁNDEZ, A. 700 1 $aPAOLINO, G. 700 1 $aTRAVERS, D. 700 1 $aDEAMBROSI, E. 700 1 $aMÉNDEZ-VILAS, A. 773 $tIn: Modern multidisciplinary applied microbiology: Exploiting microbes and their interactions, 2008, Reino Unido: Wiley-VCH Verlag. p.416-420
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INIA Treinta y Tres (TT) |
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
20/03/2024 |
Actualizado : |
20/03/2024 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
BUSTAMANTE-SILVEIRA, M.; SIRI-PRIETO, G.; MAZZILLI, S.; CARRASCO-LETELIER, L. |
Afiliación : |
BUSTAMANTE-SILVEIRA, M, Estación Experimental Mario Cassinoni (EEMAC), Facultad de Agronomía, Universidad de la República, Paysandú, Uruguay; GUILLERMO SIRI-PRIETO, Estación Experimental Mario Cassinoni (EEMAC), Facultad de Agronomía, Universidad de la República, Paysandú, Uruguay; SEBASTIÁN R. MAZZILLI, Estación Experimental Mario Cassinoni (EEMAC), Facultad de Agronomía, Universidad de la República, Paysandú, Uruguay; LEONIDAS CARRASCO-LETELIER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Carbon footprint of four bioethanol cropping systems in a temperate region. (Research Article). |
Fecha de publicación : |
2024 |
Fuente / Imprenta : |
Biofuels. 2024. https://doi.org/10.1080/17597269.2024.2327154 |
DOI : |
10.1080/17597269.2024.2327154 |
Idioma : |
Inglés |
Notas : |
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 Station INIA La Estanzuela
Alberto Boerger, Route 50 km 11, 70000, Colonia, Uruguay. -- Funding: This work was supported by Universidad de la Rep�ublica, Uruguay. |
Contenido : |
ABSTRACT.- Under the EU Renewable Energy Directive (2009/28/EC), estimating biofuel GHG emissions is essential to gauge emissions reductions compared to fossil fuels. Within this framework, the carbon footprint (CF) was calculated 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. The CF varied between 0.04 and 3.68 kg CO2-eq l -1 ethanol. Switchgrass had the smallest CF and the highest ethanol yield per hectare (4,263 L [ha yr] -1). However, for annual systems, Ss had the highest CF (3.68 kg CO2-eq l -1 ethanol), 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, 60% of Sw's CF came from post-planting, and 46% from fertilizers. In Sw, soil erosion accounted for 11% 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 corresponding to 94% of the CF of this bioethanol cropping system. @ 2024 Informa UK Limited, trading as Taylor & Francis Group |
Palabras claves : |
ÁREA DE RECURSOS NATURALES, PRODUCCIÓN Y AMBIENTE - INIA; Biofuel; Greenhouse gas emissions; Life cycle assessment; SOC; Soil erosion. |
Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
Marc : |
LEADER 02572naa a2200253 a 4500 001 1064508 005 2024-03-20 008 2024 bl uuuu u00u1 u #d 024 7 $a10.1080/17597269.2024.2327154$2DOI 100 1 $aBUSTAMANTE-SILVEIRA, M. 245 $aCarbon footprint of four bioethanol cropping systems in a temperate region. (Research Article).$h[electronic resource] 260 $c2024 500 $aArticle 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 Station INIA La Estanzuela Alberto Boerger, Route 50 km 11, 70000, Colonia, Uruguay. -- Funding: This work was supported by Universidad de la Rep�ublica, Uruguay. 520 $aABSTRACT.- Under the EU Renewable Energy Directive (2009/28/EC), estimating biofuel GHG emissions is essential to gauge emissions reductions compared to fossil fuels. Within this framework, the carbon footprint (CF) was calculated 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. The CF varied between 0.04 and 3.68 kg CO2-eq l -1 ethanol. Switchgrass had the smallest CF and the highest ethanol yield per hectare (4,263 L [ha yr] -1). However, for annual systems, Ss had the highest CF (3.68 kg CO2-eq l -1 ethanol), 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, 60% of Sw's CF came from post-planting, and 46% from fertilizers. In Sw, soil erosion accounted for 11% 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 corresponding to 94% of the CF of this bioethanol cropping system. @ 2024 Informa UK Limited, trading as Taylor & Francis Group 653 $aÁREA DE RECURSOS NATURALES, PRODUCCIÓN Y AMBIENTE - INIA 653 $aBiofuel 653 $aGreenhouse gas emissions 653 $aLife cycle assessment 653 $aSOC 653 $aSoil erosion 700 1 $aSIRI-PRIETO, G. 700 1 $aMAZZILLI, S. 700 1 $aCARRASCO-LETELIER, L. 773 $tBiofuels. 2024. https://doi.org/10.1080/17597269.2024.2327154
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