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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
12/07/2023 |
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Actualizado : |
12/07/2023 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
CABOT, M.I.; LADO, J.; BAUTISTA, I.; RIBAL, J.; SANJUÁN, N. |
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Afiliación : |
MARÍA INÉS CABOT, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Grup ASPA, Departament de Tecnologia d’Aliments, Edifici 3F, Universitat Politècnica de València, Camí de Vera S/N, València, 46022, Spain; JOANNA LADO LINDNER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; INMACULADA BAUTISTA, Research Group in Forest Science and Technology (Re-ForeST), Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, Camí de Vera s/n, València, 46022, Spain; JAVIER RIBAL, Departament d’Economia i Ciències Socials, Edifici 3P, Universitat Politècnica de València, Camí de Vera s/n, València, 46022, Spain; NEUS SANJUÁN, Grup ASPA, Departament de Tecnologia d’Aliments, Edifici 3F, Universitat Politècnica de València, Camí de Vera S/N, València, 46022, Spain. |
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Título : |
On the relevance of site specificity and temporal variability in agricultural LCA: a case study on mandarin in North Uruguay. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
International Journal of Life Cycle Assessment. 2023, https://doi.org/10.1007/s11367-023-02186-6 -- OPEN ACCESS. [Article in Press] |
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DOI : |
10.1007/s11367-023-02186-6 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 29 December 2022; Accepted 15 May 2023; Published 19 June 2023. -- Correspondence author: Cabot, M.I.; Grup ASPA, Departament de Tecnologia d?Aliments, Edifici 3F, Universitat Politècnica de València, Camí de Vera S/N, València, Spain; email:macalu7@upv.edu.es -- Communicated by Sergiy Smetana. -- |
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Contenido : |
Purpose: Mandarin is a relevant citrus crop in Uruguay both in terms of yield and area. This study is aimed at assessing the environmental impacts of mandarin cultivation in the country to identify the environmental hotspots. Temporal variability is assessed by considering six harvest seasons and site specificity by developing a regionalized inventory using a Tier 3 to estimate nitrogen on-field emissions. Also, the effect of regionalizing specific impact categories is analyzed. Methods: A cradle-to-farm gate assessment was carried out based on mass and area functional units. Primary data was gathered from a representative orchard of the region for the seasons 2016 to 2022. Nitrogen on-field emissions were modeled using LEACHN, a Tier 3 model that considers site-specific climatic and soil parameters as well as water and fertilizer applications at a daily scale. In addition, other modeling approaches were tested following the Environmental Product Declarations (EPD), Product Environmental Footprint (PEF), World Food LCA Database guidelines (WFLDB), and the updated IPCC and EMEP/EEA guidelines. The EN 15804 + A2 standard was followed to assess the environmental impacts, except for the categories concerning acidification, where IMPACT 2002 + v2.1 was used. In addition, to analyze the variations in the results when regionalizing impacts of on-field emissions, IMPACT World + was used. Results: The main hotspots detected are on-field emissions, machinery operations, pesticides, and fertilizer production. Irrigation is the main hotspot in blue water scarcity. As for the models tested to estimate nitrogen emissions, significant differences were detected in marine eutrophication between LEACHN and WFLDB, regardless of the functional unit, and in terrestrial acidification, terrestrial eutrophication, and aquatic acidification per ha between LEACHN and PEF. Significant reductions in the results were observed by regionalizing the environmental impacts caused by the on-field emissions. Conclusions: The development of site-specific inventories and impact assessment methods with spatial resolution is encouraged, although more research is needed to draw general conclusions about the convenience of mechanistic models to estimate nitrogen emissions in Uruguayan citriculture. The high variation coefficients obtained reaffirm the importance of considering temporal variability. Moreover, the relevance of considering different functional units is highlighted since different influencing variables are observed throughout the seasons depending on the functional unit used. © 2023, The Author(s). MenosPurpose: Mandarin is a relevant citrus crop in Uruguay both in terms of yield and area. This study is aimed at assessing the environmental impacts of mandarin cultivation in the country to identify the environmental hotspots. Temporal variability is assessed by considering six harvest seasons and site specificity by developing a regionalized inventory using a Tier 3 to estimate nitrogen on-field emissions. Also, the effect of regionalizing specific impact categories is analyzed. Methods: A cradle-to-farm gate assessment was carried out based on mass and area functional units. Primary data was gathered from a representative orchard of the region for the seasons 2016 to 2022. Nitrogen on-field emissions were modeled using LEACHN, a Tier 3 model that considers site-specific climatic and soil parameters as well as water and fertilizer applications at a daily scale. In addition, other modeling approaches were tested following the Environmental Product Declarations (EPD), Product Environmental Footprint (PEF), World Food LCA Database guidelines (WFLDB), and the updated IPCC and EMEP/EEA guidelines. The EN 15804 + A2 standard was followed to assess the environmental impacts, except for the categories concerning acidification, where IMPACT 2002 + v2.1 was used. In addition, to analyze the variations in the results when regionalizing impacts of on-field emissions, IMPACT World + was used. Results: The main hotspots detected are on-field emissions, machinery operations, pesticides, an... Presentar Todo |
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Palabras claves : |
Citrus fruit; Environmental impacts; Inter-seasonal variability; Life cycle assessment; On-field emissions modeling; Regionalized impacts. |
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Asunto categoría : |
-- |
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URL : |
https://link.springer.com/content/pdf/10.1007/s11367-023-02186-6.pdf
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Marc : |
LEADER 03852naa a2200265 a 4500
001 1064250
005 2023-07-12
008 2023 bl uuuu u00u1 u #d
024 7 $a10.1007/s11367-023-02186-6$2DOI
100 1 $aCABOT, M.I.
245 $aOn the relevance of site specificity and temporal variability in agricultural LCA$ba case study on mandarin in North Uruguay.$h[electronic resource]
260 $c2023
500 $aArticle history: Received 29 December 2022; Accepted 15 May 2023; Published 19 June 2023. -- Correspondence author: Cabot, M.I.; Grup ASPA, Departament de Tecnologia d?Aliments, Edifici 3F, Universitat Politècnica de València, Camí de Vera S/N, València, Spain; email:macalu7@upv.edu.es -- Communicated by Sergiy Smetana. --
520 $aPurpose: Mandarin is a relevant citrus crop in Uruguay both in terms of yield and area. This study is aimed at assessing the environmental impacts of mandarin cultivation in the country to identify the environmental hotspots. Temporal variability is assessed by considering six harvest seasons and site specificity by developing a regionalized inventory using a Tier 3 to estimate nitrogen on-field emissions. Also, the effect of regionalizing specific impact categories is analyzed. Methods: A cradle-to-farm gate assessment was carried out based on mass and area functional units. Primary data was gathered from a representative orchard of the region for the seasons 2016 to 2022. Nitrogen on-field emissions were modeled using LEACHN, a Tier 3 model that considers site-specific climatic and soil parameters as well as water and fertilizer applications at a daily scale. In addition, other modeling approaches were tested following the Environmental Product Declarations (EPD), Product Environmental Footprint (PEF), World Food LCA Database guidelines (WFLDB), and the updated IPCC and EMEP/EEA guidelines. The EN 15804 + A2 standard was followed to assess the environmental impacts, except for the categories concerning acidification, where IMPACT 2002 + v2.1 was used. In addition, to analyze the variations in the results when regionalizing impacts of on-field emissions, IMPACT World + was used. Results: The main hotspots detected are on-field emissions, machinery operations, pesticides, and fertilizer production. Irrigation is the main hotspot in blue water scarcity. As for the models tested to estimate nitrogen emissions, significant differences were detected in marine eutrophication between LEACHN and WFLDB, regardless of the functional unit, and in terrestrial acidification, terrestrial eutrophication, and aquatic acidification per ha between LEACHN and PEF. Significant reductions in the results were observed by regionalizing the environmental impacts caused by the on-field emissions. Conclusions: The development of site-specific inventories and impact assessment methods with spatial resolution is encouraged, although more research is needed to draw general conclusions about the convenience of mechanistic models to estimate nitrogen emissions in Uruguayan citriculture. The high variation coefficients obtained reaffirm the importance of considering temporal variability. Moreover, the relevance of considering different functional units is highlighted since different influencing variables are observed throughout the seasons depending on the functional unit used. © 2023, The Author(s).
653 $aCitrus fruit
653 $aEnvironmental impacts
653 $aInter-seasonal variability
653 $aLife cycle assessment
653 $aOn-field emissions modeling
653 $aRegionalized impacts
700 1 $aLADO, J.
700 1 $aBAUTISTA, I.
700 1 $aRIBAL, J.
700 1 $aSANJUÁN, N.
773 $tInternational Journal of Life Cycle Assessment. 2023, https://doi.org/10.1007/s11367-023-02186-6 -- OPEN ACCESS. [Article in Press]
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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. |
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Fecha actual : |
25/05/2023 |
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Actualizado : |
25/05/2023 |
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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 : |
GARAYCOCHEA, S.; ALTIER, N.; LEONI, C.; NEAL, A.L.; ROMERO, H. |
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Afiliación : |
SILVIA RAQUEL GARAYCOCHEA SOLSONA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; NORA ADRIANA ALTIER MANZINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAROLINA LEONI VELAZCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDREW L. NEAL, Net-Zero and Resilient Farming, Rothamsted Research, North Wyke, Okehampton, United Kingdom; HÉCTOR ROMERO, Laboratorio de Organización y Evolución del Genoma/Genómica Evolutiva, Departamento de Ecolog??a y Evolución, Facultad de Ciencias/CURE, Universidad de la República, Maldonado, Uruguay. |
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Título : |
Abundance and phylogenetic distribution of eight key enzymes of the phosphorus biogeochemical cycle in grassland soils. |
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Complemento del título : |
Research article. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Environmental Microbiology Reports, 2023. https://doi.org/10.1111/1758-2229.13159 --OPEN ACCESS. [Article in Press] |
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ISSN : |
1758-2229 |
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DOI : |
10.1111/1758-2229.13159 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 28 December 2022; Accepted 12 April 2023. -- Correspondence: Héctor Romero, Laboratorio de Organización y Evolución del Genoma/Genómica Evolutiva, Departamento de Ecología y Evolución, Facultad de Ciencias/CURE, Universidad de la República, Maldonado, Uruguay. Email: eletor@fcien.edu.uy ; Silvia Garaycochea, Instituto Nacional de Investigacion Agropecuaria (INIA), Estación Experimental INIA Las Brujas, Ruta 48 Km 10, Canelones, 90200, Uruguay. Email: sgaraycochea@inia.org.uy -- Funding: This work was funded by the Instituto Nacional de Investigación Agropecuaria, INIA (Project SA47, SA 26 and SA 24), Agencia Nacional de Investigación e Innovación (POS NAC 2015 1 110075). -- License: This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ ) -- Supporting information: Additional supporting information can be found online
in the Supporting Information section at the end of this article. |
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Contenido : |
Grassland biomes provide valuable ecosystem services, including nutrient cycling. Organic phosphorus (Po) represents more than half of the total P in soils. Soil microorganisms release organic P through enzymatic processes, with alkaline phosphatases, acid phosphatases and phytases being the key P enzymes involved in the cycling of organic P. This study analysed 74 soil metagenomes from 17 different grassland biomes worldwide to evaluate the distribution and abundance of eight key P enzymes (PhoD, PhoX, PhoA, Nsap-A, Nsap-B, Nsap-C, BPP and CPhy) and their relationship with environmental factors. Our analyses showed that alkaline phosphatase phoD was the dataset's most abundant P-enzyme encoding genes, with a wide phylogenetic distribution. Followed by the acid phosphatases Nsap-A and Nsap-C showed similar abundance but a different distribution in their respective phylogenetic trees. Multivariate analyses revealed that pH, Tmax, SOC and soil moisture were associated with the abundance and diversity of all genes studied. PhoD and phoX genes strongly correlated with SOC and clay, and the phoX gene was more common in soils with low to medium SOC and neutral pH. In particular, P-enzyme genes tended to respond in a positively correlated manner among them, suggesting a complex relationship of abundance and diversity among them. © 2023 The Authors. Environmental Microbiology Reports published by Applied Microbiology International and John Wiley & Sons Ltd. |
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Palabras claves : |
Biomass; Biomes; Ecosystem; Grasslands; Statistical analyses. |
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Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
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URL : |
https://ami-journals.onlinelibrary.wiley.com/doi/pdf/10.1111/1758-2229.13159
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Marc : |
LEADER 03302naa a2200265 a 4500
001 1064166
005 2023-05-25
008 2023 bl uuuu u00u1 u #d
022 $a1758-2229
024 7 $a10.1111/1758-2229.13159$2DOI
100 1 $aGARAYCOCHEA, S.
245 $aAbundance and phylogenetic distribution of eight key enzymes of the phosphorus biogeochemical cycle in grassland soils.$h[electronic resource]
260 $c2023
500 $aArticle history: Received 28 December 2022; Accepted 12 April 2023. -- Correspondence: Héctor Romero, Laboratorio de Organización y Evolución del Genoma/Genómica Evolutiva, Departamento de Ecología y Evolución, Facultad de Ciencias/CURE, Universidad de la República, Maldonado, Uruguay. Email: eletor@fcien.edu.uy ; Silvia Garaycochea, Instituto Nacional de Investigacion Agropecuaria (INIA), Estación Experimental INIA Las Brujas, Ruta 48 Km 10, Canelones, 90200, Uruguay. Email: sgaraycochea@inia.org.uy -- Funding: This work was funded by the Instituto Nacional de Investigación Agropecuaria, INIA (Project SA47, SA 26 and SA 24), Agencia Nacional de Investigación e Innovación (POS NAC 2015 1 110075). -- License: This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ ) -- Supporting information: Additional supporting information can be found online in the Supporting Information section at the end of this article.
520 $aGrassland biomes provide valuable ecosystem services, including nutrient cycling. Organic phosphorus (Po) represents more than half of the total P in soils. Soil microorganisms release organic P through enzymatic processes, with alkaline phosphatases, acid phosphatases and phytases being the key P enzymes involved in the cycling of organic P. This study analysed 74 soil metagenomes from 17 different grassland biomes worldwide to evaluate the distribution and abundance of eight key P enzymes (PhoD, PhoX, PhoA, Nsap-A, Nsap-B, Nsap-C, BPP and CPhy) and their relationship with environmental factors. Our analyses showed that alkaline phosphatase phoD was the dataset's most abundant P-enzyme encoding genes, with a wide phylogenetic distribution. Followed by the acid phosphatases Nsap-A and Nsap-C showed similar abundance but a different distribution in their respective phylogenetic trees. Multivariate analyses revealed that pH, Tmax, SOC and soil moisture were associated with the abundance and diversity of all genes studied. PhoD and phoX genes strongly correlated with SOC and clay, and the phoX gene was more common in soils with low to medium SOC and neutral pH. In particular, P-enzyme genes tended to respond in a positively correlated manner among them, suggesting a complex relationship of abundance and diversity among them. © 2023 The Authors. Environmental Microbiology Reports published by Applied Microbiology International and John Wiley & Sons Ltd.
653 $aBiomass
653 $aBiomes
653 $aEcosystem
653 $aGrasslands
653 $aStatistical analyses
700 1 $aALTIER, N.
700 1 $aLEONI, C.
700 1 $aNEAL, A.L.
700 1 $aROMERO, H.
773 $tEnvironmental Microbiology Reports, 2023. https://doi.org/10.1111/1758-2229.13159 --OPEN ACCESS. [Article in Press]
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