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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
08/09/2023 |
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Actualizado : |
08/09/2023 |
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Tipo de producción científica : |
Poster |
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Autor : |
DINI, M.; PISANO, J.; SORIA, J. |
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Afiliación : |
MAXIMILIANO ANTONIO DINI VIÑOLY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JULIO CESAR PISANO CARBAJAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JORGE RAUL SORIA BARAIBAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Cultivar de duraznero INIA Santa Lucía. [poster P33 M4). |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
In: Curzel, V.; Paredes, M. A. (Comps.). Encuentro Latinoamericano Prunus sin Fronteras, 9: libro de resúmenes. 12 al 14 octubre 2022, Jujuy (Argentina). San Salvador de Jujuy : Universidad Nacional de Jujuy. Facultad de Ciencias Agrarias, 2023. p.119. |
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Idioma : |
Español |
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Contenido : |
En el año 2011, en INIA Las Brujas se instaló una progenie a campo de 161 plantas, originada por el cruzamiento entre Fayette × Rich Lady. Luego de tres zafras de evaluación a campo (2013, 2014 y 2015), fue seleccionada una planta bajo el código INIA 11.08-74, que reunía buenas características
de adaptación a inviernos con baja acumulación de frío, calidad de fruto, y baja susceptibilidad a bacteriosis y podredumbre morena. |
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Palabras claves : |
Cosecha de enero; Cultivar INIA; Nuevo cultivar de duraznero; Prunus persica (L) Bastch. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/17338/1/Dini-M.-P33-M4-IX-Encuentro-Latinoamericano-Prunus-Sin-Frontera-2023.pdf
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Marc : |
LEADER 01176nam a2200181 a 4500
001 1064308
005 2023-09-08
008 2023 bl uuuu u01u1 u #d
100 1 $aDINI, M.
245 $aCultivar de duraznero INIA Santa Lucía. [poster P33 M4).$h[electronic resource]
260 $aIn: Curzel, V.; Paredes, M. A. (Comps.). Encuentro Latinoamericano Prunus sin Fronteras, 9: libro de resúmenes. 12 al 14 octubre 2022, Jujuy (Argentina). San Salvador de Jujuy : Universidad Nacional de Jujuy. Facultad de Ciencias Agrarias, 2023. p.119.$c2023
520 $aEn el año 2011, en INIA Las Brujas se instaló una progenie a campo de 161 plantas, originada por el cruzamiento entre Fayette × Rich Lady. Luego de tres zafras de evaluación a campo (2013, 2014 y 2015), fue seleccionada una planta bajo el código INIA 11.08-74, que reunía buenas características de adaptación a inviernos con baja acumulación de frío, calidad de fruto, y baja susceptibilidad a bacteriosis y podredumbre morena.
653 $aCosecha de enero
653 $aCultivar INIA
653 $aNuevo cultivar de duraznero
653 $aPrunus persica (L) Bastch
700 1 $aPISANO, J.
700 1 $aSORIA, J.
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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 : |
20/06/2023 |
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Actualizado : |
20/07/2023 |
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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 : |
BALDASSINI, P.; BAETHGEN, W.; CAMBA SANS, G.; QUINCKE, A.; PRAVIA, V.; TERRA, J.A.; MACEDO, F.; PIÑEIRO, G.; PARUELO, J. |
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Afiliación : |
PABLO BALDASSINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Departamento de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Argentina; WALTER E. BAETHGEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; International Research Institute for Climate and Society (IRI), Columbia Climate School, Columbia University, United States; GONZALO HERNÁN CAMBA SANS, Departamento de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Argentina; JUAN ANDRES QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA VIRGINIA PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO LIBER MACEDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GERVASIO PIÑEIRO, Cátedra de Ecología, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Argentina; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Dpto. Métodos Cuantitativos y Sistemas de Información, Fac. Agronomía, LART IFEVA, Univ. Bs.As., CONICET, Bs.As. Argentina; IECA, Fac. Ciencias, IECA, UdelaR, Montevideo, Uruguay. |
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Título : |
Carbon stocks and potential sequestration of Uruguayan soils. A road map to a comprehensive characterization of temporal and spatial changes to assess Carbon footprint. |
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Complemento del título : |
Original research. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Frontiers in Sustainable Food Systems. 2023, Volume 7. https://doi.org/10.3389/fsufs.2023.1045734 |
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DOI : |
10.3389/fsufs.2023.1045734 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 16 Sep 2022; Accepted 25 May 2023; Published 20 July 2023. -- Correspondence: Dr. Pablo Baldassini, Instituto Nacional de Investigación Agropecuaria, INIA La Estanzuela, Colonia, Uruguay. -- Edited by: Bruno José Rodrigues Alves, Brazilian Agricultural Research Corporation (EMBRAPA), Brazil. --
Reviewed by: Gerald Moser, University of Giessen; Germany Ernesto Viglizzo, Independent researcher, Santa Rosa, La Pampa, Argentina. --
This article is part of the Research Topic Finding Paths to Net-Zero Carbon in Climate-Smart Food Systems (https://www.frontiersin.org/research-topics/29787/finding-paths-to-net-zero-carbon-in-climate-smart-food-systems#articles ). -- FUNDING: This research was supported by agrant from ANII-CONICETIA_2021_4_04. -- License: This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). -- Supplementary material: The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fsufs.2023.1045734/full#supplementary-material |
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Contenido : |
Carbon net emission is a critical aspect of the environmental footprint in agricultural systems. However, the alternatives to describe soil organic carbon (SOC) changes associated with different agricultural management practices/land uses are limited. Here we provide an overview of carbon (C) stocks of non-forested areas of Uruguay to estimate SOC changes for different soil units affected by accumulated effects of crop and livestock production systems in the last decades. For this, we defined levels based on SOC losses relative to the original (reference) SOC stocks: 25% or less, between 25% and 50%, and 50% or more. We characterized the reference SOC stocks using three approaches: (1) an equation to derive the potential SOC capacity based on the clay and fine silt soil content, (2) the DayCent model to estimate the SOC stocks based on climate, soil texture and C inputs from the natural grasslands of the area, (3) an estimate of SOC using a proxy derived from remote sensing data (i.e., the Ecosystem Services Supply Index) that accounts for differences in C inputs. Depending on the used reference SOC, the soil units had different distributions of SOC losses within the zones defined by the thresholds. As expected, the magnitude of SOC changes observed for the different soil units was related to the relative frequency of annual crops, however, the high variability observed along the gradient of land uses suggests a wide space for increasing SOC with agricultural management practices. The assessment of the C stock preserved (CSP) belowground and the potential for increasing C accumulation or sequestration (CAP) are critical components of the C footprint of a given system. Thus, we propose a methodological road map to derive indicators of CSP and CAP at the farm level combining both, biogeochemical simulation models and conceptual models based on remote sensing data. We recognize at least three critical issues that require scientific and political consensus to implement the use of this propose: (1) how to define reference C stocks, (2) how to estimate current C stocks over large areas and in heterogeneous agricultural landscapes, and (3) what is a reasonable/acceptable threshold of C stocks reduction. Copyright: © 2023 Baldassini, Baethgen, Camba Sans, Quincke, Pravia, Terra, Macedo, Piñeiro and Paruelo. MenosCarbon net emission is a critical aspect of the environmental footprint in agricultural systems. However, the alternatives to describe soil organic carbon (SOC) changes associated with different agricultural management practices/land uses are limited. Here we provide an overview of carbon (C) stocks of non-forested areas of Uruguay to estimate SOC changes for different soil units affected by accumulated effects of crop and livestock production systems in the last decades. For this, we defined levels based on SOC losses relative to the original (reference) SOC stocks: 25% or less, between 25% and 50%, and 50% or more. We characterized the reference SOC stocks using three approaches: (1) an equation to derive the potential SOC capacity based on the clay and fine silt soil content, (2) the DayCent model to estimate the SOC stocks based on climate, soil texture and C inputs from the natural grasslands of the area, (3) an estimate of SOC using a proxy derived from remote sensing data (i.e., the Ecosystem Services Supply Index) that accounts for differences in C inputs. Depending on the used reference SOC, the soil units had different distributions of SOC losses within the zones defined by the thresholds. As expected, the magnitude of SOC changes observed for the different soil units was related to the relative frequency of annual crops, however, the high variability observed along the gradient of land uses suggests a wide space for increasing SOC with agricultural management prac... Presentar Todo |
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Palabras claves : |
Agricultural emissions; Carbon Sequestration; DAYCENT; Ecosystem services; Remote sensing; Soil Organic Carbon. |
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Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
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URL : |
https://www.frontiersin.org/articles/10.3389/fsufs.2023.1045734/pdf
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Marc : |
LEADER 04434naa a2200313 a 4500
001 1064201
005 2023-07-20
008 2023 bl uuuu u00u1 u #d
024 7 $a10.3389/fsufs.2023.1045734$2DOI
100 1 $aBALDASSINI, P.
245 $aCarbon stocks and potential sequestration of Uruguayan soils. A road map to a comprehensive characterization of temporal and spatial changes to assess Carbon footprint.$h[electronic resource]
260 $c2023
500 $aArticle history: Received 16 Sep 2022; Accepted 25 May 2023; Published 20 July 2023. -- Correspondence: Dr. Pablo Baldassini, Instituto Nacional de Investigación Agropecuaria, INIA La Estanzuela, Colonia, Uruguay. -- Edited by: Bruno José Rodrigues Alves, Brazilian Agricultural Research Corporation (EMBRAPA), Brazil. -- Reviewed by: Gerald Moser, University of Giessen; Germany Ernesto Viglizzo, Independent researcher, Santa Rosa, La Pampa, Argentina. -- This article is part of the Research Topic Finding Paths to Net-Zero Carbon in Climate-Smart Food Systems (https://www.frontiersin.org/research-topics/29787/finding-paths-to-net-zero-carbon-in-climate-smart-food-systems#articles ). -- FUNDING: This research was supported by agrant from ANII-CONICETIA_2021_4_04. -- License: This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). -- Supplementary material: The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fsufs.2023.1045734/full#supplementary-material
520 $aCarbon net emission is a critical aspect of the environmental footprint in agricultural systems. However, the alternatives to describe soil organic carbon (SOC) changes associated with different agricultural management practices/land uses are limited. Here we provide an overview of carbon (C) stocks of non-forested areas of Uruguay to estimate SOC changes for different soil units affected by accumulated effects of crop and livestock production systems in the last decades. For this, we defined levels based on SOC losses relative to the original (reference) SOC stocks: 25% or less, between 25% and 50%, and 50% or more. We characterized the reference SOC stocks using three approaches: (1) an equation to derive the potential SOC capacity based on the clay and fine silt soil content, (2) the DayCent model to estimate the SOC stocks based on climate, soil texture and C inputs from the natural grasslands of the area, (3) an estimate of SOC using a proxy derived from remote sensing data (i.e., the Ecosystem Services Supply Index) that accounts for differences in C inputs. Depending on the used reference SOC, the soil units had different distributions of SOC losses within the zones defined by the thresholds. As expected, the magnitude of SOC changes observed for the different soil units was related to the relative frequency of annual crops, however, the high variability observed along the gradient of land uses suggests a wide space for increasing SOC with agricultural management practices. The assessment of the C stock preserved (CSP) belowground and the potential for increasing C accumulation or sequestration (CAP) are critical components of the C footprint of a given system. Thus, we propose a methodological road map to derive indicators of CSP and CAP at the farm level combining both, biogeochemical simulation models and conceptual models based on remote sensing data. We recognize at least three critical issues that require scientific and political consensus to implement the use of this propose: (1) how to define reference C stocks, (2) how to estimate current C stocks over large areas and in heterogeneous agricultural landscapes, and (3) what is a reasonable/acceptable threshold of C stocks reduction. Copyright: © 2023 Baldassini, Baethgen, Camba Sans, Quincke, Pravia, Terra, Macedo, Piñeiro and Paruelo.
653 $aAgricultural emissions
653 $aCarbon Sequestration
653 $aDAYCENT
653 $aEcosystem services
653 $aRemote sensing
653 $aSoil Organic Carbon
700 1 $aBAETHGEN, W.
700 1 $aCAMBA SANS, G.
700 1 $aQUINCKE, A.
700 1 $aPRAVIA, V.
700 1 $aTERRA, J.A.
700 1 $aMACEDO, F.
700 1 $aPIÑEIRO, G.
700 1 $aPARUELO, J.
773 $tFrontiers in Sustainable Food Systems. 2023, Volume 7. https://doi.org/10.3389/fsufs.2023.1045734
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