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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
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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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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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
17/12/2019 |
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Actualizado : |
17/12/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Nacionales |
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Circulación / Nivel : |
Nacional - -- |
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Autor : |
MORALES-PIÑEYRUA, J. |
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Afiliación : |
JESSICA TATIANA MORALES PIÑEYRUA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Eficiencia de tres herramientas de detección de celo en vaquillonas Holando.[ Efficiency of Three Tools for Detecting Heatin Holstein Heifers]. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Agrociencia Uruguay, 2019, 23(2):1-9. http://dx.doi.org/10.31285/agro.23.84 |
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ISSN : |
e ISSN: 2301-1548 |
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DOI : |
10.31285/AGRO.23.84 |
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Idioma : |
Español |
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Notas : |
Article history: Recibido: 2017-06-19 / Aceptado: 2018-09-12. |
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Contenido : |
Resumen:
El objetivo del trabajo fue determinar la eficiencia de tres herramientas para la detección de celo en vaquillonas Holando.
Treinta y cuatro vaquillonas Holando (sincronizadas en celo con dos dosis de Prostaglandina F2?, administradas con un
intervalo de 11 días) fueron evaluadas. Se registraron todos los comportamientos de celo (COMPORTAMIENTO) y el
porcentaje de desgaste de las etiquetas detectoras de monta (PARCHE) tres veces al día, durante 30 minutos, por una
semana. Simultáneamente, la actividad de los animales fue monitoreada a través de collares que miden actividad y rumia
(COLLAR). Se extrajo una muestra de sangre de cada animal el día del celo y a los 10 días de detectado el mismo para
determinación de la concentración de progesterona sérica (prueba de oro). Se calculó la sensibilidad, especificidad,
exactitud, valor predictivo positivo y probabilidad de falsos positivos de las tres herramientas (COMPORTAMIENTO,
PARCHE y COLLAR). Los tres métodos de detección de celo presentaron una sensibilidad similar a la prueba de oro
(COMPORTAMIENTO = 96,6 %, COLLAR = 100 %, PARCHE = 83,3 %) pero la observación de comportamiento y los
collares resultaron en mayor probabilidad de falsos positivos (COMPORTAMIENTO = 12,1 %, COLLAR =12,5 %,
PARCHE = 3,8 %). Cualquiera de las tres herramientas fue eficiente en detectar vaquillonas en celo.
Summary:
The aim of this work was to determine the efficiency of three tools for heat detection in Holstein heifers. Thirty-four
Holando heifers (synchronized in heat with two doses of Prostaglandin F2?, administered with an interval of 11 days)
were evaluated. All the estrus behaviors (BEHAVIOR) and the percentage of wear of the detector tags (PATCH) were
recorded three times a day, for 30 minutes each, during a week. Simultaneously, the activity of the animals was
monitored through necklaces that measure activity and rumination (COLLAR). A blood sample was taken from each
animal on the day of the heat, and 10 days after, for the determination of serum progesterone concentration (gold
standard). Sensitivity, specificity, accuracy, positive predictive value and probability of false positives of the three
tools (BEHAVIOR, PATCH and COLLAR) were calculated. The three heat detection methods showed similar sensitivity
(BEHAVIOR = 96.6%, COLLAR = 100%, PATCH = 83.3%) with respect to the gold standard, but the probability of false
positives was greater for behavioral observation and neck collar than patch (BEHAVIOR = 12.1%, COLLAR = 12.5%,
PATCH = 3.85%). The three tools were efficient in detecting heifers in heat. MenosResumen:
El objetivo del trabajo fue determinar la eficiencia de tres herramientas para la detección de celo en vaquillonas Holando.
Treinta y cuatro vaquillonas Holando (sincronizadas en celo con dos dosis de Prostaglandina F2?, administradas con un
intervalo de 11 días) fueron evaluadas. Se registraron todos los comportamientos de celo (COMPORTAMIENTO) y el
porcentaje de desgaste de las etiquetas detectoras de monta (PARCHE) tres veces al día, durante 30 minutos, por una
semana. Simultáneamente, la actividad de los animales fue monitoreada a través de collares que miden actividad y rumia
(COLLAR). Se extrajo una muestra de sangre de cada animal el día del celo y a los 10 días de detectado el mismo para
determinación de la concentración de progesterona sérica (prueba de oro). Se calculó la sensibilidad, especificidad,
exactitud, valor predictivo positivo y probabilidad de falsos positivos de las tres herramientas (COMPORTAMIENTO,
PARCHE y COLLAR). Los tres métodos de detección de celo presentaron una sensibilidad similar a la prueba de oro
(COMPORTAMIENTO = 96,6 %, COLLAR = 100 %, PARCHE = 83,3 %) pero la observación de comportamiento y los
collares resultaron en mayor probabilidad de falsos positivos (COMPORTAMIENTO = 12,1 %, COLLAR =12,5 %,
PARCHE = 3,8 %). Cualquiera de las tres herramientas fue eficiente en detectar vaquillonas en celo.
Summary:
The aim of this work was to determine the efficiency of three tools for heat detection in Holstein heifers. Thirty-four
Holand... Presentar Todo |
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Palabras claves : |
BEHAVIOUR; BOVINOS DE LECHE; COMPORTAMIENTO; DAIRY COW; ESTRO; ESTRUS; REPRODUCCIÓN; REPRODUCTION. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13928/1/MORALES-PINEYRUA-AGROCIENCIAS-2019.pdf
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Marc : |
LEADER 03453naa a2200253 a 4500
001 1060546
005 2019-12-17
008 2019 bl uuuu u00u1 u #d
022 $ae ISSN: 2301-1548
024 7 $a10.31285/AGRO.23.84$2DOI
100 1 $aMORALES-PIÑEYRUA, J.
245 $aEficiencia de tres herramientas de detección de celo en vaquillonas Holando.[ Efficiency of Three Tools for Detecting Heatin Holstein Heifers].$h[electronic resource]
260 $c2019
500 $aArticle history: Recibido: 2017-06-19 / Aceptado: 2018-09-12.
520 $aResumen: El objetivo del trabajo fue determinar la eficiencia de tres herramientas para la detección de celo en vaquillonas Holando. Treinta y cuatro vaquillonas Holando (sincronizadas en celo con dos dosis de Prostaglandina F2?, administradas con un intervalo de 11 días) fueron evaluadas. Se registraron todos los comportamientos de celo (COMPORTAMIENTO) y el porcentaje de desgaste de las etiquetas detectoras de monta (PARCHE) tres veces al día, durante 30 minutos, por una semana. Simultáneamente, la actividad de los animales fue monitoreada a través de collares que miden actividad y rumia (COLLAR). Se extrajo una muestra de sangre de cada animal el día del celo y a los 10 días de detectado el mismo para determinación de la concentración de progesterona sérica (prueba de oro). Se calculó la sensibilidad, especificidad, exactitud, valor predictivo positivo y probabilidad de falsos positivos de las tres herramientas (COMPORTAMIENTO, PARCHE y COLLAR). Los tres métodos de detección de celo presentaron una sensibilidad similar a la prueba de oro (COMPORTAMIENTO = 96,6 %, COLLAR = 100 %, PARCHE = 83,3 %) pero la observación de comportamiento y los collares resultaron en mayor probabilidad de falsos positivos (COMPORTAMIENTO = 12,1 %, COLLAR =12,5 %, PARCHE = 3,8 %). Cualquiera de las tres herramientas fue eficiente en detectar vaquillonas en celo. Summary: The aim of this work was to determine the efficiency of three tools for heat detection in Holstein heifers. Thirty-four Holando heifers (synchronized in heat with two doses of Prostaglandin F2?, administered with an interval of 11 days) were evaluated. All the estrus behaviors (BEHAVIOR) and the percentage of wear of the detector tags (PATCH) were recorded three times a day, for 30 minutes each, during a week. Simultaneously, the activity of the animals was monitored through necklaces that measure activity and rumination (COLLAR). A blood sample was taken from each animal on the day of the heat, and 10 days after, for the determination of serum progesterone concentration (gold standard). Sensitivity, specificity, accuracy, positive predictive value and probability of false positives of the three tools (BEHAVIOR, PATCH and COLLAR) were calculated. The three heat detection methods showed similar sensitivity (BEHAVIOR = 96.6%, COLLAR = 100%, PATCH = 83.3%) with respect to the gold standard, but the probability of false positives was greater for behavioral observation and neck collar than patch (BEHAVIOR = 12.1%, COLLAR = 12.5%, PATCH = 3.85%). The three tools were efficient in detecting heifers in heat.
653 $aBEHAVIOUR
653 $aBOVINOS DE LECHE
653 $aCOMPORTAMIENTO
653 $aDAIRY COW
653 $aESTRO
653 $aESTRUS
653 $aREPRODUCCIÓN
653 $aREPRODUCTION
773 $tAgrociencia Uruguay, 2019, 23(2):1-9. http://dx.doi.org/10.31285/agro.23.84
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