PastorC-Tambo: a simplified model to assess carbon balance of dairy farms
Grazing systems have the potential to mitigate greenhouse gas (GHG) emissions and improve C balance through soil C sequestration. The inclusion of soil organic carbon (SOC) balance in farm scale models is needed to assess the C balance of grazing dairy systems. The objective of this work was to pres...
| Main Authors: | , , , , |
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| Format: | Artículo |
| Language: | Inglés |
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Ediciones INTA
2024
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| Online Access: | http://hdl.handle.net/20.500.12123/16650 https://doi.org/10.58149/snd3-9s20 |
| _version_ | 1855485815495327744 |
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| author | Zurbriggen, Gabriel Alberto Piazza, A.M. Montico, Sergio Garcia, Karina Elizabet Galli, Julio Ricardo |
| author_browse | Galli, Julio Ricardo Garcia, Karina Elizabet Montico, Sergio Piazza, A.M. Zurbriggen, Gabriel Alberto |
| author_facet | Zurbriggen, Gabriel Alberto Piazza, A.M. Montico, Sergio Garcia, Karina Elizabet Galli, Julio Ricardo |
| author_sort | Zurbriggen, Gabriel Alberto |
| collection | INTA Digital |
| description | Grazing systems have the potential to mitigate greenhouse gas (GHG) emissions and improve C balance through soil C sequestration. The inclusion of soil organic carbon (SOC) balance in farm scale models is needed to assess the C balance of grazing dairy systems. The objective of this work was to present and evaluate the sensitivity of a simplified model developed to estimate C balance of dairy production systems in the Pampas region of Argentina. The model, called PastorC-Tambo, combines three interrelated sub-models: a sub-model of dry matter intake (DMI), a sub-model of GHG emissions, and a sub-model of SOC balance. To assess the sensitivity of the model, different forage productivities (high: 18, 7.5, and 27 t DM/ha, medium: 12, 5 and 18 t DM/ha, and low: 6, 2.5, and 9 t DM/ha for alfalfa, oat, and maize silage, respectively), concentrate supplementation levels (350, 250, and 150 g/l milk for high, medium, and low, respectively), stocking rates (from 0.27 to 3.56 cows/ha, with use efficiencies of 25, 45, 65, and 85%), effluent treatment system, and milking time, were simulated for representative dairy production systems. C balance estimates ranged between -2.54 and 0.64 t C/ha. Balance improved with the rise in forage productivity and declined as stocking rates increased. Increased concentrate supplementation improved C balance at constant forage productivity and stocking rate. Effluent treatment systems also affected C balance. Storage in anaerobic lagoons had the lowest C balance, while the inclusion of solids separation and agronomic reuse improved it. Anaerobic digestion also increased the C balance compared to anaerobic lagoons. PastorC-Tambo proved to be sensitive to changes in the C balance of commercial dairy farms in the Pampas region of Argentina. |
| format | Artículo |
| id | INTA16650 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Ediciones INTA |
| publisherStr | Ediciones INTA |
| record_format | dspace |
| spelling | INTA166502024-02-16T13:02:14Z PastorC-Tambo: a simplified model to assess carbon balance of dairy farms Zurbriggen, Gabriel Alberto Piazza, A.M. Montico, Sergio Garcia, Karina Elizabet Galli, Julio Ricardo Granjas Lecheras Pastoreo Impacto Ambiental Carbono Sostenibilidad Emisiones de Gases de Efecto Invernadero Secuestro de Carbono Dairy Farms Grazing Environmental Impact Carbon Sustainability Greenhouse Gas Emissions Carbon Sequestration Tambos Grazing systems have the potential to mitigate greenhouse gas (GHG) emissions and improve C balance through soil C sequestration. The inclusion of soil organic carbon (SOC) balance in farm scale models is needed to assess the C balance of grazing dairy systems. The objective of this work was to present and evaluate the sensitivity of a simplified model developed to estimate C balance of dairy production systems in the Pampas region of Argentina. The model, called PastorC-Tambo, combines three interrelated sub-models: a sub-model of dry matter intake (DMI), a sub-model of GHG emissions, and a sub-model of SOC balance. To assess the sensitivity of the model, different forage productivities (high: 18, 7.5, and 27 t DM/ha, medium: 12, 5 and 18 t DM/ha, and low: 6, 2.5, and 9 t DM/ha for alfalfa, oat, and maize silage, respectively), concentrate supplementation levels (350, 250, and 150 g/l milk for high, medium, and low, respectively), stocking rates (from 0.27 to 3.56 cows/ha, with use efficiencies of 25, 45, 65, and 85%), effluent treatment system, and milking time, were simulated for representative dairy production systems. C balance estimates ranged between -2.54 and 0.64 t C/ha. Balance improved with the rise in forage productivity and declined as stocking rates increased. Increased concentrate supplementation improved C balance at constant forage productivity and stocking rate. Effluent treatment systems also affected C balance. Storage in anaerobic lagoons had the lowest C balance, while the inclusion of solids separation and agronomic reuse improved it. Anaerobic digestion also increased the C balance compared to anaerobic lagoons. PastorC-Tambo proved to be sensitive to changes in the C balance of commercial dairy farms in the Pampas region of Argentina. Los sistemas ganaderos pastoriles tienen el potencial de mitigar las emisiones de gases de efecto invernadero (GEI) y mejorar el balance de C mediante el secuestro de C en el suelo. La inclusión del balance de carbono orgánico del suelo (COS) en modelos de escala predial es necesaria para evaluar el balance de C de los sistemas lecheros pastoriles y de base pastoril intensificados. El objetivo de este trabajo fue presentar y evaluar la sensibilidad de un modelo simplificado desarrollado para estimar el balance de C de sistemas de producción de leche bovina de la región Pampeana. El modelo, denominado PastorC-Tambo, combina tres submodelos interrelacionados: un submodelo de consumo de materia seca (CMS), un submodelo de emisiones de GEI y un submodelo de balance de COS. Para evaluar la sensibilidad del modelo se simularon diferentes productividades del forraje (alta: 18, 7,5 y 27 t MS/ha, media: 12, 5 y 18 t MS/ha, y baja: 6, 2,5 y 9 t MS/ha, para alfalfa, avena y ensilaje de maíz, respectivamente), niveles de suplementación con concentrado (350, 250 y 150 g/l de leche para alto, medio y bajo, respectivamente), carga animal (entre 0,27 y 3,56 vacas/ha, simulando eficiencias de aprovechamiento en pastoreo de 25, 45, 65 y 85%), sistemas de tratamiento de efluentes y tiempos de ordeño para un sistema lechero representativo de la región. Las estimaciones del balance de C variaron entre -2,54 y 0,64 t C/ha. El balance mejoró con el aumento de la productividad del forraje y disminuyó a medida que aumentó la carga animal. A productividad del forraje y carga animal constantes, el aumento en el nivel de suplementación con concentrado mejoró el balance de C. Los sistemas de tratamiento de efluentes también tuvieron efecto sobre el balance de C. El almacenaje de efluentes en lagunas anaeróbicas presentó el balance de C más desfavorable, mientras que mejoró con la inclusión de separación de sólidos y reutilización agronómica. La digestión anaeróbica para la producción de biogás también mejoró el balance de C en comparación con las lagunas anaeróbicas. PastorC-Tambo demostró ser un modelo sensible para evaluar el balance de C en sistemas comerciales de producción de leche bovina de la región Pampeana. EEA Barrow Fil: Zurbriggen, Guillermo Alberto. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina Fil: Piazza, A. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Agronomía; Argentina Fil: Montico, Sergio. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina Fil: Montico, Sergio. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina Fil: García, Karina Elizabet. Instituto Nacional de Tecnología Agropecuaria (INTA). Chacra Experimental Integrada Barrow; Argentina Fil: Galli, Julio Ricardo. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina Fil: Galli, Julio Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina 2024-02-16T12:59:33Z 2024-02-16T12:59:33Z 2023-12 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/16650 0325-8718 1669-2314 https://doi.org/10.58149/snd3-9s20 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Ediciones INTA RIA 49 (3) : 93-102. (diciembre 2023) |
| spellingShingle | Granjas Lecheras Pastoreo Impacto Ambiental Carbono Sostenibilidad Emisiones de Gases de Efecto Invernadero Secuestro de Carbono Dairy Farms Grazing Environmental Impact Carbon Sustainability Greenhouse Gas Emissions Carbon Sequestration Tambos Zurbriggen, Gabriel Alberto Piazza, A.M. Montico, Sergio Garcia, Karina Elizabet Galli, Julio Ricardo PastorC-Tambo: a simplified model to assess carbon balance of dairy farms |
| title | PastorC-Tambo: a simplified model to assess carbon balance of dairy farms |
| title_full | PastorC-Tambo: a simplified model to assess carbon balance of dairy farms |
| title_fullStr | PastorC-Tambo: a simplified model to assess carbon balance of dairy farms |
| title_full_unstemmed | PastorC-Tambo: a simplified model to assess carbon balance of dairy farms |
| title_short | PastorC-Tambo: a simplified model to assess carbon balance of dairy farms |
| title_sort | pastorc tambo a simplified model to assess carbon balance of dairy farms |
| topic | Granjas Lecheras Pastoreo Impacto Ambiental Carbono Sostenibilidad Emisiones de Gases de Efecto Invernadero Secuestro de Carbono Dairy Farms Grazing Environmental Impact Carbon Sustainability Greenhouse Gas Emissions Carbon Sequestration Tambos |
| url | http://hdl.handle.net/20.500.12123/16650 https://doi.org/10.58149/snd3-9s20 |
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