Use of CLEANED to assess the productive, environmental, and economic impact of dairy farms in the Peruvian Amazon

Dairy farms in developing countries are key to fighting hunger and poverty. However, their environmental and economic impact in the tropical region of Peru has been scarcely studied. The CLEANED tool, developed by the Alliance of Bioversity International and the International Center for Tropical Agr...

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Autores principales: Oré, Linda, Romero, Gelver, Souza de Abreu, Maria H., Velarde-Guillén, José, Arango, Jacobo, Ku-Vera, Juan Carlos, Gómez, Carlos
Formato: Journal Article
Lenguaje:Inglés
Publicado: MDPI 2024
Materias:
Acceso en línea:https://hdl.handle.net/10568/159723
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author Oré, Linda
Romero, Gelver
Souza de Abreu, Maria H.
Velarde-Guillén, José
Arango, Jacobo
Ku-Vera, Juan Carlos
Gómez, Carlos
author_browse Arango, Jacobo
Gómez, Carlos
Ku-Vera, Juan Carlos
Oré, Linda
Romero, Gelver
Souza de Abreu, Maria H.
Velarde-Guillén, José
author_facet Oré, Linda
Romero, Gelver
Souza de Abreu, Maria H.
Velarde-Guillén, José
Arango, Jacobo
Ku-Vera, Juan Carlos
Gómez, Carlos
author_sort Oré, Linda
collection Repository of Agricultural Research Outputs (CGSpace)
description Dairy farms in developing countries are key to fighting hunger and poverty. However, their environmental and economic impact in the tropical region of Peru has been scarcely studied. The CLEANED tool, developed by the Alliance of Bioversity International and the International Center for Tropical Agriculture, allows us to assess the productive situation and the environmental and economic impact of different dairy systems. The objective of the study was to use the CLEANED tool to evaluate the production, environmental, and economic impacts of extensive and semi-intensive dairy systems in the tropical region of Peru. Data from twelve dairy farms (six extensive and six semi-intensive systems), in two seasons (rainy and dry) were recorded using semi-structured surveys. The required area (ha/year), production (L milk/ha/year), environmental impact (water use in m3/product), and methane (CH4) and nitrous oxide (N2O) emissions in kg CO2eq/kg fat- and protein-corrected milk (FPCM) were estimated, and the economic analysis was performed for each livestock system. Results showed that the required area was of 28.9 and 32.6 ha, milk yield was 382 and 1254 L/ha/year, water use was 0.59 and 0.29 m3/kg FPCM, CH4 emissions were 1.7 and 1.0 kg CO2eq/kg FPCM, and N2O emissions were 0.22 and 0.17 kg CO2eq/kg FPCM, for the extensive and semi-intensive systems, respectively. The study revealed significant positive differences in semi-intensive livestock systems, including increased productivity, the reduced intensity of CH4 and N2O emissions, and greater profitability.
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spelling CGSpace1597232025-12-08T10:29:22Z Use of CLEANED to assess the productive, environmental, and economic impact of dairy farms in the Peruvian Amazon Oré, Linda Romero, Gelver Souza de Abreu, Maria H. Velarde-Guillén, José Arango, Jacobo Ku-Vera, Juan Carlos Gómez, Carlos greenhouse gas emissions sustainability animal production dairy farms grazing intensity Dairy farms in developing countries are key to fighting hunger and poverty. However, their environmental and economic impact in the tropical region of Peru has been scarcely studied. The CLEANED tool, developed by the Alliance of Bioversity International and the International Center for Tropical Agriculture, allows us to assess the productive situation and the environmental and economic impact of different dairy systems. The objective of the study was to use the CLEANED tool to evaluate the production, environmental, and economic impacts of extensive and semi-intensive dairy systems in the tropical region of Peru. Data from twelve dairy farms (six extensive and six semi-intensive systems), in two seasons (rainy and dry) were recorded using semi-structured surveys. The required area (ha/year), production (L milk/ha/year), environmental impact (water use in m3/product), and methane (CH4) and nitrous oxide (N2O) emissions in kg CO2eq/kg fat- and protein-corrected milk (FPCM) were estimated, and the economic analysis was performed for each livestock system. Results showed that the required area was of 28.9 and 32.6 ha, milk yield was 382 and 1254 L/ha/year, water use was 0.59 and 0.29 m3/kg FPCM, CH4 emissions were 1.7 and 1.0 kg CO2eq/kg FPCM, and N2O emissions were 0.22 and 0.17 kg CO2eq/kg FPCM, for the extensive and semi-intensive systems, respectively. The study revealed significant positive differences in semi-intensive livestock systems, including increased productivity, the reduced intensity of CH4 and N2O emissions, and greater profitability. 2024-11-10 2024-11-14T09:41:51Z 2024-11-14T09:41:51Z Journal Article https://hdl.handle.net/10568/159723 en Open Access application/pdf MDPI Oré, L.; Romero, G.; Souza de Abreu, M.H.; Velarde-Guillén, J.; Arango, J.; Ku-Vera, J.C.; Gómez, C. (2024) Use of CLEANED to assess the productive, environmental, and economic impact of dairy farms in the Peruvian Amazon. Animals 14: 3224. ISSN: 2076-2615
spellingShingle greenhouse gas emissions
sustainability
animal production
dairy farms
grazing intensity
Oré, Linda
Romero, Gelver
Souza de Abreu, Maria H.
Velarde-Guillén, José
Arango, Jacobo
Ku-Vera, Juan Carlos
Gómez, Carlos
Use of CLEANED to assess the productive, environmental, and economic impact of dairy farms in the Peruvian Amazon
title Use of CLEANED to assess the productive, environmental, and economic impact of dairy farms in the Peruvian Amazon
title_full Use of CLEANED to assess the productive, environmental, and economic impact of dairy farms in the Peruvian Amazon
title_fullStr Use of CLEANED to assess the productive, environmental, and economic impact of dairy farms in the Peruvian Amazon
title_full_unstemmed Use of CLEANED to assess the productive, environmental, and economic impact of dairy farms in the Peruvian Amazon
title_short Use of CLEANED to assess the productive, environmental, and economic impact of dairy farms in the Peruvian Amazon
title_sort use of cleaned to assess the productive environmental and economic impact of dairy farms in the peruvian amazon
topic greenhouse gas emissions
sustainability
animal production
dairy farms
grazing intensity
url https://hdl.handle.net/10568/159723
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