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Carbon footprint of South Dakota dairy production system and assessment of mitigation options

Livestock production contributes to greenhouse gas (GHG) emissions. However, there is a considerable variability in the carbon footprint associated with livestock production. Site specific estimates of GHG emissions are needed to accurately focus GHG emission reduction efforts. A holistic approach m...

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Autores principales: Naranjo, Anna M., Sieverding, Heidi, Clay, David, Kebreab, Ermias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062546/
https://www.ncbi.nlm.nih.gov/pubmed/36996025
http://dx.doi.org/10.1371/journal.pone.0269076
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author Naranjo, Anna M.
Sieverding, Heidi
Clay, David
Kebreab, Ermias
author_facet Naranjo, Anna M.
Sieverding, Heidi
Clay, David
Kebreab, Ermias
author_sort Naranjo, Anna M.
collection PubMed
description Livestock production contributes to greenhouse gas (GHG) emissions. However, there is a considerable variability in the carbon footprint associated with livestock production. Site specific estimates of GHG emissions are needed to accurately focus GHG emission reduction efforts. A holistic approach must be taken to assess the environmental impact of livestock production using appropriate geographical scale. The objective of this study was to determine baseline GHG emissions from dairy production in South Dakota using a life cycle assessment (LCA) approach. A cradle-to-farm gate LCA was used to estimate the GHG emissions to produce 1 kg of fat and protein corrected milk (FPCM) in South Dakota. The system boundary was divided into feed production, farm management, enteric methane, and manure management as these activities are the main contributors to the overall GHG emissions. The production of 1 kg FPCM in South Dakota dairies was estimated to emit 1.23 kg CO(2) equivalents. The major contributors were enteric methane (46%) and manure management (32.7%). Feed production and farm management made up 14.1 and 7.2%, respectively. The estimate is similar to the national average but slightly higher than the California dairy system. The source of corn used in the dairies influences the footprint. For example, South Dakota corn had fewer GHG emissions than grain produced and transported in from Iowa. Therefore, locally and more sustainably sourced feed input will contribute to further reducing the environmental impacts. Improvements in efficiency of milk production through better genetics, nutrition animal welfare and feed production are expected to further reduce the carbon footprint of South Dakota dairies. Furthermore, anaerobic digesters will reduce emissions from manure sources.
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spelling pubmed-100625462023-03-31 Carbon footprint of South Dakota dairy production system and assessment of mitigation options Naranjo, Anna M. Sieverding, Heidi Clay, David Kebreab, Ermias PLoS One Research Article Livestock production contributes to greenhouse gas (GHG) emissions. However, there is a considerable variability in the carbon footprint associated with livestock production. Site specific estimates of GHG emissions are needed to accurately focus GHG emission reduction efforts. A holistic approach must be taken to assess the environmental impact of livestock production using appropriate geographical scale. The objective of this study was to determine baseline GHG emissions from dairy production in South Dakota using a life cycle assessment (LCA) approach. A cradle-to-farm gate LCA was used to estimate the GHG emissions to produce 1 kg of fat and protein corrected milk (FPCM) in South Dakota. The system boundary was divided into feed production, farm management, enteric methane, and manure management as these activities are the main contributors to the overall GHG emissions. The production of 1 kg FPCM in South Dakota dairies was estimated to emit 1.23 kg CO(2) equivalents. The major contributors were enteric methane (46%) and manure management (32.7%). Feed production and farm management made up 14.1 and 7.2%, respectively. The estimate is similar to the national average but slightly higher than the California dairy system. The source of corn used in the dairies influences the footprint. For example, South Dakota corn had fewer GHG emissions than grain produced and transported in from Iowa. Therefore, locally and more sustainably sourced feed input will contribute to further reducing the environmental impacts. Improvements in efficiency of milk production through better genetics, nutrition animal welfare and feed production are expected to further reduce the carbon footprint of South Dakota dairies. Furthermore, anaerobic digesters will reduce emissions from manure sources. Public Library of Science 2023-03-30 /pmc/articles/PMC10062546/ /pubmed/36996025 http://dx.doi.org/10.1371/journal.pone.0269076 Text en © 2023 Naranjo et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Naranjo, Anna M.
Sieverding, Heidi
Clay, David
Kebreab, Ermias
Carbon footprint of South Dakota dairy production system and assessment of mitigation options
title Carbon footprint of South Dakota dairy production system and assessment of mitigation options
title_full Carbon footprint of South Dakota dairy production system and assessment of mitigation options
title_fullStr Carbon footprint of South Dakota dairy production system and assessment of mitigation options
title_full_unstemmed Carbon footprint of South Dakota dairy production system and assessment of mitigation options
title_short Carbon footprint of South Dakota dairy production system and assessment of mitigation options
title_sort carbon footprint of south dakota dairy production system and assessment of mitigation options
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062546/
https://www.ncbi.nlm.nih.gov/pubmed/36996025
http://dx.doi.org/10.1371/journal.pone.0269076
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