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Data to calculate emissions intensity for individual beef cattle reared on pasture-based production systems
With increasing concern about environmental burdens originating from livestock production, the importance of farming system evaluation has never been greater. In order to form a basis for trade-off analysis of pasture-based cattle production systems, liveweight data from 90 Charolais × Hereford-Frie...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5852278/ https://www.ncbi.nlm.nih.gov/pubmed/29552605 http://dx.doi.org/10.1016/j.dib.2018.01.075 |
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author | McAuliffe, G.A. Takahashi, T. Orr, R.J. Harris, P. Lee, M.R.F. |
author_facet | McAuliffe, G.A. Takahashi, T. Orr, R.J. Harris, P. Lee, M.R.F. |
author_sort | McAuliffe, G.A. |
collection | PubMed |
description | With increasing concern about environmental burdens originating from livestock production, the importance of farming system evaluation has never been greater. In order to form a basis for trade-off analysis of pasture-based cattle production systems, liveweight data from 90 Charolais × Hereford-Friesian calves were collected at a high temporal resolution at the North Wyke Farm Platform (NWFP) in Devon, UK. These data were then applied to the Intergovernmental Panel on Climate Change (IPCC) modelling framework to estimate on-farm methane emissions under three different pasture management strategies, completing a foreground dataset required to calculate emissions intensity of individual beef cattle. |
format | Online Article Text |
id | pubmed-5852278 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-58522782018-03-16 Data to calculate emissions intensity for individual beef cattle reared on pasture-based production systems McAuliffe, G.A. Takahashi, T. Orr, R.J. Harris, P. Lee, M.R.F. Data Brief Environmental Science With increasing concern about environmental burdens originating from livestock production, the importance of farming system evaluation has never been greater. In order to form a basis for trade-off analysis of pasture-based cattle production systems, liveweight data from 90 Charolais × Hereford-Friesian calves were collected at a high temporal resolution at the North Wyke Farm Platform (NWFP) in Devon, UK. These data were then applied to the Intergovernmental Panel on Climate Change (IPCC) modelling framework to estimate on-farm methane emissions under three different pasture management strategies, completing a foreground dataset required to calculate emissions intensity of individual beef cattle. Elsevier 2018-02-02 /pmc/articles/PMC5852278/ /pubmed/29552605 http://dx.doi.org/10.1016/j.dib.2018.01.075 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Environmental Science McAuliffe, G.A. Takahashi, T. Orr, R.J. Harris, P. Lee, M.R.F. Data to calculate emissions intensity for individual beef cattle reared on pasture-based production systems |
title | Data to calculate emissions intensity for individual beef cattle reared on pasture-based production systems |
title_full | Data to calculate emissions intensity for individual beef cattle reared on pasture-based production systems |
title_fullStr | Data to calculate emissions intensity for individual beef cattle reared on pasture-based production systems |
title_full_unstemmed | Data to calculate emissions intensity for individual beef cattle reared on pasture-based production systems |
title_short | Data to calculate emissions intensity for individual beef cattle reared on pasture-based production systems |
title_sort | data to calculate emissions intensity for individual beef cattle reared on pasture-based production systems |
topic | Environmental Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5852278/ https://www.ncbi.nlm.nih.gov/pubmed/29552605 http://dx.doi.org/10.1016/j.dib.2018.01.075 |
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