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ECOALIM: A Dataset of Environmental Impacts of Feed Ingredients Used in French Animal Production

Feeds contribute highly to environmental impacts of livestock products. Therefore, formulating low-impact feeds requires data on environmental impacts of feed ingredients with consistent perimeters and methodology for life cycle assessment (LCA). We created the ECOALIM dataset of life cycle inventor...

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Autores principales: Wilfart, Aurélie, Espagnol, Sandrine, Dauguet, Sylvie, Tailleur, Aurélie, Gac, Armelle, Garcia-Launay, Florence
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5145169/
https://www.ncbi.nlm.nih.gov/pubmed/27930682
http://dx.doi.org/10.1371/journal.pone.0167343
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author Wilfart, Aurélie
Espagnol, Sandrine
Dauguet, Sylvie
Tailleur, Aurélie
Gac, Armelle
Garcia-Launay, Florence
author_facet Wilfart, Aurélie
Espagnol, Sandrine
Dauguet, Sylvie
Tailleur, Aurélie
Gac, Armelle
Garcia-Launay, Florence
author_sort Wilfart, Aurélie
collection PubMed
description Feeds contribute highly to environmental impacts of livestock products. Therefore, formulating low-impact feeds requires data on environmental impacts of feed ingredients with consistent perimeters and methodology for life cycle assessment (LCA). We created the ECOALIM dataset of life cycle inventories (LCIs) and associated impacts of feed ingredients used in animal production in France. It provides several perimeters for LCIs (field gate, storage agency gate, plant gate and harbour gate) with homogeneously collected data from French R&D institutes covering the 2005–2012 period. The dataset of environmental impacts is available as a Microsoft(®) Excel spreadsheet on the ECOALIM website and provides climate change, acidification, eutrophication, non-renewable and total cumulative energy demand, phosphorus demand, and land occupation. LCIs in the ECOALIM dataset are available in the AGRIBALYSE(®) database in SimaPro(®) software. The typology performed on the dataset classified the 149 average feed ingredients into categories of low impact (co-products of plant origin and minerals), high impact (feed-use amino acids, fats and vitamins) and intermediate impact (cereals, oilseeds, oil meals and protein crops). Therefore, the ECOALIM dataset can be used by feed manufacturers and LCA practitioners to investigate formulation of low-impact feeds. It also provides data for environmental evaluation of feeds and animal production systems. Included in AGRIBALYSE(®) database and SimaPro(®), the ECOALIM dataset will benefit from their procedures for maintenance and regular updating. Future use can also include environmental labelling of commercial products from livestock production.
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spelling pubmed-51451692016-12-22 ECOALIM: A Dataset of Environmental Impacts of Feed Ingredients Used in French Animal Production Wilfart, Aurélie Espagnol, Sandrine Dauguet, Sylvie Tailleur, Aurélie Gac, Armelle Garcia-Launay, Florence PLoS One Research Article Feeds contribute highly to environmental impacts of livestock products. Therefore, formulating low-impact feeds requires data on environmental impacts of feed ingredients with consistent perimeters and methodology for life cycle assessment (LCA). We created the ECOALIM dataset of life cycle inventories (LCIs) and associated impacts of feed ingredients used in animal production in France. It provides several perimeters for LCIs (field gate, storage agency gate, plant gate and harbour gate) with homogeneously collected data from French R&D institutes covering the 2005–2012 period. The dataset of environmental impacts is available as a Microsoft(®) Excel spreadsheet on the ECOALIM website and provides climate change, acidification, eutrophication, non-renewable and total cumulative energy demand, phosphorus demand, and land occupation. LCIs in the ECOALIM dataset are available in the AGRIBALYSE(®) database in SimaPro(®) software. The typology performed on the dataset classified the 149 average feed ingredients into categories of low impact (co-products of plant origin and minerals), high impact (feed-use amino acids, fats and vitamins) and intermediate impact (cereals, oilseeds, oil meals and protein crops). Therefore, the ECOALIM dataset can be used by feed manufacturers and LCA practitioners to investigate formulation of low-impact feeds. It also provides data for environmental evaluation of feeds and animal production systems. Included in AGRIBALYSE(®) database and SimaPro(®), the ECOALIM dataset will benefit from their procedures for maintenance and regular updating. Future use can also include environmental labelling of commercial products from livestock production. Public Library of Science 2016-12-08 /pmc/articles/PMC5145169/ /pubmed/27930682 http://dx.doi.org/10.1371/journal.pone.0167343 Text en © 2016 Wilfart et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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
Wilfart, Aurélie
Espagnol, Sandrine
Dauguet, Sylvie
Tailleur, Aurélie
Gac, Armelle
Garcia-Launay, Florence
ECOALIM: A Dataset of Environmental Impacts of Feed Ingredients Used in French Animal Production
title ECOALIM: A Dataset of Environmental Impacts of Feed Ingredients Used in French Animal Production
title_full ECOALIM: A Dataset of Environmental Impacts of Feed Ingredients Used in French Animal Production
title_fullStr ECOALIM: A Dataset of Environmental Impacts of Feed Ingredients Used in French Animal Production
title_full_unstemmed ECOALIM: A Dataset of Environmental Impacts of Feed Ingredients Used in French Animal Production
title_short ECOALIM: A Dataset of Environmental Impacts of Feed Ingredients Used in French Animal Production
title_sort ecoalim: a dataset of environmental impacts of feed ingredients used in french animal production
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5145169/
https://www.ncbi.nlm.nih.gov/pubmed/27930682
http://dx.doi.org/10.1371/journal.pone.0167343
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