Assessing greenhouse gas emissions of milk production: which parameters are essential?

Patricia Wolf; Evelyne A. Groen; Werner Berg; Annette Prochnow; Eddie A. M. Bokkers; Reinout Heijungs; Imke J. M. de Boer

doi:10.1007/s11367-016-1165-y

Assessing greenhouse gas emissions of milk production: which parameters are essential?

Patricia Wolf, Evelyne A. Groen, Werner Berg, Annette Prochnow, Eddie A. M. Bokkers, Reinout Heijungs, Imke J. M. de Boer

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Abstract

Purpose: Life cycle assessment (LCA) studies of food products, such as dairy, require many input parameters that are affected by variability and uncertainty. Moreover, correlations may be present between input parameters, e.g. between feed intake and milk yield. The purpose of this study was to identify which input parameters are essential to assess the greenhouse gas (GHG) emissions of milk production, while accounting for correlations between input parameters, and using a systematic approach. Methods: Three diets corresponding to three grazing systems (zero-, restricted and unrestricted grazing) were selected, which were defined to aim for a milk yield of 10,000 kg energy corrected milk (ECM) cow

Original language	English
Pages (from-to)	441-455
Number of pages	15
Journal	International Journal of Life Cycle Assessment
Volume	22
Issue number	3
Early online date	31 Jul 2016
DOIs	https://doi.org/10.1007/s11367-016-1165-y
Publication status	Published - Mar 2017

Funding

Funders	Funder number
FP7) EU
Seventh Framework Programme
European Commission	286141
Joint Initiative for Research and Innovation of the Leibniz Association	SAW-2013-ATB-4

Keywords

Correlation
Dairy
Life cycle assessment
Monte Carlo simulation
Sensitivity analysis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s11367-016-1165-y

Assessing greenhouse gas emissions of milk productionFinal published version, 818 KBLicence: Article 25fa Dutch Copyright Act

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Cite this

@article{a874bfc32e8143abac58377cc4495ba3,

title = "Assessing greenhouse gas emissions of milk production: which parameters are essential?",

abstract = "Purpose: Life cycle assessment (LCA) studies of food products, such as dairy, require many input parameters that are affected by variability and uncertainty. Moreover, correlations may be present between input parameters, e.g. between feed intake and milk yield. The purpose of this study was to identify which input parameters are essential to assess the greenhouse gas (GHG) emissions of milk production, while accounting for correlations between input parameters, and using a systematic approach. Methods: Three diets corresponding to three grazing systems (zero-, restricted and unrestricted grazing) were selected, which were defined to aim for a milk yield of 10,000 kg energy corrected milk (ECM) cow",

keywords = "Correlation, Dairy, Life cycle assessment, Monte Carlo simulation, Sensitivity analysis",

author = "Patricia Wolf and Groen, {Evelyne A.} and Werner Berg and Annette Prochnow and Bokkers, {Eddie A. M.} and Reinout Heijungs and {de Boer}, {Imke J. M.}",

year = "2017",

month = mar,

doi = "10.1007/s11367-016-1165-y",

language = "English",

volume = "22",

pages = "441--455",

journal = "International Journal of Life Cycle Assessment",

issn = "0948-3349",