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

    Research output: Contribution to JournalArticleAcademicpeer-review

    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 languageEnglish
    Pages (from-to)441-455
    Number of pages15
    JournalInternational Journal of Life Cycle Assessment
    Volume22
    Issue number3
    DOIs
    Publication statusPublished - Mar 2017

    Keywords

    • Correlation
    • Dairy
    • Life cycle assessment
    • Monte Carlo simulation
    • Sensitivity analysis

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