Global beef cattle methane emissions: yield prediction by cluster and meta-analyses
D. J. Cottle A B and R. J. Eckard A
+ Author Affiliations
- Author Affiliations
A Faculty of Veterinary and Agricultural Science, The University of Melbourne, Vic. 3010, Australia.
B Corresponding author. Email: david.cottle@unimelb.edu.au
Animal Production Science 58(12) 2167-2177 https://doi.org/10.1071/AN17832
Submitted: 23 November 2017 Accepted: 9 March 2018 Published: 25 May 2018
Journal Compilation © CSIRO 2018 Open Access CC BY-NC-ND
Abstract
Methane yield values (MY; g methane/kg dry-matter intake) in beef cattle reported in the global literature (expanded MitiGate database of methane-mitigation studies) were analysed by cluster and meta-analyses. The Ward and k means cluster analyses included accounting for the categorical effects of methane measurement method, cattle breed type, country or region of study, age and sex of cattle, and proportion of grain in the diet and the standardised continuous variables of number of animals, liveweight and MY. After removal of data from outlier studies, meta-analyses were conducted on subsets of data to produce prediction equations for MY. Removing outliers with absolute studentised residual values of >1, followed by meta-analysis of data accounting for categorical effects, is recommended as a method for predicting MY. The large differences among some countries in MY values were significant but difficult to interpret. On the basis of the datasets available, a single, global MY or percentage of gross energy in feed converted to methane (Ym) value is not appropriate for use in Intergovernmental Panel on Climate Change (IPCC) greenhouse accounting methods around the world. Therefore, ideally country-specific MY values should be used in each country’s accounts (i.e. an IPCC Tier 2 or 3 approach) from data generated within that country.
Additional keywords: greenhouse accounting, methane yield, outliers.
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