Across-country prediction of methane emissions using rumen microbial profiles

Title
Across-country prediction of methane emissions using rumen microbial profiles
Publication Date
2021
Author(s)
Hess, M K
Donaldson, A
Robinson, D L
( author )
OrcID: https://orcid.org/0000-0001-6113-1141
Email: drobin27@une.edu.au
UNE Id une-id:drobin27
Hess, A S
McEwan, J C
Oddy, V H
( author )
OrcID: https://orcid.org/0000-0003-1783-1049
Email: hoddy2@une.edu.au
UNE Id une-id:hoddy2
Rowe, S J
Abstract
Paper presented by M K Hess
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
Association for the Advancement of Animal Breeding and Genetics (AAABG)
Place of publication
Armidale, Australia
UNE publication id
une:1959.11/47423
Abstract

Rumen microbial profiles have been shown to be accurate predictors of methane emissions in a variety of species, however, it can be very costly and slow to generate a dataset with a sufficient number of individuals measured for methane who also have had rumen samples collected and processed into rumen microbial profiles for these benefits to be applied in industry. We evaluated the potential of combining datasets from New Zealand and Australian sheep to improve our ability to accurately predict methane emissions in Australian sheep. Prediction of Australian sheep methane emissions using rumen microbial profiles and phenotypes from New Zealand was possible, however, it was important to closely match the diets the sheep were fed to have confidence in the predictions. Prediction accuracies of Australian sheep methane emissions were higher when training on data collected on Australian sheep than training on New Zealand sheep; however augmentation of New Zealand data collected on a similar diet enabled more complex models to be run and an improvement in prediction accuracy.

Link
Citation
Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.24, p. 163-166
ISSN
1328-3227
Start page
163
End page
166

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