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Improving genomic prediction accuracy for methane emission and feed efficiency in sheep: integrating rumen microbial PCA with host genomic variation using neural network GBLUP (NN-GBLUP)

Crossref DOI link: https://doi.org/10.1186/s12711-025-00987-x

Published Online: 2025-07-17

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Alemu, Setegn Worku https://orcid.org/0000-0002-3795-8293
Bilton, Timothy P.

Johnson, Patricia L.

Perry, Benjamin J.

Henry, Hannah

Dodds, Ken G.

McEwan, John C.

Rowe, Suzanne J.
Funding

Funding for this research was provided by:

Ministry of Business, Innovation and Employment (C10X1807)
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Text and Data Mining valid from 2025-07-17

Version of Record valid from 2025-07-17
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Article History

Received: 24 October 2024

Accepted: 4 July 2025

First Online: 17 July 2025

Declarations

:

: The animal experiments conducted adhered to the guidelines of the 1999 New Zealand Animal Welfare Act and AgResearch Code of Ethical Conduct. The trials of the current study were approved by the AgResearch Invermay (Mosgiel, NZ) Animal Ethics committee with the approval numbers: 13081, 13419, 13563, 13742, 13892, 14055, 14066, and 14221.

: Not applicable.

: The authors declare that they have no competing interests.

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