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)

Abstract Background Methane emissions from ruminant livestock pose a significant challenge to mitigating climate change. Genomic selection offers a promising approach to reduce methane emissions, but prediction accuracy remains low due to the high cost of measuring methane emissions. Integrating rum...

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Auteurs principaux:	Setegn Worku Alemu, Timothy P. Bilton, Patricia L. Johnson, Benjamin J. Perry, Hannah Henry, Ken G. Dodds, John C. McEwan, Suzanne J. Rowe
Format:	Artigo
Langue:	Alemão
Publié:	BMC 2025-07-01
Collection:	Genetics Selection Evolution
Accès en ligne:	https://doi.org/10.1186/s12711-025-00987-x
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