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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| Hauptverfasser: | , , , , , , , |
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| Format: | Artigo |
| Sprache: | Alemão |
| Veröffentlicht: |
BMC
2025-07-01
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| Schriftenreihe: | Genetics Selection Evolution |
| Online-Zugang: | https://doi.org/10.1186/s12711-025-00987-x |
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