Methane prediction equations including genera of rumen bacteria as predictor variables improve prediction accuracy

Methane (CH(4)) emissions from ruminants are of a significant environmental concern, necessitating accurate prediction for emission inventories. Existing models rely solely on dietary and host animal-related data, ignoring the predicting power of rumen microbiota, the source of CH(4). To address thi...

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Detalles Bibliográficos
Autores principales: Zhang, Boyang, Lin, Shili, Moraes, Luis, Firkins, Jeffrey, Hristov, Alexander N., Kebreab, Ermias, Janssen, Peter H., Bannink, André, Bayat, Alireza R., Crompton, Les A., Dijkstra, Jan, Eugène, Maguy A., Kreuzer, Michael, McGee, Mark, Reynolds, Christopher K., Schwarm, Angela, Yáñez-Ruiz, David R., Yu, Zhongtang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693554/
https://www.ncbi.nlm.nih.gov/pubmed/38042941
http://dx.doi.org/10.1038/s41598-023-48449-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693554/
https://www.ncbi.nlm.nih.gov/pubmed/38042941
http://dx.doi.org/10.1038/s41598-023-48449-y

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