Methane prediction equations including genera of rumen bacteria as predictor variables improve prediction accuracy - 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.; et al. (Scientific reports, 2023)
Keywords: 631/326; 631/326/171; 631/326/2565; Animal Feed - analysis; Animal models; Animals; Bacteria; Bacteria - genetics; Bayes Theorem; Bayesian analysis; Correlation coefficient; Diet - veterinary; Dry matter; Emission inventories; Emissions; Environmental perception; Female; Food and Nutrition; Humanities and Social Sciences; Lactation; Life Sciences; Mathematical models; Methane; Microbiota; multidisciplinary; Prediction models; Rumen; Ruminants; Science; Science (multidisciplinary); Sheep