A Basic Model to Predict Enteric Methane Emission from Dairy Cows and Its Application to Update Operational Models for the National Inventory in Norway

• DOI: 10.20944/preprints202105.0453.v1
• Publication Date: 2021-05-20T07:17:24Z
• Authors: Puchun Niu; Angela Schwarm; Helge Bonesmo; Alemayehu Kidane; Bente Aspeholen Åby; Tonje Marie Storlien; Michael Kreuzer; Clementina Alvarez; Jon Kristian Somm...; Egil Prestløkken
• Keywords: Concordance correlation coefficient; Methane Emissions; Neutral Detergent Fiber

The aim of this study was to develop a basic model predict enteric methane emission from dairy cows and update operational calculations for the national inventory in Norway. Basic models were developed using database with 63 treatment means 19 studies. included records CH4 production (MJ/day), dry matter intake (DMI), dietary nutrient composition. evaluated against an external (n=36, ten studies) along other extant models. When by low root mean square prediction errors high concordance correlation coefficients, that DMI, concentrations fatty acids neutral detergent fiber performed slightly better predicting emissions than In order propose country-specific values conversion factor Ym (% gross energy partitioned into CH4) thus carry out Norway, existing updated over wide range feeding situations corrected milk concentrate share as predictor variables. Input based on results predicted ranged 6.22 6.72%. conclusion, improved help newly published data, which enabled calculating