Evaluation of models of enteric methane emissions in finishing steers

Accurate estimation of enteric CH4 emissions (i.e., MJ or g of CH4/ day) in the ruminant sector is necessary for properly determining GHG emissions and developing measuring, reporting, and verification programs. However, measuring enteric CH4 emissions under commercial conditions presents challenges due to technical and economic constraints. Thus, using prediction models allows for estimating individual enteric CH4 emissions according to animal and dietary characteristics. When evaluated in independent datasets, there is limited information regarding the accuracy and precision of the reported equations to predict enteric CH4 emissions in steers fed a finishing diet. This study evaluated the predictive performance of various reported equations for estimating enteric CH4 production in finishing steers. Data used to assess the prediction equations came from 446 steers from five experiments during the finishing phase. Gas flux, nutrient consumption, and animal growth performance were evalua..., , , # Model evaluation of predicting enteric methane emissions in finishing steers

[https://doi.org/10.5061/dryad.qnk98sfsn](https://doi.org/10.5061/dryad.qnk98sfsn)

## Description of the data and file structure

Data are from 5 independent experiments with *Bos taurus* cattle fed an energy dense finishing diet. Emissions data were collected via Greenfeed units (C-Lock Inc, Rapid City, SD). Feed intake was collected from Smartfeed units (C-Lock Inc., Rapid City, SD). Feed composition data were determined via wet chemistry by Dairy One (Ithaca, NY). 

### File: Sup_T1_Met_Pre_Rev.pdf

**Description:** Table with models and references. 

### File: Fig_1_Met_pred.tif

**Description:** Figure with comparing Concordance Correlation Coefficient (CCC) and Root Mean Square Prediction Error (RMSPE) of evaluated models.

### File: Fig_2_Met_pred.tiff

**Description:** Figure comparing proportion of evaluated models that under and over predicted methane emissions. 

#### File: Database_09-11-2025.cs...,