Skip to main content
Sustainability & efficiency

Genetic correlations of daily feed intake measured in feedlot with methane and carbon dioxide on pasture and in the feedlot in Australian temperate beef cattle.

Authors
  • Sam Clark (University of New England)
  • Tom Granleese (New South Wales Department of Primary Industries and Regional Development)
  • Rachelle Hergenhan (University of New England)
  • Mette Madsen (University of New England)

Abstract

The aim of this study was to investigate whether fitting pasture analysis results in the genetic variance estimation of pasture-based methane production in beef cattle improved prediction. The dataset used for this study included 1576 heifers recorded on a range of pastures and five different properties. The animals consisted of 673 Angus, 178 Charolais, 362 Hereford, 200 Shorthorn and 162 Wagyu. Recording was done using GreenFeed Emission Monitors (C-Lock Inc.) and the collected spot-samples were corrected for the diurnal pattern. Spot-samples were also corrected for the average effect of site-year of recording as the control model. Test models included t The trial average methane production (CH4-Prd, g/day) and carbon dioxide production (CO2-Prd, kg/day) were then calculated for all animals with at least five spot-samples. To assess the potential benefit of standardising the phenotypes, a mean-variance standardisation was done within trial group for pasture records, resulting in standardised methane and carbon dioxide production (CH4-Std and CO2-Std) traits. The analysis was conducted using bivariate GBLUP models fitting pasture CH4-Prd, CH4-Std, CO2-Prd or CO2-Std.

Keywords: 2026

How to Cite:

Clark, S., Granleese, T., Hergenhan, R. & Madsen, M., (2026) “Genetic correlations of daily feed intake measured in feedlot with methane and carbon dioxide on pasture and in the feedlot in Australian temperate beef cattle.”, World Congress on Genetics Applied to Livestock Production Digital Archive 2026(1): 2286395. doi: https://doi.org/10.31274/wcgalp.23980

Rights: 1

Downloads:
Download PDF
View PDF

68 Views

24 Downloads

Published on
2026-02-26

Peer Reviewed