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Overview of the Methane Prediction Module in the AusBeef Rumen Model

  • H C Dougherty
  • , E Kebreab
  • , B A Little
  • , A B Ingham
  • , R S Hegarty
  • , D Pacheco
  • , M J McPhee

Research output: Contribution to conferenceAbstract

Abstract

Improved livestock nutrition modelling can enable better description and prediction of the physiological and environmental effects of specific production processes, thereby improving productivity and efficiency. Although there are several models of livestock methane emissions (e.g., Ellis et al.2007) few mechanistic whole-animal models exist. The AusBeef rumen model, initially proposed and developed by Nagorcka and Zurcher (2002), is one of the few whole-animal dynamic and mechanistic models that can be used to predict both productivity and enteric fermentation from ruminants.
Original languageEnglish
Pagesxxvii-xxvii
Publication statusPublished - 2014
EventMODNUT 2014: 8th International Workshop on Modelling Nutrient Digestion and Utilisation in Farm Animals - Cairns, Australia
Duration: 15 Sept 201417 Sept 2014

Conference

ConferenceMODNUT 2014: 8th International Workshop on Modelling Nutrient Digestion and Utilisation in Farm Animals
CityCairns, Australia
Period15/09/1417/09/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger

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