Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/29243
Title: Overview of the Methane Prediction Module in the AusBeef Rumen Model
Contributor(s): Dougherty, H C  (author)orcid ; Kebreab, E (author); Little, B A (author); Ingham, A B (author); Hegarty, R S  (author); Pacheco, D (author); McPhee, M J  (author)
Publication Date: 2014
Handle Link: https://hdl.handle.net/1959.11/29243
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.
Publication Type: Conference Publication
Conference Details: 8th International Workshop on Modelling Nutrient Digestion and Utilisation in Farm Animals, Cairns, QLD, Australia, September 2014
Source of Publication: Extended Abstracts of papers presented at the 8th International Workshop on Modelling Nutrient Digestion and Utilisation in Farm Animals, p. xxvii-xxvii
Publisher: CSIRO Publishing
Place of Publication: Australia
Field of Research (FOR): 070103 Agricultural Production Systems Simulation
050204 Environmental Impact Assessment
070204 Animal Nutrition
Socio-Economic Objective (SEO): 830301 Beef Cattle
839802 Management of Greenhouse Gas Emissions from Animal Production
HERDC Category Description: E3 Extract of Scholarly Conference Publication
Other Links: https://dx.doi.org/10.1071/ANv54n12abstracts
Series Name: Animal Production Science
Series Number : Special Issue Volume 54, Number 12
Appears in Collections:Conference Publication
School of Environmental and Rural Science

Files in This Item:
2 files
File Description SizeFormat 
Show full item record
Google Media

Google ScholarTM

Check


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.