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Related Experiment Video

Updated: Jun 30, 2026

The Use of an Automated System (GreenFeed) to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals

The Use of an Automated System (GreenFeed) to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals

Published on: September 7, 2015

Recent advances in modeling nutrient utilization in ruminants.

E Kebreab¹, J Dijkstra, A Bannink

¹Department of Animal Science, University of Manitoba, Winnipeg, Manitoba R3T 2N2, Canada. kebreabe@cc.umanitoba.ca

Journal of Animal Science

|September 30, 2008

Summary

This summary is machine-generated.

Mathematical models enhance understanding of ruminant digestion, nutrient use, and environmental impact. Advances in modeling volatile fatty acids (VFAs) and rumen pH aid in managing animal health and reducing waste.

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The Use of an Automated System (GreenFeed) to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals

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Published on: September 7, 2015

An Experimental Model of Diet-Induced Metabolic Syndrome in Rabbit: Methodological Considerations, Development, and Assessment

An Experimental Model of Diet-Induced Metabolic Syndrome in Rabbit: Methodological Considerations, Development, and Assessment

Published on: April 20, 2018

Area of Science:

Ruminant nutrition and physiology
Mathematical modeling in animal science
Environmental impact assessment of livestock

Background:

Ruminant mathematical modeling encompasses rumen function, metabolism, and product composition.
Focus on modeling rumen fermentation, disorders, nutrient utilization, and environmental considerations.
Accurate fermentation stoichiometry is key for predicting energy substrates and methanogenesis.

Purpose of the Study:

Review advances in modeling rumen fermentation and associated disorders.
Examine energy and nutrient utilization and excretion in relation to environmental issues.
Highlight the development and application of mathematical models in ruminant science.

Main Methods:

Analysis of existing mathematical models for rumen function, pH, and fermentation.
Review of mechanistic models for nitrogen (N) and phosphorus (P) utilization.
Discussion of whole-animal and farm-level modeling approaches, including decision-making frameworks.

Main Results:

Modeling volatile fatty acids (VFAs) aids dietary manipulation for improved fermentation.
Models for rumen pH and temperature can assist in diagnosing subacute rumen acidosis.
Mechanistic models show reducing dietary protein and optimizing energy status reduces nitrogen waste.
Phosphorus models suggest reducing dietary P for dairy cattle to improve efficiency and reduce environmental output.

Conclusions:

Mathematical modeling is crucial for optimizing ruminant nutrition, health, and environmental sustainability.
Further research on fractional passage rate and integrated nutrient-health models is recommended.
Farm-level models offer valuable tools for decision-making in cattle operations.