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The Use of an Automated System GreenFeed to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals
Published on: September 7, 2015
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A modified version of the Molly rumen model to quantify methane emissions from sheep
Journal of Animal Science
|October 7, 2015
Summary
We enhanced a sheep rumen model to predict methane emissions by adding a hydrogen pool. This improved accuracy, especially at low feed intake, by correcting previous model errors.
Area of Science:
- Agricultural Science
- Animal Science
- Environmental Science
Background:
- The Molly dairy cow model's rumen submodel was adapted for sheep.
- Accurate prediction of methane emissions from ruminants is crucial for environmental impact assessment.
Purpose of the Study:
- To modify the Molly model to simulate sheep rumen function and predict methane (CH4) emissions.
- To incorporate a dynamic hydrogen (H2) pool for improved methanogenesis modeling.
Main Methods:
- Introduced a dynamic H2 pool and corrected microbial H2 utilization equations.
- Developed a function to adjust net H2 production based on intake levels.
- Calibrated and validated the model using experimental data on sheep fed temperate forages.
Main Results:
- The modified model provided reasonable methane emission estimates, particularly after parameterization.
- Model performance improved with specific parameterization for calibration and validation datasets.
- Identified feedback inhibition on H2 production and methanogen activity related to feeding levels.
Conclusions:
- The enhanced model offers a more accurate simulation of sheep rumen methanogenesis.
- Further research should investigate diet composition effects on feedback mechanisms.
- The model provides a foundation for exploring thermodynamic controls on methane production.
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