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Updated: May 23, 2026

The Use of an Automated System (GreenFeed) to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals
Published on: September 7, 2015
Toward a new practical energy evaluation system for dairy cows.
11Animal Nutrition and Health Department, SAC, Edinburgh EH9 3JG, Scotland, UK.
The Feed into Milk (FiM) system for dairy cows requires fewer parameters than the Tolkamp and Ketelaars (T&K) system, with similar metabolisable energy requirement predictions. Both systems show minor differences in energy predictions across various milk yields.
Area of Science:
- Animal Nutrition
- Dairy Science
- Energy Metabolism
Background:
- Energy evaluation systems are crucial for translating animal net energy (NE) requirements into metabolisable energy requirements (MER).
- Previous systems often depended on feed quality, complicating accurate MER prediction for dairy cows.
- The Feed into Milk (FiM) and Tolkamp and Ketelaars (T&K) systems offer feed-quality independent approaches to MER prediction.
Purpose of the Study:
- To analyze the parameter contributions and differences in MER predictions between the FiM and T&K energy evaluation systems.
- To identify the underlying causes for discrepancies in MER predictions between the two systems.
- To evaluate the FiM system's parameter requirements and internal consistency.
Main Methods:
- Comparative analysis of the FiM and T&K energy evaluation systems for dairy cows.
- Examination of the role of individual parameters in MER prediction within the FiM system.
- Assessment of differences in net energy for maintenance and metabolisable energy utilization efficiency assumptions.
Main Results:
- The FiM system requires nine parameters, while the T&K system uses only two, yet MER predictions are similar (±2%) for milk yields between 10-40 kg.
- Significant differences exist in NE for maintenance and partial efficiency of ME utilization for lactation between the systems.
- FiM predictions are higher than T&K for very low and very high milk yields; FiM exhibits internal inconsistencies.
Conclusions:
- The FiM system can be simplified by reducing parameter requirements with minimal impact on MER predictions.
- The T&K system is simpler but could be improved with updated parameter estimations.
- The FiM system's curvilinear model and high maintenance NE parameter contribute to internal inconsistencies.
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