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A case study of improving milking cow performance and milking system performance with using a flow simulator
Masafumi Enokidani1,2, Kazuhiro Kawai2,3, Yasunori Shinozuka2,3
1Hokkaido Dairy management Services, Tsurui, Japan.
Animal Science Journal = Nihon Chikusan Gakkaiho
|June 10, 2020
Summary
A new method evaluates milking system performance using a flow simulator. Upgrading milking systems based on these evaluations significantly improved dairy cow productivity and milk quality.
Area of Science:
- Dairy Science
- Agricultural Engineering
- Animal Husbandry
Background:
- Improving dairy performance is crucial for the dairy industry.
- Current methods for evaluating milking system efficiency are lacking.
- Focus has been on feeding and genetics, neglecting milking system impact.
Purpose of the Study:
- To establish a method for evaluating milking system performance.
- To assess the impact of milking system upgrades on dairy productivity.
- To provide data for farmers' management decisions regarding milking systems.
Main Methods:
- Milking system performance was evaluated using a flow simulator.
- Claw vacuum was measured at various milk flow rates (1.9-8.7 kg/min).
- A new milking system (double eight-parallel, low-line) was installed and tested.
Main Results:
- The new milking system significantly improved average milking productivity (p < .01).
- Somatic cell linear score (LS) of bulk milk and individual cows also significantly improved (p < .01).
- The diagnostic method using a flow simulator proved effective for evaluation.
Conclusions:
- A novel diagnostic method using a flow simulator can evaluate milking system performance.
- Upgrading milking systems based on performance data leads to significant improvements.
- This method aids in decisions for new installations and system renovations.
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