What does a successful transition look like, and how can farm data help you see whether cows are on track?
In the first episode of our new series about using springer and transition cow data, Shaun Balemi outlines six measures of transition success:
- Body condition
- Liver and rumen health
- Metabolic disease
- Immune function
- Early peak milk
- Reproductive performance
Shaun also looks at the growing amount of information available from cow wearables, milk records, blood testing, pasture data, body condition scoring and walk-over weighing. He explains why individual figures rarely tell the full story, and how combining data can help farmers better understand changes in appetite, rumination, milk production, feed quality and cow recovery.
The episode also sets up the coming series, covering:
- Herbage and feed data
- Blood testing and liver function
- Visual observation in the paddock
- Rumination data
- Sensor and camera technology
- Post-calving measures of transition success
- Feed conversion efficiency
The aim is simple: help farmers use the information they already collect to make better decisions during transition and early lactation.
Listen now to hear how farm data can help farmers assess transition performance and make more informed decisions for springer and freshly calved cows.
Visit mycow.nz to register for episode updates and news about the myCOW app.Keywords:
New Zealand dairy farming, dairy podcast, myCOW podcast, transition cow management, springer cows, cow wearables, rumination data, liver health, metabolic disease, feed conversion efficiency
Thanks to Agvance Nutrition for sponsoring this episode!