In this episode of The Dairy Nutrition Blackbelt Podcast, Dr. Roni Yair from Afimilk shares how advanced algorithms are transforming dairy cattle feed efficiency through behavioral data of individual cows. He explains the science behind predictive models, cross-farm research, and how dairies can use this data for strategic culling and breeding decisions. Listen now on all major platforms!

"The two major applications of our feed intake prediction system are culling and breeding—using feed efficiency and profitability to guide better decision-making on timing and selection."

Meet the guest: Dr. Roni Yair holds a Ph.D. in Animal Sciences from The Hebrew University of Jerusalem and completed postdoctoral research at Michigan State University, focusing on ruminant nutrition and hepatic metabolism. Now an animal scientist at Afimilk, he leads research in feed efficiency and dairy cattle behavior analytics.

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What will you learn:

• (00:00) Highlight
• (01:27) Introduction
• (03:17) Predicting feed intake
• (05:07) Sensor behavior data
• (08:37) Cross-farm prediction
• (10:48) Culling and breeding
• (15:57) Next research directions
• (20:14) Closing thoughts

The Dairy Nutrition Blackbelt Podcast is trusted and supported by the innovative companies:

Afimilk

* Adisseo

* Kemin

* Priority IAC

- Virtus Nutrition

- Zinpro

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