In this episode of The Dairy Podcast Show, Dr. José Neto, Assistant Professor at Michigan State University, explains how meta-analysis and large-scale data analytics are improving dairy nutrition research. He discusses fatty acid supplementation, nutrient interactions, digestibility responses, nutrition modeling, and opportunities to strengthen decision-making through data-driven approaches in dairy production. Listen now on all major platforms!

"Meta-analysis provides a statistical framework that combines findings from multiple studies, creating a broader understanding of nutritional responses across different production environments and management conditions."

Meet the guest: Dr. José Neto is an Assistant Professor in the Department of Animal Science at Michigan State University. His research focuses on dairy cattle nutrition, lipid metabolism, nutrigenetics, nutrition models, and large-scale data analytics to better understand nutrient digestibility, metabolism, energy partitioning, and production responses in dairy cows. Learn from Dr. José Neto on The Dairy Podcast Show. Listen now on all major platforms!

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What you'll learn:

• (00:00) Highlight
• (01:43) Introduction
• (07:16) Meta-analysis basics
• (13:19) Fatty acid responses
• (18:38) Nutrient interactions
• (21:14) Digestibility modeling
• (24:43) Artificial intelligence
• (30:51) Final Questions

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