The Bovine Vet Podcast – Détails, épisodes et analyse

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The Bovine Vet Podcast

Farm Journal

Forme & Santé

Enfants & Parentalité

Sciences

Technologie

Fréquence : 1 épisode/21j. Total Éps: 4

Behind every new technology, diagnostic tool, protocol or technique in cattle health is a real-world problem that someone set out to solve. The Bovine Vet Podcast talks with the veterinarians, researchers and industry professionals putting these innovations to work to improve outcomes in the field. The best tools are those that help make the best decisions for clients and their cattle.

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Données mises à jour le 14/07/2026

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The New Biology of Milk Fever

mardi 7 avril 2026 • Durée 01:49:58

This episode brings together three expert perspectives to tackle milk fever from every angle. Together, they unpack why milk fever is more than just a calcium deficiency and how better transition cow management, nutrition and early intervention can reduce both clinical and subclinical cases.

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The Bovine Vet Podcast: Genomic Testing & Herd Replacement Decisions

mardi 3 mars 2026 • Durée 46:36

You can't see fertility, feed efficiency or disease risk, but genomics can. In this episode, host Andrea Bedford sits down with Dr. Tom Short and Dr. Kent Andersen to discuss how genomic testing is helping reduce risk, improve profitability and move from herd-level decisions to individual-animal precision.

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The Bovine Vet Podcast: CattleCon Special

jeudi 12 février 2026 • Durée 01:40:24

In a special episode coming from the National Cattlemen’s Beef Association Convention, I do a series of rapid-fire interviews with the companies behind the latest pharmaceuticals, tech, and equipment and finding the answer to the important question: How will these new products actually impact your daily veterinary practice

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The Bovine Vet Podcast: From mastitis detection to decision with technology

mardi 3 février 2026 • Durée 01:28:53

Mastitis detection has advanced rapidly, with new technology promising better outcomes. In this episode, we explore mastitis as a systems-level problem shaped by housing, labor, management decisions, and data interpretation, not just pathogens. Dr. Justin Hess, a bovine veterinarian in Michigan, and Dr. Alon Arazi, chief veterinarian at Afimilk, discuss with me where current detection tools perform well, there they fall short, and why subclinical mastitis remains one of the biggest blind spots on dairies. We discuss how automated monitoring systems flag abnormal patterns, why they are not a diagnostic on their own, and how false positives can undermine trust if sensitivity and specificity are poorly balanced. The conversation also looks ahead to the future of mastitis detection, including earlier risk identification, predictive modeling, and the potential for insight into pathogen type.

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