Farms.com Home   News

Emerging Equine Diseases: What You Should Know

Not long ago, we didn't know that some now-common equine diseases even existed. Potomac horse fever, hendra virus infection, and contagious equine metritis, among others, were all once considered emergent diseases. And while we no longer think of them as new conditions, there are likely many more just waiting to make their first appearance or spread across an international border into a previously unaffected country.
 
At the recent 2015 University of Kentucky Equine Showcase, held in Lexington, Peter J. Timoney, FRCVS, PhD, shared some important insight into emerging equine diseases. Timoney is a professor and former department chair and director of the University of Kentucky Gluck Equine Research Center, also in Lexington.
 
What is an emergent disease?
 
Emergent diseases are those that are recorded for the first time in a population (such as Potomac horse fever or hendra virus) or those that might have been around for a period of time, but had not been diagnosed (like mare reproductive loss syndrome or contagious equine metritis), Timoney said.
 
Source: TheHorse

Trending Video

What Successful AI Implementation Looks Like in the Protein Industry | Ben Allen, CEO of BinSentry

Video: What Successful AI Implementation Looks Like in the Protein Industry | Ben Allen, CEO of BinSentry

In this conversation, Ben Allen, CEO of BinSentry, explores what separates successful AI implementation from early experimentation across the protein industry. As producers begin integrating artificial intelligence into their operations, the most effective implementations share common themes: strong data foundations, practical use cases, and a focus on solving real operational challenges. Ben discusses why data quality and integration are essential for AI to deliver meaningful results, and why technology alone is not enough. Successful adoption also depends heavily on people, training, and company culture, ensuring teams understand how to use new tools and trust the insights they provide. Looking ahead, the conversation highlights the steps protein producers can take today—from improving data infrastructure to embracing digital tools—to position their operations for long-term success in an increasingly AI-driven industry.