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Russian cows given virtual reality headsets to improve mood
Early tests are reported to have improved "the overall emotional mood of the herd”.
Experiment taking place on a farm in the Ramensky District

A farm in Russia is using virtual reality headsets to help reduce anxiety in its dairy cows.

According to BBC News, the VR headsets have been adapted for the "structural features of cow heads" and feature a "unique summer field simulation program".

It follows research by the Russian Ministry of Agriculture and Food (MAF), which found a strong link between a cow’s emotions and how much milk it produces.

Early tests are reported to have improved "the overall emotional mood of the herd”.

A statement from the MAF reads: "Examples of dairy farms from different countries show that in a calm atmosphere, the quantity, and sometimes the quality, of milk increases markedly.”

The experiment is reported to be taking place at RusMoloko farm in the Ramensky District of Moscow.

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FIVP launches CMA remedies survey

News Story 1
 FIVP has shared a survey, inviting those working in independent practice to share their views on the CMA's proposed remedies.

The Impact Assessment will help inform the group's response to the CMA, as it prepares to submit further evidence to the Inquiry Group. FIVP will also be attending a hearing in November.

Data will be anonymised and used solely for FIVP's response to the CMA. The survey will close on Friday, 31 October 2025. 

Click here for more...
News Shorts
CMA to host webinar exploring provisional decisions

The Competition and Markets Authority (CMA) is to host a webinar for veterinary professionals to explain the details of its provisional decisions, released on 15 October 2025.

The webinar will take place on Wednesday, 29 October 2025 from 1.00pm to 2.00pm.

Officials will discuss the changes which those in practice may need to make if the provisional remedies go ahead. They will also share what happens next with the investigation.

The CMA will be answering questions from the main parties of the investigation, as well as other questions submitted ahead of the webinar.

Attendees can register here before Wednesday, 29 October at 11am. Questions must be submitted before 10am on 27 October.

A recording of the webinar will be accessible after the event.