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Algorithm created to reveal pig emotion
(Caption here)
Scientists have developed an algorithm based on pig calls. 

A study from an international team of researchers has designed an algorithm to decode whether an individual pig is experiencing a positive or negative emotion, depending on its grunts.

The researchers, from Denmark, Switzerland, France, Germany, Norway and the Czech Republic, used over 7000 audio recordings of pigs, taken in both commercial and experimental scenarios, to develop the algorithm. 

Positive recordings were captured in situations such as when piglets suckled from their mothers, or when they were united with their family after being separated. Negative recordings were captured in situations including separation, fights between piglets, castration and slaughter. 

Researchers also created a variety of mock scenarios for the pigs, which were designed to evoke nuanced emotions, including an arena with toys or food, and a corresponding arena without stimuli. 

Analysing the recordings taken, the researchers discovered that more high-frequency calls were collected in negative situations, whereas low-frequency calls occurred in situations were the pigs experienced both positive and negative emotions.

It was also discovered that the pigs' vocalisations were far shorter, with minor fluctuations in amplitude in positive situations. 

Associate professor Elodie Briefer, from the University of Copenhagen, explained: "With this study, we demonstrate that animal sounds provide great insight into their emotions. 

“We also prove that an algorithm can be used to decode and understand the emotions of pigs, which is an important step towards improved animal welfare for livestock.

“By training an algorithm to recognize these sounds, we can classify 92% of the calls to the correct emotion.” 

The research team believe that the algorithm created could be useful for monitoring livestock and ensuring pig welfare. 

“We have trained the algorithm to decode pig grunts. Now, we need someone who wants to develop the algorithm into an app that farmers can use to improve the welfare of their animals,” Elodie added. 

Published in Scientific Reports, the study is available to read here. 

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Practices urged to audit neutering data

News Story 1
 RCVS Knowledge has called on vet practices to audit their post-operative neutering outcomes.

It follows the release of the 2024 NASAN benchmarking report, which collates data from neutering procedures performed on dogs, cats and rabbits.

The benchmarking report enables practices in the UK and Ireland to compare their post-operative outcomes to the national average. This includes the rate of patients lost to follow-up, which in 2024 increased to 23 per cent.

Anyone from the practice can submit the data using a free template. The deadline for next report is February 2026.

Visit the RCVS Knowledge website to complete an audit. 

Click here for more...
News Shorts
UK's BSE risk status downgraded

The WOAH has downgraded the UK's international risk status for BSE to 'negligible'.

Defra says that the UK's improved risk status recognises the reputation for having the highest standards for biosecurity. It adds that it demonstrates decades of rigorous animal control.

Outbreaks of Bovine Spongiform Encephalopathy, also known as mad cow disease, have previously resulted in bans on Britain's beef exports.

The UK's new status could lead to expanded trade and better confidence in British beef.

Christine Middlemiss, the UK's chief veterinary officer, said: "WOAH's recognition of the UK as negligible risk for BSE is a significant milestone and is a testament to the UK's strong biosecurity measures and the hard work and vigilance of farmers and livestock keepers across the country who have all played their part in managing the spread of this disease.