The project ran from January 2021 to December 2023 and delivered the following results:

• In collaboration with Tetrabbit Ltd, a data structure was developed for storing data on the Rabbit server from the breeding sites, that were used for data analyses.
• We put a lot of emphasis on digitising the group sheets from historical data collection and converting the data into an analysable format. We have developed automated workflows for these to create a state-of-the-art data analysis environment.
• Data analysis workflows have been developed by introducing a variety of methodologies. The most significant of these are:
  • Correlation analysis was used to look for relationships between breeding traits.
  • Principal component analysis was used to answer the question of how well the components (groups) can represent a common characteristic.
  • We have developed a mortality prediction sytem for fattening rabbit togehter with an alerting system. To investigate its potential effectiveness, we have carried out a cost-benefit analysis. The prediction system comprises two major units:
    • We also created a dashboard for the visualisation of mortality data predictions, which is available to project participants via the Institute's website.
    • The daily alert notifies the staff on mortality anomalies via e-mail.