In the current context of reduced antibiotic use, the climate change emergency and the limited availability of resources, efficient and sustainable animal production requires more robust, resilient animal populations that use food better.
In the Genetics and Animal Breeding program, we develop selection strategies to improve feed efficiency in pigs and rabbits and to reduce greenhouse gas emissions. In the case of pigs, we also study the genetic basis of their immune capacity to improve immunocompetence and disease resistance. For this reason, we also study the role of the microbiota on immunity, efficiency and animal welfare.
At the same time, in a context of digital transformation, we also work on digitalization, 4.0 technologies and data science applied to animal production and improvement. The program manages BDporc, a system that collects and analyzes Spanish pig production data with reference information and decision-making tools. Using technology, we develop systems that monitor animal behavior, health and welfare through artificial intelligence.
Immunometabolism in pigs
We study the genetic bases and molecular physiology to select the most robust and resilient animal populations in terms of health.
Microbiome
We study the interrelationships between intestinal microbiota, immunity and animal behavior in pigs for greater productive efficiency through improvements in animal welfare.
BDporc
We carry out digitalization, sensorization and augmented analytics so that the pig sector works efficiently and sustainably.
Optimization of resources in swine
We study the resources used in different pig genetics to achieve more efficient production with less environmental impact.
Food efficiency
We use genetic selection and animal management to improve feed efficiency in rabbits and pigs, promoting animal welfare and environmental sustainability.
Animal genetics and genomics
We conduct studies of the transcriptome, epigenome and metagenome in different animal species to improve genomic prediction models and reduce environmental impact.
Data science and artificial intelligence
We use big data systems (for example, computer vision systems, sensors or electronic feeders) and artificial intelligence tools for monitoring, phenotyping and prediction in production systems and within the framework of improvement programs.
The Spanish Pig Data Bank
