Using deep learning models as a genetic architecture for the simulation of breeding schemes.

Abstract excerpt

In several simulation studies, long-term selection led to the rapid depletion of genetic variance. These outcomes differ from real-life observations that we aim to replicate, thereby highlighting a fundamental limitation of current classical quantitative genetic simulation models. Deep learning (DL) models have demonstrated promising results in capturing complex interactions essential for maintaining genetic...

Topics

• Deep Learning
• Models, Genetic
• Breeding
• Animals
• Computer Simulation
• Genetic Variation
• Swine