In silico prediction of variant effects: promises and limitations for precision plant breeding.

Abstract excerpt

KEY MESSAGE: Sequence-based AI models show great potential for prediction of variant effects at high resolution, but their practical value in plant breeding remains to be confirmed through rigorous validation studies. Plant breeding has traditionally relied on phenotyping to select individuals with desirable traits-a process that is both costly and time-consuming. Increasingly, breeding strategies are shifting...

Topics

• Plant Breeding
• Computer Simulation
• Models, Genetic
• Genomics
• Machine Learning
• Genetic Variation