INTEGRATING CRISPR EPIGENETIC TOOLS WITH AI BEHAVIOR ANALYTICS FOR PRECISION LIVESTOCK BREEDING IN CLIMATE-VULNERABLE ECOSYSTEMS
The convergence of CRISPR-based epigenetic modulation with artificial intelligence (AI)-driven behavior analytics offers a transformative pathway for precision livestock breeding. In the context of 2023, where agricultural systems face climate-driven stressors, such integration is pivotal for optimizing traits such as heat tolerance, disease resistance, and productivity in vulnerable ecosystems. This paper explores a multilayered framework that integrates CRISPR tools targeting epigenetic markers and machine learning algorithms analyzing livestock behavioral datasets to facilitate informed breeding decisions.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-06
- DOI
- https://doi.org/10.5281/zenodo.15607539
- Primary Topic
- CRISPR and Genetic Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00