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Integrating Crispr Epigenetic Tools With Ai Behavior Analytics for Precision Livestock Breeding in Climate-vulnerable Ecosystems

Year: 2025

Type: article

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15607539

Author: Researcher

Language: English

Topic: Genetic and phenotypic traits in livestock

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Zero hunger

Open Access status: green

OpenAlex ID: W6911827156

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