September 5, 2025DairyOpen Access

Enhancing Genomic Selection in Dairy Cattle Through Artificial Intelligence: Integrating Advanced Phenotyping and Predictive Models to Advance Health, Climate Resilience, and Sustainability

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Significantly enhances genomic selection accuracy in dairy cattle using AI and advanced phenotyping technologies.
Key applications include improved resistance to diseases, increased milk yield, and enhanced climate resilience.
Integration of sensor-derived data and environmental information is crucial for effective data-driven breeding decisions.
This review outlines challenges including data integration and ethical considerations in low-resource settings.

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Implication

This review explores genomic selection improvements in dairy cattle using artificial intelligence and phenotyping, highlighting implications for health and sustainability.

Cite This Study

Džermeikaitė et al. (2025) studied this question.

synapsesocial.com/papers/68c23a74b210217d64780049 https://doi.org/10.3390/dairy6050050

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Implication

This review explores genomic selection improvements in dairy cattle using artificial intelligence and phenotyping, highlighting implications for health and sustainability.

Enhancing Genomic Selection in Dairy Cattle Through Artificial Intelligence: Integrating Advanced Phenotyping and Predictive Models to Advance Health, Climate Resilience, and Sustainability

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Discussion

Implication

Cite This Study

Enhancing Genomic Selection in Dairy Cattle Through Artificial Intelligence: Integrating Advanced Phenotyping and Predictive Models to Advance Health, Climate Resilience, and Sustainability

Key Points

Discussion

Implication

Cite This Study