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Reproductive management in dairy cows - the future
Mark A Crowe1, Miel Hostens2, Geert Opsomer2
1UCD School of Veterinary Medicine, University College Dublin, Belfield, Dublin 4 Ireland.
Improving dairy cow fertility involves managing large datasets, genetic selection, and advanced reproductive technologies. Future advancements include novel fertility markers, early pregnancy detection, and automated monitoring systems for better herd health.
Area of Science:
- Veterinary Science
- Animal Reproduction
- Dairy Herd Management
Background:
- Increasing dairy herd sizes and technological advancements are reshaping herd health management.
- European quota removal has also influenced dairy farm operations and strategies.
Purpose of the Study:
- To review the current status and future outlook of key factors influencing dairy cow reproductive performance.
- To identify areas for improvement in dairy herd fertility management.
Main Methods:
- Review of current literature on dairy cow fertility management.
- Analysis of key areas including data handling, genetic selection, nutrition, disease control, and reproductive technologies.
- Discussion of emerging technologies and future developments.
Main Results:
- Key areas for improving fertility include data management, genetic selection, nutrition, disease control, and advanced reproductive technologies.
- Current strategies involve improved phenotypes, transition cow management, and oestrous synchronisation.
- Automated systems and rapid diagnostics are crucial for enhancing reproductive management.
Conclusions:
- Future developments include novel fertility phenotypes (e.g., in milk), specific genomic markers, and earlier pregnancy detection.
- Increased use of activity monitors, improved breeding protocols, and affordable inline sensors are anticipated.
- Leveraging "Big Data" will be essential for improving dairy cow performance, health, and fertility.
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