Publikationsdatenbank

Enhancing reproductive efficiency in dairy cows:
integrating automated activity monitoring systems with genomic selection for targeted reproductive management (2025)

Art

Vortrag

Autor

Borchardt, Stefan (WE 18)

Kongress

XI. National & V. International Congress of the Turkish Veterinary Gynecology Association

Fethyie, 30.10. – 01.11.2025

Quelle

XI. National & V. International Congress of the Turkish Veterinary Gynecology Association : 30 October – 02 November 2025

— S. 61–66

Sprache

Englisch

Verweise

URL (Volltext): https://plazaevent.com.tr/tvjd/TVJD_BILDIRI_OZETLERI_KITABI.pdf

Kontakt

Nutztierklinik

Königsweg 65
14163 Berlin
+49 30 838 62261
klauentierklinik@vetmed.fu-berlin.de

Abstract / Zusammenfassung

Targeted reproductive management (TRM) leverages individual cow data to optimize reproductive performance through tailored strategies. Automated activity monitoring (AAM) systems provide valuable insights into estrous behavior, enabling the identification of cows with different reproductive potentials during the voluntary waiting period (VWP). Cows expressing estrus early postpartum tend to have superior reproductive outcomes, while those with health disorders or anovulation benefit from synchronization protocols with exogenous hormones. Recent studies indicate that TRM can reduce hormonal use by up to 50% compared to 100% timed artificial insemination (TAI) without compromising overall fertility. Furthermore, integrating genomic predictions of fertility, such as daughter pregnancy rate (DPR), into TRM enhances precision in management decisions. Combining sensor data, health status, and genetic merit creates new opportunities for reproductive efficiency while addressing consumer concerns about hormone use. Continued research is needed to refine TRM tools and support wider adoption in commercial dairy operations.