Publikationsdatenbank

Efficacy of an automated technology at detecting early postpartum estrus events:
can we detect resumption of cyclicity? (2023)

Art

Vortrag

Autoren

Borchardt, S. (WE 19)

Burnett, T. A.

Plenio, J. L. (WE 16)

Conceicao, R. S.

Cerri, R. L. A.

Madureira, A. M. L.

Kongress

ADSA Conference 2023

Ottawa, 25. – 28.06.2023

Quelle

Journal of dairy science : JDS

Bandzählung: 106

Heftzählung: Suppl. 1

Seiten: 203 – 204

ISSN: 0022-0302

Sprache

Englisch

Verweise

URL (Volltext): https://www.adsa.org/Portals/0/SiteContent/Docs/Meetings/2023ADSA/Abstracts_BOOK_2023.pdf

Kontakt

Tierklinik für Fortpflanzung

Königsweg 65
Haus 27
14163 Berlin
+49 30 838 62618
fortpflanzungsklinik@vetmed.fu-berlin.de

Abstract / Zusammenfassung

The objective of this study was to evaluate the efficacy of an automated activity monitor (AAM) at detecting early postpartum estrus events. A total of 192 lactating cows (primiparous = 73 and multiparous = 119) were enrolled in this study. Cows were continuously monitored by a collar-mounted AAM early postpartum (7 to 30 DIM). Transition cow health was assessed early postpartum. Calving was classified as assisted (forced extraction of a calf) and unassisted (normal calving). Retained fetal membrane (RFM), metritis (MET), hyperketonemia (KET), mastitis (MAST) and milk production were recorded. Estrus events were alerted by the AAM using the standard company thresholds. Blood samples, from the coccygeal vein, were collected at 15, 18, 21, 24, 28 and 30 DIM for progesterone (P4) analysis. Resumption of cyclicity was considered when P4 concentration was ≥1ng/mL in any collection day. Cows were considered anovular when P4 concentration was <1ng/mL on all collection days. Cows were classified as: True Positive – P4 ≥ 1ng/mL and at least one estrus alert; False Positive – P4 < 1ng/mL and at least one estrus alert; True Negative – P4 < 1ng/mL and no estrus alerts and False Negative – P4 ≥ 1ng/mL and no estrus alerts. Statistical analyses were performed by ANOVA using the linear mixed regression models (GLIMMIX) on SAS. The specificity and sensitivity of the sensor to detect cows which had resumed cyclicity were 84.0% and 34.1%, respectively. A total of 42.2% of cows had a false negative whereas only 15.9% of cows had a false positive estrus alert. Cows that were not cycling were more likely to have RFM (P = 0.03), MET (P < 0.001) and have an assisted calving (P = 0.02). There was no effect of milk production (P = 0.56), parity (P = 0.72), MAST (P = 0.45), KET (P = 0.63) on the resumption of cyclicity. None of the health events recorded in this study had and an effect on the proportion of cows that had a false negative event. In conclusion, the sensor has a high specificity for detecting anovular cows, but it has lower sensitivity, and thus not effective at detecting cyclic cows, perhaps due to silent estrus early postpartum.