title: Comparison of three devices for the automated detection of estrus in dairy cows.
abstract: Considerable technological advances have been made in the automated detection of estrus in dairy cattle, but few studies have evaluated their relative performance on the same animals or assessed cow-related factors that affect their performance. Our objective was to assess the performance and reliability of three devices commercially available in France for cow estrus detection. The devices were a pedometer (PM; Afitag) and two activity meters (AM1; Heatime-RuminAct, and AM2; HeatPhone). Two algorithms were tested for AM2. We fitted 63 lactating Holstein cows with the three detectors from calving to 90 days after calving. The onset and pattern of cyclicity were monitored from 7 to 90 days postpartum measuring progesterone concentration in milk twice weekly. A total of 211 ovulations were identified. Cyclicity was classified as normal in 60% of cows (38/63). Calculated over the operating period of all the devices (179 periods of estrus), the sensitivities and positive predictive values were, respectively, 71% and 71% for PM, 62% and 84% for AM1, 61% and 67% for the first algorithm of AM2, and 62% and 87% for the second algorithm of AM2. Both activity meters had a lower sensitivity but a higher positive predictive value than the PM (P < 0.05). For all devices, the performance in estrus detection was much poorer at the first postpartum ovulation than at subsequent ovulations (P < 0.05). Lactation rank and milk production affected some devices (P < 0.05). These devices could be used to reinforce visual observations, especially after 50 days postpartum, the minimum recommended delay to insemination. However, their full benefit remains to be verified in different farming systems and taking into account the specific objectives of the dairy farmer.
authors.affiliation: Institut de l'Elevage, Paris, France. Electronic address: audrey.chanvallon@idele.fr.
authors.forename: Audrey
authors.initials: A
authors.lastname: Chanvallon
authors.affiliation: Institut de l'Elevage, Paris, France.
authors.forename: Stéphanie
authors.initials: S
authors.lastname: Coyral-Castel
authors.affiliation: UNCEIA, R&D, Maisons-Alfort, France.
authors.forename: Julie
authors.initials: J
authors.lastname: Gatien
authors.affiliation: Chambre d'Agriculture de Maine-et-Loire, Angers, France.
authors.forename: Jean-Michel
authors.initials: JM
authors.lastname: Lamy
authors.affiliation: Institut de l'Elevage, Paris, France.
authors.forename: Daniéle
authors.initials: D
authors.lastname: Ribaud
authors.affiliation: Institut de l'Elevage, Paris, France.
authors.forename: Clément
authors.initials: C
authors.lastname: Allain
authors.affiliation: LUNAM Université, Oniris, UMR BioEpAR, Nantes, France.
authors.forename: Pierre
authors.initials: P
authors.lastname: Clément
authors.affiliation: UNCEIA, R&D, Maisons-Alfort, France.
authors.forename: Pascal
authors.initials: P
authors.lastname: Salvetti
mesh_terms: D000818:Animals; D002417:Cattle / Q000502:physiology*; D004971:Estrus / Q000502:physiology; D004972:Estrus Detection / Q000295:instrumentation* / Q000379:methods; D005260:Female; D008991:Monitoring, Physiologic / Q000295:instrumentation / Q000662:veterinary*; D009043:Motor Activity / Q000502:physiology
keywords: Activity monitoring; Automated estrus detection; Dairy cow