Performance and optimization of an ear tag automated activity monitor for estrus prediction in dairy heifers.


Journal

Theriogenology
ISSN: 1879-3231
Titre abrégé: Theriogenology
Pays: United States
ID NLM: 0421510

Informations de publication

Date de publication:
01 Oct 2020
Historique:
received: 20 04 2020
revised: 15 06 2020
accepted: 16 06 2020
pubmed: 30 7 2020
medline: 22 6 2021
entrez: 30 7 2020
Statut: ppublish

Résumé

The objectives of this study were to evaluate the performance of the SCR eSense ear tag automated activity monitor (AAM) to detect estrus behavior in Holstein heifers and to determine the optimal time from estrus alert to artificial insemination (AI) using sex-sorted or conventional semen. In total, 281 heifers were fitted with the AAM once eligible for breeding (>13.5 m of age). For the first AI, estrus was synchronized using 500 μg of cloprostenol (PGF), given 14 d apart, and heifers were given estrus detection patches (Estrotect™) after the second PGF. Heifers were inseminated at randomly attributed times after high activity alert from the AAM system or if the estrus patch had ≥ 50% colour change. Most heifers received sex-sorted semen for the first AI and conventional semen for subsequent inseminations. Pregnancy diagnosis was performed at 30 d post AI and heifers had four opportunities to become pregnant. In a subset of heifers (n = 149), ovaries were scanned every 12 h from the time of AI until ovulation (OV). The system recorded a heat index (measure of estrus strength), maximum activity change, maximum rumination change and duration of high activity. The sensitivity was 91.0%, with a false positive and false negative rate of 8.0%, and the positive predictive value to detect true estrus events was 83.5%. Pregnancy per AI to first AI was 67.6% and 97.9% of heifers become pregnant after four inseminations. Most false positive estrus events had a heat index < 45 and a rumination change < -20, while false negative events had a rumination change ≥ -20. Odds of pregnancy was not associated with any estrus characteristics measured by the system. However, pre-ovulatory follicle diameter had a weak correlation (r < 0.25) with all estrus characteristics. The average (range) interval of onset of high activity, peak activity and end of high activity to OV was 28 h (16-46 h), 22 h (10-40 h) and 16 h (0-36 h), respectively. For conventional semen, each hour increase in interval from activity onset or peak activity to AI reduced the predicted probability of pregnancy by 3.8 and 4.2%, respectively. For sex-sorted semen, the relationship between activity onset or peak activity to AI and predicted probability of pregnancy was quadratic, but not significant. Overall, the SCR eSense ear tag AAM performed well and strategies to identify false positive and false negative estrus events, along with optimization of timing of AI, should further improve performance in Holstein heifers.

Identifiants

pubmed: 32721698
pii: S0093-691X(20)30368-X
doi: 10.1016/j.theriogenology.2020.06.018
pii:
doi:

Types de publication

Journal Article Randomized Controlled Trial, Veterinary

Langues

eng

Sous-ensembles de citation

IM

Pagination

197-204

Informations de copyright

Crown Copyright © 2020. Published by Elsevier Inc. All rights reserved.

Auteurs

K Macmillan (K)

Livestock Gentec, University of Alberta, Edmonton, AB, T6G 2C8, Canada.

M Gobikrushanth (M)

Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK, S7N 5B4, Canada.

G Plastow (G)

Livestock Gentec, University of Alberta, Edmonton, AB, T6G 2C8, Canada.

M G Colazo (MG)

Livestock Systems Section, Alberta Agriculture and Forestry, Edmonton, AB, T6H 5T6, Canada. Electronic address: marcos.colazo@gov.ab.ca.

Articles similaires

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male
Humans Meals Time Factors Female Adult

Classifications MeSH