Literature DB >> 33358788

Sensitivity and specificity of a tail-activity measuring device for calving prediction in dairy cattle.

A L Voß1, C Fischer-Tenhagen1, A Bartel2, W Heuwieser3.   

Abstract

Efficient calving surveillance is essential for avoiding stillbirth due to unattended dystocia. Calving sensors can help detect the onset of parturition and thus ensure timely calving assistance if necessary. Tail-raising is an indicator of imminent calving. The objective of this study was to evaluate a tail-mounted inclinometer sensor (Moocall Ltd., Dublin, Ireland) and to monitor skin integrity after sensor attachment. Cows (n = 157) and heifers (n = 23) were enrolled at 275 d post insemination, and a sensor was attached to each cow's tail. Investigators checked for signs indicating the onset of stage II of parturition, verified the position of the sensor, and evaluated the skin integrity of the tail above and below the sensor hourly for 24 h/d. We used 5 different intervals (i.e., 1, 2, 4, 12, and 24 h until calving) to calculate sensitivity and specificity. Sensors continuously remained on the tail (i.e., within 3 cm of the initial attachment position) after initial attachment until the onset of calving in only 13.9% of animals (n = 25). Sensors were reattached until a calving event occurred (51.6%) or the animal was excluded for other reasons (34.4%). In 31 animals the sensor was removed because the tail was swollen or painful. Heifers were significantly less likely than cows to lose a sensor but more likely to experience tail swelling or pain. Depending on the interval preceding the onset of parturition, sensitivity varied from 19 to 75% and specificity from 63 to 96%.
Copyright © 2021 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  calving prediction; dystocia; parturition; sensor

Mesh:

Year:  2020        PMID: 33358788     DOI: 10.3168/jds.2020-19277

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  6 in total

1.  Comparison between a Calving Predictive System and a Routine Prepartal Examination in German Holstein Heifers and Cows.

Authors:  Lara Górriz-Martín; Annabel Koenig; Klaus Jung; Wiebke Bergforth; Dirk von Soosten; Martina Hoedemaker; Árpád Csaba Bajcsy
Journal:  Vet Sci       Date:  2022-04-15

2.  Assessment of Sensitivity and Profitability of an Intravaginal Sensor for Remote Calving Prediction in Dairy Cattle.

Authors:  Martina Crociati; Lakamy Sylla; Giuseppe Stradaioli; Maurizio Monaci; Alfonso Zecconi
Journal:  Sensors (Basel)       Date:  2021-12-14       Impact factor: 3.576

3.  Prediction of Cow Calving in Extensive Livestock Using a New Neck-Mounted Sensorized Wearable Device: A Pilot Study.

Authors:  Carlos González-Sánchez; Guillermo Sánchez-Brizuela; Ana Cisnal; Juan-Carlos Fraile; Javier Pérez-Turiel; Eusebio de la Fuente-López
Journal:  Sensors (Basel)       Date:  2021-12-02       Impact factor: 3.576

Review 4.  How to Predict Parturition in Cattle? A Literature Review of Automatic Devices and Technologies for Remote Monitoring and Calving Prediction.

Authors:  Martina Crociati; Lakamy Sylla; Arianna De Vincenzi; Giuseppe Stradaioli; Maurizio Monaci
Journal:  Animals (Basel)       Date:  2022-02-08       Impact factor: 2.752

5.  Prediction of 24-h and 6-h Periods before Calving Using a Multimodal Tail-Attached Device Equipped with a Thermistor and 3-Axis Accelerometer through Supervised Machine Learning.

Authors:  Shogo Higaki; Yoshitaka Matsui; Yosuke Sasaki; Keiko Takahashi; Kazuyuki Honkawa; Yoichiro Horii; Tomoya Minamino; Tomoko Suda; Koji Yoshioka
Journal:  Animals (Basel)       Date:  2022-08-16       Impact factor: 3.231

6.  Sensor and Video: Two Complementary Approaches for Evaluation of Dairy Cow Behavior after Calving Sensor Attachment.

Authors:  Johanna Pfeiffer; Olivia Spykman; Markus Gandorfer
Journal:  Animals (Basel)       Date:  2021-06-28       Impact factor: 2.752

  6 in total

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