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Technical note: Validation of a system for monitoring individual behavior of Holstein cows.

Authors :
Merenda VR
Figueiredo CC
González TD
Chebel RC
Source :
Journal of dairy science [J Dairy Sci] 2020 Aug; Vol. 103 (8), pp. 7425-7430. Date of Electronic Publication: 2020 Jun 10.
Publication Year :
2020

Abstract

The objectives of the 2 studies reported herein were to validate the accuracy of an automated monitoring device (AMD) to detect side lying, resting, activity, rumination, eating, walking, and panting in nonlactating and lactating dairy cows. Additionally, we aimed to determine whether the total time per cow-state recorded by the AMD within a 30-min interval corresponds to the total time per cow-state recorded simultaneously by visual observation. Study personnel (n = 2) observed pregnant nonlactating Holstein cows (n = 10) for 30 min in the morning and 30 min in the afternoon for 6 consecutive days and recorded continuously each cow-state. In study 2, study personnel (n = 2) observed lactating Holstein cows (n = 10) for 30 min in the morning and 30 min in the afternoon for 6 consecutive days. In both studies, cow-state was recorded every second, and within 1 min, the most prevalent cow-state was considered to be the behavior presented by the cow during that interval. Using the observer as the gold standard, test characteristics were calculated for the minute-by-minute interval analyses. For the 30-min interval analyses, the concordance correlation coefficient (p <subscript>c</subscript> ) and the coefficient of determination (R <superscript>2</superscript> ) between the total minutes for each cow-state recorded by the observer and the AMD were calculated. In study 1, for the minute-by-minute interval analyses, test characteristics were high for rumination (≥90.1%) and eating (≥73.8%), moderate for resting (≥62.9%), but negligible for medium activity (≥17%). For the 30-min interval analyses, the correlations between the total time of visual observations compared with the total time recorded by AMD for rumination (R <superscript>2</superscript> = 0.97, p <subscript>c</subscript> = 0.98) and eating (R <superscript>2</superscript> = 0.91, p <subscript>c</subscript> = 0.94) were very high, for resting (R <superscript>2</superscript> = 0.77, p <subscript>c</subscript> = 0.79) was high, and for medium activity (R <superscript>2</superscript> = 0.41, p <subscript>c</subscript> = 0.41) was low. In study 2, for the minute-by-minute interval analyses, test characteristics were high for rumination (≥79.4%), eating (≥74.2%), and resting (≥73.0%), but they were low for panting (≥31.3%) and negligible for medium activity (≥22.2%). For the 30-min interval analyses, the correlations were similar to study 1 (rumination: R <superscript>2</superscript> = 0.85, p <subscript>c</subscript> = 0.91; eating: R <superscript>2</superscript> = 0.95, p <subscript>c</subscript> = 0.97; resting: R <superscript>2</superscript> = 0.84, p <subscript>c</subscript> = 0.90; medium activity: R <superscript>2</superscript> = 0.44, p <subscript>c</subscript> = 0.57; and panting: R <superscript>2</superscript> = 0.21, p <subscript>c</subscript> = 0.42). In summary, the AMD used in this study provided accurate data regarding resting, rumination, and eating of pregnant nonlactating and lactating Holstein cows.<br /> (Copyright © 2020 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1525-3198
Volume :
103
Issue :
8
Database :
MEDLINE
Journal :
Journal of dairy science
Publication Type :
Academic Journal
Accession number :
32534923
Full Text :
https://doi.org/10.3168/jds.2019-17922