2018
DOI: 10.1016/j.livsci.2017.11.019
|View full text |Cite
|
Sign up to set email alerts
|

Using kinematics to detect micro-behavioural changes relative to ovulation in naturally cycling tie-stall dairy heifers

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

1
1
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 6 publications
(2 citation statements)
references
References 36 publications
1
1
0
Order By: Relevance
“…However, the decrease in tail movement frequency on d −1 may be the better estrus indicator, as tail movements become more still as estrus approaches. Similar to the findings of Guesgen and Bench (2018), it may not be an increase in behavior frequency but rather the subsequent decrease in frequency that is the better estrus alert. Anecdotally, members of the research team noted that when tail movement frequency decreased the day before confirmed ovulation, cyclic cows tended to be more still overall and to move their tail to one side, and hold it there, to expose the vulva.…”
Section: Discussionsupporting
confidence: 60%
See 1 more Smart Citation
“…However, the decrease in tail movement frequency on d −1 may be the better estrus indicator, as tail movements become more still as estrus approaches. Similar to the findings of Guesgen and Bench (2018), it may not be an increase in behavior frequency but rather the subsequent decrease in frequency that is the better estrus alert. Anecdotally, members of the research team noted that when tail movement frequency decreased the day before confirmed ovulation, cyclic cows tended to be more still overall and to move their tail to one side, and hold it there, to expose the vulva.…”
Section: Discussionsupporting
confidence: 60%
“…More recently, subtle microbehavior biometrics that are thought to prime more overt behavioral indicators of physiological changes associated with ovulation have also been used within a tiestall environment to assess estrus (Guesgen and Bench, 2018). The de novo application of combined behavioral biometrics and IRT in tiestall housing and automated milking systems may serve to further optimize the accuracy of estrus alerts compared with visual observation methods.…”
Section: Introductionmentioning
confidence: 99%