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novel approaches to expression and detection of oestrus in dairy cows

novel approaches to expression and detection of oestrus in dairy cows

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5.2.6.2 Activity Data Analysis<br />

Activity data collected over the trial period was analysed by plott<strong>in</strong>g activity<br />

aga<strong>in</strong>st date <strong>and</strong> time. This resulted <strong>in</strong> 12 activity read<strong>in</strong>gs daily <strong>of</strong> the<br />

mean activity for 2 hourly periods with peaks denot<strong>in</strong>g <strong>oestrus</strong>. Date <strong>and</strong><br />

time <strong>of</strong> activity <strong>in</strong>crease, peaks on the graph, were used <strong>to</strong> confirm <strong>oestrus</strong><br />

detected by UWB <strong>and</strong> <strong>to</strong> compare methods <strong>of</strong> <strong>detection</strong>.<br />

5.2.6.3 Analysis <strong>of</strong> CCTV <strong>and</strong> Visual Records<br />

After POC 1 CCTV video footage recorded dur<strong>in</strong>g the trial was analysed <strong>in</strong><br />

order <strong>to</strong> record the mount<strong>in</strong>g behaviour <strong>of</strong> each cow <strong>in</strong> <strong>oestrus</strong>. The quality<br />

<strong>of</strong> data from POC 1 was poor due <strong>to</strong> lack <strong>of</strong> cont<strong>in</strong>uity <strong>of</strong> data collection,<br />

but selected <strong>oestrus</strong> data could be determ<strong>in</strong>ed from the UWB raw data by<br />

compar<strong>in</strong>g the time <strong>of</strong> <strong>oestrus</strong> events with the CCTV record<strong>in</strong>g.<br />

The visual records <strong>of</strong> <strong>oestrus</strong> from POC 2 <strong>and</strong> POC 3 were compared with<br />

UWB data <strong>to</strong> determ<strong>in</strong>e if the specific positions associated with oestrous<br />

behaviour were recorded by UWB. The visual records were then compared<br />

<strong>to</strong> UWB data which had been analysed au<strong>to</strong>matically by script algorithms <strong>to</strong><br />

determ<strong>in</strong>e the accuracy <strong>of</strong> the script at predict<strong>in</strong>g <strong>in</strong>dividual episodes <strong>of</strong><br />

mount<strong>in</strong>g <strong>and</strong> st<strong>and</strong><strong>in</strong>g <strong>to</strong> be mounted.<br />

CCTV footage from POC 3 was also used <strong>to</strong> confirm or deny any mounts<br />

declared by au<strong>to</strong>mated script analysis that did not correspond <strong>to</strong> visual<br />

records. These were either due <strong>to</strong> the UWB system or human error.<br />

5.2.6.4 UWB Analysis<br />

UWB data were analysed <strong>to</strong> determ<strong>in</strong>e if mount<strong>in</strong>g had been recorded by<br />

<strong>in</strong>creases <strong>in</strong> the Z position<strong>in</strong>g coord<strong>in</strong>ates. The UWB data were then<br />

analysed by an au<strong>to</strong>mated script (MatLab R2009b, The MathWorks, Inc.,<br />

US) <strong>to</strong> determ<strong>in</strong>e episodes <strong>of</strong> oestrous behaviour by the <strong>cows</strong> relative<br />

position <strong>in</strong> relation <strong>to</strong> each other. F<strong>in</strong>ally, au<strong>to</strong>mated script s<strong>of</strong>tware was<br />

developed <strong>to</strong> detect <strong>cows</strong> <strong>in</strong> <strong>oestrus</strong>.<br />

5.2.6.4.1 UWB Data<br />

UWB raw data were analysed aga<strong>in</strong>st the times <strong>of</strong> mount<strong>in</strong>g events<br />

recorded by visual observation <strong>to</strong> determ<strong>in</strong>e whether the elevation <strong>in</strong><br />

height that occurred dur<strong>in</strong>g mount<strong>in</strong>g had been recorded by UWB. Mounts<br />

were recorded as ‘identified mounts’ if the events that were visually<br />

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