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Table 1.

Ethogram of sheep and goat behaviours under direct observation and video observation.

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Table 1 Expand

Fig 1.

MSR-jaw-movement recording system outside the halter (top) and integrated in the halter worn by a sheep (bottom).

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Fig 1 Expand

Fig 2.

Screenshot of the graphical Viewer2 output.

The pressure (mbar) is plotted against the clock time (x-axis) in a black line. The colour shaded areas indicate the periods classified as behaviour with the legend on the top. Sequences at the start (or end) of a recording that are recognised as behaviour cannot be classified (“no classification”), since the start (or end) of the behaviour is missing. The sequences classified as neither of the two behaviours are shown in white. The sequences classified as “grazing” when both behaviours occur during one recording are not represented in this file.

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Fig 2 Expand

Table 2.

Definition of the positive and negative classifications used to assess the agreement of Viewer2 with the continuous direct and video observation recordings as reference.

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Table 2 Expand

Table 3.

Percentages of correctly and incorrectly classified seconds of Viewer2 compared with the observed behaviour of sheep and goats on pasture and in the pen at 10 Hz and 20 Hz (both species presented together as no relevant difference could be statistically detected in the analyses).

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Table 3 Expand

Fig 3.

Estimated mean (square with error bar of 95% confidence interval) parameters of agreement of Viewer2 for feeding and ruminating with observed values of goats (dots) and sheep (circles).

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Fig 3 Expand

Fig 4.

Distribution of feeding and ruminating (mean ± standard deviation (shaded area)) of 24 sheep and 24 goats on three different mixed rations (HH, GH and MG, Table 1) over 24 h, with feed delivery (blue triangles) at 09:00, 11:00 and 15:00.

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Fig 4 Expand

Table 4.

Variance of random effects of the linear mixed effects models of three Viewer2 output variables without fixed effects and listed random effects; Significance level of the random effect ‘Logger’ through model comparison.

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Table 4 Expand