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1.
PLoS One ; 10(4): e0123111, 2015.
Article in English | MEDLINE | ID: mdl-25923725

ABSTRACT

Pig vocalisations convey information about their current state of health and welfare. Continuously monitoring these vocalisations can provide useful information for the farmer. For instance, pig screams can indicate stressful situations. When monitoring screams, other sounds can interfere with scream detection. Therefore, identifying screams from other sounds is essential. The objective of this study was to understand which sound features define a scream. Therefore, a method to detect screams based on sound features with physical meaning and explicit rules was developed. To achieve this, 7 hours of labelled data from 24 pigs was used. The developed detection method attained 72% sensitivity, 91% specificity and 83% precision. As a result, the detection method showed that screams contain the following features discerning them from other sounds: a formant structure, adequate power, high frequency content, sufficient variability and duration.


Subject(s)
Vocalization, Animal/classification , Animals , Area Under Curve , ROC Curve , Stress, Physiological , Swine , Tape Recording
2.
Res Vet Sci ; 97(1): 124-8, 2014 Aug.
Article in English | MEDLINE | ID: mdl-24957408

ABSTRACT

Most commonly, salivary cortisol is used in pig stress assessment, alternative salivary biomarkers are scarcely studied. Here, salivary cortisol and two alternative salivary biomarkers, haptoglobin and chromogranin A were measured in a pig stress study. Treatment pigs (n = 24) were exposed to mixing and feed deprivation, in two trials, and compared to untreated controls (n = 24). Haptoglobin differed for feed deprivation vs control. Other differences were only found within treatment. Treatment pigs had higher salivary cortisol concentrations on the mixing day (P < 0.05). Chromogranin A concentrations were increased on the day of refeeding (P < 0.05). Haptoglobin showed a similar pattern to chromogranin A. Overall correlations between the salivary biomarkers were positive. Cortisol and chromogranin A were moderately correlated (r = 0.49, P < 0.0001), correlations between other markers were weaker. The present results indicate that different types of stressors elicited different physiological stress responses in the pigs, and therefore including various salivary biomarkers in stress evaluation seems useful.


Subject(s)
Chromogranin A/metabolism , Haptoglobins/metabolism , Hydrocortisone/metabolism , Saliva/metabolism , Stress, Physiological/physiology , Sus scrofa/physiology , Animals , Biomarkers/metabolism , Crowding , Fluoroimmunoassay/veterinary , Food Deprivation/physiology , Immunoassay/veterinary , Linear Models , Sus scrofa/metabolism , Swine
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