Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-25437
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dc.contributor.authorMüller, Antonia-
dc.contributor.authorGlüge, Stefan-
dc.contributor.authorVidondo, Beatriz-
dc.contributor.authorWróbel, Anna-
dc.contributor.authorOtt, Thomas-
dc.contributor.authorSieme, Harald-
dc.contributor.authorBurger, Dominik-
dc.date.accessioned2022-08-11T13:41:35Z-
dc.date.available2022-08-11T13:41:35Z-
dc.date.issued2022-07-19-
dc.identifier.issn0093-691Xde_CH
dc.identifier.issn1879-3231de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/25437-
dc.description.abstractPrediction of impending foaling is highly desirable as early intervention may improve mare and foal outcomes. However, monitoring the peripartum mare is a time-consuming challenge for breeders and many foaling prediction systems have limitations. "Heating up" of the mare is empirically used by breeders as a sign of upcoming parturition in mares. The purpose of this study was to investigate if an increase in skin temperature shortly before parturition is detectable and to determine whether such physiological changes could be an additional valuable parameter to predict foaling. For that, 56 foalings of 14 Warmblood mares, 5 Arabian mares, 27 Thoroughbred mares, and 2 mares of other breeds were analyzed in this 2-year-study. Eight mares were monitored in both years. Mares were between 4 and 22 years old (average: 10 ± 5.5 years) and the mean pregnancy length was 342 days (±9 days), resulting in 14 births from primiparous mares and 42 multiparous mares. For monitoring the periparturient mares, the Piavet® system (Piavita AG, Zurich, Switzerland) was fixed daily when the mares had returned from the field between 4:00 and 6:00 p.m. and collected the next morning between 6:30 and 7:30 a.m. until the time of foaling. Nocturnal rhythms of the skin temperature with the highest values at the start of measurements and a nadir at 6:00 a.m. were observed. On the foaling night, we found a rise in skin temperature starting on average around 90 min prepartum. Skin temperatures recorded at 50 min before parturition and at each 5 min time point until rupture of the allantochorion were significantly higher (p < 0.05) than the mean temperatures measured in the 5 nights before parturition at the same time, reaching a difference of approximately 0.5 °C. There was a significant effect of parity (p = 0.04) on skin temperature during the last hours before foaling where primiparous mares showed a higher mean temperature than uni- or pluriparous mares as early as from 180 min on before parturition. In conclusion, our study shows an increase in skin temperature in most mares within 90 min before birth. Using new biomechanical and digital technologies, this finding could generate an additional potential parameter for the detection of impending parturition. However, skin temperature cannot be used as the only predictive diagnostic of impending parturition in the absence of other parameters.de_CH
dc.language.isoende_CH
dc.publisherElsevierde_CH
dc.relation.ispartofTheriogenologyde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectEquinede_CH
dc.subjectFoalingde_CH
dc.subjectMachine learningde_CH
dc.subjectSkin temperaturede_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.subject.ddc590: Tiere (Zoologie)de_CH
dc.titleIncrease of skin temperature prior to parturition in maresde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
dc.identifier.doi10.1016/j.theriogenology.2022.07.007de_CH
dc.identifier.doi10.21256/zhaw-25437-
dc.identifier.pmid35932522de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end51de_CH
zhaw.pages.start46de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume190de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedBio-Inspired Modelling and Learning Systemsde_CH
zhaw.funding.zhawPiaBreed: Machine Learning zur automatisierten Ovulations- und Geburtsüberwachung am Pferdde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen Life Sciences und Facility Management

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