2018
DOI: 10.1016/j.anireprosci.2018.08.012
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Infrared technology for estrous detection in Chinchilla lanigera

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Cited by 6 publications
(4 citation statements)
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“…The temperature of the external genital region rises dramatically during estrus, obviously due to genital congestion. This finding may be utilized to non-invasively diagnose estrus, which is crucial because this species lacks conventional estrous behavior (Polit et al, 2018).…”
Section: And Discussionmentioning
confidence: 99%
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“…The temperature of the external genital region rises dramatically during estrus, obviously due to genital congestion. This finding may be utilized to non-invasively diagnose estrus, which is crucial because this species lacks conventional estrous behavior (Polit et al, 2018).…”
Section: And Discussionmentioning
confidence: 99%
“…Temperature changes in pregnant sows are monitored in real-time, which serves to determine their health. Depending on body temperature, it is possible to increase the birth rate of sows by organizing appropriate breeding tasks (Polit, 2018).…”
mentioning
confidence: 99%
“…Although there is no hyperemia or cyanosis in the vulva, this temperature increase is expected to be in parallel with the measurements in the eyes and nose, but the limited literature on the subject creates difficulties in interpretation. Due to the excessive hairiness of the perineal region in vulvar measurements, the application is not practical, and this situation is similar to previous studies (Polit et al, 2018). When measuring in future studies, it should be kept in mind that the hairs in the area, the fecal residue found on the rectum's outer surface and cannot be cleaned entirely, can create artifacts and prevent temperature measurement.…”
Section: )mentioning
confidence: 88%
“…An increase of more than 2.33 0 C was found in thermal images made due to hyperemia in the vulva in Chinchillas during the estrus period (Polit et al, 2018). Similarly, IRT can determine the vulvar temperature increase during estrus in rabbits and other livestock (Osawa et al, 2004;De Freitas et al, 2018;Façanha et al, 2018).…”
Section: )mentioning
confidence: 99%