Literature DB >> 15721655

Predicting time of parturition from changing vaginal temperature measured by data-logging apparatus in beef cows with twin fetuses.

M Aoki1, K Kimura, O Suzuki.   

Abstract

Vaginal temperatures (VT) of crossbred (Japanese Black crossed Holstein-Friesian) beef cows (n = 31) were measured by a data-logging apparatus to obtain serial data from days 0 to 6 before parturition. For both single and twin pregnancies, no significant differences were observed in VT during days 3-6 before parturition. Maternal VT was not affected by maternal weight just after parturition, parity, fetal sex, or total fetal litter weight. Average of twin litter weights for two males (MM) and two females (FF) had the strong positive correlations (r = 0.84; P < 0.05) with maternal VT, whereas twin weights of mixed-gender twins (FM) did not correlate with maternal VT (r = -0.26; P = 0.61). Maternal temperature decreased as weights of the female fetus of FM twins became heavier (r = -0.82; P < 0.05). In contrast, maternal VT of FF and MM twins increased as twin weights increased. We defined when the VT began to decrease before parturition by two different methods. One was the "same hours method" where differences in VT between a particular time of day and the corresponding time of the preceding day were compared when the VT was consistently > or =0.3 or > or =0.5 degrees C for more than 3h. The second method was the "maximum-minimum method" where decreased in the maximum or the minimum values of the day over > or =0.3 and > or =0.5 degrees C were compared to values of preceding day. Onset of decreased VT before expulsion was not different between singletons and twins. In an attempt to define the critical condition in predicting parturition, we estimated assumable predicting probability using the 31 cows that were collected VT. When the parturition occurred within 60 h in the "same hours method" and 72 h since VT was > or =0.3 degrees C and in the "maximum-minimum method", the assumable probability was 100%. In verification experiment under these condition, the "same hours method" had a higher probability of predicting the time of parturition than the "maximum-minimum method", and it was possible to detect the onset of decreased VT at the correct time by the minutes. We concluded that "same hours method" was useful for predicting parturition time in cattle with single and twin pregnancies by the serial measurement of vaginal temperature.

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Year:  2005        PMID: 15721655     DOI: 10.1016/j.anireprosci.2004.04.046

Source DB:  PubMed          Journal:  Anim Reprod Sci        ISSN: 0378-4320            Impact factor:   2.145


  8 in total

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Journal:  Vet Res Commun       Date:  2010-06       Impact factor: 2.459

2.  Animal factors associated with core body temperature of nonlactating dairy cows during summer.

Authors:  Alexandre L A Scanavez; Breno Fragomeni; Luis G D Mendonça
Journal:  J Anim Sci       Date:  2018-12-03       Impact factor: 3.159

3.  Establishment of a standard operating procedure for predicting the time of calving in cattle.

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4.  Comparison between a Calving Predictive System and a Routine Prepartal Examination in German Holstein Heifers and Cows.

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Journal:  Vet Sci       Date:  2022-04-15

5.  Evaluation of remote monitoring of parturition in dairy cattle as a new tool for calving management.

Authors:  Claudio Palombi; Marco Paolucci; Giuseppe Stradaioli; Mario Corubolo; Paolo B Pascolo; Maurizio Monaci
Journal:  BMC Vet Res       Date:  2013-10-01       Impact factor: 2.741

6.  Decrease in body surface temperature before parturition in ewes.

Authors:  Hisashi Nabenishi; Atusi Yamazaki
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Review 7.  How to Predict Parturition in Cattle? A Literature Review of Automatic Devices and Technologies for Remote Monitoring and Calving Prediction.

Authors:  Martina Crociati; Lakamy Sylla; Arianna De Vincenzi; Giuseppe Stradaioli; Maurizio Monaci
Journal:  Animals (Basel)       Date:  2022-02-08       Impact factor: 2.752

8.  Prepartum change in ventral tail base surface temperature in beef cattle: comparison with vaginal temperature and behavior indices, and effect of ambient temperature.

Authors:  Masafumi Miwa; Shuichi Matsuyama; Sho Nakamura; Kohei Noda; Miki Sakatani
Journal:  J Reprod Dev       Date:  2019-10-06       Impact factor: 2.214

  8 in total

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