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Research on the computer processing of the biological information in farm animals. (2) Analysis of data on calving and estrous period in cattle.

家畜生物信息的计算机处理研究。

基本信息

批准号：
63560250
负责人：
KASHIWAMURA Fumiro
金额：
$ 1.09万
依托单位：
Obihiro University of Agriculture and Veterinary Medicine
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (C)
财政年份：
1988
资助国家：
日本
起止时间：
1988 至 1989
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-63560250/
关键词：
Cattle Calving Estrus Body Temperature Biological Information Data logger

项目摘要

Out of the physiological informations of cattle, the body temperature can be the most applicable parameter for predicting the time of calving and detecting the estrus. Hence we focused on the body temperature fluctuations measured by the portable data logger on cattle under the practical farm condition in this series of experiments.1. Temperature changes in estrus: 7 Holstein heifers and 8 estrous phases were used. The lowest body temperature (vaginal temperature) in a day changed clearly in peri-estrus period and results are summarized as follow. (1) The lowest temperature began falling from two or three days before estrus. The range of the drop varied from 0.1 to 0.8 ﾟC. (2) The temperature rose by 0.3 to 0.6 ﾟC in the morning of the estrous day compared with the day before. (3) If the estrus prolonged for two days, in the second day the temperature remained in a higher level. (4) In the post-estrus the temperature fell to the previous levels immediately.2. In the calving trial, 24 Holstein cows were used and the results were as follow. (1) The Body temperature rose between 3 and 1 days before calving and dropped thereafter. (2) Temperature rose more clearly during the night hours. (3) Some relationships between the calving time and body temperature fluctuations were suggested.3. As additional results it was found that the body temperature fluctuations consisted of three components as shown bellow. And the filtering method using the moving average, worked well for this purpose. (1) Circadian rhythm ; lowest in the morning and highest in the evening. (2) Rhythm which correspond with feeding interval ; heat increment after eating. (3) Fluctuations of 3 to 5 hours interval ; caused by lying and standing. The software program for more precise heat detection and calving time prediction are developing according to these results.

在牛的生理信息中，体温是预测产犊时间和检测发情最适用的参数。因此，本系列实验主要关注的是便携式数据记录仪在农场实际条件下测量的牛体温波动情况。 1．发情期温度变化：使用7头荷斯坦小母牛和8个发情期。一天中的最低体温（阴道温度）在围发情期有明显变化，结果总结如下。 (1)最低气温从发情前两三天开始下降。下降范围为 0.1 至 0.8 °C。 (2)发情日早晨体温比前一天升高0.3～0.6℃。 (3)如果发情期延长两天，第二天体温仍保持在较高水平。 (4)发情后气温立即回落至发情前水平。2．在产犊试验中，使用了24头荷斯坦奶牛，结果如下。 (1)产犊前3～1天体温上升，产后下降。（2）夜间气温上升较为明显。 (3)提出了产犊时间与体温波动之间的关系。3．作为额外的结果，我们发现体温波动由三个部分组成，如下所示。使用移动平均线的过滤方法非常适合此目的。 (1)昼夜节律；早上最低，晚上最高。 (2)与喂食间隔相对应的节奏；饭后热量增加。 (3) 3至5小时间隔的波动；由躺着和站着引起的。正在根据这些结果开发用于更精确的发情检测和产犊时间预测的软件程序。