Automated electronic systems for the detection of oestrus and timing of AI in cattle
Automated electronic systems for the detection of oestrus and timing of AI in cattle
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DOI：
10.1016/s0378-4320(00)00090-7
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发表时间：
2000-07-02
影响因子：
2.2
通讯作者：
Bame, JH
中科院分区：
文献类型：
--
作者：
Nebel, RL;Dransfield, MG;Bame, JH
对于大多数实行人工授精（AI）的奶牛群来说，获得高效繁殖性能的限制因素是未能及时、准确地检测发情。定期目视观察是识别奶牛发情的主要方法。正在开发新方法来提供使用电子技术检测发情的自动化系统。发情检测计划的目标应该是积极、准确地识别所有骑车动物的发情，从而识别不骑车的动物。最终目标应该是预测排卵时间，从而允许授精，从而最大限度地增加受孕机会。不幸的是，大多数旨在评估 AI 最佳时间的研究通常存在两个技术缺陷：用于有效统计比较的奶牛数量不足，以及由于目视观察频率和/或用于发情检测的方法效率低而对发情开始的了解不准确。使用计步器和压力传感无线电遥测系统的研究将进行审查，因为每个研究都独立获得了在运动活动增加后或在第一次相关的站立事件后 5 至 17 小时的 Al 最佳时间。随着发情的开始。 (C) 2000 Elsevier Science B.V. 保留所有权利。
For the majority of dairy herds where artificial insemination (AI) is practiced, the limiting factor toward obtaining efficient reproductive performance is the failure to detect oestrus in a timely and accurate manner. Periodic visual observation has been the dominant method used to identify cows in oestrus. New approaches are being developed to provide automated systems of detection of oestrus using electronic technology. The goal of an oestrus detection program should be to identify oestrus positively and accurately in all cycling animals and consequently to identify animals not cycling. The ultimate goal should be to predict the time of ovulation, thus allowing for insemination that will maximize the opportunity for conception. Unfortunately, most studies designed to evaluate the optimal time of AI generally contained two technical deficiencies: inadequate numbers of cows for valid statistical comparisons and inaccurate knowledge of the onset of oestrus because of low frequency of visual observations and/or efficiency of methods used for the detection of oestrus, Studies using pedometry and a pressure sensing radiotelemetric system will be reviewed as each have independently obtained an optimal time of Al of 5 to 17 h after either the increase in locomotive activity or following the first standing event associated with the onset of oestrus. (C) 2000 Elsevier Science B.V. All rights reserved.