Suppr超能文献

使用超声波传感器阵列和数字红外热成像技术进行可量化且可行的发情检测。

Quantifiable and feasible estrus detection using the ultrasonic sensor array and digital infrared thermography.

作者信息

Lee Ji Hwan, Lee Dong Hoon, Yun Won, Oh Han Jin, An Ji Seon, Kim Young Gwang, Kim Gok Mi, Cho Jin Ho

机构信息

Division of Food and Animal Science, Chungbuk National University, Cheongju 28644, Korea.

Department of Biosystems Engineering, Chungbuk National University, Cheongju 28644, Korea.

出版信息

J Anim Sci Technol. 2019 May;61(3):163-169. doi: 10.5187/jast.2019.61.3.163. Epub 2019 May 31.

Abstract

Detection of estrus is an essential factor as a method of successful breeding in the sow. As increasing the adaption of the information and communication technology (ICT) into swine industry, this study focuses on a possibility and quantification of standing time, vulva and body temperature as methods of estrus detection, comparing each time and temperature in estrus and non-estrus period, and analyzing each success rate of new and existing methods. Ultrasonic sensor array and digital infrared thermography were used to evaluate whether new methods such as standing time and number, and vulva and skin temperature can be replaced, or these methods can be quantifiable in estrus period. Ultrasonic sensor array was installed beside the stall and digital infrared thermography was placed in the rear of sow to collect the dates of sow in estrus and non-estrus period. This study showed total standing time, number and number over 10 minutes, and vulva temperature of the sow in estrus period were increased ( < 0.05) compared with those of sow in non-estrus period, respectively. Detection of estrus using standing time and vulva temperature tended ( = 0.06) to increase the success rate when artificial insemination (AI) was performed. In conclusion, standing time and vulva temperature increased when estrus happened. Success rate of AI of sow using these methods showed an increasing trend. Therefore, existing method using the naked eye can be replaced to new method such as vulvar temperature and standing time when detecting the estrus.

摘要

发情检测是母猪成功繁殖方法中的一个关键因素。随着信息通信技术(ICT)在养猪业中的应用日益增加,本研究聚焦于站立时间、外阴和体温作为发情检测方法的可能性及量化,比较发情期和非发情期的每次时间和温度,并分析新方法和现有方法的成功率。使用超声波传感器阵列和数字红外热成像技术来评估站立时间和次数、外阴及皮肤温度等新方法是否可替代,或者这些方法在发情期是否可量化。超声波传感器阵列安装在猪栏旁边,数字红外热成像仪放置在母猪后方,以收集母猪发情期和非发情期的数据。本研究表明,发情期母猪的总站立时间、站立次数及站立超过10分钟的次数,以及外阴温度,与非发情期母猪相比均有所增加(P<0.05)。在进行人工授精(AI)时,利用站立时间和外阴温度检测发情,成功率有上升趋势(P=0.06)。总之,发情时站立时间和外阴温度会升高。使用这些方法进行母猪人工授精的成功率呈上升趋势。因此,在检测发情时,现有的肉眼观察方法可被诸如外阴温度和站立时间等新方法所取代。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e752/6582922/d3198624e15d/jast-61-3-163-g1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验