Literature DB >> 10844237

Automated electronic systems for the detection of oestrus and timing of AI in cattle.

R L Nebel1, M G Dransfield, S M Jobst, J H Bame.   

Abstract

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 AI of 5 to 17 h after either the increase in locomotive activity or following the first standing event associated with the onset of oestrus.

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Mesh:

Year:  2000        PMID: 10844237     DOI: 10.1016/s0378-4320(00)00090-7

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


  6 in total

1.  Automatic Detection of Cow's Oestrus in Audio Surveillance System.

Authors:  Y Chung; J Lee; S Oh; D Park; H H Chang; S Kim
Journal:  Asian-Australas J Anim Sci       Date:  2013-07       Impact factor: 2.509

2.  Relationship between the timing of insemination based on estrus detected by the automatic activity monitoring system and conception rates using sex-sorted semen in Holstein dairy cattle.

Authors:  Eri Furukawa; Chihiro Kanno; Yojiro Yanagawa; Seiji Katagiri; Masashi Nagano
Journal:  J Reprod Dev       Date:  2022-05-30       Impact factor: 2.215

3.  Relationships between the appearances and changes of estrous signs and the estradiol-17β peak, luteinizing hormone surge and ovulation during the periovulatory period in lactating dairy cows kept in tie-stalls.

Authors:  Toshiaki Sumiyoshi; Tomomi Tanaka; Hideo Kamomae
Journal:  J Reprod Dev       Date:  2014-02-01       Impact factor: 2.214

4.  Genome-wide association for milk production and female fertility traits in Canadian dairy Holstein cattle.

Authors:  Shadi Nayeri; Mehdi Sargolzaei; Mohammed K Abo-Ismail; Natalie May; Stephen P Miller; Flavio Schenkel; Stephen S Moore; Paul Stothard
Journal:  BMC Genet       Date:  2016-06-10       Impact factor: 2.797

5.  An investigation of the time period within which frozen-thawed semen delivers a high conception rate in lactating dairy cows.

Authors:  Toshiaki Sumiyoshi; Tomomi Tanaka; Hideo Kamomae
Journal:  J Reprod Dev       Date:  2020-03-16       Impact factor: 2.214

6.  A Genome-Wide Association Study for Calving Interval in Holstein Dairy Cows Using Weighted Single-Step Genomic BLUP Approach.

Authors:  Hadi Atashi; Mazdak Salavati; Jenne De Koster; Mark A Crowe; Geert Opsomer; Miel Hostens
Journal:  Animals (Basel)       Date:  2020-03-17       Impact factor: 2.752

  6 in total

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