Literature DB >> 9839231

Estrus detection using radiotelemetry or visual observation and tail painting for dairy cows on pasture.

Z Z Xu1, D J McKnight, R Vishwanath, C J Pitt, L J Burton.   

Abstract

The efficiency and accuracy of estrus detection using HeatWatch (DDx Inc., Denver, CO) or visual observation were compared in an autumn-calving Friesian herd (n = 48 per group) and a spring-calving Jersey herd (n = 50 per group) grazing on pasture. Cows in the group monitored by the HeatWatch system were fitted with a pressure-sensitive transmitter that signaled mounting activities associated with estrus. Visual observation was carried out for about 20 min before the morning and afternoon milkings and was aided by a strip of paint applied over the tailhead. Ovarian cyclicity was monitored with progesterone concentrations in milk samples collected twice a week. The efficiency and accuracy of estrus detection were, respectively, 98.4 and 97.6% for visual observation and 91.7 and 100% for HeatWatch detection. Autumn-calving herds differed from spring-calving herds in duration of estrus (9.7 vs. 7.3 h), number of mounts (13.6 vs. 8.5), total duration of mounts (36.8 vs. 19.9 s), and mean duration of a mount (2.6 vs. 2.3 s). There was no significant variation in the distribution of the time of onset of estrus or mounting activities at different hours of the day. Conception rate was similar for AI after estrus detection with HeatWatch (65.8%) or after visual observation (65.0%). The highest conception rate was obtained when AI was carried out between 12 and 18 h after the first mount. Both the HeatWatch system and visual observation plus tail painting can be used for estrus detection of dairy cows on pasture.

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Year:  1998        PMID: 9839231     DOI: 10.3168/jds.S0022-0302(98)75849-7

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  8 in total

1.  Characteristics of oestrous cycles in Holstein cross-bred dairy heifers: an evidence of delayed post-ovulatory progesterone rise.

Authors:  Sudsaijai Kornmatitsuk; Bunlue Kornmatitsuk; Peerasak Chantaraprateep; Birgitta Larsson
Journal:  Trop Anim Health Prod       Date:  2008-06-28       Impact factor: 1.559

2.  Why is it getting more difficult to successfully artificially inseminate dairy cows?

Authors:  H Dobson; S L Walker; M J Morris; J E Routly; R F Smith
Journal:  Animal       Date:  2008-08       Impact factor: 3.240

3.  Reproductive efficiency in naturally serviced and artificially inseminated beef cows.

Authors:  S Washaya; B Tavirimirwa; S Dube; G Sisito; G Tambo; S Ncube; X Zhakata
Journal:  Trop Anim Health Prod       Date:  2019-05-07       Impact factor: 1.559

4.  Lameness, activity time-budgets, and estrus expression in dairy cattle.

Authors:  S L Walker; R F Smith; J E Routly; D N Jones; M J Morris; H Dobson
Journal:  J Dairy Sci       Date:  2008-12       Impact factor: 4.034

5.  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

6.  Evaluation of seasonal patterns and herd-level traits associated with insemination risk in large dairy herds in Kansas.

Authors:  Alexandre L A Scanavez; Andréia G Arruda; Jeffrey S Stevenson; Luís G D Mendonça
Journal:  PLoS One       Date:  2019-05-15       Impact factor: 3.240

7.  Sensor based time budgets in commercial Dutch dairy herds vary over lactation cycles and within 24 hours.

Authors:  P R Hut; S E M Kuiper; M Nielen; J H J L Hulsen; E N Stassen; M M Hostens
Journal:  PLoS One       Date:  2022-02-25       Impact factor: 3.240

Review 8.  Possible causes and treatment strategies for the estrus and ovulation disorders in dairy cows.

Authors:  Natsumi Endo
Journal:  J Reprod Dev       Date:  2022-02-12       Impact factor: 2.214

  8 in total

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