Evaluation of a new approach for the estimation of the time of the LH surge in dairy cows using vaginal temperature and electrodeless conductivity measurements

Fisher, Andrew; Morton, Ruth; Dempsey, J.M.A.; Henshall, John; Hill, Jessica

doi:10.1016/j.theriogenology.2008.06.023

Cited by 51 publications

(53 citation statements)

References 17 publications

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“…found that rectal temperatures, though not measured automatically, displayed an even greater increase during estrus (1.3 °C). Similar observations were made by Fisher et al ., who measured the vaginal temperature of Holstein cows, 21 of which had induced estrus and 12 were non‐lactating, and recorded a mean temperature increase of 0.48 °C (ranging from 0.40 to 3.22 °C) at the time of the luteinizing hormone (LH) peak. The same authors developed a model based on vaginal temperature to estimate the time of the LH surge.…”

Section: Estrus Detectionsupporting

confidence: 80%

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Comparison of different applications of automatic herd control systems on dairy farms – a review

et al. 2018

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Recent years have seen the rapid development of different devices which can be helpful in the daily work of livestock farmers. The growing size of livestock herds has led farmers to lose individual contact with their animals, while behavioral studies show that breeders can effectively and precisely monitor a herd of up to 100 cows. This was the main motivation for this study, which aims to identify and test various electronic devices which provide useful herd management data, including estrus detection, individual activity and body temperature measurement, monitoring rumen pH levels, milk quality and content as well as milk temperature and somatic cell count measurements. Some devices can detect the metabolic status of animals with a reasonable level of precision. Contemporary animal farms are offered a large number of systems for monitoring the behavior of the animals in the herd and helping to identify those that are intended for insemination or are too active or excessively apathetic. Monitoring devices support herd management and help to reduce costs through the early detection of animal diseases and nutritional problems. This review aims to compile and summarize the information currently available on the use of automatic herd control systems on dairy farms, as well as to discuss the interpretation of the results, providing a useful diagnostic tool in nutritional evaluations of dairy herds. © 2018 Society of Chemical Industry.

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Section: Estrus Detectionsupporting

confidence: 80%

“…The same authors developed a model based on vaginal temperature to estimate the time of the LH surge. Fisher et al . suggest that the LH peak could be predicted to within a 6 h margin of error in 76% (16/21) of cows in estrus.…”

Section: Estrus Detectionmentioning

confidence: 99%

Comparison of different applications of automatic herd control systems on dairy farms – a review

et al. 2018

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“…Many studies have been carried out on measuring the increase in the activity of cows around estrus by using a pedometer, and this is being used and developed in practice [13,14,15,16,17,18,19,20]. In addition some methods to predict estrus by monitoring internal changes such as body temperature [20,21,22], vaginal mucus pH [23], electrical resistance or conductivity of reproductive tissue and their secretions [7, 21, 24,25,26,27,28,29,30] have been reported. However, neither method has become generally applied.…”

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confidence: 99%

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

2014

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Lactating Holstein-Friesian cows kept in tie-stall barn were used as subjects in this study. Rectal examination, ultrasonography and blood sampling were conducted every other day and then daily after the day on which diameter of the corpus luteum decreased. After the luteal diameter decreased for 2 consecutive days, rectal and ultrasound examinations, blood sampling, and observation of estrous signs were conducted at 6-h intervals. Most of the estrous signs became obvious with the increase in estradiol-17β (E2) and became most remarkable 24 to 30 hours before ovulation, at which point the E2 peak and luteinizing hormone (LH) surge were achieved, and then weakened which progression to ovulation. The correlation between the intensity of four estrous signs (hyperemia and swelling of the intravaginal part of the uterus, opening of the external uterine orifice and viscosity of the cervical mucus) and the plasma E2 concentration was higher than that of three estrous signs (swelling of the vulva, contraction of the uterus, diameter of uterine horn) and the plasma E2 concentration. The relaxation of the intravaginal part of the uterus showed a unique change compared with the other estrous signs, and it became most obvious 6, 12 and 18 h before ovulation; this obviously relaxed period was consistent with the generally accepted theoretical optimal time for artificial insemination (AI), i.e., 6 to 24 h after initiation of estrus. These results suggest that observation of estrous signs by vaginoscopic examination gave useful information for detection of the optimal timing of AI in the periovulatory period in lactating dairy cows kept in a tie-stall barn.

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“…However, this current alternative solution requires expensive infrared cameras and it provides a result whose accuracy is relatively low. Monitoring cows’ body temperature is also another possible solution (Firk et al, 2002; Fisher et al, 2008) but this may result in a number of false positives. Finally, an automated milk-related measurement can be used to detect oestrus in dairy cows (Mitchell et al, 1996; Van Asseldonk et al, 1998; De Mol et al, 1999; Firk et al, 2003; Friggens et al, 2008).…”

Section: Resultsmentioning

confidence: 99%

Automatic Detection of Cow’s Oestrus in Audio Surveillance System

Chung

Lee

et al. 2013

Asian Australas. J. Anim. Sci

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Early detection of anomalies is an important issue in the management of group-housed livestock. In particular, failure to detect oestrus in a timely and accurate way can become a limiting factor in achieving efficient reproductive performance. Although a rich variety of methods has been introduced for the detection of oestrus, a more accurate and practical method is still required. In this paper, we propose an efficient data mining solution for the detection of oestrus, using the sound data of Korean native cows (Bos taurus coreanea). In this method, we extracted the mel frequency cepstrum coefficients from sound data with a feature dimension reduction, and use the support vector data description as an early anomaly detector. Our experimental results show that this method can be used to detect oestrus both economically (even a cheap microphone) and accurately (over 94% accuracy), either as a standalone solution or to complement known methods.

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Evaluation of a new approach for the estimation of the time of the LH surge in dairy cows using vaginal temperature and electrodeless conductivity measurements

Cited by 51 publications

References 17 publications

Comparison of different applications of automatic herd control systems on dairy farms – a review

Comparison of different applications of automatic herd control systems on dairy farms – a review

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

Automatic Detection of Cow’s Oestrus in Audio Surveillance System

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