Body temperature and behaviour of mares during the last two weeks of pregnancy

Characterization of Typical Behaviors of Mares in the Opening Phase of Parturition-Influence of Parity and Dystocia

The identification of typical behaviors in stage I of parturition, the opening phase, can be used to improve birth monitoring in the mare. Therefore, this study aimed to comprehensively analyze mare behavior during the opening phase. Real-time recordings of 66 births involving 56 warmblood mares were analyzed using camera footage. Behaviors such as increased locomotor activity, pawing with front hooves, lifting the tail, rolling, kicking with the hind legs toward the abdomen, and looking at the abdomen increased significantly (p < 0.001) in the four hours preceding parturition. Within the last hour of the observation period, a statistically significant change was observed for the duration of lying in the sternal and lateral position (p < 0.001). Significant correlations were observed between parity and the total number of repetitions of lying in the sternal position (p < 0.05). Furthermore, the birth process influenced the repetitions of lying in the lateral position (p < 0.05). These findings indicate distinct behavioral patterns during the opening phase of parturition, which were evident across the observed mares. Nonetheless, notable individual differences were also identified among the mares.

Deep Learning Model Using Continuous Skin Temperature Data Predicts Labor Onset

Background

Changes in body temperature anticipate labor onset in numerous mammals, yet this concept has not been explored in humans.

Methods

We evaluated patterns in continuous skin temperature data in 91 pregnant women using a wearable smart ring. Additionally, we collected daily steroid hormone samples leading up to labor in a subset of 28 pregnancies and analyzed relationships among hormones and body temperature trajectory. Finally, we developed a novel autoencoder long-short-term-memory (AE-LSTM) deep learning model to provide a daily estimation of days until labor onset.

Results

Features of temperature change leading up to labor were associated with urinary hormones and labor type. Spontaneous labors exhibited greater estriol to α-pregnanediol ratio, as well as lower body temperature and more stable circadian rhythms compared to pregnancies that did not undergo spontaneous labor. Skin temperature data from 54 pregnancies that underwent spontaneous labor between 34 and 42 weeks of gestation were included in training the AE-LSTM model, and an additional 40 pregnancies that underwent artificial induction of labor or Cesarean without labor were used for further testing. The model was trained only on aggregate 5-minute skin temperature data starting at a gestational age of 240 until labor onset. During cross-validation AE-LSTM average error (true - predicted) dropped below 2 days at 8 days before labor, independent of gestational age. Labor onset windows were calculated from the AE-LSTM output using a probabilistic distribution of model error. For these windows AE-LSTM correctly predicted labor start for 79% of the spontaneous labors within a 4.6-day window at 7 days before true labor, and 7.4-day window at 10 days before true labor.

Conclusion

Continuous skin temperature reflects progression toward labor and hormonal status during pregnancy. Deep learning using continuous temperature may provide clinically valuable tools for pregnancy care.

Detection of foaling using a tail-attached device with a thermistor and tri-axial accelerometer in pregnant mares

It is desirable to attend to the mare at the time of foaling in order to assist fetal delivery and prevent complications. The early detection of the onset of labor is an important issue for the equine industry. The purpose of this study was to examine the applicability of a sensor for foaling detection using the data of surface temperature (ST), roll angle (rotation about the y-axis) and y-axis (long axis of the tail) acceleration which were collected from a multimodal device attached to the ventral tail base of the mare. The data were collected every 3 minutes in 17 pregnant mares. Roll angle differences from the reference values and the mare's posture (standing or recumbent) confirmed by video were compared and associated. Cohen's kappa coefficient was 0.99 when the threshold was set as ± 0.3 radian in roll angle differences. This result clearly showed that the sensor data can accurately distinguish between standing and recumbent postures. The hourly sensor data with a lower ST (LST < 35.5°C), a recumbent posture determined by the roll angle, and tail-raising (TR, decline of 200 mg or more from the reference value in y-axis acceleration) was significantly higher during the last hour prepartum than 2-120 hours before parturition (P < 0.01). The accuracy of foaling detection within one hour was verified using the following three indicators: LST; lying down (LD, change from standing to recumbent posture); and TR. When LST, LD and TR were individually examined, even though all indicators showed that sensitivity was 100%, the precision was 13.1%, 8.1% and 2.8%, respectively. When the data were combined as LST+LD, LST+TR, LD+TR and LST+LD+TR, detection of foaling improved, with precisions of 100%, 32.1%, 56.7% and 100%, respectively. In conclusion, the tail-attached multimodal device examined in this present study is useful for detecting foaling.

Development of a foaling alarm system using an accelerometer

Horse breeders suffer massive economic losses due to dystocia, abortion, and stillbirths. In Thoroughbred mares, breeders often miss the foaling process because approximately 86% of the foaling events occur from 19:00 to 7:00; consequently, breeders cannot assist mares experiencing dystocia. To solve this problem, various foaling alarm systems have been developed. However, there is a need to develop a new system to overcome the shortcomings of the existing devices and improve their accuracy. To this end, the present study aimed to (1) develop a novel foaling alarm system and (2) compare its accuracy with that of the existing Foalert™ system. Specifically, eighteen Thoroughbred mares (11.9 ± 4.0 years old) were included. An accelerometer was used to analyze specific foaling behaviors. Behavioral data were transmitted to a data server every second. Depending on the acceleration value, behaviors were automatically classified by the server as categorized behaviors 1 (behaviors without change in body rotation), 2 (behaviors with sudden change in body rotation, such as rolling over), and 3 (behaviors with long-term change in body rotation, such as lying down laterally). The system was designed to alarm when the duration of categorized behaviors 2 and 3 was 12.9% and that of categorized behavior 3 was 1% during 10 min. The system measured the duration of each categorized behavior every 10 min and transmitted an alarm to the breeders when foaling was detected. To confirm its accuracy, the foaling detection time of the novel system was compared with that of Foalert™. The novel foaling alarm system and Foalert™ alarmed foaling onset respectively 32.6 ± 17.9 and 8.6 ± 1.0 min prior to foal discharge, and the foaling detection rate of both systems was 94.4%. Therefore, the novel foaling alarm system equipped with an accelerometer can precisely detect and alert foaling onset.

No-contact microchip measurements of body temperature and behavioural changes prior to foaling

Gestational length is highly variable in horses ranging from 320 to 360 days. Thus, determining parturition time is an important challenge for the horse industry. Body temperature can be used in cows and ewes as an indicator of parturition. Thus, the aim of this study is to determine if temperature can also be used as indicator of foaling. Thirty-nine mares were monitored over two foaling seasons (2018 and 2019). They were housed in 16 m² stalls with access to pasture in group three times a week from 10:00 to 16:00. Night watch as well as video monitoring was ensured during foaling periods. Body temperature was monitored using an identification and temperature sensor microchip implanted in the neckline. Measurement were taken manually every 2 h from 5 days before to 6 h after parturition by moving a microchip reader close to the mares' neck. Mares were equipped with a tail accelerometer recording tail movements and lateral recumbency 24 h before parturition. In addition, behaviour was monitored by video analysis in the hour preceding expulsion of the foal in 8 individuals in 2019. Relationships between behavioural and temperature data were explored throughout principal component analysis (PCA). All foals were born healthy and no human intervention was required during foaling. Mean daily body temperature decreased significantly by 0.3 °C (95%; range: 0.42 to -0.19 °C) between the day of parturition and the mean temperature of the 5 preceding days. A significant temperature decrease was also detected 12 h before and at the onset of parturition. With a 0.5 °C threshold, foaling could be detected 12 h in advance with 96.6% sensitivity and 95.0% specificity, respectively. Tail movements were more frequent and shorter with impending parturition. Body temperature was positively correlated with increased frequency and duration of specific behaviours (flehmen, looking at their flank and rump scratching against the stall wall). In conclusion, as in other species, body temperature was related to signs usually associated with impeding parturition, with a significant temperature drop observed from 12 h before and at the time of foaling. Providing automated measurements become available, temperature monitoring could become an additional tool to predict parturition in mares.

Prediction of the onset of parturition in horses and cattle

Economic losses due to dystocia or neonatal death as well as animal welfare and ethical concerns demand a reliable prediction of parturition with the aim to improve survival of the dam and her offspring. In this review, estimation of gestational age by ultrasound and prediction of parturition based on clinical signs, behaviour changes and changes in body temperature, composition of mammary gland secretions as well as hormonal changes are discussed in comparison between horses and cattle. Based on the physiological changes associated with the end of gestation and onset of labor, several systems and methods to predict parturition in horses and cattle have been developed. Physiological differences related to breed, maternal age and parity, pathological changes due to intrauterine growth retardation, placental problems or general illness of the dam but also housing and management systems bias a reliable prediction of parturition. This may be acceptable in cattle as long as birth alarm systems give satisfying results at herd level. The situation is different in the horse where the economic and emotional value of an individual mare and her foal usually reaches different dimensions than in cows. The possibilities for prediction of parturition can thus be discussed together, the consequences, however, may differ considerably between the two species.

The Effect of Exercise Deprivation on the Behaviour and Physiology of Straight Stall Confined Pregnant Mares

The purpose of this experiment was to investigate the welfare of pregnant mares kept in straight stalls and given only limited exercise, conditions that are similar to those encountered in the pregnant mare urine industry. Sixteen pregnant mares (eight in each of two years) were randomly assigned to two groups: Ex (exercised in a paddock for 30 min per day) or NoEx (exercised for one 30 min period every 14 days). The horses were housed in straight (or ‘tie’) stalls for six months and had ad libitum access to grass hay. Each horse's behaviour was recorded on videotape once per week for 24 h. The major behaviours were eating hay, standing, and stand-resting (head down and one hind limb flexed). There was no difference between the behaviours or the number of foot lifts per min of the Ex and NoEx groups in their stalls. Nine of 16 mares were not observed in recumbency throughout the whole of the six-month observation period, suggesting that horses with no previous experience in straight stalls may be reluctant to lie down. Thirteen of 16 mares dropped to their knees at least once, probably when they were REM sleeping while standing. There were no significant differences between the Ex and the NoEx mares in baseline plasma Cortisol levels or in Cortisol response to ACTH. Following 30 min of exercise, NoEx mares showed an increase in Cortisol from 5.0 to 5.4 μg dL−1, whereas Ex mares showed a decrease from 4.6 to 3.6 µg dL−1. The NoEx horses that had been confined for two weeks trotted more (NoEx = 22 [6-38; median and range]% of time; Ex = 2.4 [0-8.7]%) and galloped more (NoEx = 6 [2-8]%; Ex = 0 [0-4]%) than the Ex that were released daily, but walked less (NoEx = 17 [10-26]%; Ex = 35 [20-40]%) and grazed less (NoEx = 0%; Ex = 3 [0-12]%). Confined horses show rebound locomotion — that is, a compensatory increase — when released from confinement, indicating a response to exercise deprivation.

Body temperature fluctuations in the periparturient horse mare

The objective of this study was to determine the pattern of mare deep body temperature fluctuations associated with parturition using biotelemetry. A radio transmitter was implanted in one flank in each of six mares. Telemetered data were received by a pair of antennae placed at right angles in a 3.3 x 6.6-m stall and stored on a computer hard disk. Hourly temperature data were recorded for the period of -168 through 168 hours post partum. A decrease of 0.76 degrees C in body temperature began at 4 hours prior to parturition (P < 0.1) then decreased rapidly between the 3 hours prior to and the time of parturition (Time 0). The lowest mean body temperature recorded was at the time of parturition (36.58 +/- 0.16 degrees C; P < 0.001). A supranormal increase in mean body temperature began one hour post partum, peaked at 38.02 +/- 0.08 degrees C and remained elevated for 48 hours post partum until gradually decreasing to the level of the prepartum mean by 106 hours.

Ingestive behavior

In summary, horses spend 60% or more of their time eating when grazing or when feed is available free choice. Grasses are their preferred food, but they supplement the grass with herbs and woody plants. Sweetened mixtures of oats and corn are the most preferred concentrate. Horses can increase or decrease the time spent eating and amount eaten to maintain caloric intake. Their intake is stimulated by drugs such as diazepam and by the presence of other horses. Horses stop eating when gastric osmolality increases; increases in plasma osmolality, protein, and glucose accompany digestion. Foals eat several times an hour and begin sampling solid food at the same time that their dam is eating. Several areas of particular importance to the equine industry have not been investigated. These areas include the effect of exercise on short- and long-term food intake and the influence of reproductive state on the feeding of mares.

Predictive utility of pre-partum temperature changes in the mare

Rectal temperature was recorded from 22 mares at 0700, 1500 and 2300 h daily for seven days pre-partum and one day post partum. A circadian variation in rectal temperature was present with the lowest temperature recorded at 0700 h. Because of this, the mares were divided into three groups based on time of parturition; those foaling between 0700 and 1500 h (n = 2); between 1500 and 2300 h (n = 13); and between 2300 and 0700 h (n = 7). On the day prior to delivery (Day -1) the circadian pattern was absent because the nocturnal increase did not occur. A significant decrease in temperature was recorded prior to parturition in the group foaling between 1500 and 2300 h. A distinct decrease in temperature occurred in the majority of mares in the other two groups but this was not statistically significant. After parturition, rectal temperature increased to supranormal levels before returning to normal.