Body temperature, heart rate, and locomotor activity measured by bio-loggers before and after a progestogen+eCG treatment for artificial insemination in sheep: effect of pregnancy
J. A. Abecia A * , F. Canto A , J. Plaza B and C. Palacios BA Instituto de Investigación en Ciencias Ambientales de Aragón (IUCA), Universidad de Zaragoza, Miguel Servet, 177, Zaragoza 50013, Spain.
B Departamento de Construcción y Agronomía, Facultad de Ciencias Agrarias y Ambientales, Avenida Filiberto Villalobos, 119, Salamanca 37007, Spain.
Animal Production Science 63(14) 1376-1384 https://doi.org/10.1071/AN23081
Submitted: 21 February 2023 Accepted: 18 July 2023 Published: 7 August 2023
© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing
Abstract
Context: The introduction of bio-sensors for monitoring real-time changes in physiological variables has helped understand how external factors affect an animal’s resiliency to stressors.
Aims: To quantify changes in temperature, heart rate, and locomotor activity in ewes during hormonal treatments for artificial insemination (AI) for up to 15 days after insemination.
Method: Twelve ewes received a surgically implanted subcutaneous bio-logger to record data every 5 min. One week later, ewes received an intravaginal sponge for 12 days and AI was performed 54 ± 1 h after sponge withdrawal. The data were divided into the following four periods: ‘sponge in’ (Days −14 to −2), ‘day before AI’ (Day −1), ‘day AI’ (Day 0), and ‘post-AI’ (Days 1–5, Days 6–10, and Days 11–15).
Key results: Ewes presented significantly (P < 0.001) higher mean temperature and activity, and a lower heart rate when the sponges were in place than they did in the days following AI. Mean body temperature in the ‘sponge in’ period and the ‘day before AI’, but not in ‘post-AI period’, differed significantly (P < 0.001) between pregnant and non-pregnant ewes. Non-pregnant ewes had a significantly (P < 0.001) higher heart rate than did pregnant ewes when sponges were in and in the ‘post-AI’ period. Non-pregnant ewes were significantly (P < 0.001) less active than were pregnant ewes in the ‘sponge in’ period and on Days 1–5 after AI; however, the former were significantly (P < 0.001) more active than were pregnant ewes on Days 11–15 after AI.
Conclusions: The subcutaneous bio-logger system documented 24-h variations in body temperature, heart rate, and locomotor activity before and after AI in ewes that had received an estrus-synchronising hormonal treatment. Pregnancy status affected those variables and their circadian fluctuations at the time of the hormonal treatment and in the ‘post-AI’ period.
Implications: Any device designed for use in the study of Precision Livestock Farming that allows a simple, non-invasive measurement of these variables might provide the basis for the development of a system that could identify females that are in an optimal state for insemination, and provide an early pregnancy prediction system.
Keywords: activity, artificial insemination, bio-logger, heart rate, pregnancy, sheep, sponges, temperature.
References
Abecia JA, Forcada F, González-Bulnes A (2011) Pharmaceutical control of reproduction in sheep and goats. Veterinary Clinics of North America: Food Animal Practice 27, 67–79.| Pharmaceutical control of reproduction in sheep and goats.Crossref | GoogleScholarGoogle Scholar |
Abecia J-A, Luis S, Canto F, Plaza J, Palacios C (2022a) Using subcutaneous bio-loggers to monitor circadian rhythmicity of temperature, heart rate and activity in sheep under intensive housing conditions. Biological Rhythm Research 53, 1711–1719.
| Using subcutaneous bio-loggers to monitor circadian rhythmicity of temperature, heart rate and activity in sheep under intensive housing conditions.Crossref | GoogleScholarGoogle Scholar |
Abecia JA, Canudo C, Palacios C, Canto F (2022b) Measuring lamb activity during lactation by actigraphy. Chronobiology International 39, 1368–1380.
| Measuring lamb activity during lactation by actigraphy.Crossref | GoogleScholarGoogle Scholar |
Abrams BM, Bazer FW (1973) Cyclic variations in vaginal thermal conductance in ewes. American Journal of Obstetrics and Gynecology 117, 480–482.
| Cyclic variations in vaginal thermal conductance in ewes.Crossref | GoogleScholarGoogle Scholar |
Barros de Freitas AC, Ortiz Vega WH, Quirino CR, Bartholazzi Junior A, Gomes David CM, Geraldo AT, Silva Rua MA, Cipagauta Rojas LF, Eustáquio de Almeida Filho J, Burla Dias AJ (2018) Surface temperature of ewes during estrous cycle measured by infrared thermography. Theriogenology 119, 245–251.
| Surface temperature of ewes during estrous cycle measured by infrared thermography.Crossref | GoogleScholarGoogle Scholar |
Benoit HJ, Borth R, Ellicott AR, Woolever CA (1976) Periovulatory changes in ovarian temperature in ewes. American Journal of Obstetrics and Gynecology 124, 356–360.
| Periovulatory changes in ovarian temperature in ewes.Crossref | GoogleScholarGoogle Scholar |
Freitas-de-Melo A, Garcia Kako Rodriguez M, Crosa C, Ungerfeld R (2022) Social stress during the estrus or luteal phase in sheep. Journal of Applied Animal Welfare Science
| Social stress during the estrus or luteal phase in sheep.Crossref | GoogleScholarGoogle Scholar |
Giuseppe P, Giovanni C (2002) Biological rhythm in livestock. Journal of Veterinary Science 3, 145–157.
| Biological rhythm in livestock.Crossref | GoogleScholarGoogle Scholar |
Grant A, Smarr B (2022) Feasibility of continuous distal body temperature for passive, early pregnancy detection. PLOS Digital Health 1, e0000034
| Feasibility of continuous distal body temperature for passive, early pregnancy detection.Crossref | GoogleScholarGoogle Scholar |
Hunter RHF, Einer-Jensen N (2005) Pre-ovulatory temperature gradients within mammalian ovaries: a review. Journal of Animal Physiology and Animal Nutrition 89, 240–243.
| Pre-ovulatory temperature gradients within mammalian ovaries: a review.Crossref | GoogleScholarGoogle Scholar |
IBM Corp. (2019) ‘IBM SPSS statistics for windows, version 26.0.’ (IBM Corporation: Armonk, NY, USA)
Lewis GS, Newman SK (1984) Changes throughout estrous cycles of variables that might indicate estrus in dairy cows. Journal of Dairy Science 67, 146–152.
| Changes throughout estrous cycles of variables that might indicate estrus in dairy cows.Crossref | GoogleScholarGoogle Scholar |
Macías A, Ferrer LM, Ramos JJ, Lidón I, Rebollar R, Lacasta D, Tejedor MT (2017) Technical note: a new device for cervical insemination of sheep – design and field test. Journal of Animal Science 95, 5263–5269.
| Technical note: a new device for cervical insemination of sheep – design and field test.Crossref | GoogleScholarGoogle Scholar |
Miciński J, Zwierzchowski G, Barański W, Gołębiowska M, Maršálek M (2010) Locomotor activity and daily milk yield of dairy cows during the perioestrous period in successive lactations. Journal of Agrobiology 27, 111–119.
| Locomotor activity and daily milk yield of dairy cows during the perioestrous period in successive lactations.Crossref | GoogleScholarGoogle Scholar |
Molcan L (2019) Time distributed data analysis by Cosinor. Online application. BioRxiv 805960
| Time distributed data analysis by Cosinor. Online application.Crossref | GoogleScholarGoogle Scholar |
Moline ML, Albers HE, Todd RB, Moore-Ede MC (1981) Light-dark entrainment of proestrous LH surges and circadian locomotor activity in female hamsters. Hormones and Behavior 15, 451–458.
| Light-dark entrainment of proestrous LH surges and circadian locomotor activity in female hamsters.Crossref | GoogleScholarGoogle Scholar |
Neethirajan S, Tuteja SK, Huang S-T, Kelton D (2017) Recent advancement in biosensors technology for animal and livestock health management. Biosensors and Bioelectronics 98, 398–407.
| Recent advancement in biosensors technology for animal and livestock health management.Crossref | GoogleScholarGoogle Scholar |
Nograles AHH, Caluyo FS (2013) Wireless system for pregnancy detection in cows by monitoring temperature changes in body. In ‘2013 IEEE 9th international colloquium on signal processing and its applications’. pp. 11–16. (IEEE)
Orihuela A, Omaña JC, Ungerfeld R (2016) Heart rate patterns during courtship and mating in rams and in estrous and nonestrous ewes (Ovis aries). Journal of Animal Science 94, 556–562.
| Heart rate patterns during courtship and mating in rams and in estrous and nonestrous ewes (Ovis aries).Crossref | GoogleScholarGoogle Scholar |
Palacios C, Plaza J, Abecia J-A (2021) A high cattle-grazing density alters circadian rhythmicity of temperature, heart rate, and activity as measured by implantable bio-loggers. Frontiers in Physiology 12, 707222
| A high cattle-grazing density alters circadian rhythmicity of temperature, heart rate, and activity as measured by implantable bio-loggers.Crossref | GoogleScholarGoogle Scholar |
Piccione G, Caola G, Refinetti R (2003) Daily and estrous rhythmicity of body temperature in domestic cattle. BMC Physiology 3, 7
| Daily and estrous rhythmicity of body temperature in domestic cattle.Crossref | GoogleScholarGoogle Scholar |
Pinto-Santini L, Ungerfeld R (2019) The phase of the estrous cycle modifies the endocrine, metabolic and behavior rhythms in ewes. Physiology & Behavior 204, 324–335.
| The phase of the estrous cycle modifies the endocrine, metabolic and behavior rhythms in ewes.Crossref | GoogleScholarGoogle Scholar |
Takezawa H, Hayashi H, Sano H, Saito H, Ebihara S (1994) Circadian and estrous cycle-dependent variations in blood pressure and heart rate in female rats. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 267, R1250–R1256.
| Circadian and estrous cycle-dependent variations in blood pressure and heart rate in female rats.Crossref | GoogleScholarGoogle Scholar |
Webster MED, Johnson KG (1968) Some aspects of body temperature regulation in sheep. The Journal of Agricultural Science 71, 61–66.
| Some aspects of body temperature regulation in sheep.Crossref | GoogleScholarGoogle Scholar |
Whitelaw MJ (1952) Hormonal control of the basal body temperature pattern. Fertility and Sterility 3, 230–244.
| Hormonal control of the basal body temperature pattern.Crossref | GoogleScholarGoogle Scholar |