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Home / Equine Research Bank / Theriogenology / Assessment of pregnancy in the late-gestation mare using dig...
Theriogenology2009; 72(3); 372-377; doi: 10.1016/j.theriogenology.2009.03.005

Assessment of pregnancy in the late-gestation mare using digital infrared thermography.

Abstract: The objective of this study was to investigate use of digital infrared thermal imaging (DITI) to determine whether surface temperature gradient differences exist between pregnant and nonpregnant mares as a noncontact method to determine pregnancy status. On the day measurements were collected, each pregnant mare (n=10; beginning at 292.4+/-1.4 d of gestation) was paired with a nonpregnant mare (n=17). Ambient temperature, DITI measurements (left and right flank, wither temperatures [i.e., animal surface control] and background temperature), and rectal temperatures were obtained every 7 d for 5 wk before parturition and for 3 wk after parturition. There were no differences (P>0.10) in temperature of the left and right side within groups; therefore, data were pooled. Pregnant mares had a higher (P<0.01) flank temperature than that of nonpregnant mares (36.0+/-0.2 degrees C vs. 34.2+/-0.2 degrees C, respectively). Moreover, the difference (2.4 degrees C) in flank temperatures between the pregnant and nonpregnant mares was greater when the ambient temperature was <19 degrees C. Flank and wither temperatures were positively correlated (R=0.72; P<0.01) and were positively correlated with ambient temperature (R=0.48 and 0.64, respectively; P<0.01). However, wither temperatures (skin control site) did not differ (P>0.10) between pregnant and nonpregnant mares. In conclusion, late-gestation mares had higher flank temperatures than those of nonpregnant mares, regardless of environmental conditions, however discriminating abilities were greater when ambient temperature was lower. We inferred that DITI may have value in confirming mid- to late-gestation pregnancies in some species by noncontact means, as observed in the mare.
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Publication Date: 2009-05-30 PubMed ID: 19482351DOI: 10.1016/j.theriogenology.2009.03.005Google Scholar: Lookup
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  • Comparative Study
  • Evaluation Study
  • Journal Article
  • Research Support
  • U.S. Gov't
  • Non-P.H.S.

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The researchers in this study aimed to probe the potential use of Digital Infrared Thermal Imaging (DITI) in establishing surface temperature gradient variations between pregnant and nonpregnant mares, thus introducing a non-invasive approach to ascertain pregnancy status. The core finding revealed higher flank temperatures in pregnant mares as compared to nonpregnant ones, regardless of environmental conditions.

Methods

  • The process of the research involved a number of pregnant mares (10 to be exact) matched with nonpregnant mares (17 in total).
  • These pairings were observed starting from 292.4 +/- 1.4 days of gestation.
  • Data collection was conducted every week for 5 weeks before giving birth and for 3 weeks after birth.
  • Collected measurements included ambient temperature, DITI readings from left and right flank, wither temperatures (the animal’s surface control), and rectal temperatures.

Data Analysis

  • An analysis of temperature readings on both sides yielded no significant differences within groups, leading to data pooling.
  • Statistical results showed that pregnant mares had higher flank temperatures than nonpregnant ones (36.0 +/- 0.2 degrees C vs. 34.2 +/- 0.2 degrees C, respectively).
  • The temperature difference between pregnant and nonpregnant mares was even more pronounced when the ambient temperature was below 19 degrees C.

Conclusion

  • The conclusion of this study signaled towards the efficacy of DITI in the potential confirmation of mid to late gestation pregnancy in certain species.
  • Temperature correlation was observed between flank and wither temperatures and fluctuation in these temperatures were found to be positively correlated with the ambient temperature.
  • Regardless of ambient conditions, flank temperatures in late-gestation mares were observed to be higher than those in nonpregnant mares. Such a differentiation was more apparent when the ambient temperature was lower.
  • The wither temperatures however did not show any significant variation between the two groups, indicating that pregnancy may have a defining impact on flank temperature but not necessarily on other body site temperatures.

Cite This Article

APA
Bowers S, Gandy S, Anderson B, Ryan P, Willard S. (2009). Assessment of pregnancy in the late-gestation mare using digital infrared thermography. Theriogenology, 72(3), 372-377. https://doi.org/10.1016/j.theriogenology.2009.03.005

Publication

Theriogenology
ISSN: 1879-3231
NlmUniqueID: 0421510
Country: United States
Language: English
Volume: 72
Issue: 3
Pages: 372-377

Researcher Affiliations

Bowers, S
  • Department of Animal and Dairy Sciences, Mississippi State University, Mississippi State, MS 39762, USA.
Gandy, S
    Anderson, B
      Ryan, P
        Willard, S

          MeSH Terms

          • Animals
          • Environment
          • Female
          • Gestational Age
          • Horses / physiology
          • Infrared Rays
          • Models, Biological
          • Pregnancy
          • Pregnancy Tests / methods
          • Pregnancy Tests / veterinary
          • Pregnancy, Animal
          • Signal Processing, Computer-Assisted
          • Thermography / methods
          • Thermography / veterinary

          Citations

          This article has been cited 19 times.
          1. Pesenti Rossi G, Barbieri S, Dalla Costa E, Minero M, Canali E. Through the Calf's Eye: Exploring Infrared Thermography to Uncover Pair-Housed Calves' Affective States. Animals (Basel) 2026 Jan 8;16(2).
            doi: 10.3390/ani16020182pubmed: 41594372google scholar: lookup
          2. Bernau M, Schilling T, Eßlinger H, Hoelzle LE, Goth SA. Infrared thermographic imaging as a promising on-farm method to estimate parasite load in dairy goats. Vet Anim Sci 2025 Dec;30:100506.
            doi: 10.1016/j.vas.2025.100506pubmed: 41078982google scholar: lookup
          3. Faraz A, Masebo NT, Hussain SM, Waheed A, Ishaq HM, Tauqir NA, Abbasi AR, Saleem F, Padalino B. Association of Environmental Temperature and Relative Humidity with Ocular and Flank Temperatures in Dromedary Camels. Animals (Basel) 2025 Jan 22;15(3).
            doi: 10.3390/ani15030309pubmed: 39943079google scholar: lookup
          4. Riaz U, Idris M, Ahmed M, Ali F, Farooq U, Yang L. The Potential of Infrared Thermography for Early Pregnancy Diagnosis in Nili-Ravi Buffaloes. Animals (Basel) 2024 Jul 2;14(13).
            doi: 10.3390/ani14131966pubmed: 38998078google scholar: lookup
          5. Mota-Rojas D, Pereira AMF, Martínez-Burnes J, Domínguez-Oliva A, Mora-Medina P, Casas-Alvarado A, Rios-Sandoval J, de Mira Geraldo A, Wang D. Thermal Imaging to Assess the Health Status in Wildlife Animals under Human Care: Limitations and Perspectives. Animals (Basel) 2022 Dec 15;12(24).
            doi: 10.3390/ani12243558pubmed: 36552478google scholar: lookup
          6. Zheng S, Zhou C, Jiang X, Huang J, Xu D. Progress on Infrared Imaging Technology in Animal Production: A Review. Sensors (Basel) 2022 Jan 18;22(3).
            doi: 10.3390/s22030705pubmed: 35161450google scholar: lookup
          7. Fabbri G, Gianesella M, Tessari R, Bassini A, Morgante M, Contiero B, Faillace V, Fiore E. Thermographic Screening of Beef Cattle Metatarsal Growth Plate Lesions. Animals (Basel) 2022 Jan 13;12(2).
            doi: 10.3390/ani12020191pubmed: 35049813google scholar: lookup
          8. Domino M, Borowska M, Kozłowska N, Zdrojkowski Ł, Jasiński T, Smyth G, Maśko M. Advances in Thermal Image Analysis for the Detection of Pregnancy in Horses Using Infrared Thermography. Sensors (Basel) 2021 Dec 28;22(1).
            doi: 10.3390/s22010191pubmed: 35009733google scholar: lookup
          9. Tekin K, İnanç ME, Özen D, Cil B, Olğaç KT, Yılmaz B, Taşdemir U, Tuncer PB, Büyükleblebici S, Daşkın A, Uysal O, Stelletta C. Use of Infrared Thermography during Ejaculation Process and Its Link with Semen Quality and Freezability in Dogs. Animals (Basel) 2021 Oct 20;11(11).
            doi: 10.3390/ani11113023pubmed: 34827755google scholar: lookup
          10. Maśko M, Witkowska-Piłaszewicz O, Jasiński T, Domino M. Thermal features, ambient temperature and hair coat lengths: Limitations of infrared imaging in pregnant primitive breed mares within a year. Reprod Domest Anim 2021 Oct;56(10):1315-1328.
            doi: 10.1111/rda.13994pubmed: 34310786google scholar: lookup
          11. Proios I, Kusenda M, Seiler C, Siewert C, Seifert H, Kaske M. Postoperative wound assessment in cattle: How reliable is the back hand palpation?. Ir Vet J 2021 Jun 16;74(1):16.
            doi: 10.1186/s13620-021-00195-1pubmed: 34134768google scholar: lookup
          12. Maśko M, Zdrojkowski Ł, Wierzbicka M, Domino M. Association between the Area of the Highest Flank Temperature and Concentrations of Reproductive Hormones during Pregnancy in Polish Konik Horses-A Preliminary Study. Animals (Basel) 2021 May 23;11(6).
            doi: 10.3390/ani11061517pubmed: 34071111google scholar: lookup
          13. Deak FLGB, Chacur MGM, de Souza CD, Andrade IB, Cornacini GF, Garcia AR, Gabriel LRA. Effects of physiological stage and season on infrared thermograms of different body areas of dairy cows raised under tropical conditions. Anim Reprod 2019 Oct 23;16(2):311-316.
            doi: 10.21451/1984-3143-AR2017-0023pubmed: 33224292google scholar: lookup
          14. Topalidou A, Markarian G, Downe S. Thermal imaging of the fetus: An empirical feasibility study. PLoS One 2020;15(7):e0226755.
            doi: 10.1371/journal.pone.0226755pubmed: 32722675google scholar: lookup
          15. Harrap MJM, Hempel de Ibarra N, Whitney HM, Rands SA. Reporting of thermography parameters in biology: a systematic review of thermal imaging literature. R Soc Open Sci 2018 Dec;5(12):181281.
            doi: 10.1098/rsos.181281pubmed: 30662737google scholar: lookup
          16. Sathiyabarathi M, Jeyakumar S, Manimaran A, Jayaprakash G, Pushpadass HA, Sivaram M, Ramesha KP, Das DN, Kataktalware MA, Prakash MA, Kumar RD. Infrared thermography: A potential noninvasive tool to monitor udder health status in dairy cows. Vet World 2016 Oct;9(10):1075-1081.
            doi: 10.14202/vetworld.2016.1075-1081pubmed: 27847416google scholar: lookup
          17. Montanholi YR, Lim M, Macdonald A, Smith BA, Goldhawk C, Schwartzkopf-Genswein K, Miller SP. Technological, environmental and biological factors: referent variance values for infrared imaging of the bovine. J Anim Sci Biotechnol 2015;6(1):27.
            doi: 10.1186/s40104-015-0027-ypubmed: 26217486google scholar: lookup
          18. Alsaaod M, Schaefer AL, Büscher W, Steiner A. The Role of Infrared Thermography as a Non-Invasive Tool for the Detection of Lameness in Cattle. Sensors (Basel) 2015 Jun 18;15(6):14513-25.
            doi: 10.3390/s150614513pubmed: 26094632google scholar: lookup
          19. Amezcua R, Walsh S, Luimes PH, Friendship RM. Infrared thermography to evaluate lameness in pregnant sows. Can Vet J 2014 Mar;55(3):268-72.
            pubmed: 24587511
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