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Annual review of animal biosciences2024; 13(1); 211-232; doi: 10.1146/annurev-animal-021022-032214

Pregnancy Establishment and Diagnosis in Livestock.

Abstract: This comprehensive review explores the complex processes of reproduction, pregnancy establishment, and pregnancy diagnostic methods in cattle, sheep, goats, swine, horses, and camelids. It provides an overview of the history of pregnancy detection and an in-depth exploration of the physiology of pregnancy in livestock. The detection of conceptus tissue and fluids, conceptus-produced hormones, and maternal responses to conceptus signals, crucial for pregnancy diagnosis, are also discussed in detail, as are emerging methods for pregnancy diagnosis in livestock species. Overall, this review emphasizes the direct impact of pregnancy diagnosis and efficient pregnancy management for profitability of livestock enterprises.
Publication Date: 2024-08-21 PubMed ID: 39167732DOI: 10.1146/annurev-animal-021022-032214Google Scholar: Lookup
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  • Journal Article
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Summary

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Pregnancy detection and management in livestock are crucial for optimizing reproductive success and farm profitability, and this review examines the biology and diagnostic techniques across multiple livestock species.

Overview of Reproductive Physiology and Pregnancy Establishment in Livestock

  • Explains the fundamental reproductive processes in major livestock species such as cattle, sheep, goats, swine, horses, and camelids.
  • Details the physiological stages from fertilization to early pregnancy establishment.
  • Highlights species-specific differences in gestational development and maternal recognition of pregnancy.
  • Describes how the conceptus (developing embryo and associated tissues) interacts with the maternal environment to signal pregnancy maintenance.

Historical and Current Methods of Pregnancy Diagnosis

  • Reviews traditional methods historically used for pregnancy detection in livestock, such as observation of return to estrus and palpation.
  • Discusses modern techniques including ultrasonography, hormone assays, and detection of specific conceptus-derived markers.
  • Evaluates the advantages and limitations of various diagnostic approaches based on sensitivity, timing, invasiveness, and species applicability.
  • Considers the timing of pregnancy diagnosis to optimize interventions like re-breeding or nutritional management.

Conceptus and Maternal Signals Critical for Pregnancy Detection

  • Describes the biological basis for pregnancy detection relying on detection of conceptus tissues or fluids such as amniotic fluid or allantoic fluid.
  • Details the role of conceptus-produced hormones (e.g., progesterone, interferon tau) that communicate pregnancy status to the mother.
  • Explores maternal physiological responses that can be used as indirect indicators of pregnancy, such as changes in hormone profiles or immune markers.
  • Summarizes biomarkers currently used or under development for practical pregnancy diagnosis in different livestock species.

Emerging Technologies and Future Directions in Pregnancy Detection

  • Highlights ongoing research into novel, less invasive, and earlier pregnancy detection methods, including molecular and biosensor technologies.
  • Discusses opportunities to integrate automated and real-time monitoring tools in herd management.
  • Emphasizes the potential impact of improved pregnancy diagnostics on reproductive efficiency and economic returns for livestock producers.
  • Calls attention to the need for species-specific validation and cost-effective implementation of emerging diagnostic methods.

Importance of Pregnancy Diagnosis for Livestock Enterprise Profitability

  • Explains how timely and accurate pregnancy diagnosis supports strategic breeding and culling decisions.
  • Links reproductive efficiency to overall productivity measures like milk production, offspring survival, and growth rates.
  • Describes how pregnancy management reduces costs associated with non-productive animals and optimizes resource allocation.
  • Advocates for adoption of best practices in pregnancy detection as a key factor in improving livestock enterprise sustainability and profitability.

Cite This Article

APA
Ott TL, Tibary A, Waqas M, Geisert R, Giordano J. (2024). Pregnancy Establishment and Diagnosis in Livestock. Annu Rev Anim Biosci, 13(1), 211-232. https://doi.org/10.1146/annurev-animal-021022-032214

Publication

ISSN: 2165-8110
NlmUniqueID: 101614024
Country: United States
Language: English
Volume: 13
Issue: 1
Pages: 211-232

Researcher Affiliations

Ott, Troy L
  • Department of Animal Science and Center for Reproductive Biology and Health, Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, Pennsylvania, USA; email: tlo12@psu.edu.
Tibary, Ahmed
  • Department of Veterinary Clinical Sciences and Center for Reproductive Biology, College of Veterinary Medicine, Washington State University, Pullman, Washington, USA; email: tibary@wsu.edu.
Waqas, Muhammad
  • Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman, Washington, USA; email: salman.waqas@wsu.edu.
Geisert, Rodney
  • Division of Animal Sciences, University of Missouri, Columbia, Missouri, USA; email: geisertr@missouri.edu.
Giordano, Julio
  • Department of Animal Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, New York, USA; email: jog25@cornell.edu.

MeSH Terms

  • Animals
  • Female
  • Pregnancy
  • Livestock / physiology
  • Pregnancy, Animal / physiology
  • Pregnancy Tests / veterinary
  • Pregnancy Tests / methods

Citations

This article has been cited 2 times.
  1. Lucy MC. The intersection of biology and advanced technologies defines the future of dairy reproductive management.. JDS Commun 2025 Dec;6(Suppl 1):S47-S53.
    doi: 10.3168/jdsc.2025-0840pubmed: 41497387google scholar: lookup
  2. Wang Z, Liu K, Song Y, Li Q, An L, Liu Y, Tian J, Bai J, Wang S. Ultrasound image dataset for ovarian follicular development detection in pigs.. Data Brief 2024 Dec;57:111033.
    doi: 10.1016/j.dib.2024.111033pubmed: 39507601google scholar: lookup