Pregnancy Establishment and Diagnosis in Livestock.


Journal

Annual review of animal biosciences
ISSN: 2165-8110
Titre abrégé: Annu Rev Anim Biosci
Pays: United States
ID NLM: 101614024

Informations de publication

Date de publication:
21 Aug 2024
Historique:
medline: 21 8 2024
pubmed: 21 8 2024
entrez: 21 8 2024
Statut: aheadofprint

Résumé

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.

Identifiants

pubmed: 39167732
doi: 10.1146/annurev-animal-021022-032214
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Troy L Ott (TL)

1Department 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.

Ahmed Tibary (A)

2Department of Veterinary Clinical Sciences and Center for Reproductive Biology, College of Veterinary Medicine, Washington State University, Pullman, Washington, USA; email: tibary@wsu.edu.

Muhammad Waqas (M)

3Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman, Washington, USA; email: salman.waqas@wsu.edu.

Rodney Geisert (R)

4Division of Animal Sciences, University of Missouri, Columbia, Missouri, USA; email: geisertr@missouri.edu.

Julio Giordano (J)

5Department of Animal Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, New York, USA; email: jog25@cornell.edu.

Classifications MeSH