Comparative evaluation of pregnancy diagnosis in sheep using On-site pregnancy test (Pregnostx) and ultrasonography
1 Department of Preventive Medicine, Faculty of Veterinary Medicine, University of Khartoum, Sudan/ Senior Consultant for veterinary services (Artat Enterprise, KSA).
2 Department of Microbiology, Faculty of Veterinary Medicine, Jordon University of Science & Technology, Jordon.
3 Department of Veterinary Medicine, Faculty of Veterinary Medicine, Sudan University of Science & Technology, Sudan.
4 Co-Owner, Chief Business Officer, Biotracking Company, USA.
Research Article
World Journal of Advanced Research and Reviews, 2024, 22(02), 1927–1935
Article DOI: 10.30574/wjarr.2024.22.2.1600
Publication history:
Received on 15 April 2024; revised on 21 May 2024; accepted on 24 May 2024
Abstract:
Early detection of pregnancy gives breeders, veterinarians, and researchers the necessary information to improve prenatal care, improve the condition of postnatal lambs and kids and increases production efficiency in small ruminants. This study is aimed to compare and evaluate the accuracy of on-site pregnancy test (pregnostx) of cattle and transabdominal scanning in determining pregnancy status in 30 sheep. The obtained results showed that the sensitivity of on-site pregnancy test (pregnostx) is 96.7% compared to ultrasonography scanner. The results obtained with the two tests are similar in early pregnancy diagnosis (17/17) at 25-35 days of pregnancy and in mid pregnancy (12/13) above 35-55 days of pregnancy.
We recommended that on-site pregnancy test (pregnostx) is a useful, rapid, and accurate tool for small farmers, who do not have the knowledge or experience in using ultrasonography, to detect early pregnancy diagnosis at 25-35 days of pregnancy and in mid-pregnancy above 35-55 days of pregnancy.
Keywords:
Pregnancy Specific protein B (PSPB); Pregnancy -Associated Glycoprotein (PAGs); Ultrasonography; On-site Pregnancy test (Pregnostx)
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0