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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/12351
Title: | Development of equine chorionic gonadotrophin (eCG) based sandwich ELISA for pregnancy diagnosis and fetus viability in mares |
Other Titles: | Not Available |
Authors: | ASHOK KUMAR GUPTA, YASH PAL and SANJAY KUMAR |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::National Research Centre on Equines |
Published/ Complete Date: | 2015-08-12 |
Project Code: | Not Available |
Keywords: | eCG quantification, Fetus viability, Pregnancy diagnosis, Sandwich ELISA, Sensitivity, Specificity |
Publisher: | Indian Journal of Animal Sciences |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | An equine chorionic gonadotrophin (eCG) based sandwich ELISA (sELISA) was developed for confirmation of early conception in pregnant mares around 30 days of gestation and fetus viability thereafter. This serum based quantitative assay is quite sensitive, specific, precise and efficient. Serum eCG content higher than 10 IU/ml during early gestation was used for confirmation of conception while eCG content more than 40 IU/ml was taken as cut off for fetus viability between 40 – 60 days of gestation. Assay was performed with more than 4,000 field serum samples and compared with equivalent commercial pregnancy diagnostic kit with its better sensitivity. Assay showedlittle cross reactivity with serum of non pregnant mares, jennies, and other animal species. Confirmation of fetusviability sELISA helped in re-servicing the mares which are observed to empty after conception failure or fetal loss. |
Description: | Not Available |
ISSN: | 03678318 |
Type(s) of content: | Journal |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Not Available |
Volume No.: | 86 |
Page Number: | 279–284 |
Name of the Division/Regional Station: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/12351 |
Appears in Collections: | AS-NRCE-Publication |
Files in This Item:
File | Description | Size | Format | |
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eCG Article IJAS 2016.pdf | 175.83 kB | Adobe PDF | View/Open |
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