Early Pregnancy Diagnosis in Graded Murrah Buffaloes Using Elisa Based Serum Progesterone Assay

Srilatha, Bethapudi; Naidu, G. Venkata; Marmamula, Srinivas; Prasad, V. D.

doi:10.5455/ijlr.20170513100912

Cited by 1 publication

(3 citation statements)

References 3 publications

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“…Test accuracy on days 15, 16, and 17 outperformed those reported by Shah et al (2017), who obtained 80% accuracy of progesterone examination on days 37-40 post-insemination. Relatively similar accuracy was reported by Rashmi et al (2020), who found 80% accuracy of progesterone examination on day 20-24 postinsemination, and Srilatha et al (2017), who obtained 85% accuracy on day 21 post-insemination. In this study, progesterone measurement accelerated diagnosis time (Nyman et al 2018;Rashmi et al 2020).…”

Section: Resultssupporting

confidence: 81%

“…Until now, progesterone testing is considered the earliest method to diagnose pregnancy in cows. This method is 80% effective from day 21-24 post-insemination (Sah et al 2017;Srilatha et al 2017). Related research indicates examination time can be accelerated (Abdullah et al 2017;Siregar et al 2017;Srilatha et al 2017;Thasmi et al 2017;Widayati et al 2019).…”

Section: Introductionmentioning

confidence: 99%

“…This method is 80% effective from day 21-24 post-insemination (Sah et al 2017;Srilatha et al 2017). Related research indicates examination time can be accelerated (Abdullah et al 2017;Siregar et al 2017;Srilatha et al 2017;Thasmi et al 2017;Widayati et al 2019). On day 15, postinsemination progesterone concentrations are significantly higher among pregnant cows than non-pregnant cows (Abdullah et al 2017).…”

Section: Introductionmentioning

confidence: 99%

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Comparison of the effectiveness of pregnancy diagnosis in Aceh cattle through measurement of interferon-tau and progesterone concentrations

et al. 2021

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This study aims to determine the effectiveness of IFN-? and progesterone measurement as the basis for pregnancy diagnosis in Aceh cows. The study used twelve cows aged 3-5 years, weighing 150-250 kg, clinically healthy and having normal reproduction. The estrous cycle was synchronized using prostaglandin hormone (LutalyseTM, Pharmacia & Upjohn Company, Pfizer Inc., 25 mg/cow, i.m.) with multiple injection protocol (10-day interval). Heat detection was conducted in the morning (08.00 Western Indonesia Time) and evening (16.00 Western Indonesia Time). Cows were inseminated 12-18 hours after standing heat. Blood was collected on day 4, 5, 6, 7, 14, 15, 16, 17, and 18 post-insemination. Concentrations of IFN-? and progesterone were determined by the ELISA method. Cows with an interferon concentration >6 pg/mL and a progesterone concentration >2 ng/mL were considered pregnant. Pregnancy data were then compared with transrectal ultrasound at day 25 as the gold standard. Concentrations of IFN-? in pregnant and non-pregnant cows were significantly different on day 18 post-insemination, while progesterone concentration was significantly different on day 15. The accuracy of IFN-? pregnancy diagnosis at peak IFN-? expression was obtained on day 18 post-insemination, with an accuracy rate of 66.7%, a sensitivity rate of 60% and a specificity rate of 71.4%. Meanwhile, the accuracy of progesterone-based pregnancy diagnosis was obtained on day 17 post-insemination, with an accuracy rate of 91.6%, a sensitivity rate of 83.3% and a specificity rate of 100%. It was concluded that the diagnosis of pregnancy using progesterone measurement was more effective than IFN-? measurement.

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