JOURNAL ARTICLE

Progesterone Levels and Estrus Symptoms in Modified Ovsynch Protocols in Khillar Cows.

  • Published In: Indian Journal of Veterinary Sciences & Biotechnology, 2026, v. 22, n. 1. P. 200 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Barde, Mayank Diwakar; Ingawale, Maheshkumar Vitthalarao; Deshmukh, Shyam Ganesh; Pawshe, Chaitanya Hemednrakumar; Ingole, Ranjit Suresh; Awandkar, Sudhakar Prahlad 3 of 3

Abstract

The progesterone levels and estrus signs were studied in Ovsynch, double PG Ovsynch and increasing dose of PG in Ovsynch synchronization protocols in multiparous lactating Khillar cows (6 each) under field conditions. The tumefaction of vulval lips and cervical mucus discharge were most prominent estrus behaviour signs exhibited by 88 % cows in all the three groups. The mean serum progesterone levels on the day of estrus were 0.95 ± 0.77, 0.82 ± 0.04 and 0.90 ± 0.03 ng/mL in Ovsynch, double PG Ovsynch and increasing dose of PG in Ovsynch protocols, respectively, which did not differ statistically. The pregnancy rate observed was also nonsignificantly higher in double PG Ovsynch synchronized cows than other two groups (50% vs 33.33%). The serum progesterone during estrus in double PG Ovsynch synchronization protocol was lower indicating better estrus quality with recorded higher pregnancy rate than Ovsynch and increasing dose PG protocol. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Indian Journal of Veterinary Sciences & Biotechnology. 2026/01, Vol. 22, Issue 1, p200
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2026
  • ISSN:2394-0247
  • DOI:10.48165/ijvsbt.22.1.41
  • Accession Number:191570646
  • Copyright Statement:Copyright of Indian Journal of Veterinary Sciences & Biotechnology is the property of Indian Journal of Veterinary Sciences & Biotechnology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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