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Supplementation with long-acting injectable progesterone 3 days after TAI impaired luteal function in buffaloes.

Diego Cavalcante de SouzaAngela Maria Gonella-DiazaNelcio Antonio Tonizza de CarvalhoFlavia Morag ElliffJúlia Gleyci Soares de CarvalhoLais Mendes VieiraAntenor P Bonfim-NetoPaula de Carvalho PapaSarvpreet Singh GhumanEd Hoffman MadureiraGuilherme PugliesiMario BinelliPietro Sampaio Baruselli
Published in: Tropical animal health and production (2024)
Three experiments were conducted to evaluate the effects of long-acting injectable progesterone (iP4) in buffalo cows. In Experiment 1, ovariectomized buffaloes received 300 mg (iP300) or 600 mg (iP600) of iP4, and serum P4 concentrations were evaluated. In experiment 2, three groups were compared: control or administration of 300 mg of iP4 3 (iP4-D3) or 6 days (iP4-D6) after timed artificial insemination (TAI). On day 16, reproductive tract was recovered for conceptus, endometrium, and corpus luteum (CL) analysis. In experiment 3, pregnancy per AI (P/TAI) and proportion of pregnancy losses were evaluated after administration of 300 mg of iP4 3 (iP4-D3) or 6 days (iP4-D6) after TAI in lactating buffaloes. In experiment 1, serum P4 concentrations remained over 1 ng/mL for ~ 3 days in both groups. The 300 mg dose was used in subsequent experiments. In experiment 2, CL weight and endometrial glands density were decreased, and conceptus length was increased in iP4-D3 compared to control and to iP4-D6 (P < 0.05). Transcript abundance of Prostaglandin F Receptor (FP) and ISG15 in CL and of ISG15 and MX1 in endometrium was greater in iP4-D3 when compared to control and to iP4-D6 (P < 0.05). In experiment 3, there was no difference among experimental groups for P/TAI at D30 and pregnancy losses (P > 0.1); however, iP4-D3 presented a lower P/TAI at day 60 (41.7%) when compared to control (56.8%) and iP4-D6 (57.7%; P = 0.07). In conclusion, administration iP4 at 3 days after TAI affects CL development and consequently decreases final pregnancy outcome in buffaloes.
Keyphrases
  • preterm birth
  • physical activity
  • pregnant women
  • machine learning
  • wastewater treatment
  • pregnancy outcomes
  • dairy cows
  • antibiotic resistance genes