Maximizing the reproductive performances of anestrus dairy buffalo cows using GnRH analogue-loaded chitosan nanoparticles during the low breeding season.

Anim Reprod Sci

Animal and Fish Production Department, Faculty of Agriculture (El-Shatby), Alexandria University, Alexandria 21545, Egypt. Electronic address:

Published: September 2022

The present study was designed to evaluate the efficiency of GnRH-loaded chitosan-TPP nanoparticles (GnRH-CsNPs) to improve the reproductive performance of anestrus buffaloes during the summer. Egyptian buffaloes (n = 50) were synchronized for estrus either with the ovsynch protocol (OVSs, n = 20) or with the modified ovsynch protocol (OVSm, n = 30) using GnRH-CsNPs. Sera samples were collected on days 0, 7, and 10 (insemination day); and days15 and 30 post insemination for estradiol (E) and progesterone (P) determination. The follicles were monitored on day 0 and day 10. CLs diameter and pregnancy diagnosis were scanned on day 30 post insemination. Using a half dose of GnRH as GnRH-CsNPs in the OVSm improved (P < 0.05) the number of total and large follicles, and the total surface area of subordinate and large follicles compared to the OVSs protocol. The OVSm increased (P < 0.05) the largest follicles diameter on day 10 and CLs diameter on day 30 post insemination compared to the OVSs protocol. E concentration was greater (P < 0.05) on insemination day, and P concentrations were higher (P < 0.05) on days 15 and 30 post insemination in the OVSm than in the OVSs. The estrus induction rate was 80 % higher (P < 0.05) in the OVSm and cows exhibited estrus within 17.54 h earlier than the OVSs (50 % within 42 h), respectively. The conception rate increased in OVSm compared to OVSs (75 vs. 40 %, respectively). In conclusion, nanofabrication of GnRH allowed to reduce hormonal dose to 50 % without any adverse effects on fertility, and improved ovarian activity and reproductive performance of anestrus buffaloes during the low breeding season.

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Source
http://dx.doi.org/10.1016/j.anireprosci.2022.107044DOI Listing

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