Animal reproduction science | 2019

Comparison of pregnancy rates with transfer of in vivo produced embryos derived using multiple ovulation and embryo transfer (MOET) with in vitro produced embryos by somatic cell nuclear transfer (SCNT) in the dromedary camel (Camelus dromedaries).

 
 
 
 

Abstract


In the present study, there was comparison of pregnancy rates with transfer of in vivo-produced embryos using multiple ovulation and embryo transfer (MOET) with in vitro-produced embryos by somatic cell nuclear transfer (SCNT) in dromedary camels. In vivo-produced embryos were collected from donors after super-stimulation of follicular development on day 7 after ovulation, while in vitro-derived embryos were produced using SCNT from in vivo-matured oocytes collected from camels after follicular development super-stimulation. As a result of estrous synchronization, all recipient camels for both groups were 1 day earlier in stage of estrous cycle than developmental status of embryos at the time of transfer. The animals into which embryos were transferred were monitored at 7-day intervals after embryo transfer for signs of pregnancy based on response to presence of a male and there was ultrasonic confirmation on days 35 and 60 subsequent to day of estrus in recipient animals. A greater proportion of recipients (P\u2009<\u2009 0.05) were considered pregnant based on response to male presence when there was transfer of MOET-(76.8 ± 3.2) compared with SCNT- (26.4 ± 2.4) derived embryos on day 14. There was no difference in pregnancy losses in subsequent weeks until day 60 between groups. There were also no differences in calving rates of females in which MOET- (91.7%) and SCNT- (93.3%) derived embryos were transferred. These results indicate pregnancies at day 60 with SCNT-derived embryos are sustained for the remainder of gestation periods similar to when there was transfer of MOET-derived embryos in dromedary camels.

Volume 209
Pages \n 106132\n
DOI 10.1016/J.ANIREPROSCI.2019.106132
Language English
Journal Animal reproduction science

Full Text