Faecal and plasma steroid evaluations are well established approaches for monitoring reproductive function in mares. The purpose of this study was to detect the ovarian and uterine changes by transrectal ultrasonographic scanning, beside the estimation of progesterone and estradiol-17β profiles in plasma and faecal samples of Arabian mares. Eight cyclic barren mares of different parities were used in the current work, and hormones were assayed using radioimmunoassay. The continuous significant increase in the follicular size starting from day–7 until reaching its largest size at 0-day of ovulation was accompanied by a continuous significant (P<0.05) decrease and increase in the profile of plasma progesterone (P4) and estradiol-17β (E1-17β), respectively. In addition, the minimum level of P4, and the maximum level of E1-17β were detected at 0-day of ovulation. Similarly, the faecal progesterone metabolites (20∝-hydroxy-progesterone; i.e. 20∝-G) content showed a significant (P<0.05) decrease in its value starting from day –7 reaching its minimum level at second day post ovulation, meanwhile, the faecal E1-17β content was reaching its maximum value on day 1 after ovulation. Following ovulation, the plasma P4 and E1-17β content showed a continuous significant (P<0.05) increase, and the faecal levels of both 20∝-G and E1-17β showed a continuous significant decrease. Meanwhile, the levels of P4 in plasma and 20∝-G in faecal samples increased starting from the 3rd day post ovulation, and E1-17β decreased starting from the 2nd day post ovulation. The levels of P4 in plasma and 20∝-G in faeces increased significantly (P<0.05) at days 14 up to 45 of gestation than those recorded during ovulation in non-pregnant mares. Moreover, the levels of E1-17β in plasma and faeces increased significantly (P<0.05) at days 21 up to 45 of gestation than those estimated during 14th day of gestation as well as in non-pregnant mares. In conclusion, both ultrasonography and analysis of P4 and E1-17β in plasma, and 20∝-G and E1-17β in faeces have a predictive value for assessment of the follicular sizes, ovulation time and early pregnancy in Arabian mares.
Read full abstract