IN-VIVO BIOMETRY OF OVARIAN STRUCTURES DURING OESTRUS IN CROSSBRED CATTLE
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Date
2019-12
Authors
Satheshkumar, S
Ganesan, A
Murugan, M; et al.
TANUVAS
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Abstract
Biometry of preovulatory follicle (POF) and regressed corpus luteum (RCL) during oestrus were
ultrasonographically documented in crossbred cattle which were presented to Gynaecology Unit of Veterinary
Clinical Complex, Veterinary College and Research Institute, Tirunelveli from September 2017 to August2019. Data from 658 crossbred cattle (462 cows and 196 heifers) of two breeds viz., Jersey cross (JX; n =
542; cows: 392; heifers:150) and Holstein Friesian cross (HFX; n = 116; cows: 70; heifers: 46) maintained
under varied rural managemental conditions in Tirunelveli district, Tamil Nadu were analyzed for the study.
These animals were diagnosed to be in oestrus stage by ultrasonographic investigation. The diameter of the
POF and RCL was calculated by measuring the length and breadth of the respective structures as per standard
methods. Perusal of the data revealed that there was no significant difference in the diameter of the POF
between cows and heifers (10.7+1.5vs10.2+1.5 mm), however the diameter of the RCL was significantly (P <
0.05) larger in cows (12.7+1.7 mm) than heifers (10.2+2.1 mm). No breed wise difference could be observed
in relation to the diameter of ovarian structures. Even though the POF is larger in cows during cold months
of the year (11.1+1.4 mm) than hotter months (10.9+1.7 mm) there was no significant difference between
them. In heifers, the POF was non-significantly smaller and RCL was significantly (P < 0.05) larger during
colder months when compared to cows. Comparison of the data revealed that crossbred cattle maintained in
our tropical regions are having comparatively smaller ovarian structures than Bos taurus animals. Hence it is
concluded that separate biometrical standards should be framed for the ovarian structures of crossbred cattle
maintained in the tropical regions of our country.
Description
TNV_35thVCRI_CA_Dec-2019_IFBO-16
Keywords
Veterinary Science