Ultrasonographic Appearance and Echo-pattern Characterization of Donkeys’ Internal Reproductive Organs


  • Mohamed M.M. kandiel
  • Anwar A. El Shafey


Accessory sex glands, Donkey, Echo-pattern analysis, Maturity, Ultrasonography


The current study was achieved to designate the accessory sex glands, ampullae and urethra of 25 healthy male donkeys using the ultrasonography. Animals were classified according to their age into young peri-mature (i.e. ≤2 years; n=7) and old mature (>3 years; n=18). The examination was done per rectum by using Magic 2200 scanner with a 6 MHz linear transrectal transducer. The position of each gland was allocated, and length and width were measured. The dimensions of prostate gland lobes and ampulla ductus deferens significantly differed between the examined groups. The echo-pattern analysis of vesicular gland and ampulla ductus deferens, in terms of mean pixel value (MPV), pixel intensity (PI) and pixel number (PN), significantly differed between premature and mature donkeys. Age was significantly correlated with all sex glands measurements. There was a substantial confident relationship between MPV and PI and the dimensions of vesicular and ampulla ductus deferens. In the meantime, PN was clearly negatively correlated with vesicular gland length and width. In conclusions, ultrasound is a feasible non-invasive diagnostic tool that could be used to characterize the accessory glands along the course of the pelvic urethra of male donkeys reared in Egypt. The addressed measures as well as acoustic physiognomies of the secondary sex organs are considered a promising guide in fertility potential prediction and/or the discrimination of the pathological conditions of male reproductive organs.




How to Cite

kandiel, M. M., & El Shafey, A. A. (2017). Ultrasonographic Appearance and Echo-pattern Characterization of Donkeys’ Internal Reproductive Organs. Journal of Advanced Veterinary Research, 7(2), 39-46. Retrieved from https://advetresearch.com/index.php/AVR/article/view/58



Original Research