Determination of enzyme activity in rabbit seminal plasma and its relationship with quality semen parameters

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Abstract

The objective of this study was to determine rabbit seminal plasma enzyme activity. Furthermore, correlations between semen parameters and enzyme activity and male age were examined. The study was performed using 17 New Zealand White males from 5 to 9 mo old. Overall, 252 semen samples were collected from bucks from May to September. Semen characteristics were analysed and the seminal plasma was obtained by centrifugation. The activities of alanyl aminopeptidase (APN), aspartate transaminase (AST), alanine aminotransferase (ALT),?-glutamyl transpeptidase (GGT), lactate dehydrogenase (LDH) and alkaline phosphatase (ALKP) in the seminal plasma fluid were measured. Significant differences between males were found in APN, GGT, LDH, ALKP and ALT activities (P<0.05). No significant differences between enzyme activity and male age were found. We also observed significant positive correlations between male age and sperm concentration (r=0.26), progressive motility (r=0.17) and amplitude of lateral head displacement (r=0.21), and negative ones between male age and average path velocity (r=-0.56), velocity of the sperm head along its actual curvilinear path (r=-0.61), straight line velocity (r=-0.50), linearity index (r=-0.13), and cytoplasmic droplet (r=-0.33). Furthermore, a significant negative correlation between APN activity and the status of the acrosome (r=-0.20) and significant positive correlations between APN activity and the sperm abnormalities (r=0.21), GGT activity and sperm concentration (r=0.34) and the status of the acrosome (r=0.31), and ALKP activity and sperm concentration were observed (r=0.41). In our study, APN and GGT seem to be the most predictive enzymes for rabbit semen quality.

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APA

Viudes-De-Castro, M., Crespo, C. L., Martínez, M. A., & Vicente, J. S. (2015). Determination of enzyme activity in rabbit seminal plasma and its relationship with quality semen parameters. World Rabbit Science, 23(4), 247–253. https://doi.org/10.4995/wrs.2015.4064

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