Testicular Biometry as a Non-invasive Indicator of Semen Quality and Sperm Kinematics in Black Bengal Bucks
Pratyanshu Srivastava, Atul Saxena, Mukul Anand, Amrita Priyadershi, Anoop Kumar, Ankit Saran, Ashutosh Mishra, Nagendra Singh, Anuj Kumar, Jitendra Kumar Agrawal, Chetna Gangwar, Uttam Kumar Sahu, Neeraj Srivastava, Ravi Dabas
Journal of Scientific Research and Reports · pp. 910–922 · Published 14 Jul 2026
10.9734/jsrr/2026/v32i74356Abstract
Scrotal circumference (SC) is widely used as an indicator of male reproductive potential; however, its predictive value for detailed seminal and kinematic characteristics remains poorly defined in Black Bengal bucks. This study evaluated the association of testicular biometry with semen quality and computer-assisted sperm analysis (CASA)-derived sperm motion traits in 15 clinically healthy bucks, retrospectively grouped by SC as 19–22 cm (Group I) and ≥22–25 cm (Group II). The results showed that bucks with larger SC had significantly greater testicular width, testicular volume and estimated testicular weight (P < 0.05), indicating greater testicular development. These biometric differences were accompanied by improved seminal attributes, including higher semen volume, sperm concentration, mass motility and sperm viability (P < 0.05). CASA evaluation further showed higher progressive motility and increased velocity and distance indices, including VSL, VCL, DAP and DSL, in Group II than in Group I (P < 0.05). Correlation analysis demonstrated stronger associations between SC, testicular measurements, semen volume and sperm concentration in bucks with SC ≥22 cm (r = 0.668–0.870; P < 0.05 or P < 0.01), whereas the corresponding relationships were weaker in bucks with smaller SC. Although the study was based on a modest sample size, the findings suggest that SC and related testicular biometric traits may serve as practical, non-invasive indicators of semen quality and sperm kinematics in Black Bengal bucks, supporting their use in preliminary breeding-male selection and AI-based genetic improvement programmes.
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