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Analysis of testicular variables, semen motility and kinematics-derived indexes in boar using a CASA-Mot system.

Mónica Madrigal ValverdeRodrigo F BittencourtLindomar S BritoMaicon P LentsElisiane S SantosAnthony Valverde-Abarca
Published in: Reproduction in domestic animals = Zuchthygiene (2020)
The present study aimed to evaluate differences in area, volume and testicular weight among groups related to breed and age of boar and establish associations between testicular parameters and seminal characteristics. Seminal quality has been studied using computer-assisted semen analysis (CASA) systems that reduce the subjectivity of kinematic parameters. Based on the data obtained through this system, sperm quality indexes and their derived parameters have been assessed to identify a better estimator for determining movement and velocity parameters. We also established indexes of velocity and sperm movement for boar semen. To this end, we evaluated 191 ejaculate samples from 63 boars. Differences related to the effects of season and age on quality boar semen were found (p ≤ .05) in the animal groups. Indexes were established for velocity and sperm movement based on CASA-Mot, and we proposed a sperm movement index (SMI) and sperm velocity index (SVI) with the CASA-Mot variables. Correlations were found (p < .05) among sperm indexes and CASA-Mot variables. Boar characteristics were found to be associated with some CASA-Mot variables, and the estimated SMI and SVI indexes predicted a greater variation in kinematic characteristics compared to the parameters evaluated separately using the CASA-Mot system.
Keyphrases
  • germ cell
  • quality improvement
  • body mass index
  • machine learning
  • weight loss
  • electronic health record
  • escherichia coli
  • big data
  • weight gain
  • pseudomonas aeruginosa
  • artificial intelligence
  • data analysis