PREDICTION OF SEMEN PRODUCTION POTENTIAL USING CONVENTIONAL AND MACHINE LEARNING APPROACHES IN DAIRY STUD OF TAMIL NADU
Loading...
Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
A study was conducted to predict the semen production potential of bulls with the objectives of analysing the genetic and non-genetic factors affecting the seminal attributes, understanding the molecular variations influencing semen production and developing suitable prediction models for semen production traits. A total of 1,85,413 ejaculates of various genetic groups of cattle maintained at four frozen semen stations of Tamil Nadu from year 2001 to 2020 were analysed for semen production and quality traits.
The factors viz. genetic group, farm, order of ejaculate, season, age and period showed significant influence at various levels on all the production and quality traits. The overall estimated marginal means for volume of ejaculate, concentration of spermatozoa, initial motility, total initial motile spermatozoa, total doses produced per ejaculate, post-thaw motility and total post-thaw motile spermatozoa were 3.11 ± 0.11 mL, 963 ± 30.60 million per mL, 79.50 ± 1.29 per cent, 1847 ± 118 million, 151.00 ± 7.20, 51 ± 0.42 per cent and 1535 ± 80.20 million respectively. The quality traits viz. live spermatozoa, total abnormal spermatozoa, hypo-osmotic reacted spermatozoa and acrosome integrity were also influenced by farm, genetic group, season, age and period of semen collection.