Abstract
The aims of this study were to test the presence of discrete sperm subpopulations in Florida goat ejaculates using a computer-assisted sperm analysis (CASA) system and to establish the relationship between the distribution of the subpopulations found and individual buck, total motility, and sperm concentration. Clustering methods and discriminant analysis were applied to identify motile sperm subpopulations within the semen samples. Principal component analysis revealed that three principal components represented more than the 88% of the variance. After the cluster analysis was performed four motile sperm subpopulations were identified. Subpopulation 1 consisted of rapid and linear sperm (39.84%), Subpopulation 2 consisted of slow but linear spermatozoa (33.23%), Subpopulation 3 consisted of rapid, high ALH but non-linear spermatozoa (14.63%), and Subpopulation 4 consisted of slow and non-linear spermatozoa (12.31%). There were significant differences in the distribution of the four subpopulations (P < 0.001) as well as in the percentage of total motility and the overall sperm concentration (P < 0.05) in fresh ejaculates among the four bucks tested. In conclusion, four well-defined motile sperm subpopulations were identified in Florida goat ejaculates. The relationship between the distribution of the sperm subpopulations and individual buck, total motility, and sperm concentration shows that the spermatozoa of each have different motility patterns. Therefore, the study of discrete subpopulations of motile spermatozoa could lead to a substantial increase in information acquired during caprine semen analysis.
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