Identification of Sperm Morphometric Subpopulations in Two Different Portions of the Boar Ejaculate and Its Relation to Postthaw Quality

Identification of Sperm Morphometric Subpopulations in Two Different Portions of the Boar Ejaculate and Its Relation to Postthaw Quality

A statistical approach using sequentially principal component analysis (PCA), clustering, and discriminant analyses was developed to identify sperm morphometric subpopulations in well‐defined portions of the fresh boar ejaculate. Semen was obtained as 2 portions (the first 10 mL of the sperm‐rich fr...

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Bibliographic Details
Published in:Journal of andrology Vol. 26; no. 6; pp. 716 - 723
Main Authors: Pena, Fernando J, Saravia, Fernando, Garcia-Herreros, Manuel, Nunezmartinez, Ivan, Tapia, Jose Antonio, Johannisson, Anders, Wallgren, Margaretha, Rodriguez-Martinez, Heriberto
Format: Journal Article
Language:English
Published: Oxford, UK Am Soc Andrology 01-11-2005
Blackwell Publishing Ltd
American Society of Andrology
Subjects:
Animals
ASMA
Biological and medical sciences
cluster analysis
cryopreservation
Cryopreservation - methods
Cryopreservation - veterinary
Discriminant Analysis
Ejaculation
Fundamental and applied biological sciences. Psychology
Gynecology. Andrology. Obstetrics
Male
Male genital diseases
Mammalian male genital system
Medical sciences
Principal Component Analysis
Semen Preservation - methods
Semen Preservation - veterinary
Sperm Motility
sperm subpopulations
Spermatozoa - classification
Spermatozoa - cytology
Swine
TECHNOLOGY
TEKNIKVETENSKAP
Vertebrates: reproduction
Reproduction
Spermatozoa
Ejaculate
Germinal cell
Male genital system
ASMA
sperm subpopulations
cluster analysis
cryopreservation
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Summary:A statistical approach using sequentially principal component analysis (PCA), clustering, and discriminant analyses was developed to identify sperm morphometric subpopulations in well‐defined portions of the fresh boar ejaculate. Semen was obtained as 2 portions (the first 10 mL of the sperm‐rich fraction and the rest of the ejaculate, respectively) and frozen using a conventional protocol. Before freezing, an aliquot was used for computer‐assisted sperm morphometry analysis (ASMA). Postthaw quality was evaluated using computer‐assisted sperm analysis (CASA), and an annexin‐V/PI assay evaluated sperm membranes. The PCA revealed that 3 variables represented more than 78% of the cumulative variance in sperm subpopulations. The clustering and discriminant analyses, based on 5780 individual spermatozoa, revealed the existence of 4 sperm subpopulations. The relative percentage of these subpopulations varied between boar and ejaculate portions. Linear regression models based on measured morphometric characteristics could account for up to 36% of the percentage of intact sperm membranes postthaw. The ASMA protocol used in our study was useful to detect subtle morphometric differences between spermatozoa, and the combination of this analysis with a multivariate statistical procedure gave new information on the biological characteristics of boar ejaculates that is not given by conventional sperm analysis.
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ISSN:0196-3635
1939-4640
1939-4640
DOI:10.2164/jandrol.05030