Analysing Motility Parameters on Fresh Bull Semen Could Help to Predict Resistance to Freezing: A Preliminary Study

Batches of straws often need to be thrown away after freezing because of a too few number of motile or progressive sperm cells after thawing. Our objective was to evaluate the possibility to predict before freezing the quality of the semen after freezing/thawing. Computer-Aided Sperm Analysis was pe...

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Bibliographic Details
Published in:Reproduction in domestic animals 2008-10, Vol.43 (5), p.606-611
Main Authors: Defoin, L, Granados, A, Donnay, I
Format: Article
Language:English
Subjects:
Analysis of Variance
Animal reproduction
Animals
Artificial insemination
Biological and medical sciences
Body fluids
Breeding of animals
Cattle
Cattle - physiology
Cryopreservation - methods
Cryopreservation - veterinary
Freezing
Fundamental and applied biological sciences. Psychology
Male
Males
Mammalian reproduction. General aspects
Semen - physiology
Semen Preservation - methods
Semen Preservation - veterinary
Sperm Count
Sperm Motility - physiology
Spermatozoa - cytology
Spermatozoa - physiology
Vertebrates: reproduction
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Summary:Batches of straws often need to be thrown away after freezing because of a too few number of motile or progressive sperm cells after thawing. Our objective was to evaluate the possibility to predict before freezing the quality of the semen after freezing/thawing. Computer-Aided Sperm Analysis was performed on motility parameters both before and after freezing of 20 ejaculates from different bulls. Significant variation between bulls was observed both before and after freezing for all the analysed traits ( anova2; p < 0.001): proportion of motile (%mot) and progressive (%prog) sperm, velocity on the curved line (VCL), velocity on the straight line (VSL), velocity on the average path (VAP), linearity (VSL/VCL), beat cross frequency and average orientation change of the head. Freezing significantly altered the motility parameters and correlations were found between samples analysed before and after freezing (Pearson coefficient: R = 0.43-0.72; p < 0.05). The mean VAP, VSL and the %prog obtained before freezing were highly correlated to the %mot and %prog observed after freezing (R = 0.75-0.82; p < 0.001). Applying thresholds on mean VAP and VSL values allowed us to predict respectively 6 and 7 of nine batches that would be rejected after freezing due to a too low %prog (
ISSN:0936-6768
1439-0531
DOI:10.1111/j.1439-0531.2007.00964.x