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Additional value of computer assisted semen analysis (CASA) compared to conventional motility assessments in pig artificial insemination

Authors :
Broekhuijse, M.L.W.J.
Sostaric, E.
Feitsma, H.
Gadella, B.M.
Biology of Reproductive Cells
Dep Gezondheidszorg Landbouwhuisdieren
Dep Biochemie en Celbiologie
Biology of Reproductive Cells
Dep Gezondheidszorg Landbouwhuisdieren
Dep Biochemie en Celbiologie
Source :
Theriogenology, 76, 1473. Elsevier
Publication Year :
2010

Abstract

In order to obtain a more standardised semen motility evaluation, Varkens KI Nederland has introduced a computer assisted semen analysis (CASA) system in all their pig AI laboratories. The repeatability of CASA was enhanced by standardising for: 1) an optimal sample temperature (39 °C); 2) an optimal dilution factor; 3) optimal mixing of semen and dilution buffer by using mechanical mixing; 4) the slide chamber depth, and together with the previous points; 5) the optimal training of technicians working with the CASA system; and 6) the use of a standard operating procedure (SOP). Once laboratory technicians were trained in using this SOP, they achieved a coefficient of variation of < 5% which was superior to the variation found when the SOP was not strictly used. Microscopic semen motility assessments by eye were subjective and not comparable to the data obtained by standardised CASA. CASA results are preferable as accurate continuous motility dates are generated rather than discrimination motility percentage increments of 10% motility as with motility estimation by laboratory technicians. The higher variability of sperm motility found with CASA and the continuous motility values allow better analysis of the relationship between semen motility characteristics and fertilising capacity. The benefits of standardised CASA for AI is discussed both with respect to estimate the correct dilution factor of the ejaculate for the production of artificial insemination (AI) doses (critical for reducing the number of sperm per AI doses) and thus to get more reliable fertility data from these AI doses in return.

Details

ISSN :
18793231 and 0093691X
Volume :
76
Issue :
8
Database :
OpenAIRE
Journal :
Theriogenology
Accession number :
edsair.doi.dedup.....6f6b751ce434fde360414276a925a1ac