Evaluation of the effect of laboratory methods on semen analysis and breeding soundness examination (BSE) classification in stallions.
Abstract: The stallion Breeding Soundness Examination (BSE), as proposed by the Society for Theriogenology, recommends that a stallion produce a minimum of one billion progressively motile, morphologically normal sperm (PMMNS) in the second of two ejaculates collected 1 h apart to be classified as a Satisfactory Prospective Breeder. With this in mind, the first objective of this study was to determine if the classification outcome of the traditional BSE differs depending on the methods used to evaluate sperm motility, morphology and concentration. We hypothesized that application of Computer Assisted Sperm Motion Analysis (CASA) and Differential Interference Contrast (DIC) microscopy to stallion semen evaluation would yield a more conservative estimate of the number of PMMNS. If this hypothesis is correct, then the use of CASA and DIC microscopy for semen evaluation would result in significantly fewer stallions meeting the historical standards for classification as a Satisfactory Prospective Breeder. Additionally, we determined whether the use of these modern technologies resulted in more accurate prediction of the actual fertility of a stallion compared to the use of more traditional technologies. Our results support the hypothesis that modern semen analysis techniques (including CASA and DIC microscopy) result in more conservative estimates of the number of PMMNS when compared to standard semen analysis techniques. As a result, the choice of methods used for semen analysis may impact the outcome of the traditional BSE. However, none of the methodologies used in this study reliably predicted different levels of fertility among this group of moderately to highly fertile stallions within the context of the traditional BSE. Additionally, the only individual semen measure that was significantly correlated with fertility was the percentage of morphologically normal sperm as determined using DIC microscopy. These results caution against strict use of the traditional 'cutoff' of 1 billion PMMNS for classification of breeding potential, particularly when attempting to differentiate between moderately and highly fertile stallions and regardless of the laboratory methods employed for semen analysis.
Copyright © 2019 Elsevier Inc. All rights reserved.
Publication Date: 2019-09-23 PubMed ID: 31581045DOI: 10.1016/j.theriogenology.2019.09.035Google Scholar: Lookup
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Summary
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The research investigates if the outcome of a stallion’s Breeding Soundness Examination (BSE) could vary based on the laboratory methods utilized for sperm analysis. The modern semen analysis techniques like Computer Assisted Sperm Motion Analysis (CASA) and Differential Interference Contrast (DIC) microscopy appear to provide more conservative estimates than traditional approaches, affecting the BSE outcome. However, these methods are unable to reliably predict varied fertility levels in highly fertile stallions.
Investigation Into Semen Analysis Techniques
- The research aimed to see if different laboratory methods, when applied to the BSE of a stallion, could affect the results. The BSE, recommended by the Society for Theriogenology, stipulates a stallion should have a minimum of one billion progressively motile, morphologically normal sperm (PMMNS) in the second of two ejaculates sourced one hour apart to be labeled as a Satisfactory Prospective Breeder.
- Formal evaluations of sperm motility, morphology, and concentration were conducted, with the hypothesis that the application of CASA and DIC microscopy would yield a more conservative figure of PMMNS.
Impact of Modern Techniques
- The researchers hypothesized that if CASA and DIC were used in the semen evaluation, fewer stallions would meet the historical standards set for the classification of a Satisfactory Prospective Breeder.
- Additionally, they wanted to see if the introduction of these modern technologies meant a more accurate prediction of a stallion’s fertility as compared to older, traditional methodologies.
Results of the Study
- The findings corroborated the hypothesis that when modern semen analysis techniques, such as CASA and DIC microscopy, were utilized, more conservative estimates of PMMNS were deduced than when traditional semen analysis techniques were utilised.
- It was found that the methodologies used could impact the results of the traditional BSE.
- However, none of the various techniques used in the study could convincingly predict different fertility levels among the sample group of moderately to highly fertile stallions.
- The only individual semen measure that had a significant connection with fertility was the percentage of morphologically normal sperm. This result was achieved through the application of DIC microscopy.
Implications of the Study
- The results suggest caution when applying the traditional ‘cutoff’ of 1 billion PMMNS for deciding breeding potential, especially when the aim is to differentiate between moderately and highly fertile stallions – regardless of the laboratory methods utilized for semen analysis.
Cite This Article
APA
Whitesell K, Stefanovski D, McDonnell S, Turner R.
(2019).
Evaluation of the effect of laboratory methods on semen analysis and breeding soundness examination (BSE) classification in stallions.
Theriogenology, 142, 67-76.
https://doi.org/10.1016/j.theriogenology.2019.09.035 Publication
Researcher Affiliations
- Department of Clinical Studies, New Bolton Center, University of Pennsylvania, School of Veterinary Medicine, 382 W. Street Rd., Kennett Square, PA, 19348, USA.
- Department of Clinical Studies, New Bolton Center, University of Pennsylvania, School of Veterinary Medicine, 382 W. Street Rd., Kennett Square, PA, 19348, USA.
- Department of Clinical Studies, New Bolton Center, University of Pennsylvania, School of Veterinary Medicine, 382 W. Street Rd., Kennett Square, PA, 19348, USA.
- Department of Clinical Studies, New Bolton Center, University of Pennsylvania, School of Veterinary Medicine, 382 W. Street Rd., Kennett Square, PA, 19348, USA. Electronic address: rmturner@vet.upenn.edu.
MeSH Terms
- Animals
- Cell Count / instrumentation
- Cell Count / veterinary
- Horses
- Male
- Semen
- Semen Analysis / methods
- Semen Analysis / veterinary
- Sperm Motility / physiology
- Testis / anatomy & histology
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