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Reproduction in domestic animals = Zuchthygiene2003; 38(4); 305-311; doi: 10.1046/j.1439-0531.2003.00451.x

The predictive value of semen analysis in the evaluation of stallion fertility.

Abstract: Pregnancy rates in managed horse populations depend on the innate fertility of the mares and stallions involved and on the quality of breeding management. Of course, because a single stallion usually mates many mares, stallion fertility is a critical factor in the overall success of a breeding program. Unfortunately, accurate evaluation of stallion fertility per se requires a large number of normal mares to be mated and is necessarily retrospective. Rather, the ideal is to predict fertility in advance of the stallion's breeding career, and this is currently attempted by way of a thorough physical examination and a routine analysis of semen quality. However, while such a 'breeding soundness examination' identifies stallions that clearly lack the capacity for adequate fertility, it is of limited use for predicting the level of fertility and fails to identify some seriously sub-fertile animals. Similarly, while various sperm function tests (e.g., sperm head morphometry, the hypoosmotic swelling test, glass wool-sephadex filtration, progesterone receptor exposure) have been shown to correlate fairly well with fertility in the field, most examine only a single or a narrow range of the attributes that a sperm must possess if it is to fertilize an oocyte in vivo, and are thus more useful for identifying specific causes of sub-fertility than for predicting the level of fertility. On the other hand, combining the results of the various sperm function tests does improve the reliability of fertility estimation and current research is therefore concentrated on identifying a range of tests that covers as many important sperm attributes as possible but that can be performed rapidly and cheaply. In this respect, flow-cytometry has proven to be an ideal tool because it allows the objective, rapid and simultaneous analysis of a number of properties in a large number of sperm. Moreover, stains are available for an increasing range of sperm characteristics including viability, capacitation and acrosome status, mitochondrial activity and chromatin integrity. Flow-cytometric analysis of sperm with appropriate probes thus offers considerable promise for the prediction of stallion fertility.
Publication Date: 2003-07-31 PubMed ID: 12887569DOI: 10.1046/j.1439-0531.2003.00451.xGoogle Scholar: Lookup
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Summary

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This research paper explores methods of predicting stallion fertility, primarily focusing on semen analysis and noting that although current tests can identify fertility issues, they aren’t as effective at defining levels of fertility. The overall aim of the research is to develop a more reliable and cost-effective method of predicting fertility in stallions. Current research is now centered on identifying a range of tests that covers a multitude of important sperm attributes. The paper suggests that flow-cytometry, which allows rapid and concurrent analysis of multiple sperm properties, offers significant potential in predicting stallion fertility.

Understanding the Importance of Stallion Fertility Testing

  • In managed horse populations, the overall success rate of breeding programs primarily depends on the fertility of mares and stallions. Stallions are especially critical due to the higher number of potential mates.
  • The research highlights the necessity for a prospective rather than retrospective fertility evaluation. A proactive approach would allow breeding programs to assess the future reproductive potential of a stallion and not just reflect on past performance.

Current Methods of Fertility Estimation

  • At present, stallion fertility assessment relies on a thorough physical examination and routine semen analysis. This procedure, often called a ‘breeding soundness examination‘, can identify stallions with obvious fertility issues. However, these methods are less effective when it comes to determining the level of fertility and can overlook some sub-fertile animals.
  • Sperm function tests, like sperm head morphometry, the hypoosmotic swelling test, glass wool-sephadex filtration, and progesterone receptor exposure, have demonstrated reasonable correlations with field fertility. However, these tests usually focus on a single or narrow range of sperm attributes and are better at indicating specific sub-fertility causes rather than predicting fertility levels.

Improving Fertility Estimation

  • The researchers suggest that combining the results of various sperm function tests can improve fertility estimation reliability. The challenge, however, lies in identifying a suite of tests that can rapidly and inexpensively examine multiple vital sperm attributes.
  • Flow-cytometry emerges as a promising tool in this respect. This method allows the objective, quick, and simultaneous analysis of numerous sperm properties.
  • Flow-cytometry can examine a growing range of sperm features, including viability, capacitation and acrosome status, mitochondrial function, and chromatin integrity.
  • The paper concludes by emphasizing the significant potential of flow-cytometric analysis in predicting stallion fertility when it is used in conjunction with the appropriate probes.

Cite This Article

APA
Colenbrander B, Gadella BM, Stout TA. (2003). The predictive value of semen analysis in the evaluation of stallion fertility. Reprod Domest Anim, 38(4), 305-311. https://doi.org/10.1046/j.1439-0531.2003.00451.x

Publication

ISSN: 0936-6768
NlmUniqueID: 9015668
Country: Germany
Language: English
Volume: 38
Issue: 4
Pages: 305-311

Researcher Affiliations

Colenbrander, B
  • Departments of Equine Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands. b.colenbrander@vet.uu.nl
Gadella, B M
    Stout, T A E

      MeSH Terms

      • Animals
      • Female
      • Fertility
      • Flow Cytometry / standards
      • Horses / physiology
      • Male
      • Predictive Value of Tests
      • Pregnancy
      • Pregnancy Rate
      • Semen / cytology
      • Semen / physiology
      • Semen Preservation
      • Sperm Count
      • Sperm Motility

      References

      This article includes 64 references

      Citations

      This article has been cited 31 times.
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