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Predicting the Outcome of Equine Artificial Inseminations Using Chilled Semen

SIMPLE SUMMARY: The outcome of equine artificial inseminations can be predicted with a high level of accuracy—87.9% if analyzed pre-chilling, and 95% if analyzed post-chilling—by optimizing a fertility prediction algorithm for individual stallions in conjunction with the Samson™ system and the reduc...

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Autores principales: Medica, Ashlee Jade, Lambourne, Sarah, Aitken, Robert John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093274/
https://www.ncbi.nlm.nih.gov/pubmed/37048459
http://dx.doi.org/10.3390/ani13071203
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author Medica, Ashlee Jade
Lambourne, Sarah
Aitken, Robert John
author_facet Medica, Ashlee Jade
Lambourne, Sarah
Aitken, Robert John
author_sort Medica, Ashlee Jade
collection PubMed
description SIMPLE SUMMARY: The outcome of equine artificial inseminations can be predicted with a high level of accuracy—87.9% if analyzed pre-chilling, and 95% if analyzed post-chilling—by optimizing a fertility prediction algorithm for individual stallions in conjunction with the Samson™ system and the reduction of the probe WST-1. ABSTRACT: This study aimed to determine whether an analysis of stallion ejaculate could accurately predict the likelihood of pregnancy resulting from artificial insemination in mares. This study involved 46 inseminations of 41 mares, using 7 standardbred stallions over a 5-week period at an Australian pacing stud. Semen quality was assessed immediately after collection and again after chilling at ~5 °C for 24 h. The assessment involved evaluating ejaculate volume, sperm concentration, and motility parameters using an iSperm(®) Equine portable device. After the initial evaluation, a subpopulation of cells was subjected to a migration assay through a 5 µm polycarbonate filter within a Samson™ isolation chamber over a 15 min period. The cells were assessed for their concentration, motility parameters, and ability to reduce the membrane impermeant tetrazolium salt WST-1. The data, combined with the stallion and mare’s ages, were used to predict the likelihood of pregnancy, as confirmed by rectal ultrasound sonography performed 14 days post ovulation. The criteria used to predict pregnancy were optimized for each individual stallion, resulting in an overall accuracy of 87.9% if analyzed pre-chilling and 95% if analyzed post-chilling. This study suggests that an analysis of stallion ejaculate can be used to predict the likelihood of pregnancy resulting from artificial insemination in mares with a high level of accuracy.
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spelling pubmed-100932742023-04-13 Predicting the Outcome of Equine Artificial Inseminations Using Chilled Semen Medica, Ashlee Jade Lambourne, Sarah Aitken, Robert John Animals (Basel) Article SIMPLE SUMMARY: The outcome of equine artificial inseminations can be predicted with a high level of accuracy—87.9% if analyzed pre-chilling, and 95% if analyzed post-chilling—by optimizing a fertility prediction algorithm for individual stallions in conjunction with the Samson™ system and the reduction of the probe WST-1. ABSTRACT: This study aimed to determine whether an analysis of stallion ejaculate could accurately predict the likelihood of pregnancy resulting from artificial insemination in mares. This study involved 46 inseminations of 41 mares, using 7 standardbred stallions over a 5-week period at an Australian pacing stud. Semen quality was assessed immediately after collection and again after chilling at ~5 °C for 24 h. The assessment involved evaluating ejaculate volume, sperm concentration, and motility parameters using an iSperm(®) Equine portable device. After the initial evaluation, a subpopulation of cells was subjected to a migration assay through a 5 µm polycarbonate filter within a Samson™ isolation chamber over a 15 min period. The cells were assessed for their concentration, motility parameters, and ability to reduce the membrane impermeant tetrazolium salt WST-1. The data, combined with the stallion and mare’s ages, were used to predict the likelihood of pregnancy, as confirmed by rectal ultrasound sonography performed 14 days post ovulation. The criteria used to predict pregnancy were optimized for each individual stallion, resulting in an overall accuracy of 87.9% if analyzed pre-chilling and 95% if analyzed post-chilling. This study suggests that an analysis of stallion ejaculate can be used to predict the likelihood of pregnancy resulting from artificial insemination in mares with a high level of accuracy. MDPI 2023-03-30 /pmc/articles/PMC10093274/ /pubmed/37048459 http://dx.doi.org/10.3390/ani13071203 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Medica, Ashlee Jade
Lambourne, Sarah
Aitken, Robert John
Predicting the Outcome of Equine Artificial Inseminations Using Chilled Semen
title Predicting the Outcome of Equine Artificial Inseminations Using Chilled Semen
title_full Predicting the Outcome of Equine Artificial Inseminations Using Chilled Semen
title_fullStr Predicting the Outcome of Equine Artificial Inseminations Using Chilled Semen
title_full_unstemmed Predicting the Outcome of Equine Artificial Inseminations Using Chilled Semen
title_short Predicting the Outcome of Equine Artificial Inseminations Using Chilled Semen
title_sort predicting the outcome of equine artificial inseminations using chilled semen
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093274/
https://www.ncbi.nlm.nih.gov/pubmed/37048459
http://dx.doi.org/10.3390/ani13071203
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