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Animals : an open access journal from MDPI2021; 11(12); doi: 10.3390/ani11123563

An Exploration of Current and Perspective Semen Analysis and Sperm Selection for Livestock Artificial Insemination.

Abstract: Artificial insemination of livestock has been a staple technology for producers worldwide for over sixty years. This reproductive technology has allowed for the rapid improvement of livestock genetics, most notably in dairy cattle and pigs. This field has experienced continuous improvements over the last six decades. Though much work has been carried out to improve the efficiency of AI, there are still many areas which continue to experience improvement, including semen analysis procedures, sperm selection techniques, sperm sexing technologies, and semen storage methods. Additionally, the use of AI continues to grow in beef cattle, horses, and small ruminants as the technology continues to become more efficient and yield higher pregnancy rates. In this review, AI trends in the various livestock species as well as cutting edge improvements in the aforementioned areas will be discussed at length. Future work will continue to refine the protocols which are used for AI and continue to increase pregnancy rates within all livestock species.
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Publication Date: 2021-12-15 PubMed ID: 34944339PubMed Central: PMC8698075DOI: 10.3390/ani11123563Google Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research article concerns itself with the study and advancements in artificial insemination (AI) techniques within the livestock industry, mainly in dairy cattle and pigs. It focusses on areas of development such as semen analysis, sperm selection, sperm sexing, and semen storage and discusses how these improvements contribute to higher pregnancy rates.

Improvements in Artificial Insemination

The paper elucidates the vital role AI has played in the livestock industry for over sixty years. This technology has been pivotal in genetic enhancements, particularly seen in dairy cattle and pigs. Key characteristics of AI include

  • AI’s efficiency continually witnesses improvement over the years.
  • Its efficacy is attributed to advancements in various areas such as semen analysis procedures, sperm selection techniques, sperm sexing technologies, and semen storage methods.
  • In recent years, AI usage has expanded in beef cattle, horses, and small ruminants, leading to higher pregnancy rates.

Agenda for Future Research

The research also indicates the future direction of work in AI, aiming for continuous refinement of AI procedures that can maximize pregnancy rates across all livestock species. This is important as it

  • Offers an insight into potential research areas that need exploration for the betterment of AI.
  • Highlights the goal to increase the successful rate of pregnancies, paving the way for growth in livestock populations.

Overall, the paper provides a comprehensive review of the ongoing advancements and applications of AI in the field of livestock breeding, and indicates areas for future improvement.

Cite This Article

APA
Zuidema D, Kerns K, Sutovsky P. (2021). An Exploration of Current and Perspective Semen Analysis and Sperm Selection for Livestock Artificial Insemination. Animals (Basel), 11(12). https://doi.org/10.3390/ani11123563

Publication

Animals : an open access journal from MDPI
ISSN: 2076-2615
NlmUniqueID: 101635614
Country: Switzerland
Language: English
Volume: 11
Issue: 12

Researcher Affiliations

Zuidema, Dalen
  • Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA.
Kerns, Karl
  • Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA.
  • Department of Animal Science, Iowa State University, Ames, IA 50011, USA.
Sutovsky, Peter
  • Division of Animal Sciences, University of Missouri, Columbia, MO 65211, USA.
  • Department of Obstetrics, Gynecology and Women's Health, University of Missouri, Columbia, MO 65211, USA.

Grant Funding

  • R01 HD084353 / NICHD NIH HHS
  • 2021-539 67015-33404 / United States Department of Agriculture
  • 2020-67015-31017 / United States Department of Agriculture
  • 2019-67012-29714 / United States Department of Agriculture

Conflict of Interest Statement

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

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