Evidence map›Paper›PMID 34944339›Full record

ReviewAnimals : an open access journal from MDPI2021

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

Dalen Zuidema, Karl Kerns, Peter Sutovsky

Open access · goldAbstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
7.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 63 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Enhancing cryopreservation performance in semen quality of Bali bulls (Journal of advanced veterinary and animal research · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Asian palmyra palm (Open veterinary journal · 2025
    Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Dalen ZuidemaDivision of Animal Sciences, University of Missouri, Columbia, MO 65211, USA.
Karl KernsDivision of Animal Sciences, University of Missouri, Columbia, MO 65211, USA.
Peter SutovskyDivision of Animal Sciences, University of Missouri, Columbia, MO 65211, USA.ORCID 0000-0002-9231-2823
Iowa State University · USUniversity of Missouri · USUniversity of Missouri Health System · US

Funding

United States Department of Agriculture 2019-67012-29714United States Department of Agriculture 2020-67015-31017United States Department of Agriculture 2021-539 67015-33404
6 · The paper itself

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.

Indexed as

artificial inseminationlivestock andrologysemen analysissemen storagesperm selectingsperm sexing

Identifiers

PMID34944339
PMCPMC8698075
OpenAlexW4200321817

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.