Evidence map›Paper›PMID 35065600›Full record

ArticleBMC genomics2022

Genome-wide association study of beef bull semen attributes.

M L Butler, A R Hartman, J M Bormann, R L Weaber, D M Grieger, M M Rolf

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Assessing Bovine Male Fertility in a Technological Age.Advances in anatomy, embryology, and cell biology · 2025
    Review
  7. QTLs and Candidate Genes Associated with Semen Traits in Merino Sheep.Animals : an open access journal from MDPI · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

6 authors at 1 institution in 1 country.

M L ButlerDepartment of Animal Science Kansas State University, Manhattan, Kansas, 66502, USA.
A R HartmanDepartment of Animal Science Kansas State University, Manhattan, Kansas, 66502, USA.
J M BormannDepartment of Animal Science Kansas State University, Manhattan, Kansas, 66502, USA.
R L WeaberDepartment of Animal Science Kansas State University, Manhattan, Kansas, 66502, USA.
D M GriegerDepartment of Animal Science Kansas State University, Manhattan, Kansas, 66502, USA.
M M RolfDepartment of Animal Science Kansas State University, Manhattan, Kansas, 66502, USA. megrolf@ksu.edu.
Kansas State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCattle production is dependent upon fertility because it results in producing offspring to offset production costs. A number of semen attributes are believed to affect fertility and are frequently measured as part of routine breeding soundness exams or semen collection procedures. The objective of this study was to perform a single-step genome-wide association study (ssGWAS) for beef bull semen attributes. Beef bull fertility phenotypes including volume (VOL), concentration (CONC), number of spermatozoa (NSP), initial motility (IMot), post-thaw motility (PTMot), three-hour post-thaw motility (3HRPTMot), percentage of normal spermatozoa (%NORM), primary abnormalities (PRIM), and secondary abnormalities (SEC) were obtained from two artificial insemination (AI) centers. A total of 1819 Angus bulls with 50,624 collection records were used for ssGWAS. A five-generation pedigree was obtained from the American Angus Association and consisted of 6521 sires and 17,136 dams. Genotypes on 1163 bulls were also obtained from the American Angus Association and utilized in ssGWAS.

resultsA multi-trait animal model was used for the estimation of single nucleotide polymorphism (SNP) effects. Significant SNP were those with a -log

conclusionsSeveral significant SNP were determined to be near or within quantitative trait loci (QTL) associated with beef bull semen attributes. In addition, genes associated with fertility were found to contain or be near the significant SNP found in the study. The results indicate there are regions of the genome that impact fertility, proving inclusion of genomic information into genetic evaluation should be advantageous for genetic improvement of male fertility traits.

Indexed as

Genome-Wide Association StudySemenAnimalsCattleFertilityInsemination, ArtificialMaleSemen AnalysisSpermatozoaSperm Motility

Identifiers

PMID35065600
PMCPMC8784002
OpenAlexW4207000096

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.