Evidence map›Paper›PMID 36701372›Full record

ArticlePloS one2023

Multi-breed genomic predictions and functional variants for fertility of tropical bulls.

Laercio R Porto-Neto, Pamela A Alexandre, Nicholas J Hudson, John Bertram, Sean M McWilliam, Andre W L Tan, Marina R S Fortes, Michael R McGowan, Ben J Hayes, Antonio Reverter

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
6.6field-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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Better Multi-Breed Genomic Predictions for Tropical Bull Fertility Using a Breed-Adjusted Genomic Relationship Matrix.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
    Article
  2. Genomic Analysis of Inbreeding Depression on Productive Traits in Rubia Galega Beef Cattle Breed.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
    Article
  3. Combining genomics and semen microbiome increases the accuracy of predicting bull prolificacy.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025
    Article
  4. Article
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

10 authors at 3 institutions in 1 country.

Laercio R Porto-NetoCSIRO Agriculture & Food, St Lucia, QLD, Australia.ORCID 0000-0002-3536-8265
Pamela A AlexandreCSIRO Agriculture & Food, St Lucia, QLD, Australia.ORCID 0000-0002-0649-7033
Nicholas J HudsonSchool of Animal Studies, The University of Queensland, Gatton, QLD, Australia.
John BertramAgriculture Consultant, Livestock Management and Breeding, Toowoomba, QLD, Australia.
Sean M McWilliamCSIRO Agriculture & Food, St Lucia, QLD, Australia.ORCID 0000-0002-3148-0428
Andre W L TanSchool of Chemistry and Molecular Bioscience, The University of Queensland, St Lucia, QLD, Australia.ORCID 0000-0003-0960-9923
Marina R S FortesSchool of Chemistry and Molecular Bioscience, The University of Queensland, St Lucia, QLD, Australia.ORCID 0000-0002-7254-1960
Michael R McGowanSchool of Veterinary Sciences, The University of Queensland, Gatton, QLD, Australia.
Ben J HayesQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia.ORCID 0000-0002-5606-3970
Antonio ReverterCSIRO Agriculture & Food, St Lucia, QLD, Australia.ORCID 0000-0002-4681-9404
The University of Queensland · AUCommonwealth Scientific and Industrial Research Organisation · AUToowoomba Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Worldwide, most beef breeding herds are naturally mated. As such, the ability to identify and select fertile bulls is critically important for both productivity and genetic improvement. Here, we collected ten fertility-related phenotypes for 6,063 bulls from six tropically adapted breeds. Phenotypes were comprised of four bull conformation traits and six traits directly related to the quality of the bull's semen. We also generated high-density DNA genotypes for all the animals. In total, 680,758 single nucleotide polymorphism (SNP) genotypes were analyzed. The genomic correlation of the same trait observed in different breeds was positive for scrotal circumference and sheath score on most breed comparisons, but close to zero for the percentage of normal sperm, suggesting a divergent genetic background for this trait. We confirmed the importance of a breed being present in the reference population to the generation of accurate genomic estimated breeding values (GEBV) in an across-breed validation scenario. Average GEBV accuracies varied from 0.19 to 0.44 when the breed was not included in the reference population. The range improved to 0.28 to 0.59 when the breed was in the reference population. Variants associated with the gene HDAC4, six genes from the spermatogenesis-associated (SPATA) family of proteins, and 29 transcription factors were identified as candidate genes. Collectively these results enable very early in-life selection for bull fertility traits, supporting genetic improvement strategies currently taking place within tropical beef production systems. This study also improves our understanding of the molecular basis of male fertility in mammals.

Indexed as

GenomeSemenAnimalsCattleFertilityGenomicsGenotypeMaleMammalsPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID36701372
PMCPMC9879470
OpenAlexW4318142100

What Socratic 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 Socratic graph.