Evidence map›Paper›PMID 37894009›Full record

ReviewAnimals : an open access journal from MDPI2023

Harnessing Genomics and Transcriptomics Approaches to Improve Female Fertility in Beef Cattle-A Review.

Nicholas C Kertz, Priyanka Banerjee, Paul W Dyce, Wellison J S Diniz

Open access · goldAbstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Current Applications and Future Prospects of High-ThroughputAnimals : an open access journal from MDPI · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Application of Omics in Donkey Meat Research: A Review.Animals : an open access journal from MDPI · 2025
    Review
  8. Review
  9. Article
  10. Article
  11. 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

4 authors at 1 institution in 1 country.

Nicholas C KertzDepartment of Animal Sciences, Auburn University, Auburn, AL 36849, USA.ORCID 0009-0004-9248-0714
Priyanka BanerjeeDepartment of Animal Sciences, Auburn University, Auburn, AL 36849, USA.ORCID 0000-0001-5054-3095
Paul W DyceDepartment of Animal Sciences, Auburn University, Auburn, AL 36849, USA.ORCID 0000-0002-4574-3321
Wellison J S DinizDepartment of Animal Sciences, Auburn University, Auburn, AL 36849, USA.ORCID 0000-0003-1082-5535
Auburn University · US

Funding

Agricultural Research Service, U.S. Department of Agriculture 58-6010-1-005Alabama Agricultural Experiment Station-Hatch program of the National Institute of Food and Agriculture, U.S. Department of Agriculture
6 · The paper itself

Abstract

Female fertility is the foundation of the cow-calf industry, impacting both efficiency and profitability. Reproductive failure is the primary reason why beef cows are sold in the U.S. and the cause of an estimated annual gross loss of USD 2.8 billion. In this review, we discuss the status of the genomics, transcriptomics, and systems genomics approaches currently applied to female fertility and the tools available to cow-calf producers to maximize genetic progress. We highlight the opportunities and limitations associated with using genomic and transcriptomic approaches to discover genes and regulatory mechanisms related to beef fertility. Considering the complex nature of fertility, significant advances in precision breeding will rely on holistic, multidisciplinary approaches to further advance our ability to understand, predict, and improve reproductive performance. While these technologies have advanced our knowledge, the next step is to translate research findings from bench to on-farm applications.

Indexed as

beef heifer selectionfertilitygenomicssystems genomicstranscriptomics

Identifiers

PMID37894009
PMCPMC10603720
OpenAlexW4387841494

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.