Evidence map›Paper›PMID 29970398›Full record

ArticleG3 (Bethesda, Md.)2018

Optimising Genomic Selection in Wheat: Effect of Marker Density, Population Size and Population Structure on Prediction Accuracy.

Adam Norman, Julian Taylor, James Edwards, Haydn Kuchel

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
115citing papers in PubMed, 1 pooled it
12.7field-weighted citation impact, top 1% 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

115 citing papers in PubMed, 1 synthesis or guideline pooled it, 198 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Genomic prediction vs. gene-based crop models: a case study on rice trait prediction.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  6. Improving hybrid breeding efficiency in winter oilseed rape under sparse multi-environment testing.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  7. Article
  8. Article
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  10. Article
  11. Article
  12. Article
  13. Review
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  16. Integrating genomic predictions into an applied Central European wheat breeding program.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

55 more citing papers are in PubMed but not listed here.

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.

Adam NormanSchool of Agriculture, Food & Wine, University of Adelaide adam.norman@adelaide.edu.au.ORCID 0000-0002-0794-4907
Julian TaylorSchool of Agriculture, Food & Wine, University of Adelaide.
James EdwardsSchool of Agriculture, Food & Wine, University of Adelaide.
Haydn KuchelSchool of Agriculture, Food & Wine, University of Adelaide.
University of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic selection applied to plant breeding enables earlier estimates of a line's performance and significant reductions in generation interval. Several factors affecting prediction accuracy should be well understood if breeders are to harness genomic selection to its full potential. We used a panel of 10,375 bread wheat (

Indexed as

GenotypePolymorphism, Single NucleotideSelection, GeneticGenetic MarkersTriticumGenetic MarkersGenomic predictionGenomic SelectionGenPredShared Data ResourcesTraining set designWheat breeding Marker density

Identifiers

PMID29970398
PMCPMC6118301
OpenAlexW2810853310

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.