Evidence map›Paper›PMID 41817728›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2026

Integrating genomic prediction into crop DUS testing: new approaches in support of reference collection management and distinctness assessment.

Adrian M I Roberts, Konrad Neugebauer, Esther Oluwada Ewaoluwagbemiga, Dan Milbourne, Stephen Byrne, James Cockram, Camila M Zanella, Margaret Wallace, Marlene Niedermayer, Lorella Andreani and 3 more

Abstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Adrian M I RobertsBiomathematics and Statistics Scotland (BioSS), Edinburgh, UK. adrian.roberts@bioss.ac.uk.ORCID http://orcid.org/0000-0003-3568-8741
Konrad NeugebauerHumboldt-Universität zu Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-5288-3728
Esther Oluwada EwaoluwagbemigaBiomathematics and Statistics Scotland (BioSS), Edinburgh, UK.ORCID http://orcid.org/0000-0002-9455-8325
Dan MilbourneTeagasc, Carlow, Republic of Ireland.ORCID http://orcid.org/0000-0002-8323-6195
Stephen ByrneTeagasc, Carlow, Republic of Ireland.ORCID http://orcid.org/0000-0002-1179-2272
James CockramNiab, Cambridge, UK.ORCID http://orcid.org/0000-0002-1014-6463
Camila M ZanellaNiab, Cambridge, UK.ORCID http://orcid.org/0000-0002-8391-438X
Margaret WallaceNiab, Cambridge, UK.
Marlene NiedermayerAustrian Agency for Health and Food Safety (AGES), Vienna, Austria.
Lorella AndreaniCouncil for Agricultural Research and Economics - Research Centre for Plant protection and Certification (CREA), Tavazzano, Italy.
Márton PécsNational Food Chain Safety Office (NÉBIH), Budapest, Hungary.ORCID http://orcid.org/0009-0007-5080-9464
Wim W P van der KooijNaktuinbouw, Roelofarendsveen, The Netherlands.
Karl SchmidUniversity of Hohenheim, Stuttgart, Germany.ORCID http://orcid.org/0000-0001-5129-895X

Funding

Horizon 2020 Framework Programme 817970
6 · The paper itself

Abstract

key messageA new approach is proposed for the use of the genetic markers to manage DUS trials, targeted at individual phenotypic characteristics using genomic prediction, as well for supporting Distinctness decisions. High-performing crop varieties underpin food security. Due to the cost of developing varieties, systems have been established to provide breeders with legal protection for their varieties. In many countries, such protection is afforded by the International Union for the Protection of New Varieties of Plants (UPOV) system. New varieties must be phenotypically Distinct from existing varieties using a set of crop-specific characteristics, as well as Uniform and Stable (DUS). For many crops, DUS assessment is costly as candidates must be compared to many existing varieties in field trials, based on numerous DUS characteristics. The use of genetic markers has long been considered as a potential tool for managing costs of such trials, for example, by identifying existing varieties that need not be compared to candidate varieties. Under UPOV guidance, the use of genetic markers must be reflective of phenotypic differences in DUS characteristics. Within this framework, we propose a new approach for using markers based on the application of genomic prediction, which is used to predict variety differences in individual characteristics. The approach is evaluated with perennial ryegrass and wheat, yielding promising results. Additionally, we propose a novel approach in which genomic prediction is used to refine Distinctness decisions after DUS trials have been run by integrating genetic and trial information. Using perennial ryegrass as an example, we demonstrate that this approach, which respects the primacy of phenotype in DUS testing, could be used to support distinctness decisions, especially for cross-pollinated agricultural crops where Distinctness may be harder to achieve.

Indexed as

Crops, AgriculturalGenome, PlantGenomicsPlant BreedingGenetic MarkersGenotypePhenotypeGenetic Markers

Identifiers

PMID41817728
PMCPMC12982246

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.