Evidence map›Paper›PMID 23232576›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2013

Evaluation of the use of high-density SNP genotyping to implement UPOV Model 2 for DUS testing in barley.

Huw Jones, Carol Norris, David Smith, James Cockram, David Lee, Donal M O'Sullivan, Ian Mackay

Abstract readEvaluation Study
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In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  11. Review
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  15. Insights into deployment of DNA markers in plant variety protection and registration.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Review
  16. Implications of using genomic prediction within a high-density SNP dataset to predict DUS traits in barley.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2015
    Article
  17. 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

7 authors.

Huw JonesNIAB, Huntingdon Road, Cambridge, CB3 0LE, UK. huw.jones@niab.com
Carol Norris
David Smith
James Cockram
David Lee
Donal M O'Sullivan
Ian Mackay

Funding

Biotechnology and Biological Sciences Research Council 302/BB/D522003/1Biotechnology and Biological Sciences Research Council BB/D524075/1
6 · The paper itself

Abstract

Developments in high-throughput genotyping provide an opportunity to explore the application of marker technology in distinctness, uniformity and stability (DUS) testing of new varieties. We have used a large set of molecular markers to assess the feasibility of a UPOV Model 2 approach: "Calibration of threshold levels for molecular characteristics against the minimum distance in traditional characteristics". We have examined 431 winter and spring barley varieties, with data from UK DUS trials comprising 28 characteristics, together with genotype data from 3072 SNP markers. Inter varietal distances were calculated and we found higher correlations between molecular and morphological distances than have been previously reported. When varieties were grouped by kinship, phenotypic and genotypic distances of these groups correlated well. We estimated the minimum marker numbers required and showed there was a ceiling after which the correlations do not improve. To investigate the possibility of breaking through this ceiling, we attempted genomic prediction of phenotypes from genotypes and higher correlations were achieved. We tested distinctness decisions made using either morphological or genotypic distances and found poor correspondence between each method.

Indexed as

PhenotypeCluster AnalysisGenetic Association StudiesGenetic MarkersGenotyping TechniquesHordeumMultivariate AnalysisPolymorphism, Single NucleotideSpecies SpecificityUnited KingdomGenetic Markers

Identifiers

What OpenQuestion holds

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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.