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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)901-911
Number of pages11
JournalTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik
Volume126
Issue number4
Early online date12 Dec 2012
DOIs
Publication statusPrint publication - Apr 2013
Externally publishedYes

Keywords

  • Cluster Analysis
  • Genetic Association Studies/methods
  • Genetic Markers/genetics
  • Genotyping Techniques/methods
  • Hordeum/genetics
  • Multivariate Analysis
  • Phenotype
  • Polymorphism, Single Nucleotide/genetics
  • Species Specificity
  • United Kingdom

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