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March 14, 2026Theoretical and Applied Genetics1 citationsOpen Access

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

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ARAdrian M. I. RobertsKNKonrad NeugebauerEEEsther Oluwada Ewaoluwagbemiga

Key Points

  • The research aims to improve distinctness assessment in crop varieties using genomic prediction and genetic markers.
  • Applied genomic prediction to assess DUS traits in crops
  • Evaluated methods with perennial ryegrass and wheat
  • Proposed a novel integration of genetic and trial data for Distinctness decisions
  • Demonstrated reduced costs in DUS trials through genomic prediction
  • Showed potential for enhancing Distinctness assessment in crops like wheat
  • Legal protection for new varieties may be strengthened via integrated approaches

Abstract

Key message A 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. Abstract 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.

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Cite This Study

Roberts et al. (2026) studied this question.

synapsesocial.com/papers/69b4ad7918185d8a39800cachttps://doi.org/10.1007/s00122-026-05198-6
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