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

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. 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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Publication Details

Journal
Theoretical and Applied Genetics
Published
2026-03-12
DOI
https://doi.org/10.1007/s00122-026-05198-6
Primary Topic
Genetic diversity and population structure
Type
article
Field-Weighted Citation Impact
0.00

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article

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

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Theoretical and Applied Genetics
Genetic diversity and population structure
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Integrating genomic prediction into crop DUS testing: new approaches in support of reference collection management and distinctness assessment

Lorella Andreani, Dan Milbourne, Stephen Byrne, Konrad Neugebauer, Karl Schmid, Camila Martini Zanella, Esther Oluwada Ewaoluwagbemiga, Marlene Niedermayer, James Cockram, Wim W. P. van der Kooij, Adrian M. I. Roberts, Margaret Wallace, Márton Pécs
article en

Abstract

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. 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.

Theoretical and Applied GeneticsVol. 139(4)
University of Hohenheim (DE), Teagasc - The Irish Agriculture and Food Development Authority (IE), National Institute of Agricultural Botany (GB), National Food Chain Safety Office (HU), Humboldt-Universität zu Berlin (DE), Cereal Research Centre (IT), Biomathematics and Statistics Scotland (GB), Austrian Agency for Health and Food Safety (AT), University of Edinburgh (GB)
Rural and Environment Science and Analytical Services Division, European Commission
Openalex Percentile: Top 26%
Genetic diversity and population structure
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