open access publication

Article, 2024

Scald resistance in hybrid rye (Secale cereale): genomic prediction and GWAS

Frontiers in Plant Science, ISSN 1664-462X, Volume 15, Page 1306591, 10.3389/fpls.2024.1306591

Contributors

Madsen, Mette Dam 0000-0003-4997-6779 [1] Kristensen, Peter Skov 0000-0001-6110-301X [1] Mahmood, Khalid 0000-0001-8607-4518 [2] Thach, Tine 0000-0001-8853-694X [1] Mohlfeld, Marius [3] Orabi, Jih Ad 0000-0001-9641-6657 [2] Sarup, Pernille Merete 0000-0002-5838-1251 [2] Jahoor, Ahm Ed [2] Hovmøller, Mogens Støvring 0000-0002-4432-8898 [1] Rodriguez-Algaba, Julian 0000-0002-4960-7562 [1] Jensen, Just 0000-0003-3291-8468 (Corresponding author) [1]

Affiliations

  1. [1] Aarhus University
  2. [NORA names: AU Aarhus University; University; Denmark; Europe, EU; Nordic; OECD];
  3. [2] Nordic Seed (Denmark)
  4. [NORA names: Other Companies; Private Research; Denmark; Europe, EU; Nordic; OECD];
  5. [3] Department of Breeding, Nordic Seed A/S, Nienstädt, Germany
  6. [NORA names: Germany; Europe, EU; OECD]

Abstract

Rye (Secale cereale L.) is an important cereal crop used for food, beverages, and feed, especially in North-Eastern Europe. While rye is generally more tolerant to biotic and abiotic stresses than other cereals, it still can be infected by several diseases, including scald caused by Rhynchosporium secalis. The aims of this study were to investigate the genetic architecture of scald resistance, to identify genetic markers associated with scald resistance, which could be used in breeding of hybrid rye and to develop a model for genomic prediction for scald resistance. Four datasets with records of scald resistance on a population of 251 hybrid winter rye lines grown in 2 years and at 3 locations were used for this study. Four genomic models were used to obtain variance components and heritabilities of scald resistance. All genomic models included additive genetic effects of the parental components of the hybrids and three of the models included additive-by-additive epistasis and/or dominance effects. All models showed moderate to high broad sense heritabilities in the range of 0.31 (SE 0.05) to 0.76 (0.02). The model without non-additive genetic effects and the model with dominance effects had moderate narrow sense heritabilities ranging from 0.24 (0.06) to 0.55 (0.08). None of the models detected significant non-additive genomic variances, likely due to a limited data size. A genome wide association study was conducted to identify markers associated with scald resistance in hybrid winter rye. In three datasets, the study identified a total of twelve markers as being significantly associated with scald resistance. Only one marker was associated with a major quantitative trait locus (QTL) influencing scald resistance. This marker explained 11-12% of the phenotypic variance in two locations. Evidence of genotype-by-environment interactions was found for scald resistance between one location and the other two locations, which suggested that scald resistance was influenced by different QTLs in different environments. Based on the results of the genomic prediction models and GWAS, scald resistance seems to be a quantitative trait controlled by many minor QTL and one major QTL, and to be influenced by genotype-by-environment interactions.

Keywords

Europe, GWAS, Minor quantitative trait loci, North-Eastern, Secale, Secale cereale, abiotic stresses, additive-by-additive epistasis, association studies, beverages, breeding, broad-sense heritabilities, cereal crops, cereals, components, crop, data, data size, dataset, disease, dominance, dominant effect, effect, environment, epistasis, evidence, evidence of genotype-by-environment interaction, feeding, food, genetic architecture, genetic effects, genome, genome wide association studies, genomic model, genomic prediction, genomic prediction models, genomic variance, genotype-by-environment interactions, heritabilities, hybrid, hybrid rye, interaction, lines, location, loci, markers, model, narrow-sense heritabilities, non-additive genetic effects, north-eastern Europe, parent components, phenotypic variance, population, prediction, prediction model, quantitative trait loci, quantitative traits, range, records, resistance, results, rye, rye lines, scald, scald resistance, size, stress, study, trait loci, traits, variance, variance components, winter rye, years

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