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Open AccessArticle

Genome-wide Association Study and Genomic Prediction for Fusarium graminearum Resistance Traits in Nordic Oat (Avena sativa L.)

1
University of Helsinki, FI-00100 Helsinki, Finland
2
Boreal Plant Breeding Ltd., FI-31600 Jokioinen, Finland
3
Natural Resources Institute Finland (Luke), FI-31600 Jokioinen, Finland
*
Author to whom correspondence should be addressed.
Agronomy 2020, 10(2), 174; https://doi.org/10.3390/agronomy10020174
Received: 21 December 2019 / Revised: 16 January 2020 / Accepted: 20 January 2020 / Published: 25 January 2020
(This article belongs to the Special Issue Breeding Healthy Cereals: Genetic Improvement of Fusarium Resistance)
Fusarium head blight (FHB) and the accumulation of deoxynivalenol (DON) mycotoxin induced by Fusarium graminearum and other Fusarium fungi cause serious problems for oat production in the Nordic region (Scandinavia, Fennoscandia). Besides toxin accumulation, FHB causes reduction in grain yield and in germination capacity. Here, genomic approaches for accelerating breeding efforts against FHB and DON accumulation were studied. Resistance-related traits included DON content, F. graminearum DNA (relative to oat DNA) content (qFUSG) measured with real-time quantitative polymerase chain reaction (PCR), Fusarium-infected kernels (FIKs) and germination capacity (GC). Plant germplasm used in the study consisted of mostly breeding lines, and additionally, a few cultivars and exotic accessions. Genome-wide association study (GWAS) and genomic prediction, enabling genomic selection (GS) on the resistance-related and collected agronomic traits, were performed. Considerable genetic correlations between resistance-related traits were observed: DON content had a positive correlation (0.60) with qFUSG and a negative correlation (−0.63) with germination capacity. With the material in hand, we were not able to find any significant associations between markers and resistance-related traits. On the other hand, in genomic prediction, some resistance-related traits showed favorable accuracy in fivefold cross-validation (GC = 0.57). Genomic prediction is a promising method and genomic estimated breeding values (GEBVs) generated for germination capacity are applicable in oat breeding programs. View Full-Text
Keywords: Fusarium head blight (FHB); deoxynivalenol (DON); real-time quantitative PCR (qPCR); germination capacity (GC); Fusarium-infected kernels (FIKs); breeding for resistance; oats Fusarium head blight (FHB); deoxynivalenol (DON); real-time quantitative PCR (qPCR); germination capacity (GC); Fusarium-infected kernels (FIKs); breeding for resistance; oats
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Haikka, H.; Manninen, O.; Hautsalo, J.; Pietilä, L.; Jalli, M.; Veteläinen, M. Genome-wide Association Study and Genomic Prediction for Fusarium graminearum Resistance Traits in Nordic Oat (Avena sativa L.). Agronomy 2020, 10, 174.

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