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Improved breeding for Fusarium pseudograminarium (Fusarium crown rot) using qPCR measurement of infection in multi-species winter cereal experiments

bioRxiv · 17 Oct 2022 · 10.1101/2022.10.12.512005

Abstract

Fusarium crown rot (FCR) causes significant grain yield loss in winter cereals around the world. Breeding for resistance and/or tolerance to FCR has been slow with relatively limited success. In this study, multi-species experiments were used to demonstrate an improved method to quantify FCR infection levels at plant maturity using qPCR, as well as the genotype yield retention using residual regression deviation. Using qPCR to measure FCR infection allowed a higher degree of resolution between genotypes than traditional visual stem basal browning assessments. The results were consistent across three environments with different levels of disease expression. The improved measure of FCR infection along with genotype yield retention allows for partitioning of both tolerance and partial resistance. Together these methods offer new insights to FCR partial resistance and its relative importance to tolerance in bread wheat and barley. This new approach offers a more robust, cost-effective way to select for both FCR traits within breeding programs. Key messageGenetic gain for tolerance and partial resistance against Fusarium crown rot (FCR) in winter cereals has been impeded by laborious and variable visual measures of infection severity. This paper presents results of an improved method to quantify FCR infection that are strongly correlated to yield loss and reveal previously unrecognised partial resistance in barley and wheat varieties.

Plant phenotyping relevance

qPCRによる植物体のFusarium冠腐病感染レベル定量法の改良・検証が中心であり、品種間の感染程度と抵抗性・耐性を評価する植物フェノタイピング手法に該当する。

abstractdemonstrate an improved method to quantify FCR infection levels at plant maturity using qPCR
abstractUsing qPCR to measure FCR infection allowed a higher degree of resolution between genotypes than traditional visual stem basal browning assessments.
abstractThis paper presents results of an improved method to quantify FCR infection

Code and data availability

The paper's qPCR disease severity and yield phenotype data and analysis are not publicly deposited; the authors state all data, models, and code are available from the corresponding author by request. No public URL or repository is provided.

No evidence-backed public reproduction asset is currently recorded.

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