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Fusarium crown rot (FCR) is one of the most damaging cereal diseases in semi-arid regions worldwide. Genetic studies on FCR resistance have mainly focused on disease symptoms measured by the browning of either leaf sheaths in seedlings or stems of mature plants. Two major QTLs conferring FCR resistance in barley, Qcsr.cpi-1H and Qcrs.cpi-4H, were previously identified in the growth room. They could explain up to 33.4 and 45.3% of phenotypic variance, respectively. This is the first study where the possible effects of FCR-resistant loci identified in the previous studies based on seedling assay are tested for their abilities to reduce grain yield loss. Near isogenic lines (NILs) and backcross (BC) lines targeting these two loci were assessed in the 2017 and 2018 crop seasons. Results from the NILs showed that the presence of a resistance allele at either the 1HL or 4HL locus reduced grain yield loss by an average of 12.0% and 10.7%, respectively. Grain yields of the top BC lines containing resistance alleles at both loci were 34.4% higher than the average of the commercial varieties under FCR inoculation. These lines will be highly valuable in breeding barley varieties with enhanced resistance to FCR. [ABSTRACT FROM AUTHOR]

Achieving genetic gain when selecting for genotypes with favourable grain production traits in the presence of the fungal pathogen Fusarium pseudograminearum can involve potentially competitive objectives of breeding for tolerance and breeding for resistance. A method for the selection of genotypes for both tolerance and resistance to crown rot in wheat, caused by this fungal pathogen, is presented through a combined analysis of grain yield and symptoms of disease severity across inoculated and uninoculated treatments. The symptoms of disease severity are measured as basal stem browning in the plant, and this trait provides a measure of resistance in this study. The measurement of grain yield in uninoculated and inoculated treatments provides a measure of yield potential and yield in the presence of disease, respectively. Interpretation of analysis results through the regression inherent in the statistical model allows us to derive and select for three traits of interest. Firstly, yield retention can be derived from a random regression of yield of genotypes in inoculated versus uninoculated treatments, independently of yield potential in that environment. Secondly, severity of disease symptoms in inoculated treatments can be used to select genotypes with superior resistance. Finally, a tolerance measure can be derived from the yield retention, when it is assessed independently of the disease severity measured as stem browning. In theory, this method is superior to traditional approaches of forming a yield difference or a percentage yield loss calculation. In practice, genetic gain can be made for tolerance through accurate phenotyping of the trait, independently of resistance in that environment. [ABSTRACT FROM AUTHOR]