ArticleBMC plant biology2025
Identification of QTLs associated with grain yield-related traits of spring barley.
Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Glutamine synthetase GLN1;5 and ACT domain repeat ACR1 functionally interact at the seed level in Arabidopsis thaliana.Protoplasma · 2026Article
- Evolution of agricultural biotechnology is the paradigm shift in crop resilience and development: a review.Frontiers in plant science · 2025Review
- Dissecting adult plant resistance to stem rust through multi-model GWAS in a diverse barley germplasm panel.Frontiers in plant science · 2025Article
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Authors and funding
3 authors.
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Abstract
backgroundNumerous quantitative trait loci (QTLs) and candidate genes associated with yield-related traits have been identified in barley by genome-wide association study (GWAS) analysis. However, genetic bottlenecks in elite cultivars have reduced diversity, limiting further yield improvements. Grain yield is a complex, polygenic trait shaped by genetic and environmental factors, necessitating integrative breeding approaches. While genomic selection, marker-assisted selection, and GWAS have identified key loci for yield-related traits, functional validation remains a significant challenge.
resultsA total of 346 QTLs for seven barley yield-related traits were identified in GWAS, including 93 stable QTLs across multiple environments. Two major-effect QTLs for spike length and thousand kernel weight, along with several moderate-effect QTLs, show potential for breeding. Candidate gene analysis revealed 134 highly expressed genes linked to stress response, transport, and metabolism. Notable genes include HORVU.MOREX.r3.5HG0514790 (growth and stress adaptation) and HORVU.MOREX.r3.2HG0212810 (seed storage protein). A total of eight presumably novel QTLs were identified. One of the novel QTLs, Hv_TKW_3H.5, had the strongest effect on total barley grain yield. The integration of favorable alleles from eight moderate- and major-effect QTLs significantly influenced the weight of kernels per spike.
conclusionsThis study aimed to identify and characterize QTLs associated with barley yield-related traits through GWAS. Integrating genomic and transcriptomic methods suggests a promising strategy for genomic selection and marker-assisted breeding to enhance barley grain yield.
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