ReviewTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2016
Prediction of malting quality traits in barley based on genome-wide marker data to assess the potential of genomic selection.
Review in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Multi-locus genome-wide association mapping reveals loci underlying malt quality traits in heterogeneous Ethiopian Barley (Hordeum vulgare L.) germplasm.Scientific reports · 2026Article
- Integration and imputation of GBS-derived and DArTseq-derived SNP markers in assessing genetic diversity of bread wheat genotypes.BMC genomics · 2026Article
- Genome-wide association study of pre-indicative agronomic traits affecting malt quality in Ethiopian barley (Hordeum vulgare L.) germplasm.BMC genomics · 2026Article
- Crop phenotype prediction using SNP context and whole-genome feature embedding based on DNABERT-2.Plant methods · 2026Article
- Genomic selection: Essence, applications, and prospects.The plant genome · 2025Review
- Genomic Prediction for Germplasm Improvement Through Inter-Heterotic-Group Line Crossing in Maize.International journal of molecular sciences · 2025Article
- WheatGP, a genomic prediction method based on CNN and LSTM.Briefings in bioinformatics · 2025Article
- Using genotype imputation to integrate Canola populations for genome-wide association and genomic prediction of blackleg resistance.BMC genomics · 2025Article
- Genomic prediction for root and yield traits of barley under a water availability gradient: a case study comparing different spatial adjustments.Plant methods · 2024Article
- Improvement of crop production in controlled environment agriculture through breeding.Frontiers in plant science · 2024Review
- Integrating genome-wide association study into genomic selection for the prediction of agronomic traits in rice (Molecular breeding : new strategies in plant improvement · 2023Article
- The Potential of Genome-Wide Prediction to Support Parental Selection, Evaluated with Data from a Commercial Barley Breeding Program.Plants (Basel, Switzerland) · 2022Article
- Integration of DNA Methylation and Transcriptome Data Improves Complex Trait Prediction inPlants (Basel, Switzerland) · 2022Article
- Genomic Selection: A Tool for Accelerating the Efficiency of Molecular Breeding for Development of Climate-Resilient Crops.Frontiers in genetics · 2022Review
- Accuracy of genomic selection for alfalfa biomass yield in two full-sib populations.Frontiers in plant science · 2022Article
- Training set design in genomic prediction with multiple biparental families.The plant genome · 2021Article
- Article
- Comparative de novo transcriptome analysis of barley varieties with different malting qualities.Functional & integrative genomics · 2020Article
- Association mapping of malting quality traits in UK spring and winter barley cultivar collections.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Article
- Multi-trait Genomic Prediction Model Increased the Predictive Ability for Agronomic and Malting Quality Traits in Barley (G3 (Bethesda, Md.) · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
key messageGenomic prediction of malting quality traits in barley shows the potential of applying genomic selection to improve selection for malting quality and speed up the breeding process. ABSTRACT: Genomic selection has been applied to various plant species, mostly for yield or yield-related traits such as grain dry matter yield or thousand kernel weight, and improvement of resistances against diseases. Quality traits have not been the main scope of analysis for genomic selection, but have rather been addressed by marker-assisted selection. In this study, the potential to apply genomic selection to twelve malting quality traits in two commercial breeding programs of spring and winter barley (Hordeum vulgare L.) was assessed. Phenotypic means were calculated combining multilocational field trial data from 3 or 4 years, depending on the trait investigated. Three to five locations were available in each of these years. Heritabilities for malting traits ranged between 0.50 and 0.98. Predictive abilities (PA), as derived from cross validation, ranged between 0.14 to 0.58 for spring barley and 0.40-0.80 for winter barley. Small training sets were shown to be sufficient to obtain useful PAs, possibly due to the narrow genetic base in this breeding material. Deployment of genomic selection in malting barley breeding clearly has the potential to reduce cost intensive phenotyping for quality traits, increase selection intensity and to shorten breeding cycles.
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