title: Prediction of malting quality traits in barley based on genome-wide marker data to assess the potential of genomic selection.
abstract: CONCLUSIONS
  Genomic 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.
  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.
authors.affiliation: KWS LOCHOW GMBH, Ferdinand-von-Lochow-Straße 5, 29303, Bergen, Germany.
authors.forename: Malthe
authors.initials: M
authors.lastname: Schmidt
authors.affiliation: KWS LOCHOW GMBH, Ferdinand-von-Lochow-Straße 5, 29303, Bergen, Germany.
authors.forename: Sonja
authors.initials: S
authors.lastname: Kollers
authors.affiliation: KWS LOCHOW GMBH, Ferdinand-von-Lochow-Straße 5, 29303, Bergen, Germany.
authors.forename: Anja
authors.initials: A
authors.lastname: Maasberg-Prelle
authors.affiliation: KWS LOCHOW GMBH, Ferdinand-von-Lochow-Straße 5, 29303, Bergen, Germany.
authors.forename: Jörg
authors.initials: J
authors.lastname: Großer
authors.affiliation: KWS LOCHOW GMBH, Ferdinand-von-Lochow-Straße 5, 29303, Bergen, Germany.
authors.forename: Burkhard
authors.initials: B
authors.lastname: Schinkel
authors.affiliation: KWS LOCHOW GMBH, Ferdinand-von-Lochow-Straße 5, 29303, Bergen, Germany.|AIB Dr. Alexandra Tomerius, Saffeweg 32, 38304, Wolfenbüttel, Germany.
authors.forename: Alexandra
authors.initials: A
authors.lastname: Tomerius
authors.affiliation: Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, 06466, Stadt Seeland, Germany.
authors.forename: Andreas
authors.initials: A
authors.lastname: Graner
authors.affiliation: KWS LOCHOW GMBH, Ferdinand-von-Lochow-Straße 5, 29303, Bergen, Germany. viktor.korzun@kws.com.
authors.forename: Viktor
authors.initials: V
authors.lastname: Korzun
mesh_terms: D001947:Breeding; D002874:Chromosome Mapping; D002523:Edible Grain / Q000235:genetics; D005819:Genetic Markers; D005838:Genotype; D001467:Hordeum / Q000235:genetics*; D015810:Linkage Disequilibrium; D008957:Models, Genetic; D010641:Phenotype; D019655:Quantitative Trait, Heritable
chemical_list: D005819:Genetic Markers