Maintenance of UK bread baking quality: Trends in wheat quality traits over 50 years of breeding and potential for future application of genomic-assisted selection

dc.creatorFradgley, N.
dc.creatorBentley, A.R.
dc.creatorGardner, K.A.
dc.creatorSwarbreck, S.M.
dc.creatorKerton, M.
dc.date2023-05-08T20:20:11Z
dc.date2023-05-08T20:20:11Z
dc.date2023
dc.date.accessioned2023-07-17T20:10:35Z
dc.date.available2023-07-17T20:10:35Z
dc.identifierhttps://hdl.handle.net/10883/22600
dc.identifier10.1002/tpg2.20326
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7514343
dc.descriptionImproved selection of wheat varieties with high end-use quality contributes to sustainable food systems by ensuring productive crops are suitable for human consumption end-uses. Here, we investigated the genetic control and genomic prediction of milling and baking quality traits in a panel of 379 historic and elite, high-quality UK bread wheat (Triticum eastivum L.) varieties and breeding lines. Analysis of the panel showed that genetic diversity has not declined over recent decades of selective breeding while phenotypic analysis found a clear trend of increased loaf baking quality of modern milling wheats despite declining grain protein content. Genome-wide association analysis identified 24 quantitative trait loci (QTL) across all quality traits, many of which had pleiotropic effects. Changes in the frequency of positive alleles of QTL over recent decades reflected trends in trait variation and reveal where progress has historically been made for improved baking quality traits. It also demonstrates opportunities for marker-assisted selection for traits such as Hagberg falling number and specific weight that do not appear to have been improved by recent decades of phenotypic selection. We demonstrate that applying genomic prediction in a commercial wheat breeding program for expensive late-stage loaf baking quality traits outperforms phenotypic selection based on early-stage predictive quality traits. Finally, trait-assisted genomic prediction combining both phenotypic and genomic selection enabled slightly higher prediction accuracy, but genomic prediction alone was the most cost-effective selection strategy considering genotyping and phenotyping costs per sample.
dc.languageEnglish
dc.publisherWiley
dc.relationhttps://acsess.onlinelibrary.wiley.com/doi/10.1002/tpg2.20326#support-information-section
dc.relationNutrition, health & food security
dc.relationAccelerated Breeding
dc.relationGenetic Innovation
dc.relationBiotechnology and Biological Sciences Research Council
dc.relationOneCGIAR Accelerated Breeding Initiative
dc.relationhttps://hdl.handle.net/10568/130290
dc.rightsCIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
dc.rightsOpen Access
dc.source20326
dc.source1940-3372
dc.sourcePlant Genome
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectSustainable Food Systems
dc.subjectGenomic Prediction
dc.subjectGenome-Wide Association Analysis
dc.subjectWHEAT
dc.subjectBREEDING
dc.subjectMARKER-ASSISTED SELECTION
dc.subjectVARIETIES
dc.subjectFOOD SYSTEMS
dc.subjectQUALITY
dc.subjectWheat
dc.titleMaintenance of UK bread baking quality: Trends in wheat quality traits over 50 years of breeding and potential for future application of genomic-assisted selection
dc.typeArticle
dc.typePublished Version
dc.coverageUnited Kingdom of Great Britain and Northern Ireland
dc.coverageUSA


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