Improving genomic selection in hexaploid wheat with sub-genome additive and epistatic models

cg.contributor.affiliationKansas State University
cg.contributor.affiliationInternational Maize and Wheat Improvement Center
cg.contributor.affiliationUniversity of Nebraska-Lincoln
cg.contributor.affiliationColorado State University
cg.contributor.donorKansas Wheat Alliance, Inc.
cg.contributor.donorKansas Wheat Commission
cg.contributor.programAcceleratorBreeding for Tomorrow
cg.creator.identifierDavid Omar González-Diéguez: 0000-0002-8637-1835
cg.creator.identifierJose Crossa: 0000-0001-9429-5855
cg.creator.identifierGeoffrey Preston Morris: 0000-0002-3067-3359
cg.creator.identifierAlan Fritz: 0000-0002-3990-5208
cg.howPublishedFormally Published
cg.identifier.dataurlhttps://www.ncbi.nlm.nih.gov/bioproject/PRJNA1221944/
cg.identifier.doihttps://doi.org/10.1093/g3journal/jkaf031
cg.isijournalISI Journal
cg.issn2160-1836
cg.issue4
cg.journalG3: Genes, Genomes, Genetics
cg.reviewStatusPeer Review
cg.volume15
dc.contributor.authorTessele, Augusto
dc.contributor.authorGonzález-Diéguez, David
dc.contributor.authorCrossa, Jose
dc.contributor.authorJohnson, Blaine E.
dc.contributor.authorMorris, Geoffrey
dc.contributor.authorFritz, Alan
dc.date.accessioned2025-12-23T21:00:59Z
dc.date.available2025-12-23T21:00:59Z
dc.identifier.urihttps://hdl.handle.net/10568/179269
dc.titleImproving genomic selection in hexaploid wheat with sub-genome additive and epistatic models
dcterms.abstractThe goal of wheat breeding is the development of superior cultivars tailored to specific environments, and the identification of promising crosses is crucial for the success of breeding programs. Although genomic estimated breeding values were developed to estimate additive effects of genotypes before testing as parents, application has focused on predicting performance of candidate lines, ignoring non-additive genetic effects. However, non-additive genetic effects are hypothesized to be especially important in allopolyploid species due to the interaction between homeologous genes. The objectives of this study were to model additive and additive-by-additive epistatic effects to better delineate the genetic architecture of grain yield in wheat and to improve the accuracy of genomewide predictions. The dataset utilized consisted of 3740 F5:6 experimental lines tested in the K-State wheat breeding program across the years 2016 and 2018. Covariance matrices were calculated based on whole and sub-genome marker data and the natural and orthogonal interaction approach (NOIA) was used to estimate variance components for additive and additive-by-additive epistatic effects. Incorporating epistatic effects in additive models resulted in non-orthogonal partitioning of genetic effects but increased total genetic variance and reduced deviance information criteria. Estimation of sub-genome effects indicated that genotypes with the greatest whole genome effects often combine sub-genomes with intermediate to high effects, suggesting potential for crossing parental lines which have complementary sub-genome effects. Modeling epistasis in either whole-genome or sub-genome models led to a marginal (3%) improvement in genomic prediction accuracy, which could result in significant genetic gains across multiple cycles of breeding.en
dcterms.accessRightsOpen Access
dcterms.available2025-02-15
dcterms.bibliographicCitationTessele, A., González-Diéguez, D. O., Crossa, J., Johnson, B. E., Morris, G. P., & Fritz, A. K. (2025). Improving genomic selection in hexaploid wheat with sub-genome additive and epistatic models. G3: Genes, Genomes, Genetics, 15(4), jkaf031. https://doi.org/10.1093/g3journal/jkaf031
dcterms.hasVersionhttps://hdl.handle.net/10883/35532
dcterms.issued2025-04
dcterms.languageen
dcterms.publisherOxford University Press
dcterms.subjectadditives
dcterms.subjectgenomes
dcterms.subjecthexaploidy
dcterms.subjectwheat
dcterms.subjectbreeding
dcterms.typeJournal Article

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