Genomic assisted selection for enhancing line breeding: merging genomic and phenotypic selection in winter wheat breeding programs with preliminary yield trials

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dc.contributor.authorMichel, Sebastian
dc.contributor.authorAmetz, Christian
dc.contributor.authorGüngör, Hüseyin
dc.contributor.authorAkgöl, Batuhan
dc.contributor.authorEpure, Doru
dc.contributor.authorGrausgruber, Heinrich
dc.contributor.authorBuerstmayr, Hermann
dc.date.accessioned2020-05-01T12:10:14Z
dc.date.available2020-05-01T12:10:14Z
dc.date.issued2017
dc.departmentDÜ, Ziraat Fakültesi, Tarla Bitkileri Bölümüen_US
dc.descriptionGrausgruber, Heinrich/0000-0003-4790-0922; Gungor, Huseyin/0000-0001-6708-6337; Epure, Doru-Gabriel/0000-0002-6209-2794; Buerstmayr, Hermann/0000-0002-0748-2351; Michel, Sebastian/0000-0001-6636-2694en_US
dc.descriptionWOS: 000393965900009en_US
dc.descriptionPubMed: 27826661en_US
dc.description.abstractEarly generation genomic selection is superior to conventional phenotypic selection in line breeding and can be strongly improved by including additional information from preliminary yield trials. The selection of lines that enter resource-demanding multi-environment trials is a crucial decision in every line breeding program as a large amount of resources are allocated for thoroughly testing these potential varietal candidates. We compared conventional phenotypic selection with various genomic selection approaches across multiple years as well as the merit of integrating phenotypic information from preliminary yield trials into the genomic selection framework. The prediction accuracy using only phenotypic data was rather low (r = 0.21) for grain yield but could be improved by modeling genetic relationships in unreplicated preliminary yield trials (r = 0.33). Genomic selection models were nevertheless found to be superior to conventional phenotypic selection for predicting grain yield performance of lines across years (r = 0.39). We subsequently simplified the problem of predicting untested lines in untested years to predicting tested lines in untested years by combining breeding values from preliminary yield trials and predictions from genomic selection models by a heritability index. This genomic assisted selection led to a 20% increase in prediction accuracy, which could be further enhanced by an appropriate marker selection for both grain yield (r = 0.48) and protein content (r = 0.63). The easy to implement and robust genomic assisted selection gave thus a higher prediction accuracy than either conventional phenotypic or genomic selection alone. The proposed method took the complex inheritance of both low and high heritable traits into account and appears capable to support breeders in their selection decisions to develop enhanced varieties more efficiently.en_US
dc.description.sponsorshipUniversity of Vienna; EUEuropean Union (EU)en_US
dc.description.sponsorshipOpen access funding provided by University of Vienna. We like to thank Maria Burstmayr and her team for the tremendous work when extracting the DNA of several hundred wheat lines each year as well as Herbert Hetzendorfer for managing the collection of the phenotypic data. This research was funded by the EU Eurostars projects "E! 6399 Genomic selection of wheat varieties for robustness, yield and quality" and "E! 8959 Genomic selection for nitrogen use efficiency in wheat". We thank the anonymous reviewers for their valuable comments and suggestions for improving the manuscript.en_US
dc.identifier.doi10.1007/s00122-016-2818-8en_US
dc.identifier.endpage376en_US
dc.identifier.issn0040-5752
dc.identifier.issn1432-2242
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage363en_US
dc.identifier.urihttps://doi.org/10.1007/s00122-016-2818-8
dc.identifier.urihttps://hdl.handle.net/20.500.12684/6094
dc.identifier.volume130en_US
dc.identifier.wosWOS:000393965900009en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakPubMeden_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofTheoretical And Applied Geneticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleGenomic assisted selection for enhancing line breeding: merging genomic and phenotypic selection in winter wheat breeding programs with preliminary yield trialsen_US
dc.typeArticleen_US

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