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A New Deep Learning Calibration Method Enhances Genome-Based Prediction of Continuous Crop Traits

dc.contributor.authorMontesinos-López, Osval A.
dc.contributor.authorMontesinos-López, Abelardo
dc.contributor.authorMosqueda-González, Brandon A.
dc.contributor.authorBentley, Alison R.
dc.contributor.authorLillemo, Morten
dc.contributor.authorVarshney, Rajeev K.
dc.contributor.authorCrossa, Jose
dc.date.accessioned2022-03-11T12:17:33Z
dc.date.available2022-03-11T12:17:33Z
dc.date.created2022-01-19T15:22:39Z
dc.date.issued2021
dc.identifier.citationFrontiers in Genetics. 2021, 12 .
dc.identifier.issn1664-8021
dc.identifier.urihttps://hdl.handle.net/11250/2984640
dc.language.isoeng
dc.titleA New Deep Learning Calibration Method Enhances Genome-Based Prediction of Continuous Crop Traits
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber12
dc.source.volume12
dc.source.journalFrontiers in Genetics
dc.identifier.doi10.3389/fgene.2021.798840
dc.identifier.cristin1985062
dc.relation.projectNorges forskningsråd: 267806
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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