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Comparing gradient boosting machine and Bayesian threshold BLUP for genome-based prediction of categorical traits in wheat breeding

dc.contributor.authorMontesinos-Lopez, Osval A.
dc.contributor.authorGonzales, Henry Nicole
dc.contributor.authorMontesinos-Lopez, Abelardo
dc.contributor.authorDaza-Torres, Maria
dc.contributor.authorLillemo, Morten
dc.contributor.authorMontesinos-Lopez, Jose Cricelio
dc.contributor.authorCrossa, Jose
dc.date.accessioned2023-03-22T09:47:10Z
dc.date.available2023-03-22T09:47:10Z
dc.date.created2022-09-23T21:22:54Z
dc.date.issued2022
dc.identifier.citationThe Plant Genome. 2022, 15 (3), .
dc.identifier.issn1940-3372
dc.identifier.urihttps://hdl.handle.net/11250/3059738
dc.language.isoeng
dc.titleComparing gradient boosting machine and Bayesian threshold BLUP for genome-based prediction of categorical traits in wheat breeding
dc.title.alternativeComparing gradient boosting machine and Bayesian threshold BLUP for genome-based prediction of categorical traits in wheat breeding
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber17
dc.source.volume15
dc.source.journalThe Plant Genome
dc.source.issue3
dc.identifier.doi10.1002/tpg2.20214
dc.identifier.cristin2055000
dc.relation.projectNorges forskningsråd: 267806
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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