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dc.contributor.authorZhang, B
dc.contributor.authorLin, S
dc.contributor.authorMoraes, L
dc.contributor.authorFirkins, Jeffrey
dc.contributor.authorHristov, Alexander N.
dc.contributor.authorKebreab, Ermias
dc.contributor.authorJanssen, PH
dc.contributor.authorBannink, André
dc.contributor.authorBayat, Alireza R
dc.contributor.authorCrompton, Les A.
dc.contributor.authorDijkstra, Jan
dc.contributor.authorEugène, Maguy A.
dc.contributor.authorKreuzer, Michael
dc.contributor.authorMcGee, M.
dc.contributor.authorReynolds, Christopher K
dc.contributor.authorSchwarm, Angela Dagmar
dc.contributor.authorYáñez-Ruíz, David R.
dc.contributor.authorYu, Zhongtang
dc.date.accessioned2023-12-08T07:42:13Z
dc.date.available2023-12-08T07:42:13Z
dc.date.created2023-12-04T10:50:41Z
dc.date.issued2023
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/11250/3106532
dc.language.isoengen_US
dc.titleMethane prediction equations including genera of rumen bacteria as predictor variables improve prediction accuracyen_US
dc.title.alternativeMethane prediction equations including genera of rumen bacteria as predictor variables improve prediction accuracyen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.source.volume13en_US
dc.source.journalScientific Reportsen_US
dc.source.issue21305en_US
dc.identifier.doihttps://doi.org/10.1038/s41598-023-48449-y
dc.identifier.cristin2208220
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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