Landscape genomic approach to detect selection signatures in locally adapted Brazilian swine genetic groups.

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dc.contributorROBSON JOSE CESCONETO, UFRGS; STÉPHANE JOOST, ECOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE (EPFL), SWITZERLAND; CONCEPTA MARGARET MCMANUS, UNB; SAMUEL REZENDE PAIVA, Cenargen; JAIME ARAUJO COBUCI, UFRGS; JOSE BRACCINI, UFRGS.
dc.creatorCESCONETO, R. J.
dc.creatorJOOST, S.
dc.creatorMCMANUS, C. M.
dc.creatorPAIVA, S. R.
dc.creatorCOBUCI, J. A.
dc.creatorBRACCINI, J.
dc.date2018-01-15T23:26:55Z
dc.date2018-01-15T23:26:55Z
dc.date2018-01-15
dc.date2017
dc.date2018-08-10T11:11:11Z
dc.date.accessioned2026-07-07T11:49:17Z
dc.identifierEcology and Evolution, November, v. 7, n. 22), p p.9544-9556 , 2017.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1085451
dc.identifier10.1002/ece3.3323
dc.identifier.urihttp://hdl.handle.net/123456789/513868
dc.languageeng
dc.rightsopenAccess
dc.subjectConservation genetics
dc.subjectMolecular markers
dc.subjectAnimal genetic resources
dc.subjectPopulation structure
dc.subjectSus scrofa
dc.titleLandscape genomic approach to detect selection signatures in locally adapted Brazilian swine genetic groups.
dc.typeArtigo de periódico

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