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High-throughput phenotyping by applying digital morphometrics and fluorescence induction curves in seeds to identifying variations: A case study of Annona (Annonaceae) species

dc.contributor.authorPontes, Montcharles S.
dc.contributor.authorMontefusco-Pereira, Carlos V.
dc.contributor.authorMisra, Biswapriya B.
dc.contributor.authorRibeiro-Junior, Howard L.
dc.contributor.authorGraciano, Daniela E.
dc.contributor.authorSantos, Jaqueline S.
dc.contributor.authorNobrega, Michele A.S.
dc.contributor.authorFernandes, Shaline S.L.
dc.contributor.authorCaires, Anderson R.L.
dc.contributor.authorSantiago, Etenaldo F.
dc.date.accessioned2018-09-03T08:20:19Z
dc.date.available2018-09-03T08:20:19Z
dc.identifier.issn22143173
dc.identifier.doi10.1016/j.inpa.2018.07.001
dc.identifier.urihttp://hdl.handle.net/10033/621462
dc.relation.urlhttps://linkinghub.elsevier.com/retrieve/pii/S221431731830043Xen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.titleHigh-throughput phenotyping by applying digital morphometrics and fluorescence induction curves in seeds to identifying variations: A case study of Annona (Annonaceae) speciesen_US
dc.typeArticleen_US
dc.contributor.departmentHIPS, Helmholtz-Institut für pharmazeutische Forschung Saarland, Universitätscampus 8.1, 66123 Saarbrücken, Germany.en_US
refterms.dateFOA2018-09-03T08:20:20Z
dc.source.journaltitleInformation Processing in Agriculture


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