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Characterizing and distinguishing the earliest woody euphyllophytes based on secondary xylem anatomy: method development and application.

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Title: Characterizing and distinguishing the earliest woody euphyllophytes based on secondary xylem anatomy: method development and application.
Authors: Casselman E; Department of Biological Sciences, California State Polytechnic University - Humboldt, Arcata, CA 95521, USA., Tomescu AMF; Department of Biological Sciences, California State Polytechnic University - Humboldt, Arcata, CA 95521, USA.
Source: Annals of botany [Ann Bot] 2026 Jun 17; Vol. 137 (6), pp. 1602-1623.
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 0372347 Publication Model: Print Cited Medium: Internet ISSN: 1095-8290 (Electronic) Linking ISSN: 03057364 NLM ISO Abbreviation: Ann Bot Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Casselman+E%22">Casselman E</searchLink>; Department of Biological Sciences, California State Polytechnic University - Humboldt, Arcata, CA 95521, USA.<br /><searchLink fieldCode="AU" term="%22Tomescu+AMF%22">Tomescu AMF</searchLink>; Department of Biological Sciences, California State Polytechnic University - Humboldt, Arcata, CA 95521, USA.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0372347 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1095-8290 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203057364%22">03057364 </searchLink><i>NLM ISO Abbreviation: </i>Ann Bot <i>Subsets: </i>MEDLINE
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        Value: 10.1093/aob/mcaf122
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      – Code: eng
        Text: English
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        StartPage: 1602
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      – TitleFull: Characterizing and distinguishing the earliest woody euphyllophytes based on secondary xylem anatomy: method development and application.
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              Text: 2026 Jun 17
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              Y: 2026
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              Value: 137
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