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Machine learning techniques for continuous genetic assignment of geographic origin of forest trees.

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Title: Machine learning techniques for continuous genetic assignment of geographic origin of forest trees.
Authors: Degen, Bernd1 (AUTHOR) bernd.degen@thuenen.de, Yanbaev, Yulai2 (AUTHOR), Müller, Niels A.1 (AUTHOR)
Source: PLoS ONE. 6/6/2025, Vol. 20 Issue 6, p1-18. 18p.
Database: Academic Search Ultimate
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  Data: Machine learning techniques for continuous genetic assignment of geographic origin of forest trees.
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  Data: <searchLink fieldCode="AR" term="%22Degen%2C+Bernd%22">Degen, Bernd</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> bernd.degen@thuenen.de</i><br /><searchLink fieldCode="AR" term="%22Yanbaev%2C+Yulai%22">Yanbaev, Yulai</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Müller%2C+Niels+A%2E%22">Müller, Niels A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 6/6/2025, Vol. 20 Issue 6, p1-18. 18p.
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        Value: 10.1371/journal.pone.0324994
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        Text: English
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      – TitleFull: Machine learning techniques for continuous genetic assignment of geographic origin of forest trees.
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              Text: 6/6/2025
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