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Random forest algorithms: a tool to identify the impact of arbuscular mycorrhizal fungi inoculation, seed maturation stage and geographic diversity of Pimpinella anisum L. accessions on the physicochemical composition of seeds.

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Title: Random forest algorithms: a tool to identify the impact of arbuscular mycorrhizal fungi inoculation, seed maturation stage and geographic diversity of Pimpinella anisum L. accessions on the physicochemical composition of seeds.
Authors: de Oliveira, Bruno Rodrigues1 (AUTHOR), Zuffo, Alan Mario2 (AUTHOR) alan_zuffo@hotmail.com, dos Santos Silva, Francisco Charles2 (AUTHOR), Steiner, Fábio3 (AUTHOR), AlGarawi, Amal Mohamed4 (AUTHOR), Okla, Mohammad K.4 (AUTHOR), Nhs, Mousa5 (AUTHOR), Alhaj Hamoud, Yousef6,7 (AUTHOR), Josko, Izabela8 (AUTHOR), Sheteiwy, Mohamed S.9 (AUTHOR) msalah@uaeu.ac.ae, Alyafei, Mohamed Salem9 (AUTHOR), Sulieman, Saad9,10 (AUTHOR)
Source: BMC Plant Biology. 5/9/2025, Vol. 25 Issue 1, p1-17. 17p.
Database: Academic Search Ultimate
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  Data: Random forest algorithms: a tool to identify the impact of arbuscular mycorrhizal fungi inoculation, seed maturation stage and geographic diversity of Pimpinella anisum L. accessions on the physicochemical composition of seeds.
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  Data: <searchLink fieldCode="JN" term="%22BMC+Plant+Biology%22">BMC Plant Biology</searchLink>. 5/9/2025, Vol. 25 Issue 1, p1-17. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=185070963
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        Value: 10.1186/s12870-025-06536-4
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              Text: 5/9/2025
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