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

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

Abstract Background A study using random forest (RF) algorithms and principal component analysis (PCA) was proposed to identify the effects of arbuscular mycorrhizal fungal inoculation, the seed maturation stage and the geographic diversity of Pimpinella anisum L. accessions on the physicochemical c...

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Main Authors: Bruno Rodrigues de Oliveira, Alan Mario Zuffo, Francisco Charles dos Santos Silva, Fábio Steiner, Amal Mohamed AlGarawi, Mohammad K. Okla, Mousa Nhs, Yousef Alhaj Hamoud, Izabela Josko, Mohamed S. Sheteiwy, Mohamed Salem Alyafei, Saad Sulieman
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Plant Biology
Subjects:
Anise
Mycorrhizal association
Essential oil
Metabolic compounds
Biological activity
Online Access:https://doi.org/10.1186/s12870-025-06536-4
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https://doi.org/10.1186/s12870-025-06536-4

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