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
The performance of classification models using RF is driven primarily by independent variables related to the chemical composition of anise seeds, overshadowing the effects of geographic diversity and the seed maturation stage. Among the chemical constituents of the seed, the variables belonging to the biological activity category best contain information (patterns) on the impacts of AMF inoculation.
Authors
- Izabela Jośko (ORCID: https://orcid.org/0000-0002-0168-6425)
- Saad Sulieman (ORCID: https://orcid.org/0000-0003-2070-6660)
- Alan Mário Zuffo (ORCID: https://orcid.org/0000-0001-9704-5325)
- Fábio Steiner (ORCID: https://orcid.org/0000-0001-9091-1737)
- Amal Mohamed AlGarawi
- Mohammad K. Okla (ORCID: https://orcid.org/0000-0002-4420-0587)
- Mohamed S. Sheteiwy (ORCID: https://orcid.org/0000-0003-1431-939X)
- Francisco Charles dos Santos Silva (ORCID: https://orcid.org/0000-0001-9917-6863)
- Yousef Alhaj Hamoud (ORCID: https://orcid.org/0000-0003-0945-9224)
- Bruno Rodrigues de Oliveira (ORCID: https://orcid.org/0000-0002-1037-6541)
- Mohamed Salem Alyafei
- Mousa Nhs
Institutions
- University of Khartoum (SD)
- University of Life Sciences in Lublin (PL)
- Hohai University (CN)
- United Arab Emirates University (AE)
- King Saud University (SA)
- Universidade Estadual de Mato Grosso do Sul (BR)
- State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (CN)
- University of Applied Sciences Erfurt (DE)
- Universidade Estadual do Maranhão (BR)
- Novana (United States) (US)
- Assiut University (EG)
Publication Details
- Journal
- BMC Plant Biology
- Published
- 2025-05-09
- DOI
- https://doi.org/10.1186/s12870-025-06536-4
- Primary Topic
- Essential Oils and Antimicrobial Activity
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- King Saud University