Dissecting trial-related from generalized effects of biostimulants: a case study on heat-stressed maize and sunflower using metabolomics coupled with machine learning
Published: 27 October 2025| Version 1 | DOI: 10.17632/x2f84754v6.1
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Description
Supplementary materials. Table S1 Metabolomics dataset of Maize plants under normal, heat stress, and combination with organic matter Table S2 Metabolomics dataset of Sunflower plants under normal, heat stress, and combination with organic matter Table S3 Statistical analysis from AMOPLS-DA model for both Mazie and Sunflower, shared and separately Table S4 VIP markers name and values of the most significant contribution to pairwise comparisons Table S5 Statistical analysis from Random Forest model for both Mazie and Sunflower
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Institutions
Universita Cattolica del Sacro Cuore
Categories
Untargeted Metabolomics
Additional Metadata for UCSC Datasets
| Campus | Piacenza |
| Scientific Disciplinary Area (after 2024) | AGRI-06/B - Agricultural Chemistry |