Fig. 4 in Profiling of volatile and non-volatile metabolites in Polianthes tuberosa L. flowers reveals intraspecific variation among cultivars
Fig. 4. Multivariate analysis of P. tuberosa cultivars (classes 0–6). The scores plot obtained after PLS-DA analysis has been shown in A, where components 1 and 2 together can explain the maximum variance between the cultivars. Metabolites having higher VIP scores are shown in B where their relative abundances are color coded from high to low as per the scale shown. The dendrogram as shown in C was obtained after hierarchical clustering analysis of studied P. tuberosa cultivars. Classes 0, 1, 2, 3, 4, 5, and 6 represent Calcutta double, Calcutta single, Jyothi, Ujwal, Shnigdha, Shringhar and Phule rajani cultivars. Metabolites enlisted as 1–25 in B are sequentially represented as follows: quinic acid, V_D-limonene (V: detected as emitted volatile), myo-inositol, D-mannose, V_3-carene, EV_cis-methyl eugenol (EV: detected as endogenous volatile), V_Z- β-caryophyllene, V_benzyl salicylate, EV_benzyl benzoate, EV_eugenol, methyl α-D-galactofuranoside, EV_(Z, E)-farnesol, GV_2-nitrocumene (GV: detected as glycosyl-bound volatile), EV_1,8-cineole, V_1,R-α-pinene, Methyl β-D-galactopyranoside, GV_4-propyl benzaldehyde, Methyl α-Dglucofuranoside, V_β-terpineol, D-fructofuranose, L-threonine, EV_2-hydroxy cineole, EV_3-exo-hydroxy-1,8-cineole, EV_5-hydroxy-7(Z)-decenoic acid-δ-lactone and GV_5-hydroxy-7Z-decenoic acid- δ –lactone.
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 12
- Reuse readiness
- 8
- Engagement
- 0