Vegetation Indices for Predicting Ripening-Associated Changes in Chlorophyll and Polyphenol Content: A Multi-Cultivar Assessment in Olive Germplasm

Vegetation indices (VIs) enable rapid, non-destructive biochemical monitoring in olive fruits, yet their performance across diverse germplasm and ripening stages remains systematically uncharacterized. This exploratory screening systematically evaluated 87 VIs for predicting chlorophyll and polyphenol content across 31 cultivars at four ripening stages, prioritizing genetic diversity to establish species-level biochemical–spectral relationships through integration of hyperspectral data (380–1080 nm) with biochemical analyses. Modified Chlorophyll Absorption Ratio Index 3 (MCARI 3) and Transformed Chlorophyll Absorption Ratio Index (TCARI) achieved 91 strong correlations (|r| ≥ 0.9) across 124 cultivar-stage combinations. High-performing indices incorporated 550 nm with red/red-edge bands (670–710 nm) and non-linear formulations. Moderate inter-cultivar variability indicated that cultivar-specific calibrations may be necessary. Principal component analysis captured the totality of variance, revealing three biochemical clusters, high-chlorophyll cultivars (n = 5; 91.8 and 7385.6 mg kg−1 chlorophyll/polyphenols, respectively), typical-range cultivars (n = 22; 126.6 and 4016.8 mg kg−1), and elite cultivars (n = 5; 790.4 and 5799.8 mg kg−1), demonstrating VIs’ capacity for cultivar discrimination. Chlorophyll degradation exhibited conserved patterns, supporting universal tracking models. Conversely, polyphenol dynamics displayed marked genotype-dependency, with cultivars showing positive, negative, or minimal variation, yielding non-significant population-level effects, despite robust cultivar-specific trends.

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Journal
Remote Sensing
Published
2026-01-14
DOI
https://doi.org/10.3390/rs18020269
Primary Topic
Edible Oils Quality and Analysis
Type
article
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article

Vegetation Indices for Predicting Ripening-Associated Changes in Chlorophyll and Polyphenol Content: A Multi-Cultivar Assessment in Olive Germplasm

Ezio Riggi, Giovanni Avola, Beniamino Gioli, Miriam Distefano et al.
Remote Sensing
Edible Oils Quality and Analysis
article

Vegetation Indices for Predicting Ripening-Associated Changes in Chlorophyll and Polyphenol Content: A Multi-Cultivar Assessment in Olive Germplasm

Ezio Riggi, Giovanni Avola, Beniamino Gioli, Miriam Distefano, Giosué Giacoppo
article en

Abstract

Vegetation indices (VIs) enable rapid, non-destructive biochemical monitoring in olive fruits, yet their performance across diverse germplasm and ripening stages remains systematically uncharacterized. This exploratory screening systematically evaluated 87 VIs for predicting chlorophyll and polyphenol content across 31 cultivars at four ripening stages, prioritizing genetic diversity to establish species-level biochemical–spectral relationships through integration of hyperspectral data (380–1080 nm) with biochemical analyses. Modified Chlorophyll Absorption Ratio Index 3 (MCARI 3) and Transformed Chlorophyll Absorption Ratio Index (TCARI) achieved 91 strong correlations (|r| ≥ 0.9) across 124 cultivar-stage combinations. High-performing indices incorporated 550 nm with red/red-edge bands (670–710 nm) and non-linear formulations. Moderate inter-cultivar variability indicated that cultivar-specific calibrations may be necessary. Principal component analysis captured the totality of variance, revealing three biochemical clusters, high-chlorophyll cultivars (n = 5; 91.8 and 7385.6 mg kg−1 chlorophyll/polyphenols, respectively), typical-range cultivars (n = 22; 126.6 and 4016.8 mg kg−1), and elite cultivars (n = 5; 790.4 and 5799.8 mg kg−1), demonstrating VIs’ capacity for cultivar discrimination. Chlorophyll degradation exhibited conserved patterns, supporting universal tracking models. Conversely, polyphenol dynamics displayed marked genotype-dependency, with cultivars showing positive, negative, or minimal variation, yielding non-significant population-level effects, despite robust cultivar-specific trends.

Remote SensingVol. 18(2)
Institute of Biosciences and Bioresources (IT), Institute for Advanced Energy Technologies (IT), National Research Council (IT)
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Edible Oils Quality and Analysis
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