# UAV NDVI-Based Vigor Zoning Predicts PR-Protein Accumulation and Protein Instability in Chardonnay and Sauvignon Blanc Wines

**Authors:** Adrián Vera-Esmeraldas, Mauricio Galleguillos, Mariela Labbé, Alejandro Cáceres-Mella, Francisco Rojo, Fernando Salazar

PMC · DOI: 10.3390/plants15020243 · 2026-01-13

## TL;DR

Using drone imagery to assess vine health helps predict protein instability in white wines, allowing for better winemaking strategies.

## Contribution

This study shows UAV NDVI-based vigor zoning can predict protein instability in wines, enabling precision enology.

## Key findings

- Low-vigor vines produced musts with higher PR-protein concentrations and greater turbidity after heating.
- NDVI and protein data correctly separated vigor classes via linear discriminant analysis.
- Vigor-dependent patterns were consistent across seasons and cultivars.

## Abstract

Protein instability in white wines is mainly caused by pathogenesis-related (PR) proteins that survive winemaking and can form haze in bottle. Because PR-protein synthesis is modulated by vine stress, this study evaluated whether unmanned aerial vehicle (UAV) multispectral imagery and NDVI-based vigor zoning can be used as early predictors of protein instability in commercial Chardonnay and Sauvignon Blanc wines. High-resolution multispectral images were acquired over two seasons (2023–2024) in two vineyards, and three vigor zones (high, medium, low) were delineated from the NDVI at the individual vine scale. A total of 180 georeferenced vines were sampled, and musts were analyzed for thaumatin-like proteins and chitinases via RP-HPLC. Separate microvinifications were carried out for each vigor zone and cultivar, and the resulting wines were evaluated for protein instability (heat test) and bentonite requirements. Low-vigor vines consistently produced musts with higher PR-protein concentrations, greater turbidity after heating, and higher bentonite demand than high-vigor vines, with stronger effects in Sauvignon Blanc. These vigor-dependent patterns were stable across vintages, despite contrasting seasonal conditions. Linear discriminant analysis using NDVI, PR-protein content, turbidity, and bentonite dosage correctly separated vigor classes. Overall, UAV NDVI–based vigor zoning provided a robust, non-destructive tool for identifying vineyard zones with increased risk of protein instability. This approach supports precision enology by enabling site-specific stabilization strategies that reduce overtreatment with bentonite and preserve white wine quality.

## Linked entities

- **Proteins:** LOC107840860 (TMV resistance protein N)

## Full-text entities

- **Chemicals:** bentonite (MESH:D001546)

## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12844824/full.md

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Source: https://tomesphere.com/paper/PMC12844824