Predicting leaf traits in wine grapes with reflectance spectroscopy

Rachel O Mariani, Marney E Isaac, Kimberley A Cathline, Gavin Robertson, Adam R Martin · 2026

Read Predicting leaf traits in wine grapes with reflectance spectroscopy by Rachel O Mariani, Marney E Isaac, Kimberley A Cathline, Gavin Robertson, Adam R Martin (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/plos-pone-0336560.txt.

Description

Rachel Mariani and colleagues tested whether shining light through grape leaves and reading the reflection can measure leaf traits that normally require slow laboratory work. They covered twelve wine grape cultivars and twelve traits, including the gas-exchange and water traits that decide how a vine handles heat and drought. The samples varied widely between and within cultivars.

Spectral readings captured that variation, showing the method can detect differences not just between species but between cultivated varieties of one crop. Breeders and growers need trait data at scales no laboratory pipeline can supply, for example when screening hundreds of vines for drought behavior. A leaf scan that substitutes for days of measurement turns that screening from a bottleneck into a routine.

Catalog record

CREATORRachel O Mariani, Marney E Isaac, Kimberley A Cathline, Gavin Robertson, Adam R Martin
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE52932
LICENSECC_BY
RIGHTSCC BY
SOURCEPLOS

Source: https://doi.org/10.1371/journal.pone.0336560

Browse the full library · About the Tower of Babel