Quantifying wheat spike morphology by high resolution 3D surface scanning

Latifa Greche, Nicolas Virlet, Malcolm J Hawkesford · 2026

Read Quantifying wheat spike morphology by high resolution 3D surface scanning by Latifa Greche, Nicolas Virlet, Malcolm J Hawkesford (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/PMC13267510.txt.

Description

Latifa Greche, Nicolas Virlet, and Malcolm J Hawkesford present a 2026 method for measuring wheat heads in 3D. The wheat head, or spike, holds the grains, and its shape affects yield. Hand measuring is slow and error-prone, which blocks large breeding studies. The team built a scanning pipeline that rebuilds each spike as a sharp 3D cloud of points.

Software lines the scans up and extracts length, volume, and cross-section shapes on its own. New measures capture zones of failed spikelets and the branching of spike parts. The 3D traits matched classic measures such as spike and seed weight. The method separated 12 wheat types into clear shape groups, from long to compact. The authors offer it as a fast, harmless tool for breeders.

Catalog record

CREATORLatifa Greche, Nicolas Virlet, Malcolm J Hawkesford
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE63006
LICENSEhttps://creativecommons.org/licenses/by/4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/article/MED/PMC13267510

Browse the full library · About the Tower of Babel