A robot-assisted imaging pipeline for tracking the growths of maize ear and silks in a high-throughput phenotyping platform

A robot-assisted imaging pipeline for tracking the growths of maize ear and silks in a high-throughput phenotyping platform

Abstract Background In maize, silks are hundreds of filaments that simultaneously emerge from the ear for collecting pollen over a period of 1–7 days, which largely determines grain number especially under water deficit. Silk growth is a major trait for drought tolerance in maize, but its phenotypin...

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Bibliographic Details
Main Authors: Nicolas Brichet, Christian Fournier, Olivier Turc, Olivier Strauss, Simon Artzet, Christophe Pradal, Claude Welcker, François Tardieu, Llorenç Cabrera-Bosquet
Format: Article
Language:English
Published: BMC 2017-11-01
Series:Plant Methods
Subjects:
Image-assisted phenotyping
Computer vision
Robot-assisted imaging
Machine learning
Maize
Water deficit
Online Access:http://link.springer.com/article/10.1186/s13007-017-0246-7

Internet

http://link.springer.com/article/10.1186/s13007-017-0246-7

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