A Low-Cost Automated System for High-Throughput Phenotyping of Single Oat Seeds

Efforts focused on the genetic improvement of seed morphometric and color traits would greatly benefit from efficient and reliable quantitative phenotypic assessment in a nondestructive manner. Although several seed phenotyping systems exist, none of them combine the cost effectiveness, identity pre...

Full description

Bibliographic Details
Main Authors: James W. Clohessy, Duke Pauli, Kevin M. Kreher, Edward S. Buckler V, Paul R. Armstrong, Tingting Wu, Owen A. Hoekenga, Jean-Luc Jannink, Mark E. Sorrells, Michael A. Gore
Format: Article
Language:English
Published: Wiley 2018-12-01
Series:Plant Phenome Journal
Online Access:https://dl.sciencesocieties.org/publications/tppj/articles/1/1/180005