A high throughput method for quantifying number and size distribution of Arabidopsis seeds using large particle flow cytometry

A high throughput method for quantifying number and size distribution of Arabidopsis seeds using large particle flow cytometry

Abstract Background Seed size and number are important plant traits from an ecological and horticultural/agronomic perspective. However, in small-seeded species such as Arabidopsis thaliana, research on seed size and number is limited by the absence of suitable high throughput phenotyping methods. R...

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Bibliographic Details
Main Authors: Alejandro Morales, J. Teapal, J. M. H. Ammerlaan, X. Yin, J. B. Evers, N. P. R. Anten, R. Sasidharan, M. van Zanten
Format: Article
Language:English
Published: BMC 2020-03-01
Series:Plant Methods
Subjects:
Machine learning
BioSorter
R package
Phenotyping
SeedSorter
Seed number
Online Access:http://link.springer.com/article/10.1186/s13007-020-00572-x

Internet

http://link.springer.com/article/10.1186/s13007-020-00572-x

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