Smoothing and extraction of traits in the growth analysis of noninvasive phenotypic data

Smoothing and extraction of traits in the growth analysis of noninvasive phenotypic data

Abstract Background Non-destructive high-throughput plant phenotyping is becoming increasingly used and various methods for growth analysis have been proposed. Traditional longitudinal or repeated measures analyses that model growth using statistical models are common. However, often the variation i...

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Bibliographic Details
Main Authors: Chris Brien, Nathaniel Jewell, Stephanie J. Watts-Williams, Trevor Garnett, Bettina Berger
Format: Article
Language:English
Published: BMC 2020-03-01
Series:Plant Methods
Subjects:
High-throughput phenotyping
Growth analysis
Growth traits
Functional analysis
Greenhouse experiments
Longitudinal analysis
Online Access:http://link.springer.com/article/10.1186/s13007-020-00577-6

Internet

http://link.springer.com/article/10.1186/s13007-020-00577-6

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