Literature DB >> 31725975

Whole-Plant Manual and Image-Based Phenotyping in Controlled Environments.

Erica Agnew1, Adam Bray1, Eric Floro1, Nate Ellis1, John Gierer1, César Lizárraga1, Darren O'Brien1, Madeline Wiechert1, Todd C Mockler1, Nadia Shakoor1, Christopher N Topp1.   

Abstract

Phenotypic measurements and images of crops grown under controlled-environment conditions can be analyzed to compare plant growth and other phenotypes from diverse varieties. Those demonstrating the most favorable phenotypic traits can then be used for crop improvement strategies. This article details a protocol for image-based root and shoot phenotyping of plants grown in the greenhouse to compare traits among different varieties. Diverse maize lines were grown in the greenhouse in large 8-gallon treepots in a clay granule substrate. Replicates of each line were harvested at 4 weeks, 6 weeks, and 8 weeks after planting to capture developmental information. Whole-plant phenotypes include biomass accumulation, ontogeny, architecture, and photosynthetic efficiency of leaves. Image analysis was used to measure leaf surface area and tassel size and to extract shape variance information from complex 3D root architectures. Notably, this framework is extensible to any number of above- or below-ground phenotypes, both morphological and physiological. © 2017 by John Wiley & Sons, Inc.
Copyright © 2017 John Wiley & Sons, Inc.

Entities:  

Keywords:  image-based analysis; phenotypes; roots; shoots; whole-plant

Year:  2017        PMID: 31725975     DOI: 10.1002/cppb.20044

Source DB:  PubMed          Journal:  Curr Protoc Plant Biol


  2 in total

1.  Phenotyping Complex Plant Structures with a Large Format Industrial Scale High-Resolution X-Ray Tomography Instrument.

Authors:  Keith E Duncan; Christopher N Topp
Journal:  Methods Mol Biol       Date:  2022

2.  Multi-environment genome -wide association mapping of culm morphology traits in barley.

Authors:  Gianluca Bretani; Salar Shaaf; Alessandro Tondelli; Luigi Cattivelli; Stefano Delbono; Robbie Waugh; William Thomas; Joanne Russell; Hazel Bull; Ernesto Igartua; Ana M Casas; Pilar Gracia; Roberta Rossi; Alan H Schulman; Laura Rossini
Journal:  Front Plant Sci       Date:  2022-09-23       Impact factor: 6.627

  2 in total

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