Skip to main content

High-Throughput Screening to Examine the Dynamic of Stay-Green by an Imaging System

  • Protocol
  • First Online:
High-Throughput Plant Phenotyping

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2539))

  • 678 Accesses

Abstract

The development of RGB (red, green, blue) sensors has opened the way for plant phenotyping. This is relevant because plant phenotyping allows us to visualize the product of the interaction between the plant ontogeny, anatomy, physiology, and biochemistry. Better yet, this can be achieved at any stage of plant development, i.e., from seedling to maturity. Here, we describe the use of phenotyping, based on the stay‐green trait, of common bean (Phaseolus vulgaris L.) plant, as a model, stressed by water deficit, to elucidate the result of that interaction. Description is based on interpretation of RGB digital images acquired using a phenomic platform and a specific software. These images allow us to obtain a data group related to the color parameters that quantify the changes and alterations in each plant growth and development.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Abdelrahman M, El-Sayed M, Jogaiah et al (2017) The “STAY-GREEN” trait and phytohormone signaling networks in plants under heat stress. Plant Cell Rep 36:1009–1025

    Article  CAS  Google Scholar 

  2. Gregersen PL, Culetic A, Boschian L et al (2013) Plant senescence and crop productivity. Plant Molec Biol 82:603–622

    Article  CAS  Google Scholar 

  3. Kuska MT, Behmann J, Großkinsky DK et al (2018) Screening of barley resistance against powdery mildew by simultaneous high-throughput enzyme activity signature profiling and multispectral imaging. Frontiers Plant Sci 9:1074–1074

    Article  Google Scholar 

  4. Rebetzke GJ, Jimenez-Berni JA, Dovill WD et al (2016) High-throughput phenotyping technologies allow accurate selection of stay-green. J Exp Bot 67:4919–4924

    Article  CAS  Google Scholar 

  5. Maxwell K, Johnson GN (2000) Chlorophyll fluorescence—a practical guide. J Exp Bot 51:659–668

    Article  CAS  Google Scholar 

  6. Jansen M, Gilmer F, Biskup B et al (2009) Simultaneous phenotyping of leaf growth and chlorophyll fluorescence via GROWSCREENFLUORO allows detection of stress tolerance in Arabidopsis thaliana and other rosette plants. Funct Plant Biol 36:902–914

    Article  CAS  Google Scholar 

  7. Woo NS, Badger MR, Pogson BJ (2008) A rapid, non-invasive procedure for quantitative assessment of drought survival using chlorophyll fluorescence. Plant Methods 4:27–27

    Article  Google Scholar 

  8. Thomas H, Ougham H (2014) The stay-green trait. J Exp Bot 65:3889–3900

    Article  CAS  Google Scholar 

  9. Padilla-Chacón D, Peña Valdivia CB, García Esteva A et al (2019) Phenotypic variation and biomass partitioning during post-flowering in two common bean cultivars (Phaseolus vulgaris L.) under water restriction. South African J Bot 121:98–104

    Article  Google Scholar 

Download references

Acknowledgments

We thank Cátedras-CONACyT program and Infrastructure Project CONACyT, INFRA-2015 (256307).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Daniel Padilla-Chacón .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature

About this protocol

Check for updates. Verify currency and authenticity via CrossMark

Cite this protocol

Padilla-Chacón, D., Peña-Valdivia, C.B. (2022). High-Throughput Screening to Examine the Dynamic of Stay-Green by an Imaging System. In: Lorence, A., Medina Jimenez, K. (eds) High-Throughput Plant Phenotyping. Methods in Molecular Biology, vol 2539. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2537-8_1

Download citation

  • DOI: https://doi.org/10.1007/978-1-0716-2537-8_1

  • Published:

  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-2536-1

  • Online ISBN: 978-1-0716-2537-8

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics