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
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
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
Gregersen PL, Culetic A, Boschian L et al (2013) Plant senescence and crop productivity. Plant Molec Biol 82:603–622
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
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
Maxwell K, Johnson GN (2000) Chlorophyll fluorescence—a practical guide. J Exp Bot 51:659–668
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
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
Thomas H, Ougham H (2014) The stay-green trait. J Exp Bot 65:3889–3900
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
Acknowledgments
We thank Cátedras-CONACyT program and Infrastructure Project CONACyT, INFRA-2015 (256307).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature
About this protocol
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