Literature DB >> 35467213

Optical Imaging Resources for Crop Phenotyping and Stress Detection.

Phatchareeya Waiphara1, Cyril Bourgenot2, Lindsey J Compton3, Ankush Prashar4.   

Abstract

With a rapidly increasing population, diminishing resource availability, and variation in environment, there is a need to change agricultural production to deliver long-term food security. To deliver such change, we need crops that are productive and tolerant to different stress factors. The traditional methods of obtaining data for phenotyping under field conditions, e.g., for morphological traits such as canopy structure or physiological traits such as plant stress-related traits, are laborious and time-consuming. A variety of imaging tools in the visible, spectral, and thermal infrared ranges allow data collection for quantitative studies of complex traits and crop monitoring. These tools can be used on crop phenotyping and monitoring platforms for high-throughput assessment of traits in order to better understand plant stress responses and the physiological pathways underlying yield. The applications and brief review of these imaging techniques are described and discussed in this chapter.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Multispectral and hyperspectral sensing; Plant stress; Spectral imaging; Thermal imaging

Mesh:

Year:  2022        PMID: 35467213     DOI: 10.1007/978-1-0716-2297-1_18

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  13 in total

1.  Imaging techniques and the early detection of plant stress.

Authors:  L Chaerle; D Van Der Straeten
Journal:  Trends Plant Sci       Date:  2000-11       Impact factor: 18.313

Review 2.  Irrigation scheduling: advantages and pitfalls of plant-based methods.

Authors:  Hamlyn G Jones
Journal:  J Exp Bot       Date:  2004-07-30       Impact factor: 6.992

Review 3.  Phenomics--technologies to relieve the phenotyping bottleneck.

Authors:  Robert T Furbank; Mark Tester
Journal:  Trends Plant Sci       Date:  2011-11-09       Impact factor: 18.313

Review 4.  High-throughput phenotyping and genomic selection: the frontiers of crop breeding converge.

Authors:  Llorenç Cabrera-Bosquet; José Crossa; Jarislav von Zitzewitz; María Dolors Serret; José Luis Araus
Journal:  J Integr Plant Biol       Date:  2012-05       Impact factor: 7.061

5.  Remote detection of biological stresses in plants with infrared thermometry.

Authors:  P J Pinter; M E Stanghellini; R J Reginato; S B Idso; A D Jenkins; R D Jackson
Journal:  Science       Date:  1979-08-10       Impact factor: 47.728

Review 6.  Field high-throughput phenotyping: the new crop breeding frontier.

Authors:  José Luis Araus; Jill E Cairns
Journal:  Trends Plant Sci       Date:  2013-10-16       Impact factor: 18.313

Review 7.  High throughput phenotyping to accelerate crop breeding and monitoring of diseases in the field.

Authors:  Nadia Shakoor; Scott Lee; Todd C Mockler
Journal:  Curr Opin Plant Biol       Date:  2017-07-21       Impact factor: 7.834

8.  Plant Disease Detection by Imaging Sensors - Parallels and Specific Demands for Precision Agriculture and Plant Phenotyping.

Authors:  Anne-Katrin Mahlein
Journal:  Plant Dis       Date:  2016-01-18       Impact factor: 4.438

9.  ABA-based chemical signalling: the co-ordination of responses to stress in plants.

Authors:  S. Wilkinson; W. J. Davies
Journal:  Plant Cell Environ       Date:  2002-02       Impact factor: 7.228

10.  Phenotyping for drought tolerance of crops in the genomics era.

Authors:  Roberto Tuberosa
Journal:  Front Physiol       Date:  2012-09-19       Impact factor: 4.566

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