The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
Automated phenotyping of plant shoots using imaging methods for analysis of plant stress responses – a review
Open accessAbstract
Current methods of in-house plant phenotyping are providing a powerful new tool for plant biology studies. The self-constructed and commercial platforms established in the last few years, employ non-destructive methods and measurements on a large and high-throughput scale. The platforms offer to certain extent, automated measurements, using either simple single sensor analysis, or advanced integrative simultaneous analysis by multiple sensors. However, due to the complexity of the approaches used, it is not always clear what such forms of plant phenotyping can offer the potential end-user, i.e. plant biologist. This review focuses on imaging methods used in the phenotyping of plant shoots including a brief survey of the sensors used. To open up this topic to a broader audience, we provide here a simple introduction to the principles of automated non-destructive analysis, namely RGB, chlorophyll fluorescence, thermal and hyperspectral imaging. We further on present an overview on how and to which extent, the automated integrative in-house phenotyping platforms have been used recently to study the responses of plants to various changing environments.
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Cites
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“Introduction Recently, a large number of reviews have been published on the advantages and possibilities of high-throughput plant phenotyping approaches [1-5].”
BackgroundPhenomics – technologies to relieve the phenotyping bottleneck
Furbank, R. T., & Tester, M. (2011) · Trends in Plant Science · doi:10.1016/j.tplants.2011.09.005 · Cited by 1,675
Future Scenarios for Plant Phenotyping
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Cited by
Stirbet, A., Lazár, D., Kromdijk, J., & Govindjee, G. (2018) · Photosynthetica · doi:10.1007/s11099-018-0770-3 · Cited by 490
Self-citationSalt stress under the scalpel – dissecting the genetics of salt tolerance
Morton, M. J. L., Awlia, M., Al‐Tamimi, N., Saade, S., Pailles, Y., Negrão, S., & Tester, M. (2019) · The Plant Journal · doi:10.1111/tpj.14189 · Cited by 373
Metadata
- Authors
- Humplík, J. F., Lazár, D., Husičková, A., & Spíchal, L.
- Venue
- Plant Methods
- Published
- 2015-04-17
- Volume
- 11
- Issue
- 1
- Pages
- 29-29
- ISSN
- 1746-4811 (ISSN-L)
- OpenAlex
- W2071075913
- Cited by
- 261
- References
- 70
- FWCI
- 19.52
- Type
- journal article
- Language
- en
- Open access
- gold
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- Humplík, J. F., Lazár, D., Husičková, A., & Spíchal, L. (2015). Automated phenotyping of plant shoots using imaging methods for analysis of plant stress responses – a review. Plant Methods. https://doi.org/10.1186/s13007-015-0072-8
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