ArticlePlant & cell physiology2012
Hyperspectral imaging techniques for rapid identification of Arabidopsis mutants with altered leaf pigment status.
Article in Plant & cell physiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Article
- High-throughput phenotyping of buckwheat (Fagopyrum esculentum Moench.) genotypes under water stress: exploring drought resistance for sustainable agriculture.BMC plant biology · 2025Article
- Insight into the genetics of a novel white-striped leaf in rice.Frontiers in plant science · 2025Article
- Review
- Remote Sensing Techniques: Hyperspectral Imaging and Data Analysis.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Evaluating potential of leaf reflectance spectra to monitor plant genetic variation.Plant methods · 2023Article
- Multi-Omics Techniques for Soybean Molecular Breeding.International journal of molecular sciences · 2022Review
- Article
- Measurement of Environmentally Influenced Variations in Anthocyanin Accumulations inFrontiers in plant science · 2021Article
- Phenotyping in Arabidopsis and Crops-Are We Addressing the Same Traits? A Case Study in Tomato.Genes · 2020Review
- Rapid metabolite response in leaf blade and petiole as a marker for shade avoidance syndrome.Plant methods · 2020Article
- Measuring plant colors.Plant biotechnology (Tokyo, Japan) · 2019Article
- Hyperspectral Leaf Reflectance as Proxy for Photosynthetic Capacities: An Ensemble Approach Based on Multiple Machine Learning Algorithms.Frontiers in plant science · 2019Article
- A low-cost and open-source platform for automated imaging.Plant methods · 2019Article
- Digital Imaging Combined with Genome-Wide Association Mapping Links Loci to Plant-Pathogen Interaction Traits.Plant physiology · 2018Article
- An integrated hyperspectral imaging and genome-wide association analysis platform provides spectral and genetic insights into the natural variation in rice.Scientific reports · 2017Article
- A Journey Through a Leaf: Phenomics Analysis of Leaf Growth in Arabidopsis thaliana.The arabidopsis book · 2015Article
- HyperART: non-invasive quantification of leaf traits using hyperspectral absorption-reflectance-transmittance imaging.Plant methods · 2015Article
- Article
- A review of imaging techniques for plant phenotyping.Sensors (Basel, Switzerland) · 2014Review
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The spectral reflectance signature of living organisms provides information that closely reflects their physiological status. Because of its high potential for the estimation of geomorphic biological parameters, particularly of gross photosynthesis of plants, two-dimensional spectroscopy, via the use of hyperspectral instruments, has been widely used in remote sensing applications. In genetics research, in contrast, the reflectance phenotype has rarely been the subject of quantitative analysis; its potential for illuminating the pathway leading from the gene to phenotype remains largely unexplored. In this study, we employed hyperspectral imaging techniques to identify Arabidopsis mutants with altered leaf pigment status. The techniques are comprised of two modes; the first is referred to as the 'targeted mode' and the second as the 'non-targeted mode'. The 'targeted' mode is aimed at visualizing individual concentrations and compositional parameters of leaf pigments based on reflectance indices (RIs) developed for Chls a and b, carotenoids and anthocyanins. The 'non-targeted' mode highlights differences in reflectance spectra of leaf samples relative to reference spectra from the wild-type leaves. Through the latter approach, three mutant lines with weak irregular reflectance phenotypes, that are hardly identifiable by simple observation, were isolated. Analysis of these and other mutants revealed that the RI-based targeted pigment estimation was robust at least against changes in trichome density, but was confounded by genetic defects in chloroplast photorelocation movement. Notwithstanding such a limitation, the techniques presented here provide rapid and high-sensitive means to identify genetic mechanisms that coordinate leaf pigment status with developmental stages and/or environmental stress conditions.
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