Literature DB >> 32683162

Towards a generic approach to remote non-invasive estimation of foliar carotenoid-to-chlorophyll ratio.

Anatoly Gitelson1.   

Abstract

Changes of chlorophyll (Chl) and carotenoid (Car) contents and their ratio (Car/Chl) represent a sensitive indicator of vegetation photosynthetic activity, developmental changes, and stress responses. The goal of this study was to design methods for estimating Car/Chl in plants across species, seasonal changes and ontogenetic phases requiring no species-specific parameterization. Four tree species (maple, chestnut, beech, and elm), wild vine shrub, and two crops species (maize and soybean) featuring contrasting leaf structure and photosynthetic pathways, a wide variation of pigment content and composition were studied. Two models based on leaf pigment absorption coefficients retrieved from reflectance spectra were proposed and tested. The first model uses the ratio of absorption coefficients at 500 and 700 nm and the second one-the difference between absorption coefficients at 500 and 660 nm. Both models accurately described Car/Chl changes in the range from 0.15 to 0.6 with determination coefficients R2 of 0.87 for the first model and 0.82 for the second; algorithms for Car/Chl estimation did not require parameterization for each species accurately assessing Car/Chl with normalized root mean square error below 11 % and 14 %, respectively. The findings of a close relationship between leaf absorption coefficients, retrieved from reflectance, and Car/Chl present the first step towards accurate generic quantification of pigment composition and hence the progression of developmental stages, impact of stresses, and potential photosynthetic activity.
Copyright © 2020. Published by Elsevier GmbH.

Entities:  

Keywords:  Absorption coefficient; Carotenoids; Chlorophyll; Reflectance

Mesh:

Substances:

Year:  2020        PMID: 32683162     DOI: 10.1016/j.jplph.2020.153227

Source DB:  PubMed          Journal:  J Plant Physiol        ISSN: 0176-1617            Impact factor:   3.549


  5 in total

1.  Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review.

Authors:  Katja Berger; Miriam Machwitz; Marlena Kycko; Shawn C Kefauver; Shari Van Wittenberghe; Max Gerhards; Jochem Verrelst; Clement Atzberger; Christiaan van der Tol; Alexander Damm; Uwe Rascher; Ittai Herrmann; Veronica Sobejano Paz; Sven Fahrner; Roland Pieruschka; Egor Prikaziuk; Ma Luisa Buchaillot; Andrej Halabuk; Marco Celesti; Gerbrand Koren; Esra Tunc Gormus; Micol Rossini; Michael Foerster; Bastian Siegmann; Asmaa Abdelbaki; Giulia Tagliabue; Tobias Hank; Roshanak Darvishzadeh; Helge Aasen; Monica Garcia; Isabel Pôças; Subhajit Bandopadhyay; Mauro Sulis; Enrico Tomelleri; Offer Rozenstein; Lachezar Filchev; Gheorghe Stancile; Martin Schlerf
Journal:  Remote Sens Environ       Date:  2022-08-04       Impact factor: 13.850

Review 2.  Linking remote sensing parameters to CO2 assimilation rates at a leaf scale.

Authors:  Kouki Hikosaka; Katsuto Tsujimoto
Journal:  J Plant Res       Date:  2021-05-21       Impact factor: 2.629

3.  A Comparative Metabolomic Analysis Reveals Difference Manufacture Suitability in "Yinghong 9" and "Huangyu" Teas (Camellia sinensis).

Authors:  Xin Mei; Chuyuan Lin; Shihua Wan; Baoyi Chen; Hualing Wu; Lingyun Zhang
Journal:  Front Plant Sci       Date:  2021-12-14       Impact factor: 5.753

4.  Transcriptomics and metabolomics of engineered Synechococcus elongatus during photomixotrophic growth.

Authors:  Lin-Rui Tan; Yi-Qi Cao; Jian-Wei Li; Peng-Fei Xia; Shu-Guang Wang
Journal:  Microb Cell Fact       Date:  2022-03-05       Impact factor: 5.328

5.  A Metabolomic Approach to Assess the Toxicity of the Olive Tree Endophyte Bacillus sp. PTA13 Lipopeptides to the Aquatic Macrophyte Lemna minor L.

Authors:  Evgenia-Anna Papadopoulou; Katerina Giaki; Apostolis Angelis; Alexios-Leandros Skaltsounis; Konstantinos A Aliferis
Journal:  Toxics       Date:  2022-08-25
  5 in total

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