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The inverse relationship between solar-induced fluorescence yield and photosynthetic capacity: benefits for field phenotyping

Improving photosynthesis is considered a promising way to increase crop yield to feed a growing population. Realizing this goal requires non-destructive techniques to quantify photosynthetic variation among crop cultivars. Despite existing remote sensing-based approaches, it remains a question wheth...

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Autores principales: Fu, Peng, Meacham-Hensold, Katherine, Siebers, Matthew H, Bernacchi, Carl J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7904154/
https://www.ncbi.nlm.nih.gov/pubmed/33340310
http://dx.doi.org/10.1093/jxb/eraa537
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author Fu, Peng
Meacham-Hensold, Katherine
Siebers, Matthew H
Bernacchi, Carl J
author_facet Fu, Peng
Meacham-Hensold, Katherine
Siebers, Matthew H
Bernacchi, Carl J
author_sort Fu, Peng
collection PubMed
description Improving photosynthesis is considered a promising way to increase crop yield to feed a growing population. Realizing this goal requires non-destructive techniques to quantify photosynthetic variation among crop cultivars. Despite existing remote sensing-based approaches, it remains a question whether solar-induced fluorescence (SIF) can facilitate screening crop cultivars of improved photosynthetic capacity in plant breeding trials. Here we tested a hypothesis that SIF yield rather than SIF had a better relationship with the maximum electron transport rate (J(max)). Time-synchronized hyperspectral images and irradiance spectra of sunlight under clear-sky conditions were combined to estimate SIF and SIF yield, which were then correlated with ground-truth V(cmax) and J(max). With observations binned over time (i.e. group 1: 6, 7, and 12 July 2017; group 2: 31 July and 18 August 2017; and group 3: 24 and 25 July 2018), SIF yield showed a stronger negative relationship, compared with SIF, with photosynthetic variables. Using SIF yield for J(max) (V(cmax)) predictions, the regression analysis exhibited an R(2) of 0.62 (0.71) and root mean square error (RMSE) of 11.88 (46.86) μmol m(–2) s(–1) for group 1, an R(2) of 0.85 (0.72) and RMSE of 13.51 (49.32) μmol m(–2) s(–1) for group 2, and an R(2) of 0.92 (0.87) and RMSE of 15.23 (30.29) μmol m(–2) s(–1) for group 3. The combined use of hyperspectral images and irradiance measurements provides an alternative yet promising approach to characterization of photosynthetic parameters at plot level.
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spelling pubmed-79041542021-03-02 The inverse relationship between solar-induced fluorescence yield and photosynthetic capacity: benefits for field phenotyping Fu, Peng Meacham-Hensold, Katherine Siebers, Matthew H Bernacchi, Carl J J Exp Bot Research Papers Improving photosynthesis is considered a promising way to increase crop yield to feed a growing population. Realizing this goal requires non-destructive techniques to quantify photosynthetic variation among crop cultivars. Despite existing remote sensing-based approaches, it remains a question whether solar-induced fluorescence (SIF) can facilitate screening crop cultivars of improved photosynthetic capacity in plant breeding trials. Here we tested a hypothesis that SIF yield rather than SIF had a better relationship with the maximum electron transport rate (J(max)). Time-synchronized hyperspectral images and irradiance spectra of sunlight under clear-sky conditions were combined to estimate SIF and SIF yield, which were then correlated with ground-truth V(cmax) and J(max). With observations binned over time (i.e. group 1: 6, 7, and 12 July 2017; group 2: 31 July and 18 August 2017; and group 3: 24 and 25 July 2018), SIF yield showed a stronger negative relationship, compared with SIF, with photosynthetic variables. Using SIF yield for J(max) (V(cmax)) predictions, the regression analysis exhibited an R(2) of 0.62 (0.71) and root mean square error (RMSE) of 11.88 (46.86) μmol m(–2) s(–1) for group 1, an R(2) of 0.85 (0.72) and RMSE of 13.51 (49.32) μmol m(–2) s(–1) for group 2, and an R(2) of 0.92 (0.87) and RMSE of 15.23 (30.29) μmol m(–2) s(–1) for group 3. The combined use of hyperspectral images and irradiance measurements provides an alternative yet promising approach to characterization of photosynthetic parameters at plot level. Oxford University Press 2020-12-19 /pmc/articles/PMC7904154/ /pubmed/33340310 http://dx.doi.org/10.1093/jxb/eraa537 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For permissions, please email: journals.permissions@oup.com http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Papers
Fu, Peng
Meacham-Hensold, Katherine
Siebers, Matthew H
Bernacchi, Carl J
The inverse relationship between solar-induced fluorescence yield and photosynthetic capacity: benefits for field phenotyping
title The inverse relationship between solar-induced fluorescence yield and photosynthetic capacity: benefits for field phenotyping
title_full The inverse relationship between solar-induced fluorescence yield and photosynthetic capacity: benefits for field phenotyping
title_fullStr The inverse relationship between solar-induced fluorescence yield and photosynthetic capacity: benefits for field phenotyping
title_full_unstemmed The inverse relationship between solar-induced fluorescence yield and photosynthetic capacity: benefits for field phenotyping
title_short The inverse relationship between solar-induced fluorescence yield and photosynthetic capacity: benefits for field phenotyping
title_sort inverse relationship between solar-induced fluorescence yield and photosynthetic capacity: benefits for field phenotyping
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7904154/
https://www.ncbi.nlm.nih.gov/pubmed/33340310
http://dx.doi.org/10.1093/jxb/eraa537
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