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Leaf photosynthetic pigment as a predictor of leaf maximum carboxylation rate in a farmland ecosystem
The leaf maximum rate of carboxylation (V(cmax)) is a key parameter of plant photosynthetic capacity. The accurate estimation of V(cmax) is crucial for correctly predicting the carbon flux in the terrestrial carbon cycle. V(cmax) is correlated with plant traits including leaf nitrogen (N(area)) and...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10352676/ https://www.ncbi.nlm.nih.gov/pubmed/37469776 http://dx.doi.org/10.3389/fpls.2023.1225295 |
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author | Li, Yue Wang, Qingtao Fu, Taimiao Qiao, Yunfeng Hao, Lihua Qi, Tao |
author_facet | Li, Yue Wang, Qingtao Fu, Taimiao Qiao, Yunfeng Hao, Lihua Qi, Tao |
author_sort | Li, Yue |
collection | PubMed |
description | The leaf maximum rate of carboxylation (V(cmax)) is a key parameter of plant photosynthetic capacity. The accurate estimation of V(cmax) is crucial for correctly predicting the carbon flux in the terrestrial carbon cycle. V(cmax) is correlated with plant traits including leaf nitrogen (N(area)) and leaf photosynthetic pigments. Proxies for leaf chlorophyll (Chl(area)) and carotenoid contents (Car(area)) need to be explored in different ecosystems. In this study, we evaluated the relationship between leaf maximum rate of carboxylation (scaled to 25°C; V(cmax25)) and both leaf N(area) and photosynthetic pigments (Chl(area) and Car(area)) in winter wheat in a farmland ecosystem. Our results showed that V(cmax25) followed the same trends as leaf Chl(area). However, leaf N(area) showed smaller dynamic changes before the flowering stage, and there were smaller seasonal variations in leaf Car(area). The correlation between leaf V(cmax25) and leaf Chl(area) was the strongest, followed by leaf Car(area) and leaf N(area) (R(2) = 0.69, R(2) = 0.47 and R(2 )= 0.36, respectively). The random forest regression analysis also showed that leaf Chl(area) and leaf Car(area) were more important than leaf N(area) for V(cmax25). The correlation between leaf V(cmax25) and N(area) can be weaker since nitrogen allocation is dynamic. The estimation accuracy of the V(cmax25) model based on N(area), Chl(area), and Car(area) (R(2 )= 0.75) was only 0.05 higher than that of the V(cmax25) model based on Chl(area) and Car(area) (R(2 )= 0.70). However, the estimation accuracy of the V(cmax25) model based on Chl(area) and Car(area) (R(2 )= 0.70) was 0.34 higher than that of the V(cmax25) model based on N(area) (R(2 )= 0.36). These results highlight that leaf photosynthetic pigments can be a predictor for estimating V(cmax25), expanding a new way to estimate spatially continuous V(cmax25) on a regional scale, and to improve model simulation accuracy. |
format | Online Article Text |
id | pubmed-10352676 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103526762023-07-19 Leaf photosynthetic pigment as a predictor of leaf maximum carboxylation rate in a farmland ecosystem Li, Yue Wang, Qingtao Fu, Taimiao Qiao, Yunfeng Hao, Lihua Qi, Tao Front Plant Sci Plant Science The leaf maximum rate of carboxylation (V(cmax)) is a key parameter of plant photosynthetic capacity. The accurate estimation of V(cmax) is crucial for correctly predicting the carbon flux in the terrestrial carbon cycle. V(cmax) is correlated with plant traits including leaf nitrogen (N(area)) and leaf photosynthetic pigments. Proxies for leaf chlorophyll (Chl(area)) and carotenoid contents (Car(area)) need to be explored in different ecosystems. In this study, we evaluated the relationship between leaf maximum rate of carboxylation (scaled to 25°C; V(cmax25)) and both leaf N(area) and photosynthetic pigments (Chl(area) and Car(area)) in winter wheat in a farmland ecosystem. Our results showed that V(cmax25) followed the same trends as leaf Chl(area). However, leaf N(area) showed smaller dynamic changes before the flowering stage, and there were smaller seasonal variations in leaf Car(area). The correlation between leaf V(cmax25) and leaf Chl(area) was the strongest, followed by leaf Car(area) and leaf N(area) (R(2) = 0.69, R(2) = 0.47 and R(2 )= 0.36, respectively). The random forest regression analysis also showed that leaf Chl(area) and leaf Car(area) were more important than leaf N(area) for V(cmax25). The correlation between leaf V(cmax25) and N(area) can be weaker since nitrogen allocation is dynamic. The estimation accuracy of the V(cmax25) model based on N(area), Chl(area), and Car(area) (R(2 )= 0.75) was only 0.05 higher than that of the V(cmax25) model based on Chl(area) and Car(area) (R(2 )= 0.70). However, the estimation accuracy of the V(cmax25) model based on Chl(area) and Car(area) (R(2 )= 0.70) was 0.34 higher than that of the V(cmax25) model based on N(area) (R(2 )= 0.36). These results highlight that leaf photosynthetic pigments can be a predictor for estimating V(cmax25), expanding a new way to estimate spatially continuous V(cmax25) on a regional scale, and to improve model simulation accuracy. Frontiers Media S.A. 2023-07-04 /pmc/articles/PMC10352676/ /pubmed/37469776 http://dx.doi.org/10.3389/fpls.2023.1225295 Text en Copyright © 2023 Li, Wang, Fu, Qiao, Hao and Qi https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Li, Yue Wang, Qingtao Fu, Taimiao Qiao, Yunfeng Hao, Lihua Qi, Tao Leaf photosynthetic pigment as a predictor of leaf maximum carboxylation rate in a farmland ecosystem |
title | Leaf photosynthetic pigment as a predictor of leaf maximum carboxylation rate in a farmland ecosystem |
title_full | Leaf photosynthetic pigment as a predictor of leaf maximum carboxylation rate in a farmland ecosystem |
title_fullStr | Leaf photosynthetic pigment as a predictor of leaf maximum carboxylation rate in a farmland ecosystem |
title_full_unstemmed | Leaf photosynthetic pigment as a predictor of leaf maximum carboxylation rate in a farmland ecosystem |
title_short | Leaf photosynthetic pigment as a predictor of leaf maximum carboxylation rate in a farmland ecosystem |
title_sort | leaf photosynthetic pigment as a predictor of leaf maximum carboxylation rate in a farmland ecosystem |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10352676/ https://www.ncbi.nlm.nih.gov/pubmed/37469776 http://dx.doi.org/10.3389/fpls.2023.1225295 |
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