An empirical model that uses light attenuation and plant nitrogen status to predict within-canopy N distribution and upscale photosynthesis from leaf to whole canopy
Modelling the spatial and temporal distribution of leaf nitrogen (N) is central to specify photosynthetic parameters and simulate canopy photosynthesis. Leaf photosynthetic parameters depend on both local light availability and whole-plant N status. The interaction between these two levels of inte...
| Autores principales: | , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
2017
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/1319 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635319/ |
| _version_ | 1855482868341407744 |
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| author | Louarn, Gaëtan Frak, Ela Zaka, Serge Prieto, Jorge Alejandro Lebon, Eric |
| author_browse | Frak, Ela Lebon, Eric Louarn, Gaëtan Prieto, Jorge Alejandro Zaka, Serge |
| author_facet | Louarn, Gaëtan Frak, Ela Zaka, Serge Prieto, Jorge Alejandro Lebon, Eric |
| author_sort | Louarn, Gaëtan |
| collection | INTA Digital |
| description | Modelling the spatial and temporal distribution of leaf nitrogen (N) is central to specify photosynthetic
parameters and simulate canopy photosynthesis. Leaf photosynthetic parameters depend on both local light availability
and whole-plant N status. The interaction between these two levels of integration has generally been modelled
by assuming optimal canopy functioning, which is not supported by experiments. During this study, we examined how
a set of empirical relationships with measurable parameters could be used instead to predict photosynthesis at the
leaf and whole-canopy levels. The distribution of leaf N per unit area (Na) within the canopy was related to leaf light
irradiance and to the nitrogen nutrition index (NNI), a whole-plant variable accounting for plant N status. Na was then
used to determine the photosynthetic parameters of a leaf gas exchange model. The model was assessed on alfalfa
canopies under contrasting N nutrition and with N2-fixing and non-fixing plants. Three experiments were carried out to
parameterize the relationships between Na, leaf irradiance, NNI and photosynthetic parameters. An additional independent
data set was used for model evaluation. The N distribution model showed that it was able to predict leaf N on
the set of leaves tested. The Na at the top of the canopy appeared to be related linearly to the NNI, whereas the coef-
ficient accounting for N allocation remained constant. Photosynthetic parameters were related linearly to Na irrespective
of N nutrition and the N acquisition mode. Daily patterns of gas exchange were simulated accurately at the leaf
scale. When integrated at the whole-canopy scale, the model predicted that raising N availability above an NNI of 1 did
not result in increased net photosynthesis. Overall, the model proposed offered a solution for a dynamic coupling of
leaf photosynthesis and canopy N distribution without requiring any optimal functioning hypothesis. |
| format | Artículo |
| id | INTA1319 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| record_format | dspace |
| spelling | INTA13192018-01-12T13:49:57Z An empirical model that uses light attenuation and plant nitrogen status to predict within-canopy N distribution and upscale photosynthesis from leaf to whole canopy Louarn, Gaëtan Frak, Ela Zaka, Serge Prieto, Jorge Alejandro Lebon, Eric Medicago Sativa Cubierta Vegetal Fotosíntesis Nitrógeno Disponibilidad de Nutrientes Transpiración Superficie Foliar Modelos Cubierta de Copas Plant Cover Photosynthesis Nitrogen Nutrient Availability Transpiration Leaf Area Models Canopy Nitrogen Nutrition Index Alfalfa Canipia Modelling the spatial and temporal distribution of leaf nitrogen (N) is central to specify photosynthetic parameters and simulate canopy photosynthesis. Leaf photosynthetic parameters depend on both local light availability and whole-plant N status. The interaction between these two levels of integration has generally been modelled by assuming optimal canopy functioning, which is not supported by experiments. During this study, we examined how a set of empirical relationships with measurable parameters could be used instead to predict photosynthesis at the leaf and whole-canopy levels. The distribution of leaf N per unit area (Na) within the canopy was related to leaf light irradiance and to the nitrogen nutrition index (NNI), a whole-plant variable accounting for plant N status. Na was then used to determine the photosynthetic parameters of a leaf gas exchange model. The model was assessed on alfalfa canopies under contrasting N nutrition and with N2-fixing and non-fixing plants. Three experiments were carried out to parameterize the relationships between Na, leaf irradiance, NNI and photosynthetic parameters. An additional independent data set was used for model evaluation. The N distribution model showed that it was able to predict leaf N on the set of leaves tested. The Na at the top of the canopy appeared to be related linearly to the NNI, whereas the coef- ficient accounting for N allocation remained constant. Photosynthetic parameters were related linearly to Na irrespective of N nutrition and the N acquisition mode. Daily patterns of gas exchange were simulated accurately at the leaf scale. When integrated at the whole-canopy scale, the model predicted that raising N availability above an NNI of 1 did not result in increased net photosynthesis. Overall, the model proposed offered a solution for a dynamic coupling of leaf photosynthesis and canopy N distribution without requiring any optimal functioning hypothesis. Fil: Louarn, Gaëtan. Institut National de la Recherche Agronomique; Francia Fil: Frak, Ela. Institut National de la Recherche Agronomique; Francia Fil: Zaka, Serge. Institut National de la Recherche Agronomique; Francia Fil: Lebon, Eric. Institut National de la Recherche Agronomique. Unité Mixte de Recherche; Francia Fil: Prieto, Jorge Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentina 2017-09-25T17:55:34Z 2017-09-25T17:55:34Z 2015-10-03 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/1319 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635319/ 2041-2851 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf AoB plants 7 : 1-16. (2015) |
| spellingShingle | Medicago Sativa Cubierta Vegetal Fotosíntesis Nitrógeno Disponibilidad de Nutrientes Transpiración Superficie Foliar Modelos Cubierta de Copas Plant Cover Photosynthesis Nitrogen Nutrient Availability Transpiration Leaf Area Models Canopy Nitrogen Nutrition Index Alfalfa Canipia Louarn, Gaëtan Frak, Ela Zaka, Serge Prieto, Jorge Alejandro Lebon, Eric An empirical model that uses light attenuation and plant nitrogen status to predict within-canopy N distribution and upscale photosynthesis from leaf to whole canopy |
| title | An empirical model that uses light attenuation and plant nitrogen status to predict within-canopy N distribution and upscale photosynthesis from leaf to whole canopy |
| title_full | An empirical model that uses light attenuation and plant nitrogen status to predict within-canopy N distribution and upscale photosynthesis from leaf to whole canopy |
| title_fullStr | An empirical model that uses light attenuation and plant nitrogen status to predict within-canopy N distribution and upscale photosynthesis from leaf to whole canopy |
| title_full_unstemmed | An empirical model that uses light attenuation and plant nitrogen status to predict within-canopy N distribution and upscale photosynthesis from leaf to whole canopy |
| title_short | An empirical model that uses light attenuation and plant nitrogen status to predict within-canopy N distribution and upscale photosynthesis from leaf to whole canopy |
| title_sort | empirical model that uses light attenuation and plant nitrogen status to predict within canopy n distribution and upscale photosynthesis from leaf to whole canopy |
| topic | Medicago Sativa Cubierta Vegetal Fotosíntesis Nitrógeno Disponibilidad de Nutrientes Transpiración Superficie Foliar Modelos Cubierta de Copas Plant Cover Photosynthesis Nitrogen Nutrient Availability Transpiration Leaf Area Models Canopy Nitrogen Nutrition Index Alfalfa Canipia |
| url | http://hdl.handle.net/20.500.12123/1319 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635319/ |
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