Disentangling the interactions between leaf water, nitrogen, carbon status, and photosynthesis using high throughput phenotyping and statistical models: A study of fungi tolerant grapevine varieties
In the context of climate change and the need to reduce inputs, optimising photosynthesis and grapevine performance requires a better understanding of the interactions between water status, nitrogen availability, and source-sink relationships. This study investigates the combined effects of leaf wa...
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| Language: | English |
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International Viticulture and Enology Society
2025-07-01
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| Series: | OENO One |
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| Online Access: | https://oeno-one.eu/article/view/9310 |
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| author | Martha Violet Nicolas Saurin Guillaume Coulouma Gaëlle Rolland Romain Boulord Anne Pellegrino Benoît Pallas |
| author_facet | Martha Violet Nicolas Saurin Guillaume Coulouma Gaëlle Rolland Romain Boulord Anne Pellegrino Benoît Pallas |
| author_sort | Martha Violet |
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In the context of climate change and the need to reduce inputs, optimising photosynthesis and grapevine performance requires a better understanding of the interactions between water status, nitrogen availability, and source-sink relationships. This study investigates the combined effects of leaf water potential (Ψpd), leaf nitrogen content (LN), and leaf-to-fruit ratio (L:F) on the photosynthetic activity of three fungus-tolerant grapevine varieties (ARTABAN, 3159-B, and G5).
The experiment was conducted over two years in an experimental vineyard subjected to different agronomic practices that modified water and nitrogen availability (cover cropping, irrigation, fertilisation) and source-sink balance (winter and summer pruning). High-throughput phenotyping methods, including Near InfraRed Spectrometry (NIRS) and chlorophyll fluorescence, were used to rapidly estimate leaf nitrogen and non-structural carbohydrate contents, as well as photosynthetic activity.
Our results show that, among the monitored variables, Ψpd was the main determinant of photosynthesis, while L:F and LN had a moderate influence. ARTABAN maintained higher photosynthetic activity for a given intensity of water deficit than G5, likely due to its lower L:F. Structural equation modelling revealed causal relationships for the three genotypes between Ψpd and LN, between Ψpd and L:F, between L:F and LN, and lastly between Ψpd and photosynthesis (An). In addition, our results showed that leaf non-structural carbohydrate content was driven by both sink demand and maximum CO2 assimilation rate (Amax), rather than by water or nitrogen availability.
These findings highlight the importance of integrating water management and canopy structure optimisation to maintain carbon assimilation under limiting conditions, thus providing new perspectives for improving vineyard resilience to climate change.
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| format | Article |
| id | doaj-art-c74d364ca43d40d5a13477e04b8bb7cd |
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| issn | 2494-1271 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | International Viticulture and Enology Society |
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| series | OENO One |
| spelling | doaj-art-c74d364ca43d40d5a13477e04b8bb7cd2025-07-23T08:37:41ZengInternational Viticulture and Enology SocietyOENO One2494-12712025-07-0159310.20870/oeno-one.2025.59.3.9310Disentangling the interactions between leaf water, nitrogen, carbon status, and photosynthesis using high throughput phenotyping and statistical models: A study of fungi tolerant grapevine varietiesMartha Violet0Nicolas Saurin1Guillaume Coulouma2Gaëlle Rolland3Romain Boulord4Anne Pellegrino5Benoît Pallas6UMR LEPSE, Univ Montpellier, INRAE, Institut Agro Montpellier, 2, place P. Viala, 34060 Montpellier Cedex, FranceUE Pech Rouge, Univ Montpellier, INRAE, Gruissan, France UMR LISAH, Univ Montpellier, INRAE, IRD, Institut Agro Montpellier, 2, place P. Viala, 34060 Montpellier Cedex, FranceUMR LEPSE, Univ Montpellier, INRAE, Institut Agro Montpellier, 2, place P. Viala, 34060 Montpellier Cedex, FranceUMR LEPSE, Univ Montpellier, INRAE, Institut Agro Montpellier, 2, place P. Viala, 34060 Montpellier Cedex, FranceUMR LEPSE, Univ Montpellier, INRAE, Institut Agro Montpellier, 2, place P. Viala, 34060 Montpellier Cedex, FranceUMR LEPSE, Univ Montpellier, INRAE, Institut Agro Montpellier, 2, place P. Viala, 34060 Montpellier Cedex, France In the context of climate change and the need to reduce inputs, optimising photosynthesis and grapevine performance requires a better understanding of the interactions between water status, nitrogen availability, and source-sink relationships. This study investigates the combined effects of leaf water potential (Ψpd), leaf nitrogen content (LN), and leaf-to-fruit ratio (L:F) on the photosynthetic activity of three fungus-tolerant grapevine varieties (ARTABAN, 3159-B, and G5). The experiment was conducted over two years in an experimental vineyard subjected to different agronomic practices that modified water and nitrogen availability (cover cropping, irrigation, fertilisation) and source-sink balance (winter and summer pruning). High-throughput phenotyping methods, including Near InfraRed Spectrometry (NIRS) and chlorophyll fluorescence, were used to rapidly estimate leaf nitrogen and non-structural carbohydrate contents, as well as photosynthetic activity. Our results show that, among the monitored variables, Ψpd was the main determinant of photosynthesis, while L:F and LN had a moderate influence. ARTABAN maintained higher photosynthetic activity for a given intensity of water deficit than G5, likely due to its lower L:F. Structural equation modelling revealed causal relationships for the three genotypes between Ψpd and LN, between Ψpd and L:F, between L:F and LN, and lastly between Ψpd and photosynthesis (An). In addition, our results showed that leaf non-structural carbohydrate content was driven by both sink demand and maximum CO2 assimilation rate (Amax), rather than by water or nitrogen availability. These findings highlight the importance of integrating water management and canopy structure optimisation to maintain carbon assimilation under limiting conditions, thus providing new perspectives for improving vineyard resilience to climate change. https://oeno-one.eu/article/view/9310water deficitleaf nitrogen contentleaf to fruit rationon structural carbon contentpath analysesnear infrared spectrometry |
| spellingShingle | Martha Violet Nicolas Saurin Guillaume Coulouma Gaëlle Rolland Romain Boulord Anne Pellegrino Benoît Pallas Disentangling the interactions between leaf water, nitrogen, carbon status, and photosynthesis using high throughput phenotyping and statistical models: A study of fungi tolerant grapevine varieties OENO One water deficit leaf nitrogen content leaf to fruit ratio non structural carbon content path analyses near infrared spectrometry |
| title | Disentangling the interactions between leaf water, nitrogen, carbon status, and photosynthesis using high throughput phenotyping and statistical models: A study of fungi tolerant grapevine varieties |
| title_full | Disentangling the interactions between leaf water, nitrogen, carbon status, and photosynthesis using high throughput phenotyping and statistical models: A study of fungi tolerant grapevine varieties |
| title_fullStr | Disentangling the interactions between leaf water, nitrogen, carbon status, and photosynthesis using high throughput phenotyping and statistical models: A study of fungi tolerant grapevine varieties |
| title_full_unstemmed | Disentangling the interactions between leaf water, nitrogen, carbon status, and photosynthesis using high throughput phenotyping and statistical models: A study of fungi tolerant grapevine varieties |
| title_short | Disentangling the interactions between leaf water, nitrogen, carbon status, and photosynthesis using high throughput phenotyping and statistical models: A study of fungi tolerant grapevine varieties |
| title_sort | disentangling the interactions between leaf water nitrogen carbon status and photosynthesis using high throughput phenotyping and statistical models a study of fungi tolerant grapevine varieties |
| topic | water deficit leaf nitrogen content leaf to fruit ratio non structural carbon content path analyses near infrared spectrometry |
| url | https://oeno-one.eu/article/view/9310 |
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