A leaf gas exchange model that accounts for intra‐canopy variability by considering leaf nitrogen content and local acclimation to radiation in grapevine (<i>Vitis vinifera</i> L.)

Prieto, Jorge; Louarn, Gaëtan; Peña, J. Perez; Ojeda, Hernán; Simonneau, Thierry; Lebon, Éric

doi:10.1111/j.1365-3040.2012.02491.x

Cited by 74 publications

(62 citation statements)

References 76 publications

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“…Nitrogen was taken up continuously by the pod for primary metabolism. From pod set until maturity, the decrease in N might be due to carbon accumulation in the pods …”

Section: Resultsmentioning

confidence: 99%

Determination of optimum harvest maturity and non‐destructive evaluation of pod development and maturity in cacao (Theobroma cacao L.) using a multiparametric fluorescence sensor

et al. 2018

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Cacao pods harvested at months 4 and 5 can be considered as commercially-ready as the beans have developed good quality and comply with the Malaysian standard on cacao bean specification. Thus, cacao pods can be harvested earlier when they reach maturity at month 4 after pod emergence to avoid germinated beans and over fermentation in ripe pods harvested at month 5. © 2018 Society of Chemical Industry.

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“…Nitrogen was taken up continuously by the pod for primary metabolism. From pod set until maturity, the decrease in N might be due to carbon accumulation in the pods …”

Section: Resultsmentioning

confidence: 99%

Determination of optimum harvest maturity and non‐destructive evaluation of pod development and maturity in cacao (Theobroma cacao L.) using a multiparametric fluorescence sensor

et al. 2018

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“…The vertical gradient of N in the plant was an emergent property of CN-Wheat that did not require the use of concepts derived from optimization theory or a co-distribution with the light profile (Chen et al, 1993;Hirose, 2005;Prieto et al, 2012). In the present model, N input in photosynthetic organs is related to nitrate import through the transpiration stream, which depends on light absorption.…”

Section: Discussionmentioning

confidence: 95%

CN-Wheat, a functional–structural model of carbon and nitrogen metabolism in wheat culms after anthesis. II. Model evaluation

Barillot

Chambon

Andrieu

2016

Ann Bot

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Background and Aims Simulating resource allocation in crops requires an integrated view of plant functioning and the formalization of interactions between carbon (C) and nitrogen (N) metabolisms. This study evaluates the functional-structural model CN-Wheat developed for winter wheat after anthesis.Methods In CN-Wheat the acquisition and allocation of resources between photosynthetic organs, roots and grains are emergent properties of sink and source activities and transfers of mobile metabolites. CN-Wheat was calibrated for field plants under three N fertilizations at anthesis. Model parameters were taken from the literature or calibrated on the experimental data. Key Results The model was able to predict the temporal variations and the distribution of resources in the culm. Thus, CN-Wheat accurately predicted the post-anthesis kinetics of dry masses and N content of photosynthetic organs and grains in response to N fertilization. In our simulations, when soil nitrates were non-limiting, N in grains was ultimately determined by availability of C for root activity. Dry matter accumulation in grains was mostly affected by photosynthetic organ lifespan, which was regulated by protein turnover and C-regulated root activity.Conclusions The present study illustrates that the hypotheses implemented in the model were able to predict realistic dynamics and spatial patterns of C and N. CN-Wheat provided insights into the interplay of C and N metabolism and how the depletion of mobile metabolites due to grain filling ultimately results in the cessation of resource capture. This enabled us to identify processes that limit grain mass and protein content and are potential targets for plant breeding.

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“…Indeed, much intra‐canopy variability in leaf functioning can be explained by variation in light availability (Prieto et al . ).…”

Section: Discussionmentioning

confidence: 97%

Assessing the causes and scales of the leaf economics spectrum using venation networks in Populus tremuloides

2013

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Summary The leaf economics spectrum (LES) describes global interspecific correlations between leaf traits.Despite recent theoretical advances, the biological scale at which LES correlations emerge and the physiological and climatic causes of these correlations remains partially unknown. 2. Here, we test an extant theory based on universal trade-offs in leaf venation networks that predicts that (i) the LES primarily originates within individuals; (ii) minor vein density drives LES trait correlations; and (iii) between individuals, LES correlations reflects variation in minor vein density driven by water availability. To test these predictions, we sample leaves within and between clones of Populus tremuloides across a wide climate gradient. 3. We show that predictions i) and iii) are supported but ii) is only partially supported. To account for this discrepancy, we develop a more general venation theory. This theory describes linkages between vein density, leaf area and leaf thickness that can modulate LES correlations across scales. This theory helps to identify multiple selective pressures that can drive trait covariation underlying the LES. 4. Synthesis. Our results broaden the range of biological scales at which the leaf economics spectrum (LES) is found and highlight the complex causal roles of venation networks in LES correlations. This study points to the need to better understand the coupling between venation networks, leaf size and climate to fully understand the LES.

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A leaf gas exchange model that accounts for intra‐canopy variability by considering leaf nitrogen content and local acclimation to radiation in grapevine (Vitis vinifera L.)

Cited by 74 publications

References 76 publications

Determination of optimum harvest maturity and non‐destructive evaluation of pod development and maturity in cacao (Theobroma cacao L.) using a multiparametric fluorescence sensor

Determination of optimum harvest maturity and non‐destructive evaluation of pod development and maturity in cacao (Theobroma cacao L.) using a multiparametric fluorescence sensor

CN-Wheat, a functional–structural model of carbon and nitrogen metabolism in wheat culms after anthesis. II. Model evaluation

Assessing the causes and scales of the leaf economics spectrum using venation networks in Populus tremuloides

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