Towards a Continuous Approach of Functional-Structural Plant Growth

Li, Zhongping; Chevalier, Vincent Le; Cournède, Paul-Henry

doi:10.1109/pma.2009.69

Cited by 6 publications

(7 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…SUNLAB inherits the ecophysiological merits of SUNFLO that have been validated in different environmental conditions for 26 genotypes Lecoeur et al, 2011). In contrast, GREENLAB over-simplifies a number of processes, such as photosynthesis and assimilate conversion to biomass (Guo et al, 2006;Ma et al, 2008), and it is still in its preliminary stage to include water source influence and root system (Li et al, 2009). The ability of this newly developed SUNLAB model to reproduce observed data of sunflower growth was evaluated on four genotypes "Albena", "Melody", "Heliasol" and "Prodisol".…”

Section: Summary Of Resultsmentioning

confidence: 99%

SUNLAB: A functional–structural model for genotypic and phenotypic characterization of the sunflower crop

Kang

Cournède

Lecœur

et al. 2014

Ecological Modelling

Self Cite

View full text Add to dashboard Cite

Please cite this article in press as: Kang, F., et al., SUNLAB: A functional-structural model for genotypic and phenotypic characterization of the sunflower crop. Ecol. Model. (2014), http://dx. a b s t r a c tA new functional-structural model SUNLAB for the crop sunflower (Helianthus annuus L.) was developed. It is dedicated to simulate the sunflower organogenesis, morphogenesis, biomass accumulation and biomass partitioning to organs. It is adapted to model phenotypic responses of different genotypic variants to diverse environmental factors including temperature stress and water deficit. A sensitivity analysis was conducted to quantify the relative parameter influences on the main trait of interest, the grain yield. The model was calibrated for four genotypes on two experimental datasets collected on plants grown under standard non-limiting conditions and moderate water stress. Its predictive ability was then tested on an additional dataset. The four considered genotypes -"Albena", "Melody", "Heliasol" and "Prodisol" -are the products of more than 30 years of breeding effort. Comparing the values found for the four parameter sets associated to each variant, allows to identify genotype-specific parameters. The model also provides a novel way of investigating genotype performances under different environmental conditions. These promising results are a first step toward the potential use of the model as a support tool to design sunflower ideotypes adapted to the current worldwide ecological and economical challenges and to assist the breeding procedure.

show abstract

Section: Summary Of Resultsmentioning

confidence: 99%

SUNLAB: A functional–structural model for genotypic and phenotypic characterization of the sunflower crop

Kang

Cournède

Lecœur

et al. 2014

Ecological Modelling

Self Cite

View full text Add to dashboard Cite

show abstract

“…This continuous version of Greenlab was used throughout the article. A continuous version of the GreenLab model has already been studied by [17] in the case of sugar beet, but with a continuous mechanism of senescence.…”

Section: A Description Of the Modelsmentioning

confidence: 99%

Evaluation of the predictive capacity of five plant growth models for sugar beet

Baey

Cournède

et al. 2012

2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications

View full text Add to dashboard Cite

Abstract-A lot of plant growth models coexist, with different modelling approaches and levels of complexity. In the case of sugar beet, many of them are used as predictive tools, even when they were not originally designed for this purpose.We propose the evaluation and comparison of five plant growth models that rely on the same energetic production of biomass, but with different levels of description (per plant or per square meter) and different biomass repartition (empirical or via allocation): Greenlab, LNAS, CERES, PILOTE and STICS. The models were calibrated on a first set of data, and their predictive capacities were compared on an independent data set from the same variety and similar environmental conditions, using the root mean squared error of prediction (RMSEP) and modelling efficiency (EF) for the total dry matter production and the dry matter of root.All the models tended to overestimate both the total dry matter and the dry matter of root. Greenlab gave the best predictions for the root biomass, and CERES the best total biomass predictions. The overestimation was partly explained by a hail episode that caused a lot of damages to the leaves in the validation year. The five models also provided similar yield prediction errors.

show abstract

“…To describe the functional plant development, we use the continuous version of GreenLab model which is suitable for integrating environmental variables( [13]). The choice of time unit is crucial to describe the interaction of plant growth with the environment.…”

Section: Greenlabmentioning

confidence: 99%

“…We may solve this delay system interval after interval by using the Euler's method with a constant time step for example ( [1], [13]). …”

Section: A Delay Systemmentioning

confidence: 99%

See 1 more Smart Citation

Irrigation Optimization by Modeling of Plant-Soil Interaction

Li¹,

Cournède²,

Mailhol³

2011

Applied Simulation and Modelling

Self Cite

View full text Add to dashboard Cite

Irrigation scheduling is an important issue for crop management, in a general context of limited water resources and increasing concern about agricultural productivity. Methods to optimize crop irrigation should take into account the impact of water stress on plant growth and the water balance in the plant-soil-atmosphere system. In this article, we propose a methodology to solve the irrigation scheduling problem. For this purpose, a plant-soil interaction model is used to simulate the structural-functional plant growth conditioned by water status. The system dynamics is driven by a delay differential system. By considering a price for the crop yield and for the water resource, an optimal control problem can be formulated in order to find the optimal irrigation strategy. The solution is obtained by dynamic programming. In order to handle the delay term of the system due to the continuous mechanism of plant senescence and the curse of dimensionality, the iterative approach of dynamic programming is used.

show abstract

Towards a Continuous Approach of Functional-Structural Plant Growth

Cited by 6 publications

References 16 publications

SUNLAB: A functional–structural model for genotypic and phenotypic characterization of the sunflower crop

SUNLAB: A functional–structural model for genotypic and phenotypic characterization of the sunflower crop

Evaluation of the predictive capacity of five plant growth models for sugar beet

Irrigation Optimization by Modeling of Plant-Soil Interaction

Contact Info

Product

Resources

About