Plant Growth Models

Reffye, Philippe de; Heuvelink, E.; Barthélémy, Daniel; Cournède, Paul-Henry

doi:10.1016/b978-008045405-4.00217-2

Cited by 29 publications

(20 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Sinks are demands for biomass of all living organs [20]. For the sake of simplicity, we consider that all sinks have access to all sources, this hypothesis is that of the common pool of biomass and is shown to be relevant for small plants [14]. However, this hypothesis is not fundamental and could be relaxed.…”

Section: The Example Of Source-sink Modelsmentioning

confidence: 99%

Some Parameter Estimation Issues in Functional-Structural Plant Modelling

Cournède¹,

Letort²,

Mathieu³

et al. 2011

Math. Model. Nat. Phenom.

Self Cite

View full text Add to dashboard Cite

Abstract. The development of functional-structural plant models has opened interesting perspectives for a better understanding of plant growth as well as for potential applications in breeding or decision aid in farm management. Parameterization of such models is however a difficult issue due to the complexity of the involved biological processes and the interactions between these processes. The estimation of parameters from experimental data by inverse methods is thus a crucial step. This paper presents some results and discussions as first steps towards the construction of a general framework for the parametric estimation of functional-structural plant models. A general family of models of Carbon allocation formalized as dynamic systems serves as the basis for our study. An adaptation of the 2-stage Aitken estimator to this family of model is introduced as well as its numerical implementation, and applied in two different situations: first a morphogenetic model of sugar beet growth with simple plant structure, multi-stage and detailed observations, and second a tree growth model characterized by sparse observations and strong interactions between functioning and organogenesis. The proposed estimation method appears robust, easy to adapt to a wide variety of models, and generally provides a satisfactory goodness-of-fit. However, it does * Corresponding author. E-mail: paul-henry.cournede@ecp. Some parameter estimation issues in plant growth modelling not allow a proper evaluation of estimation uncertainty. Finally some perspectives opened by the theory of hidden models are discussed.

show abstract

Section: The Example Of Source-sink Modelsmentioning

confidence: 99%

Some Parameter Estimation Issues in Functional-Structural Plant Modelling

Cournède¹,

Letort²,

Mathieu³

et al. 2011

Math. Model. Nat. Phenom.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The architectural development of plant is described as a sequence of growth unit appearances as well as the expansion of the organs constituting the growth units ( [4], [2]). Generally for crops, the thermal time elapsing between successive appearances of phytomers can be considered as constant and is called phyllochron ( [23]).…”

Section: Organogenesis and Demandmentioning

confidence: 99%

“…GreenLab is a functional-structural model which gives a fine description of plant growth at organ level ( [4]). PILOTE predicts empirically crop yield according to the Leaf Area Index (LAI) evolution, where LAI is adjusted by a water stress index computed with a submodel of soil water balance ( [18], [10]).…”

Section: Introductionmentioning

confidence: 99%

Irrigation Optimization by Modeling of Plant-Soil Interaction

Li¹,

Cournède²,

Mailhol³

2011

Applied Simulation and Modelling

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

“…Growth cycles are defined by the appearance of new architectural growth units ( [11]). A growth unit is composed of a determined number of different types of organs that we suppose given by an organogenesis model not described here (see for example [6]).…”

Section: Calendar Time Versus Thermal Timementioning

confidence: 99%

Towards a Continuous Approach of Functional-Structural Plant Growth

Chevalier

Cournède

2009

2009 Third International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications

View full text Add to dashboard Cite

We propose in this article a continuous approach to model functional-structural plant growth based on the discrete GreenLab model. The continuous dynamics is driven by a system of differential equations with respect to calendar time, with a continuous mechanism of senescence introducing delay terms. A numerical scheme for solving the system is studied, and applied to sugar beet to compare different approximation methods including the classical discrete model. With a higher precision, the simulation based on the continuous approach reveal significant differences with the discrete model. Moreover, an approximation of the continuous model is derived with a daily time step, which makes it suitable for agronomy applications.

show abstract

Plant Growth Models

Cited by 29 publications

References 8 publications

Some Parameter Estimation Issues in Functional-Structural Plant Modelling

Some Parameter Estimation Issues in Functional-Structural Plant Modelling

Irrigation Optimization by Modeling of Plant-Soil Interaction

Towards a Continuous Approach of Functional-Structural Plant Growth

Contact Info

Product

Resources

About