Senesc-Wheat User Guide#
Introduction#
- Senesc-Wheat simulates leaf senescence according to :
the ratio between the amount of proteins in the leaf at a given timestep and the maximal protein amount recorded in that leaf. When the ratio drops below a threshold, the senescence is triggered. The dynamics of N is provided by CN-Wheat.
a maximal age of the leaf. Leaf age is expressed in time compsensated for the effects of temperature.
When the senescence is triggered, a small fraction of the leaf dies, reducing its green area. A fixed proportion of C-N metabolites are remobilised from the death to living tissues. Root senescence is assumed to occur only after flor l transition.
Inputs of Senesc-Wheat#
dimensions, green area, structural masses of each shoot organ
amounts of C and N metabolites of each shoot organs
structural mass and C -N metabolites for the root compartment
Outputs of Senesc-Wheat#
Updated structural masses, green areas, dimensions and C-N amounts
Package architecture#
Senesc-Wheat is a Python package which consists of several Python modules:
openalea.senescwheat.model: the state and the equations of the model,openalea.senescwheat.parameters: the parameters of the model,openalea.senescwheat.simulation: the simulator (front-end) to run the model,and
openalea.senescwheat.converter: functions to convert Senesc-Wheat inputs/outputs to/from Pandas dataframes.