The Winter Wheat Dynamic Model, a toy model to illustrate the main multisensi methods

1 | ```
biomasse(input, climdata, annee = 3)
``` |

`input` |
vector of input values. |

`annee` |
year. |

`climdata` |
a meteorological data.frame specific to biomasse. |

The Winter Wheat Dry Matter model (WWDM) is a dynamic crop model
running at a daily time step (Makowski et al, 2004). It has two state
variables, the above-ground winter wheat dry matter *U(t)*, in *g/m^2*
and the leaf area index LAI(*t*) with *t* the day number from sowing
(*t=1*) to harvest (*t=223*). In the multisensi package implementation, the
`biomasse`

function simulates the output for only one parameter set (the
first row of `input`

if it is a matrix or a data.frame).

a vector of daily dry matter increase of the Winter Wheat biomass, over 223 days

initially Makowski, D., 2004

Makowski, D., Jeuffroy, M.-H., Gu\'erif, M., 2004 Bayesian methods for updating crop model predictions, applications for predicting biomass and grain protein content. In: Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain (van Boeakel et al. eds), pp. 57-68. Kluwer, Dordrecht

Monod, H., Naud, C., Makowski, D., 2006 Uncertainty and sensitivity analysis for crop models. In: Working with Dynamic Crop Models (Wallach D., Makowski D. and Jones J. eds), pp. 55-100. Elsevier, Amsterdam

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