WOFOST-GTC: a new model for the simulation of winter rapeseed production and oil quality.

Rapeseed is one of the most important sources of vegetable oils, and its cultivation in Europe is expanding
due to the economic incentives to grow energy crops. Given the unique characteristics of this crop,
simulation studies targeting yield predictions and scenario analysis should be performed using specific
models rather than using generic crop simulators adapted to rapeseed via calibration. This study presents
a new model – WOFOST-GTC – which implements a dynamic representation of the rapeseed canopy
architecture and includes modelling approaches to simulate oil content and composition. We reduced
the number of model parameters to 35, compared to the 97 parameters of the original WOFOST model,
from which it derives. WOFOST-GTC was developed using data collected in dedicated field experiments
carried out in northern Italy in 2012–2013. The model ability to reproduce the underlying processes was
evaluated using data collected in Europe between 1993 and 2013. In particular, dynamics involved with
production and oil quality were evaluated on 7 and 18 datasets, respectively. The aboveground biomass
and photosynthetic area index at different depths in the canopy were accurately simulated (R2 = 0.86 and
0.78, respectively). Despite the lower complexity, WOFOST-GTC proved to be as accurate as the original
WOFOST model. The simulation of the seed oil content (R2 = 0.76) and of the oleic (R2 = 0.95), linoleic
(R2 = 0.88) and -linolenic acid (R2 = 0.95) fractions was accurate. Hence, we propose WOFOST-GTC as a
suitable simulation model to analyse the rapeseed production and oil quality under different weather
and management scenarios.