Given an endeavour of this nature, there will be no unique
modelling solutions, rather different approaches to address this
challenge. White and Hoogenboom [6] used a modified version of a
dry bean (Phaseolus vulgaris L.) simulation model (BEANGRO V1.01)
to incorporate the effects of seven genes on phenology, growth
habit, and seed size. These genes were incorporated into the model by developing linear regression relationships for the cultivar
coefficients based on the presence of a dominant or recessive allele
for each gene using data from 30 cultivars grown at six locations.
Following a similar approach for wheat as for dry bean, White et al.
[7] used a similar linear regression approach in the CSM-CropsimCERES-Wheat model to study the effects of vernalization and photoperiod loci on flowering dates as compared to the conventional method of developing cultivar coefficients. They concluded that this approach “appears feasible, but more extensive genetic
characterization of cultivars is necessary”