MODELING CROP GROWTH AND BIOMASS PARTITIONING TO SHOOTS AND ROOTS IN RELATION TO NITROGEN AND WATER AVAILABILITY, USING A MAXIMIZATION PRINCIPLE .1. MODEL DESCRIPTION AND VALIDATION
J. Kleemola et al., MODELING CROP GROWTH AND BIOMASS PARTITIONING TO SHOOTS AND ROOTS IN RELATION TO NITROGEN AND WATER AVAILABILITY, USING A MAXIMIZATION PRINCIPLE .1. MODEL DESCRIPTION AND VALIDATION, Plant and soil, 185(1), 1996, pp. 101-111
Many crop models relate the allocation of dry matter between shoots an
d roots exclusively to the crop development stage. Such models may not
take into account the effects of changes in environment on allocation
, unless the allocation parameters are altered. In this paper a crop m
odel with a dynamic allocation parameter for dry matter between shoots
and roots is described. The basis of the model is that a plant alloca
tes dry matter such that its growth is maximized. Consequently, the de
mand and supply of carbon, nitrogen, and water is maintained in balanc
e. This model supports the hypothesis that a functional equilibrium ex
ists between shoots and roots. This paper explains the mathematical co
mputation procedure of the crop model. Moreover, an analysis was made
of the ability of a crop model to simulate plant dry matter production
and allocation of dry matter between plant organs. The model was test
ed using data from a greenhouse experiment in which spring wheat (Trit
icum aestivum L.) was grown under different soil moisture and nitrogen
(N) levels. Generally, the model simulations agreed well with data re
corded for total plant dry,matter. For validation data the coefficient
of determination (r(2)) between simulated and measured shoot dry weig
ht was 0.96. For the validation treatments r(2) was slightly lower, 0.
94. In addition to dry matter production the model succeeded satisfact
orily in simulating the dry weight of different plant organs. The resp
onse of simulated root to shoot ratio to the level of soil moisture wa
s mainly in accordance with the measured data. In contrast, the simula
ted ratio seemed to be insensitive to the changes in the levels soil N
concentration used in the experiment. The data used in the present st
udy were not extensive, and more data are needed to validate the model
. However, the results showed that the model responses to the changes
in soil N and water level were realistic and mostly agreed with the da
ta. Thus, we suggest that the model and the method employed to allocat
e dry matter between roots and shoots are useful when modelling the gr
owth of crops under N and water limited conditions.