Applicability of the Af Rcwheat2 Wheat Growth Simulation Model in Hungary

Abstract

Harnos: Applicability of the AFRCWHEAT2 wheat growth simulation model in Abstract. The aim of the present work was to determine the applicability of the AFRCWHEAT2 wheat growth model under Hungarian conditions. The Farquhar model, which, when properly calibrated, gives a satisfactory description of the net photosynthesis of Hungarian winter wheat varieties at various atmospheric CO 2 concentrations, temperatures and light conditions, was incorporated into the model. Both the original AFRCWHEAT2 model and the modified AF2MOD model were tested on long-term yield and climatic data series from Győr-Moson-Sopron County. It was observed that the average yield over the period 1980-1990 was well simulated by both models, but the AF2MOD simulated the annual fluctuations much better: the determination coefficients describing the correlation between the actual wheat yield in Győr-Moson-Sopron county over the whole period and the values generated using the models were r² = 0.32 for the AFRCWHEAT2 model and r² = 0.86 for AF2MOD.A comparison of the results simulated using the AFRCWHEAT2 and AF2MOD models demonstrated that detailed physiological submodels are required for the mathematical description of plant growth if yields are to be accurately estimated and the effects of environmental changes adequately described. A good example of this is the description of the effect of atmospheric CO 2 concentration on simulated yield figures, which depended on the climate of the given year in the AF2MOD model, but was described by a simple linear function in the AFRCWHEAT2 model.

Simulation of Soybean Growth under Sowing Date Management by CROPGRO Model

“…Suitable predicting of Soybean biomass in different sowing date showed that this traits in this model could be predicted well dry matter production in basis of uptake of sun radiation by plants green cover, maximum and minimum temperature, in potential growth condition. According to Harnos (2006), CROPGRO-Soybean model could be predicted well biomass in 9 different zones, variation dimension of R 2 obtained to 0.98-0.95.…”

Develop Wheat Growth Model Multi-agent System with Mase Method

“…Plant growth models with various degrees of complexity have been elaborated for the use of plant growers and breeders, ranging from simple statistical regression models to models with a complicated mechanism, capable of simulating anything from a simple process to the behavior of the whole plant (Harnos, 2006). In addition to experimental research, many scientists also use simulation models to gain a better understanding and description of environmental stress effects, such as high temperature, drought stress, and their effects on the development and yield of plants grown at elevated atmospheric CO 2 concentration.…”