By: Maral Etesami
Abstract
Approach to plant growth modeling, despite differences in patterns, is a valuable method to quantitative analysis. In the present study, several non-linear models have evaluated the growth pattern of winter cereals dry matter during two growing seasons. Therefore, Logistic, Gompertz, Richards, Weibull, Truncated-Expolinear, Symetrical-Expolinear and two Beta models used to evaluation wheat (bread wheat and durum), barley (six-rowed, two-rowed and hull less barley), triticale and oat dry matter variation. Result showed that dry matter of winter cereals have been described very well by all models. 
Considering RMSE and R2 among the models, Gompertz, Truncated-Expolinear, logistic, Symmetrical-Expolinear, Richards and Beta1 can be introduced as most suitable models for describing winter cereals dry matter pattern in growing season.
Author Information:
Maral Etesami, Abbas Biabani, Ali Rahemi Karizaki
Department of Research Center, Western Triangle Agricultural Research Center, Montana State University, USA
Department of Plant Production, Gonbad-e-Kavous University, Iran
Key words: Dry biomass, Growth, Model, Wheat.
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