Comparative study of some non-linear dry matter models in winter cereals
Paper Details
Comparative study of some non-linear dry matter models in winter cereals
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.
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