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

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Int. J. Agron. Agri. R.

International Journal of Agronomy and Agricultural Research (IJAAR) ISSN: 2223-7054 (Print) 2225-3610 (Online) http://www.innspub.net Vol. 11, No. 1, p. 98-102, 2017 OPEN ACCES

RESEARCH PAPER

Comparative study of some non-linear dry matter models in winter cereals Maral Etesami*1, Abbas Biabani 2, Ali Rahemi Karizaki2 Department of Research Center, Western Triangle Agricultural Research Center,

1

Montana State University, USA Department of Plant Production, Gonbad-e-Kavous University, Iran

2

Article published on July 31, 2017 Key words: Dry biomass, Growth, Model, Wheat

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 (sixrowed, 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 R MSE 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. * Corresponding

Etesami et al.

Author: Maral Etesami  ml_etesami@yahoo.com

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