IJAER

International Journal of Agriculture and Environmental Research™

ISSN 2455-6939

Title:
EVALUATING TWO NON-LINEAR REGRESSION MODELS IN WINTER CEREALS LEAF AREA GROWTH

Authors:
M. Etesami, A. Biabani , A. Rahemi Karizaki

Abstract:
In the present research, two models evaluated seven winter cereals leaf area variation pattern in 2013/2014/2015 growing season in Iran. Bread wheat, durum wheat, barley include two-rowed barley, six-rowed and hull less barley, oat and triticale were investigated at two nitrogen fertilizer application rates, zero and optimum in a factorial completely randomized block design with four replications. Two logistic and beta models have been fitted to field data. The results showed that leaf area variation pattern has been described very well by both models logistic and beta. According to R2 , RMSE value and models coefficients, Logistic model can be introduced as the suitable model for describing the leaf area pattern variations.

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