Analysis of Dry Matter Accumulation Using Some Mathematical Growth Models in Silage and Seed Corns

Abstract

This study was carried out at Bahri Dagdas International Agricultural Research Institute's experimental areas. C 955 and DK 585 were used as material. Richards, Gaussian and Logistic growth models were used for describing plants growth. Coefficient of determination (R-2), mean squared error (MSE), model efficiency (ME), mean rational error (MRE), mean squared variation (MSV) and Bias were used as comparison criteria. As results, Richards model described dry matter accumulation of silage and seeds corns better than Gaussian and Logistic growth models. Logistic growth equation described dry matter accumulation of silage and seeds corns worse than others growth.