Comparative Study on Some Non-linear Growth Models Describing Leaf Growth of Maize


Karadavut U., PALTA C., Kokten K., Bakoglu A.

INTERNATIONAL JOURNAL OF AGRICULTURE AND BIOLOGY, vol.12, no.2, pp.227-230, 2010 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 12 Issue: 2
  • Publication Date: 2010
  • Title of Journal : INTERNATIONAL JOURNAL OF AGRICULTURE AND BIOLOGY
  • Page Numbers: pp.227-230
  • Keywords: Comparison, Growth models, Maize cultivar, Leaf, AREA DEVELOPMENT

Abstract

This research was carried out on five maize cultivars (Monton, Ranchero, Progen 1550,35 P 12 & TTM 81-19) to explain the fitting performance of some nonlinear models (Richards Model, Logistic Model, Weibull Model, MMF Model & Gompertz Model) to leaf data. For model fitting performance, we used four comparison criteria; coefficient of determination ( R 2), sum squares error (SSE), root mean squares error (RMSE) and mean relative error (MRE). The results indicated that Richards, Logistic and Gompertz models are more useful than other non-linear models to estimate leaf growth of maize. (C) 2010 Friends Science Publishers