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, cilt.12, sa.2, ss.227-230, 2010 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 12 Sayı: 2
  • Basım Tarihi: 2010
  • Dergi Adı: INTERNATIONAL JOURNAL OF AGRICULTURE AND BIOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.227-230
  • Çanakkale Onsekiz Mart Üniversitesi Adresli: Hayır

Özet

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