Comparative Study on Some Non-linear Growth Models Describing Leaf Growth of Maize
INTERNATIONAL JOURNAL OF AGRICULTURE AND BIOLOGY, cilt.12, sa.2, ss.227-230, 2010 (SCI-Expanded, Scopus)
- 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
- Anahtar Kelimeler: Comparison, Growth models, Maize cultivar, Leaf, AREA DEVELOPMENT
- Recep Tayyip Erdoğan 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