Comparative study on some non-linear growth models for describing leaf growth of maize

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 u...

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Bibliographic Details
Published in:International journal of agriculture and biology 2010-03, Vol.12 (2), p.227-230
Main Authors: Karadavut, U. (University of Bingol (Turkey). Agricultural Faculty), Palta, C. (Konya Soil and Water Sources Research Inst. (Turkey)), Kokten, K. (University of Bingol (Turkey). Agricultural Faculty), Bakoglu, A. (University of Bingol (Turkey). Bingol High School)
Format: Article
Language:English
Subjects:
GROWTH
LEAVES
MATHEMATICAL MODELS
VARIETIES
ZEA MAYS
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Summary: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 ion (R2), 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.
ISSN:1560-8530
1814-9596