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

dc.contributor.author	Karadavut, Ufuk
dc.contributor.author	Palta, Çetin
dc.contributor.author	Kökten, Kağan
dc.contributor.author	Bakoğlu, Adil
dc.date.accessioned	2014-11-19T06:25:54Z
dc.date.available	2014-11-19T06:25:54Z
dc.date.issued	2010-02-01
dc.identifier.issn	1814-9596
dc.identifier.uri	http://hdl.handle.net/11472/479
dc.description.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. © 2010 Friends Science Publishers	tr_TR
dc.language.iso	eng	tr_TR
dc.publisher	International Journal of Agriculture & Biology	tr_TR
dc.subject	Comparison	tr_TR
dc.subject	Growth models	tr_TR
dc.subject	Maize cultivar	tr_TR
dc.subject	Leaf	tr_TR
dc.title	Comparative study on some non-linear growth models for describing leaf growth of Maize	tr_TR
dc.type	Article	tr_TR