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dc.contributor.authorKaradavut, Ufuk
dc.contributor.authorPalta, Çetin
dc.contributor.authorKökten, Kağan
dc.contributor.authorBakoğlu, Adil
dc.date.accessioned2014-11-19T06:25:54Z
dc.date.available2014-11-19T06:25:54Z
dc.date.issued2010-02-01
dc.identifier.issn1814-9596
dc.identifier.urihttp://hdl.handle.net/11472/479
dc.description.abstractThis 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 Publisherstr_TR
dc.language.isoengtr_TR
dc.publisherInternational Journal of Agriculture & Biologytr_TR
dc.subjectComparisontr_TR
dc.subjectGrowth modelstr_TR
dc.subjectMaize cultivartr_TR
dc.subjectLeaftr_TR
dc.titleComparative study on some non-linear growth models for describing leaf growth of Maizetr_TR
dc.typeArticletr_TR


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