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 | 2014-10-13T12:07:16Z | |
dc.date.available | 2014-10-13T12:07:16Z | |
dc.date.issued | 2010 | |
dc.identifier.issn | 1560–8530 | |
dc.identifier.uri | http://www.fspublishers.org | |
dc.identifier.uri | http://hdl.handle.net/11472/315 | |
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. | 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 | lea | 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 |
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