Comparative Study on Some Non-linear Growth Models Describing Leaf Growth of Maize

被引：0

作者：

Karadavut, Ufuk ^{[1
]}

Palta, Cetin ^{[2
]}

Kokten, Kagan ^{[1
]}

Bakoglu, Adil ^{[3
]}

机构：

[1] Univ Bingol, Fac Agr, Bingol, Turkey

[2] Konya Soil & Water Sources Res Inst, Konya, Turkey

[3] Univ Bingol, Bingol High Sch, Bingol, Turkey

来源：

INTERNATIONAL JOURNAL OF AGRICULTURE AND BIOLOGY | 2010年 / 12卷 / 02期

关键词：

Comparison; Growth models; Maize cultivar; Leaf; AREA DEVELOPMENT;

D O I：

暂无

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

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

引用

页码：227 / 230

页数：4

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