MODELING OF HEIGHT Tectona grandis L. f CLONAL AND SEMINAL
Main Article Content
Abstract
This study aimed to evaluate the linear and non-linear modeling to predict the total height of Tectona grandis L.f. trees (teak) in young stands of clonal origin and seminal in the municipality of Figueirópolis D'Oeste, Mato Grosso. Data collection was performed by forest census, at ages 36 and 48 months, and measured the diameter with bark 1.3 m height (dbh) and total height (h) of trees. It were evaluate six regression models subdivided into two categories: linear and non-linear estimation for the total height of teak. The criterion for selection of the models was in accordance with the highest adjusted coefficient of determination, lower standard error of estimate in percentage and graphical analysis of waste. The validation of the equation was made based on the chi-square test, with a significance level of 0.05. The linear models showed to be superior to non-linear for three of the four treatments evaluated. The hypsometric equations were validated and are recommended for estimation of teak tall in similar condition.
Article Details
How to Cite
MOTTA, A. S. da, ALMEIDA, E. J., VENDRUSCOLO, D. G. S., SOUZA, H. S., MEDEIROS, R. A., & SILVA, R. S. da. (2016). MODELING OF HEIGHT Tectona grandis L. f CLONAL AND SEMINAL. Brazilian Journal of Biometrics, 34(3), 395–406. Retrieved from https://biometria.ufla.br/index.php/BBJ/article/view/192
Issue
Section
Articles
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).