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metadata.revistascielo.dc.creator: Mendonça, Adriano Ribeiro de
Calegario, Natalino
Silva, Gilson Fernandes da
Souza, Agostinho Lopes de
Trugilho, Paulo Fernando
Carvalho, Samuel Pádua Chaves e
Possato, Ernani Lopes
metadata.revistascielo.dc.subject: Probability models, covariates, multi-products.
metadata.revistascielo.dc.publisher: CERNE
CERNE 7-Apr-2016
metadata.revistascielo.dc.description: The aim of this study was to evaluate models to estimate the assortment yield of clonal Eucalyptus camaldulensis x Eucalyptus urophylla hybrid plantations with 3 x 3 m spacing in the Paraopeba city, Minas Gerais, Brazil. To estimate basal area and volume of the assortment yield data from permanent plots was used. To estimate the volume of assortments, we analyzed the logistic model with covariates and the Clutter model. The statistical standard error [Syx (%)], bias (V), average of the differences (MD), and standard deviation of the differences (DPD), as well as the graphical analysis of the residuals were used to select the most accurate model. According to the analysis, the Logistic model obtained the best results for estimation of the yield in wood volume for energy and pulpwood. The methodology to estimate assortment of forest plantations was considered easy to use and accurate.
metadata.revistascielo.dc.language: eng
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