Empirical statistical model for predicting wood properties of Paulownia fortunie: Part 1: Physical and biometrical properties
This paper describes the development of model to predict the within-tree variation of wood density, shrinkage, fiber length, fiber diameter and cell wall thickness from pith-to-bark and bottom-to-top, using data collected from a 13-year-old paulownia (Paulownia fortunie) stand where trees were plant...
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Universidad del Bío-Bío
2015
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oai:scielo:S0718-221X20150004000202016-10-25Empirical statistical model for predicting wood properties of Paulownia fortunie: Part 1: Physical and biometrical propertiesKord,BehzadHassankhani,MehdiPourpasha,Mohammad Mehdi Density fiber length Paulownia fortunie shrinkage within-tree variation This paper describes the development of model to predict the within-tree variation of wood density, shrinkage, fiber length, fiber diameter and cell wall thickness from pith-to-bark and bottom-to-top, using data collected from a 13-year-old paulownia (Paulownia fortunie) stand where trees were planted in an experimental plantation in Iran. The sample disks were taken from each tree to examine the wood density, shrinkage, fiber length, fiber diameter and cell wall thickness variation from pith to bark at 5, 25, 50 and 75% of the total tree height. The study was laid out in a randomized complete block design. Linear prediction model were developed using longitudinal direction (bottom-to-top) and radial direction (pith-to-bark) indices as explanatory variables. The results indicated that, the wood density, shrinkage, fiber length, fiber diameter and cell wall thickness, considerably changes from pith to bark and from the base upwards. Based on the final model, it was found that the physical and biometrical properties were significantly influenced by longitudinal and radial directions. The model equation were based on the model used to describe the within-tree variation in the wood density, shrinkage, fiber length, fiber diameter and cell wall thickness of Paulownia, and is functions of radial and longitudinal directions.info:eu-repo/semantics/openAccessUniversidad del Bío-BíoMaderas. Ciencia y tecnología v.17 n.4 20152015-10-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-221X2015000400020en10.4067/S0718-221X2015005000080 |
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Density fiber length Paulownia fortunie shrinkage within-tree variation |
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Density fiber length Paulownia fortunie shrinkage within-tree variation Kord,Behzad Hassankhani,Mehdi Pourpasha,Mohammad Mehdi Empirical statistical model for predicting wood properties of Paulownia fortunie: Part 1: Physical and biometrical properties |
description |
This paper describes the development of model to predict the within-tree variation of wood density, shrinkage, fiber length, fiber diameter and cell wall thickness from pith-to-bark and bottom-to-top, using data collected from a 13-year-old paulownia (Paulownia fortunie) stand where trees were planted in an experimental plantation in Iran. The sample disks were taken from each tree to examine the wood density, shrinkage, fiber length, fiber diameter and cell wall thickness variation from pith to bark at 5, 25, 50 and 75% of the total tree height. The study was laid out in a randomized complete block design. Linear prediction model were developed using longitudinal direction (bottom-to-top) and radial direction (pith-to-bark) indices as explanatory variables. The results indicated that, the wood density, shrinkage, fiber length, fiber diameter and cell wall thickness, considerably changes from pith to bark and from the base upwards. Based on the final model, it was found that the physical and biometrical properties were significantly influenced by longitudinal and radial directions. The model equation were based on the model used to describe the within-tree variation in the wood density, shrinkage, fiber length, fiber diameter and cell wall thickness of Paulownia, and is functions of radial and longitudinal directions. |
author |
Kord,Behzad Hassankhani,Mehdi Pourpasha,Mohammad Mehdi |
author_facet |
Kord,Behzad Hassankhani,Mehdi Pourpasha,Mohammad Mehdi |
author_sort |
Kord,Behzad |
title |
Empirical statistical model for predicting wood properties of Paulownia fortunie: Part 1: Physical and biometrical properties |
title_short |
Empirical statistical model for predicting wood properties of Paulownia fortunie: Part 1: Physical and biometrical properties |
title_full |
Empirical statistical model for predicting wood properties of Paulownia fortunie: Part 1: Physical and biometrical properties |
title_fullStr |
Empirical statistical model for predicting wood properties of Paulownia fortunie: Part 1: Physical and biometrical properties |
title_full_unstemmed |
Empirical statistical model for predicting wood properties of Paulownia fortunie: Part 1: Physical and biometrical properties |
title_sort |
empirical statistical model for predicting wood properties of paulownia fortunie: part 1: physical and biometrical properties |
publisher |
Universidad del Bío-Bío |
publishDate |
2015 |
url |
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-221X2015000400020 |
work_keys_str_mv |
AT kordbehzad empiricalstatisticalmodelforpredictingwoodpropertiesofpaulowniafortuniepart1physicalandbiometricalproperties AT hassankhanimehdi empiricalstatisticalmodelforpredictingwoodpropertiesofpaulowniafortuniepart1physicalandbiometricalproperties AT pourpashamohammadmehdi empiricalstatisticalmodelforpredictingwoodpropertiesofpaulowniafortuniepart1physicalandbiometricalproperties |
_version_ |
1714202608707567616 |