scholarly journals The Attempt of Wood Quality Evaluation by Non-destructive Method of Standing Trees in Sakhalin Fir (Abies sachalinensis) Plus-tree Cloness.

2010 ◽  
Vol 92 (1) ◽  
pp. 35-40
Author(s):  
Taiichi Iki ◽  
Akira Tamura ◽  
Akihiko Sato ◽  
Yoshihiro Tsujiyama ◽  
Kazuya Iizuka
Keyword(s):  
Quality Evaluation ◽  
Wood Quality ◽  
Abies Sachalinensis ◽  
Standing Trees ◽  
Plus Tree ◽  
Non Destructive

scholarly journals Genetic analysis using parent-progeny relationship for wood quality traits in Norway spruce (Picea abies (L.) Karst.)

2018 ◽  
Author(s):  
Linghua Zhou ◽  
Zhiqiang Chen ◽  
Sven-Olof Lindqvist ◽  
Lars Olsson ◽  
Thomas Grahn ◽  
...  
Keyword(s):  
Management Practices ◽  
Wood Quality ◽  
Breeding Values ◽  
Standing Trees ◽  
Two Generations ◽  
Wood Traits ◽  
Plus Tree ◽  
Experimental Errors ◽  
Progeny Size ◽  
Heritability Estimates

AbstractTwo-generations pedigree involving 524 plus trees and their open-pollinated (OP) progenies were jointly studied to estimate parent-progeny correlation and heritability. Three wood traits (wood density, MFA, and MOE) were determined by SilviS-can in one ramet per plus tree and 12 OP progenies. Three ramets per plus tree and 12 OP were also measured with two indirect methods, Pilodyn and Hitman. The overall correlation between OP-based breeding values and plus tree-based phenotypes was low to moderate for all traits. The correlations between the phenotypic values of the mother trees and the breeding values estimated on their half-sib pro-genies are low to moderate. Reasons for this may be experimental errors in progeny trials and lack of experimental design in archives, contributing to the parent and progeny correlation. The management practices in the archive may contribute more to such low correlation. Offspring progeny heritability estimates based on SilviScan measurements were higher than parent-offspring regression using one single ramet from the archive. Moreover, when three ramets were measured the parent-offspring regression heritability estimates were higher than those based solely on progeny data for the Pilodyn and Hitman on the standing trees. The standard error of the heritability estimates decreased with increasing progeny size.

scholarly journals Acoustic evaluation of wood quality with a non-destructive method in standing trees: a first survey in Italy

2017 ◽  
Vol 10 (4) ◽  
pp. 700-706 ◽  
Author(s):  
AR Proto ◽  
G Macrì ◽  
V Bernardini ◽  
D Russo ◽  
G Zimbalatti
Keyword(s):  
Wood Quality ◽  
Standing Trees ◽  
Acoustic Evaluation ◽  
Non Destructive

scholarly journals Non-Destructive Assessment of Wood Stiffness in Scots Pine (Pinus sylvestris L.) and its Use in Forest Tree Improvement

Forests ◽  
2019 ◽  
Vol 10 (6) ◽  
pp. 491 ◽  
Author(s):  
Irena Fundova ◽  
Tomas Funda ◽  
Harry X. Wu
Keyword(s):  
Scots Pine ◽  
Growth Traits ◽  
Wood Quality ◽  
Genetic Correlations ◽  
Forest Tree ◽  
Wood Stiffness ◽  
Standing Trees ◽  
Genetic And Phenotypic Correlations ◽  
Sib Families ◽  
Using Data

Wood stiffness is an important wood mechanical property that predetermines the suitability of sawn timber for construction purposes. Negative genetic correlations between wood stiffness and growth traits have, however, been reported for many conifer species including Scots pine. It is, therefore, important that breeding programs consider wood stiffness and growth traits simultaneously. The study aims to (1) evaluate different approaches of calculating the dynamic modulus of elasticity (MOE, non-destructively assessed stiffness) using data from X-ray analysis (SilviScan) as a benchmark, (2) estimate genetic parameters, and (3) apply index selection. In total, we non-destructively measured 622 standing trees from 175 full-sib families for acoustic velocity (VEL) using Hitman and for wood density (DEN) using Resistograph and Pilodyn. We combined VEL with different wood densities, raw (DENRES) and adjusted (DENRES.TB) Resistograph density, Pilodyn density measured with (DENPIL) and without bark (DENPIL.B), constant of 1000 kg·m−3 (DENCONST), and SilviScan density (DENSILV), to calculate MOEs and compare them with the benchmark SilviScan MOE (MOESILV). We also derived Smith–Hazel indices for simultaneous improvement of stem diameter (DBH) and wood stiffness. The highest additive genetic and phenotypic correlations of the benchmark MOESILV with the alternative MOE measures (tested) were attained by MOEDENSILV (0.95 and 0.75, respectively) and were closely followed by MOEDENRES.TB (0.91 and 0.70, respectively) and MOEDENCONST and VEL (0.91 and 0.65, respectively for both). Correlations with MOEDENPIL, MOEDENPIL.B, and MOEDENRES were lower. Narrow-sense heritabilities were moderate, ranging from 0.39 (MOESILV) to 0.46 (MOEDENSILV). All indices revealed an opportunity for joint improvement of DBH and MOE. Conclusions: MOEDENRES.TB appears to be the most efficient approach for indirect selection for wood stiffness in Scots pine, although VEL alone and MOEDENCONST have provided very good results too. An index combining DBH and MOEDENRES.TB seems to offer the best compromise for simultaneous improvement of growth, fiber, and wood quality traits.

Crystallinity as a Non-Destructive Indicator of Wood Hardness at Standing Trees

2015 ◽  
Vol 771 ◽  
pp. 232-241 ◽  
Author(s):  
Ratih Damayanti ◽  
Jugo Ilic ◽  
Barbara Ozarska ◽  
Gustan Pari ◽  
Peter Vinden
Keyword(s):  
Large Diameter ◽  
Microfibril Angle ◽  
Degree Of Crystallinity ◽  
Grain Hardness ◽  
Plantation Forest ◽  
Destructive Testing ◽  
Standing Trees ◽  
Sampling Height ◽  
Improvement Programs ◽  
Non Destructive

Wood hardness is an important property for flooring, furniture products and structural utilization. Currently wood hardness can only be measured using destructive testing. As there is no suitable method for predicting wood hardness from standing trees, developing a non-destructive technique to predict wood hardness from plantations trees would provide significant benefits for evaluating optimal silvicultural treatments, and for selecting trees for tree improvement programs. It is proposed initillay that a possible non-destructive test may be developed using „crystallinity“ characteristics (degree of crystallinity (DC), crystalite width (CW) and length (CL) and microfibril angle (MFA)) determined using X-Ray diffraction. The aim of this study was to test the feasibility of using crystallinity as a non-destructive indicator of wood hardness. Experimentally, nine trees were taken representing small, medium and large diameter from five-year old fast growing teak plantation forest in Ciampea, Bogor, Indonesia. Wood hardness and crystallinity were determined following a standard testing regime. The results showed that MFA was negatively related to all hardness directions. Crstallite width only influenced side hardness with negative correlation, while degree of crystallinity only affected the end-grain hardness with positive correlation. Different vertical positions within tree only influenced the end-grain hardness value, while different radial positions had no effect on wood hardness. The optimum sampling height was found to be 80 cm, 130 cm, and 100 cm for radial, tangential and end-grain hardness, respectively. The relationship was based on the height that provided the highest correlation with the whole tree hardness values. Proposed models involving density and „crystallinity“ for predicting wood hardness are presented. While the R2from the proposed models was mostly less than 0.50, however, the approach described provides a new way to predict wood hardness from 10 mm increment cores at standing trees.

Non-destructive quality evaluation of fruit by color based on RGB LEDs system

2014 ◽  
Author(s):  
Ommi Kalsom Mardziah Yahaya ◽  
Mohd Zubir MatJafri ◽  
Azlan Abdul Aziz ◽  
Ahmad Fairuz Omar
Keyword(s):  
Quality Evaluation ◽  
Non Destructive
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