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 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 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.

Can wood properties be predicted from the morphological traits of a tree? A canonical correlation study of plantation-grown white spruce

2012 ◽  
Vol 42 (8) ◽  
pp. 1518-1529 ◽  
Author(s):  
Patrick Lenz ◽  
Michèle Bernier-Cardou ◽  
John MacKay ◽  
Jean Beaulieu
Keyword(s):  
Value Chain ◽  
Morphological Traits ◽  
Wood Quality ◽  
Microfibril Angle ◽  
Ring Width ◽  
White Spruce ◽  
Correlation Study ◽  
Cell Diameter ◽  
Tree Morphology ◽  
Wood Traits

There is a growing interest in predicting wood quality from tree morphology traits, which can be measured using remote sensing techniques such as LiDAR, to enhance forest inventory for operational planning. In this study, we investigated the correlation structure between these two categories of traits in white spruce (Picea glauca (Moench) Voss) using canonical and multiple regression analyses with the objective of identifying key morphology variables that are predictive of wood quality. For 495 trees from a 30-year-old plantation, we obtained measurements of tree height and dimensions of the living crown, as well as the number and diameter of live branches at selected whorls. Wood traits were assessed from wood cores with SilviScan technology. Morphological traits explained almost 29% of the overall variation observed in wood traits. However, the magnitude of the correlations and the ability of crown morphological traits to predict wood traits differed widely among the latter. Average ring width and radial cell diameter, both related to increment, were well correlated with tree morphology, whereas traits related to subcellular structure, for instance, microfibril angle, were poorly correlated. These results could guide the choice of wood traits to improve inventory techniques aiming to optimize the forest product value chain.

scholarly journals Analysis of non-genetic and genetic influences underlying the growth of Kajli lambs

2020 ◽  
Vol 50 (4) ◽  
pp. 613-625
Author(s):  
A. Ali ◽  
K. Javed ◽  
I. Zahoor ◽  
K.M. Anjum
Keyword(s):  
Birth Weight ◽  
Genetic Correlation ◽  
Fixed Effects ◽  
Genetic Correlations ◽  
Breeding Value ◽  
Season Of Birth ◽  
Genetic Trend ◽  
Breeding Values ◽  
Heritability Estimates ◽  
Birth Type

Data on 2931 Kajli lambs, born from 2007 to 2018, were used to quantify environmental and genetic effects on growth performance of Kajli sheep. Traits considered for evaluation were birth weight (BWT), 120-day adjusted weight (120DWT), 180-day adjusted weight (180DWT), 270-day adjusted weight (270DWT), and 365-day adjusted weight (365DWT). Fixed effects of year of birth, season of birth, sex, birth type, and dam age on these traits were evaluated using linear procedures of SAS, 9.1. Similarly, BWT, 120DWT, 180DWT, and 270DWT were used as fixed effects mixed model analyses. Variance components, heritability and breeding values were estimated by restricted maximum likelihood. The genetic trend for each trait was obtained by regression of the estimated breeding values (EBV) on year of birth. Analyses revealed substantial influence of birth year on all traits. Sex and birth type were the significant sources of variation for BWT and 120DWT. Season of birth did not influence birth weight meaningfully, but had a significant role in the expression of 120DWT, 180DWT, and 270DWT. Heritability estimates were generally low (0.003 ± 0.018 to 0.099 ± 0.067) for all traits. With the exception of the genetic correlation of 180DWT and 365DWT, the genetic correlations between trait were strong and positive. Only 365DWT had a positive genetic trend. Although the heritability estimates for almost all weight traits were low, high and positive genetic correlations between BWT and other weight traits suggest that selection based on BWT would result in the improvement of other weight traits as a correlated response.Keywords: bodyweight, breeding value, genetic correlation, sheep

scholarly journals SOME ASPECTS OF REPRODUCTIVE EFFICIENCY IN AWASSI EWES: A REVIEW

2021 ◽  
Vol 52 (1) ◽  
pp. 20-27
Author(s):  
Jalal E. Alkass ◽  
Hani N. Hermiz ◽  
Mevan Ibrahim Baper
Keyword(s):  
Genetic Variation ◽  
Survival Rate ◽  
Litter Size ◽  
Management Practices ◽  
Review Article ◽  
Reproductive Capacity ◽  
Reproductive Efficiency ◽  
Overall Efficiency ◽  
Heritability Estimates

Reproductive efficiency in terms of fertility, Prolificacy and survival rate are considered the major components of overall efficiency in sheep productivity. While fertility of Awassi ewes is moderate to high depending on feeding and management practices, however, litter size is low and Awassi is not considered a prolific breed. Heritability estimates of these traits are rather low, and reflect small genetic variation in these traits. The possible avenues for increasing reproductive capacity environmentally and genetically are discussed in the text of this review article.

scholarly journals Variance components, heritability estimates, and breeding values for performance test traits in Old Kladruber horses

2016 ◽  
Vol 61 (08) ◽  
pp. 369-376 ◽  
Author(s):  
A. Novotná ◽  
A. Svitáková ◽  
J. Schmidová ◽  
J. Přibyl ◽  
H. Vostrá-Vydrová
Keyword(s):  
Variance Components ◽  
Performance Test ◽  
Breeding Values ◽  
Heritability Estimates

Age trend of heritability, genetic correlation, and efficiency of early selection for wood quality traits in Scots pine

2015 ◽  
Vol 45 (7) ◽  
pp. 817-825 ◽  
Author(s):  
Zhou Hong ◽  
Anders Fries ◽  
Harry X. Wu
Keyword(s):  
Genetic Correlation ◽  
Wood Density ◽  
Scots Pine ◽  
Wood Quality ◽  
Microfibril Angle ◽  
Ring Width ◽  
Early Selection ◽  
Quality Traits ◽  
Wood Traits ◽  
Selection For

To examine the efficiency of early selection for wood quality traits in the Scots pine (Pinus sylvestris L.) breeding program in Sweden, a total of 778 wood increment cores were sampled from 179 full-sib families in a single progeny trial at 40 years of age. Age trend of inheritance, age–age genetic correlation, and early selection efficiency for eight wood traits including annual ring width, wood density, microfibril angle (MFA), modulus of elasticity (i.e., wood stiffness; MOE), and fibre dimensions were studied. Heritabilities for the eight wood traits reached a plateau between age 5 years and age 15 years, with the highest heritability for radial fibre width and fibre coarseness (∼0.6) and the lowest heritability for ring width (∼0.2). Heritability reached about 0.4 for both wood density and MFA but only reached about 0.3 for MOE. Genetic correlation from early to reference age 30 years reached a very high level (>0.8) for all eight wood traits at age 5 years. Early selection was effective for wood quality traits in Scots pine, and selection at age 8 years is recommended for MOE in Scots pine.

scholarly journals New residual feed intake criterion for longitudinal data

2021 ◽  
Vol 53 (1) ◽  
Author(s):  
Ingrid David ◽  
Van-Hung Huynh Tran ◽  
Hélène Gilbert
Keyword(s):  
Regression Model ◽  
Feed Intake ◽  
Genetic Correlations ◽  
Residual Feed Intake ◽  
Repeated Measurements ◽  
Regression Coefficients ◽  
Production Traits ◽  
Breeding Values ◽  
Time Points ◽  
Heritability Estimates

Abstract Background Residual feed intake (RFI) is one measure of feed efficiency, which is usually obtained by multiple regression of feed intake (FI) on measures of production, body weight gain and tissue composition. If phenotypic regression is used, the resulting RFI is generally not genetically independent of production traits, whereas if RFI is computed using genetic regression coefficients, RFI and production traits are independent at the genetic level. The corresponding regression coefficients can be easily derived from the result of a multiple trait model that includes FI and production traits. However, this approach is difficult to apply in the case of multiple repeated measurements of FI and production traits. To overcome this difficulty, we used a structured antedependence approach to account for the longitudinality of the data with a phenotypic regression model or with different genetic and environmental regression coefficients [multi- structured antedependence model (SAD) regression model]. Results After demonstrating the properties of RFI obtained by the multi-SAD regression model, we applied the two models to FI and production traits that were recorded for 2435 French Large White pigs over a 10-week period. Heritability estimates were moderate with both models. With the multi-SAD regression model, heritability estimates were quite stable over time, ranging from 0.14 ± 0.04 to 0.16 ± 0.05, while heritability estimates showed a U-shaped profile with the phenotypic regression model (ranging from 0.19 ± 0.06 to 0.28 ± 0.06). Estimates of genetic correlations between RFI at different time points followed the same pattern for the two models but higher estimates were obtained with the phenotypic regression model. Estimates of breeding values that can be used for selection were obtained by eigen-decomposition of the genetic covariance matrix. Correlations between these estimated breeding values obtained with the two models ranged from 0.66 to 0.83. Conclusions The multi-SAD model is preferred for the genetic analysis of longitudinal RFI because, compared to the phenotypic regression model, it provides RFI that are genetically independent of production traits at all time points. Furthermore, it can be applied even when production records are missing at certain time points.

scholarly journals Predicting Douglas-fir knot size in the stand: a random forest model based on CT and field measurements

2021 ◽  
Author(s):  
Bruna L. Longo ◽  
Franka Brüchert ◽  
Gero Becker ◽  
Udo H. Sauter
Keyword(s):  
Random Forest ◽  
Wood Quality ◽  
Field Measurements ◽  
Detection Algorithm ◽  
Douglas Fir ◽  
Internal Quality ◽  
Internal Diameter ◽  
Branch Diameter ◽  
Standing Trees ◽  
Ct Technology

AbstractBranches are not only of vital importance to tree physiology and growth but are also one of the most influential features in wood quality. To improve the availability of data throughout the forest-to-industry production, information on internal quality (e.g. knots) of both felled and standing trees in the forest would be desirable. This study presents models for predicting the internal knot diameter of Douglas-fir logs based on characteristics measured in the field. The data were composed of 87 trees (aged from 32 to 78 years), collected from six trial sites in southwest Germany, and cut into 4–5 m logs on-site. The internal knot diameter was obtained by applying a knot detection algorithm to the CT images of the logs. Applying the Random Forest (RF) technique, two models were developed: (1) MBD: to predict the branch diameter (BD) at different radial positions within the stem, and (2) MBDmax: to predict the maximum internal branch diameter (BDmax). Both models presented a good performance, predicting BD with an RMSE of 4.26 mm (R2 = 0.84) and BDmax with an RMSE of 5.65 mm (R2 = 0.78). In this context, the innovative combination of CT technology and RF modelling technique showed promising potential to be used in future investigations, as it provided a good performance while being flexible in terms of input data structure and also allowing the inclusion of otherwise underexplored databases. This study showed a possibility to predict the internal diameter of branches from field measurements, introducing an advance towards connecting forest and sawmill.

scholarly journals The Evaluation of Wood Properties of Standing Trees in Sugi (Cryptomeria japonica) Plus Tree Clones Selected in Kanto Breeding Region

2011 ◽  
Vol 57 (5) ◽  
pp. 256-264 ◽  
Author(s):  
Kentaro Mishima ◽  
Taiichi Iki ◽  
Yuichiro Hiraoka ◽  
Naoko Miyamoto ◽  
Atsushi Watanabe
Keyword(s):  
Cryptomeria Japonica ◽  
Wood Properties ◽  
Standing Trees ◽  
Plus Tree
Sign in / Sign up

Export Citation Format

Share Document