Genetic variation in wood properties of interior spruce. I. Growth, latewood percentage, and wood density

2002 ◽  
Vol 32 (12) ◽  
pp. 2116-2127 ◽  
Author(s):  
Milosh Ivkovich ◽  
Gene Namkoong ◽  
Mathew Koshy
Keyword(s):  
Genetic Variation ◽  
Genetic Correlation ◽  
Wood Density ◽  
Picea Glauca ◽  
Ring Width ◽  
Wood Properties ◽  
Engelmann Spruce ◽  
The Family ◽  
Interior Spruce ◽  
Sib Families

Quantitative genetic variation in growth, latewood percentage, and wood density was investigated for British Columbia's interior spruce (the common name for white spruce, Picea glauca (Moench) Voss; Engelmann spruce, Picea engelmanni Parry ex Engelm.; and their hybrids). The study included 160 half-sib families from the East Kootenay and Prince George regions. At the time of sampling, progeny tests for those two regions were 20 and 22 years old, respectively. Univariate and multivariate restricted maximum likelihood (REML) estimates of genetic parameters were obtained. Estimates of genetic variances and heritabilities differed greatly across planting sites for the examined traits, especially after transplantation between the regions. Significant negative genetic correlation between overall growth and wood density was found for the East Kootenay progenies, while negative but nonsignificant genetic correlation between these traits was found for the Prince George progenies. Generally, there was no significant decrease in heritability for ring width and latewood percentage in successive growth rings. A general age trend for genetic correlation between those traits was not apparent, except that the correlation remained negative during the observed period. Our results show that it is not possible to select certain families as superior based on 1-year results because of the family by growing season interactions. Nevertheless, genetic age–age correlations for cumulative increments were high, having a decreasing trend with increasing difference in age.

Genetic variation in wood properties of interior spruce. II. Tracheid characteristics

2002 ◽  
Vol 32 (12) ◽  
pp. 2128-2139 ◽  
Author(s):  
Milosh Ivkovich ◽  
Gene Namkoong ◽  
Mathew Koshy
Keyword(s):  
Genetic Variation ◽  
Genetic Correlation ◽  
Picea Glauca ◽  
Growth Ring ◽  
Microfibril Angle ◽  
Ring Width ◽  
Wood Properties ◽  
Cross Sectional ◽  
Interior Spruce ◽  
Transition Wood

In this study we investigated quantitative genetic variation in tracheid characteristics in two genetic tests of British Columbia's interior spruce (the common name for white spruce, Picea glauca (Moench) Voss; Engelmann spruce, Picea engelmanni Parry ex Engelm.; and their hybrids). The study included 88 half-sib families from the East Kootenay and Prince George regions. We have developed a technique for quantitative assessment of tracheid characteristics by measuring cross-sectional dimensions. We obtained cell size, wall thickness and their ratio in early-, transition-, and late-wood classes within a growth ring. Tracheid length and microfibril angle were measured in the transition wood. A number of tracheid characteristics showed significant genetic variation, but heritability, phenotypic, and genetic correlation estimates varied across test sites within and outside regions of origin of parental trees. Ring width was determined, both phenotypically and genetically, by the number of tracheids and to a lesser extent by the by their mean size. On average, rings with larger tracheids did not have significantly thicker walls. Wider rings had lower mean wall to tracheid size ratio. Faster growth did not result in shorter tracheids in the transition wood. Longer tracheids had lower micro fibril angle. There were no particular benefits from considering the anatomical component traits for breaking the negative genetic correlation between growth and wood density.

Genetic variation in veneer quality and its correlation to growth in white spruce

2004 ◽  
Vol 34 (6) ◽  
pp. 1311-1318 ◽  
Author(s):  
S Y Zhang ◽  
Qibin Yu ◽  
Jean Beaulieu
Keyword(s):  
Genetic Variation ◽  
Wood Density ◽  
Modulus Of Elasticity ◽  
Picea Glauca ◽  
Genetic Correlations ◽  
Volume Growth ◽  
Ring Width ◽  
White Spruce ◽  
Narrow Sense Heritability ◽  
Sample Tree

This study investigated the genetic variation in veneer quality of white spruce (Picea glauca (Moench) Voss) and its correlation with tree growth and wood density. A total of 270 sample trees from 35 families were harvested from 36-year-old provenance-progeny trials at two sites through a thinning operation. A 36-cm long bolt was collected from each sample tree at an 8-foot (or 2.45 m) height for this veneer quality study. The results indicate that conversion of fast-grown white spruce into veneer and plywood may present some problems. Low wood density, numerous knots, and possibly a high proportion of juvenile wood appear to be major factors contributing to low veneer stress grading, resulting in a production of low-quality veneer. This study also showed that the environmental factors at the two sites played an important role in determining veneer quality and tree radial growth. The narrow-sense heritability for veneer density, veneer modulus of elasticity, and veneer roughness were 0.62, 0.13, and 0.14, respectively. The results revealed considerable phenotypic variation and relatively high additive genetic variation in the veneer modulus of elasticity. The phenotypic and genetic correlations between ring width and veneer density or veneer modulus of elasticity were negative. A positive phenotypic and genetic correlation was found between veneer density and veneer modulus of elasticity. This suggests that selection for tree volume growth in white spruce would lead to a decrease in wood density and veneer stiffness.

scholarly journals Improved dendroclimatic calibration using blue intensity in the southern Yukon

The Holocene ◽  
2019 ◽  
Vol 29 (11) ◽  
pp. 1817-1830 ◽  
Author(s):  
R Wilson ◽  
K Anchukaitis ◽  
L Andreu-Hayles ◽  
E Cook ◽  
R D’Arrigo ◽  
...  
Keyword(s):  
North America ◽  
Tree Ring ◽  
Picea Glauca ◽  
Ring Width ◽  
Gulf Of Alaska ◽  
Wood Properties ◽  
Temperature Sensitive ◽  
Latewood Density ◽  
June July ◽  
Blue Intensity

In north-western North America, the so-called divergence problem (DP) is expressed in tree ring width (RW) as an unstable temperature signal in recent decades. Maximum latewood density (MXD), from the same region, shows minimal evidence of DP. While MXD is a superior proxy for summer temperatures, there are very few long MXD records from North America. Latewood blue intensity (LWB) measures similar wood properties as MXD, expresses a similar climate response, is much cheaper to generate and thereby could provide the means to profoundly expand the extant network of temperature sensitive tree-ring (TR) chronologies in North America. In this study, LWB is measured from 17 white spruce sites ( Picea glauca) in south-western Yukon to test whether LWB is immune to the temporal calibration instabilities observed in RW. A number of detrending methodologies are examined. The strongest calibration results for both RW and LWB are consistently returned using age-dependent spline (ADS) detrending within the signal-free (SF) framework. RW data calibrate best with June–July maximum temperatures (Tmax), explaining up to 28% variance, but all models fail validation and residual analysis. In comparison, LWB calibrates strongly (explaining 43–51% of May–August Tmax) and validates well. The reconstruction extends to 1337 CE, but uncertainties increase substantially before the early 17th century because of low replication. RW-, MXD- and LWB-based summer temperature reconstructions from the Gulf of Alaska, the Wrangell Mountains and Northern Alaska display good agreement at multi-decadal and higher frequencies, but the Yukon LWB reconstruction appears potentially limited in its expression of centennial-scale variation. While LWB improves dendroclimatic calibration, future work must focus on suitably preserved sub-fossil material to increase replication prior to 1650 CE.

scholarly journals Identification of Molecular Markers for Selected Wood Properties of Norway Spruce Picea abies L. (Karst.) I. Wood Density

2004 ◽  
Vol 53 (1-6) ◽  
pp. 45-50 ◽  
Author(s):  
T. Markussen ◽  
A. Tusch ◽  
B. R. Stephan ◽  
M. Fladung
Keyword(s):  
Picea Abies ◽  
Norway Spruce ◽  
Wood Density ◽  
Wood Properties ◽  
Scar Markers ◽  
Exact Test ◽  
Monomorphic Band ◽  
Subsequent Conversion ◽  
Sib Families ◽  
First Time

AbstractThe identification of AFLP markers and their subsequent conversion to SCAR-markers linked to wood density of Norway Spruce (Picea abies L [Karst.]) is described for the first time. In AFLP-analyses, 102 different primer enzyme combinations were screened in a bulked segregant approach comparing individuals with high and low wood density. A total of 107 polymorphic AFLP fragments were obtained between the DNA-pools. Twenty-three markers were selected for further analyses to verify their linkage to wood density based on individuals used for pool constitution and additional unrelated clonal material. For 15 markers, a significant linkage to wood density was confirmed by a two-sided Fisher’s-exact test. Four markers were converted into SCAR markers and validated for plant material assayed for wood density by X-ray microdensitometry. For each marker a monomorphic band was obtained using sets of nested primers or restriction site-specific primers (RSS), which include the AFLP-restriction recognition sites. For two markers that are linked to high wood density, a separation from unlinked size homologous marker-alleles was realized by a PCR-restriction approach. Validation of these markers in different full-sib families confirmed their usability to separate the classes for low and high wood density of Picea abies.

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 Genetic Variation and Its Exploitation in White and Engelmann Spruce

1969 ◽  
Vol 45 (6) ◽  
pp. 445-448 ◽  
Author(s):  
L. Roche ◽  
M. J. Holst ◽  
A. H. Teich
Keyword(s):  
Genetic Variation ◽  
Seed Production ◽  
Picea Glauca ◽  
Climatic Zones ◽  
Waiting Period ◽  
Engelmann Spruce ◽  
Seed Zones ◽  
Increase Productivity ◽  
Production Areas ◽  
Forestry Practice

Genetic variation in white and Engelmann spruce (Picea glauca (Moench) Voss and P. engelmannii Parry) reported in the literature is reviewed, and proposals are made to use this information to increase productivity in current forestry practice and to direct future research.Because research in the genetic variation of these species has only recently been initiated, it will take decades before the products of breeding can be utilized. The best way to exploit genetic variation in the species during the long waiting period between the initiation of a breeding program and the attainment of its objectives is to (1) demarcate seed zones, (2) establish seed production areas, (3) maintain a seed register and, (4) locate nurseries in appropriate climatic zones (match provenance with nursery). The forester who follows these practices will likely succeed in producing a productive man-made forest.

Nitrogen uptake and utilization by slow- and fast-growing families of interior spruce under contrasting fertility regimes

2003 ◽  
Vol 33 (6) ◽  
pp. 959-966 ◽  
Author(s):  
B D Miller ◽  
B J Hawkins
Keyword(s):  
Nitrogen Uptake ◽  
Picea Glauca ◽  
Dry Mass ◽  
Picea Engelmannii ◽  
Fertility Level ◽  
Fast Growing ◽  
Interior Spruce ◽  
Sib Families ◽  
Slow Growing ◽  
Mass Allocation

Six full-sib families of interior spruce (Picea glauca (Moench) Voss × Picea engelmannii Parry ex Engelm.) of contrasting growth rates (three fast-growing, three slow-growing families) were grown from seed in a greenhouse under three fertility regimes (25, 75, and 125 mg nitrogen/seedling over 175 days). The use of vector analysis showed that the lowest fertility regime was nitrogen-limited while the highest indicated luxury consumption. After 175 days, fast-growing families were larger than slow-growing at all fertility levels. At the lowest fertility level, fast-growing families exhibited greater nitrogen productivity and utilization of internal nitrogen. At higher fertility levels, fast-growing families took up nitrogen more quickly and efficiently thus accumulating greater nitrogen reserves. Fast-growing families also exhibited a greater plasticity in dry mass allocation between shoots and roots with different fertility levels.

Population genetic variation, structure, and evolution in Engelmann spruce, white spruce, and their natural hybrid complex in Alberta

2000 ◽  
Vol 78 (6) ◽  
pp. 768-780 ◽  
Author(s):  
Om P Rajora ◽  
Bruce P Dancik
Keyword(s):  
Genetic Variation ◽  
Picea Glauca ◽  
White Spruce ◽  
Natural Hybridization ◽  
Putative Hybrid ◽  
Species Differentiation ◽  
Engelmann Spruce ◽  
Hybrid Complex ◽  
Allozyme Loci ◽  
Putative Hybrids

Genetic variation, structure, and evolution of 12 populations of putative Engelmann spruce (Picea engelmanii Parry), white spruce (Picea glauca (Moench) Voss), and Engelmann - white spruce natural hybrids from the sympatric areas and two populations of white spruce from the allopatric areas in Alberta were examined using 23 allozyme loci coding for 13 enzymes in needles. Although most of the alleles were widespread, unique alleles were found in 9 of the 14 populations. No species-specific allele was observed. However, allele frequency differences were observed between the putative Engelmann and white spruce populations at a number of loci. Frequencies of 13 alleles showed significant correlation with altitude, those of 11 alleles showed correlation with latitude, and those of 3 alleles showed correlation with longitude. On average, 66.2% (99% criterion) of the loci were polymorphic, the number of alleles per locus was 1.88, the number of alleles per polymorphic locus was 2.88, and the observed and expected heterozygosities were 0.063 and 0.184, respectively. Genetic variability of allopatric white spruce, putative Engelmann, sympatric white spruce, and hybrid populations was quite comparable. The mean FST estimate was 0.123 for the total populations. Canonical discriminant functions separated four putative Engelmann spruce populations from the fifth putative Engelmann spruce population and from the allopatric and sympatric white spruce and sympatric putative hybrid populations. A cluster analysis from genetic distances generally separated allopatric and sympatric white spruce populations from the putative Engelmann spruce and hybrid populations. A Wagner tree of the 14 populations produced two main branches; one branch consisting of two allopatric and two sympatric white spruce and one putative hybrid populations, and another branch consisting of the remaining nine spruce populations representing putative Engelmann spruce, putative hybrids, and sympatric white spruce. Putative hybrids showed lower distances to white spruce from the canonical discriminant analysis, whereas they showed lower distances to putative Engelmann spruce from the genetic distance analysis. High allozyme genetic identities between putative Engelmann and white spruce and allelic differentiation related to altitude in Alberta suggest that Engelmann spruce could at best be considered as a subspecies of Picea glauca, with white spruce named as Picea glauca ssp. glauca and Engelmann spruce named as Picea glauca ssp. engelmannii.Key words: Picea glauca, Picea engelmannii, biosystematics, natural hybridization, species differentiation, genetic divergence.

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