3 Materials and Methods
4.9 Genetic gain and response to selection
Selection exclusively for DBH resulted in a positive response of other growth traits but negative response of wood quality traits and unfavourable positive response of MFA (Table 16). Selection for either MOESILV or DENRES.adjusted had
an opposite effect. All indices constructed for simultaneous improvement of growth and wood quality led to desirable improvement of all target traits including MFA. The combination of DBH and MOEDENRES.adjustedcalculated from
standing tree acoustic velocity and adjusted resistograph density appears to be the most efficient strategy.
Single-trait selection aiming at higher DBH, DENTREE, VELTREE and
MOETREE as well as lower GRA resulted in lower BOW, CRK and TWI in Study IV (Table 17). GRA, non-destructively measured on standing-trees, seems to be the optimum choice for genetic improvement of sawn-board shape stability. Selection for lower GRA also appears to have a positive effect on sawn-board density, stiffness and strength (Table 6 in Study IV).
Table 16. Genetic gain (in parentheses) and correlated genetic response (both in %) for important growth and wood quality traits (individually and combined)under 1% selection intensity (Studies I and II). Weights (in square brackets) correspond to intersections of plotted weights versus expected genetic gains (Figure 10) and were used for calculating index coefficients.
Selection trait Weight
Response in target trait
DBH VOL MOESILV DENSILV MFA
(9.40) (20.04) (19.27) (9.07) (19.18)
DBH ˗ 9.40 19.75 -6.47 -2.90 5.66
MOESILV ˗ -5.69 -11.85 19.27 7.02 -19.62
DENRES.adjusted - -6.01 -11.51 12.27 8.45 -4.71
DBH & MOESILV [1 1.0] 4.04 8.61 9.57 2.95 -10.75
DBH & MOEDENRES.adjusted* [1 1.1] 4.95 10.03 9.83 4.31 -8.60
DBH & DENSILV [1 0.05] 5.39 11.63 3.65 2.24 -1.94
DBH & DENRES.adjusted [1 0.04] 3.16 6.87 5.93 4.50 -0.86 * Refers to MOE
TREE.
Table 17. Correlated genetic response of shape stability traits to selection based on stem diameter and several wood quality traits non-destructively measured on standing trees under 1% selection intensity (Study IV). The arrows indicate the direction of intended selection.
Selection traits
Response in selection
traits
Response in target traits
BOW CRK TWI [mm] [mm] [mm] DBH ↑ 15.19% -0.50 -0.57 -0.23 DENTREE * ↑ 10.97% -0.19 -0.89 -1.07 VELTREE ↑ 0.89% -0.51 -0.24 -0.25 MOETREE ↑ 11.28% -0.48 -0.63 -0.74 GRA ↓ 2.02° -0.70 -0.85 -2.80 * Refers to DEN RES.adjusted.
This thesis presents the evaluation of different assessment methods for various wood quality traits important for construction, pulp & paper and bioenergy industries. The emphasis was put on reliability, non-destructiveness, applica- bility in-situ on standing trees, rapidity and cost efficiency. Based on the six studies underlying this thesis, the following conclusions can be drawn:
1. Resistograph, a tool that is based on drilling resistance, proved to be suitable for non-destructive wood density assessment of Scots pine standing trees, in particular when drilling profiles are adjusted for accumulated needle friction. 2. Pilodyn, a tool that measures penetration depth of a pin, does not seem to be as suitable as the resistograph for wood density assessment of Scots pine, even if a patch of bark is removed prior to the measurement.
3. Acoustic velocity combined with adjusted resistograph density performed best in the test of different approaches of calculating standing-tree dynamic modulus of elasticity. It was closely followed by acoustic velocity combined with constant density and the acoustic velocity alone.
4. Non-destructive acoustic sensing tools applied on standing trees, felled logs and sawn boards proved to be capable of accurately predicting the destructively measured sawn board stiffness (either as acoustic velocities or dynamic moduli of elasticity calculated from them).
5. Standing-tree acoustic velocity, adjusted resistograph density and modulus of elasticity calculated from them well reflect sawn board strength.
6. Selective breeding for lower grain angle would improve sawn board quality, i.e. lower twist, crook, and bow and higher density, stiffness and strength.
5 Conclusions and Future perspectives
7. Fourier transform infrared (FTIR) spectroscopy proved to be suitable for rapid and non-destructive assessment of the chemical composition of juvenile and mature wood in Scots pine.
8. Despite the negative genetic correlations observed between growth and wood quality traits, it would be possible to perform simultaneous genetic improvement for these traits. An index combining diameter at breast height and modulus of elasticity calculated from adjusted resistograph density and acoustic velocity measured on standing trees provided the best compromise for simultaneous improvement of growth, fibre and wood quality traits. Future perspectives of Scots pine genetic improvement may include:
1. Implementation of wood quality measurements (resistograph density and/or standing-tree acoustic velocity) into the routine procedures so that breeding values predicted from numerous progeny trials could be used for breeding selection purposes.
2. Development of economic breeding objectives (economic weights) for maximizing profits from tree breeding for sawn timber, pulp & paper and biofuel producing industries.
3. Application of genomic selection to reduce the length of the breeding cycle and accelerate the genetic gain.
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