Estimating solid wood properties using Pilodyn and acoustic velocity on standing trees of Norway spruce. Chen, Z. Q., Karlsson, B., Lundqvist, S. O., Gil, M. R. G., Olsson, L., & Wu, H. X. Annals of Forest Science, 72(4):499–508, June, 2015.
Estimating solid wood properties using Pilodyn and acoustic velocity on standing trees of Norway spruce [link]Paper  doi  abstract   bibtex   
Strong genetic correlations were observed between Pilodyn measurement and wood density, and between acoustic velocity and MFA. Combination of Pilodyn penetration and acoustic velocity measurements from standing trees can provide reliable prediction of stiffness of Norway spruce for breeding selection. Traditional methods for the estimation of solid wood quality traits of standing tree such as wood density, microfibril angle (MFA), and modulus of elasticity (MOE) are time-consuming and expensive, which render them unsuitable for rapidly screening a large number of trees in tree breeding programs. This study aims to evaluate the suitability of using Pilodyn penetration and acoustic velocity (nondestructive evaluation) to assess wood density, MFA, and MOE for Norway spruce. Pilodyn penetration and Hitman acoustic velocity, as well as wood density, MFA, and MOE using benchmark SilviScan were measured on 5618 standing trees of 524 open-pollinated families in two 21-year-old Norway spruce (Picea abies) progeny trials in southern Sweden. Strong genetic correlations were observed between Pilodyn measurement and wood density (r (g) = -0.96), and between acoustic velocity and MFA (r (g) = -0.94). Combination of Pilodyn penetration and Hitman acoustic velocity measurements () obtained from standing trees showed a genetic correlation with benchmark MOE of 0.99. This combined had higher selection efficiency for benchmark MOE (92 %) compared to 58-60 % using acoustic velocity alone and 78 % using Pilodyn penetration alone. Combination of Pilodyn penetration with Hitman acoustic velocity provided very high selection efficiency for the three most important quality traits for wood mechanical properties in Norway spruce.
@article{chen_estimating_2015,
	title = {Estimating solid wood properties using {Pilodyn} and acoustic velocity on standing trees of {Norway} spruce},
	volume = {72},
	issn = {1286-4560},
	url = {://WOS:000354388400010},
	doi = {10.1007/s13595-015-0458-9},
	abstract = {Strong genetic correlations were observed between Pilodyn measurement and wood density, and between acoustic velocity and MFA. Combination of Pilodyn penetration and acoustic velocity measurements from standing trees can provide reliable prediction of stiffness of Norway spruce for breeding selection.
Traditional methods for the estimation of solid wood quality traits of standing tree such as wood density, microfibril angle (MFA), and modulus of elasticity (MOE) are time-consuming and expensive, which render them unsuitable for rapidly screening a large number of trees in tree breeding programs.
This study aims to evaluate the suitability of using Pilodyn penetration and acoustic velocity (nondestructive evaluation) to assess wood density, MFA, and MOE for Norway spruce.
Pilodyn penetration and Hitman acoustic velocity, as well as wood density, MFA, and MOE using benchmark SilviScan were measured on 5618 standing trees of 524 open-pollinated families in two 21-year-old Norway spruce (Picea abies) progeny trials in southern Sweden.
Strong genetic correlations were observed between Pilodyn measurement and wood density (r (g) = -0.96), and between acoustic velocity and MFA (r (g) = -0.94). Combination of Pilodyn penetration and Hitman acoustic velocity measurements () obtained from standing trees showed a genetic correlation with benchmark MOE of 0.99. This combined had higher selection efficiency for benchmark MOE (92 \%) compared to 58-60 \% using acoustic velocity alone and 78 \% using Pilodyn penetration alone.
Combination of Pilodyn penetration with Hitman acoustic velocity provided very high selection efficiency for the three most important quality traits for wood mechanical properties in Norway spruce.},
	language = {English},
	number = {4},
	urldate = {2021-06-07},
	journal = {Annals of Forest Science},
	author = {Chen, Z. Q. and Karlsson, B. and Lundqvist, S. O. and Gil, M. R. G. and Olsson, L. and Wu, H. X.},
	month = jun,
	year = {2015},
	keywords = {douglas-fir, genetic-improvement, mature wood, microfibril angle, modulus of elasticity, near-infrared spectroscopy, new-zealand, nondestructive evaluation, norway spruce, picea-abies, pinus-radiata, quality traits, rapid assessment, stiffness, wood density},
	pages = {499--508},
}

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