Abstract
Rapid and cost-effective methods of evaluating the properties of wood are required for forest-tree breeding programs. In this work, we first attempted to develop a calibration model for predicting the stiffness of wood using near-infrared (NIR) spectroscopy. Wood samples were collected from three stands of sugi (Cryptomeria japonica) plus-tree clones aged from 34 to 36 years old. Two to three sample trees were harvested from each clone, yielding a total of 129 sample trees. Partial least-squares analysis was performed to predict the dynamic modulus of elasticity (E fr). A reasonable calibration model that allowed E fr to be predicted with a correlation coefficient of 0.69 and a root mean square error of prediction of 0.82 GPa was obtained. Second, in a novel approach, we tried to select the NIR spectral bands that were the most strongly related to wood stiffness, and we examined the degree to which these bands were genetically controlled. The heritability estimates (h 2) for the NIR absorbance values at 7,320 and 6,281 cm−1, which were found to be the most important bands for predicting E fr, were 0.48 and 0.57, respectively. Although the genetic control of the NIR spectral bands was weaker than the genetic control associated with the actual measurement of E fr (h 2 = 0.74), the results imply that the NIR spectral bands are under moderate genetic control. Assuming that the NIR spectral bands are the dissected components of the target trait (E fr), the results should provide useful information when attempting to perform genomics-based breeding.
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References
Arima T, Maruyama N, Hayamura S, Nakamura N, Nanami N (1993) Classification of log based on sound analysis and its application in product processing (in Japanese with English summary). J Soc Mater Sci Jpn 42:141–146
Bishop CM (2006) Pattern recognition and machine learning. Springer, New York
Efron B, Tibshirani RJ (1993) An introduction to the bootstrap. Chapman and Hall, New York
Falconer DS, Mackay TFC (1996) Introduction to quantitative genetics, 4th edn. Longman, Harlow
Forestry Agency (2013) Annual report on trends in forests and forestry, fiscal year 2012 (summary). http://www.rinya.maff.go.jp/j/kikaku/hakusyo/24hakusyo/pdf/h24summary.pdf. Accessed 22 Feb 2014
Fujimoto T, Kurata Y, Matsumoto K, Tsuchikawa S (2008) Application of near infrared spectroscopy for estimating wood mechanical properties of small clear and full length lumber specimens. J Near Infrared Spectrosc 16:529–537
Fujimoto T, Kurata Y, Matsumoto K, Tsuchikawa S (2010) Feasibility of near-infrared spectroscopy for on-line grading of sawn lumber. Appl Spectrosc 64:92–99
Fujisawa Y, Ohta S, Nishimura K, Toda T, Tajima M (1992) Wood characteristics and genetic variations in Sugi (Cryptomeria japonica). Clonal differences and correlations between locations of dynamic moduli of elasticity and diameter growths in plus-tree clones. Mokuzai Gakkaishi 38:638–644
Fujisawa Y, Ohta S, Nishimura K, Toda T, Tajima M (1993) Wood characteristics and genetic variations in Sugi (Cryptomeria japonica). II. Variation in growth ring components among plus-trees clones and test stands. Mokuzai Gakkaishi 39:875–882
Fujisawa Y, Ohta S, Nishimura K, Toda T, Tajima M (1994) Wood characteristics and genetic variations in Sugi (Cryptomeria japonica). III. Estimation of variance components of the variation in dynamic modulus of elasticity with plus-tree clones. Mokuzai Gakkaishi 40:457–464
Fujisawa Y, Ohta S, Nishimura K, Toda T, Tajima M (1995) Variation in moisture contents of heartwood among clones and test stands in Sugi (Cryptomeria japonica). Mokuzai Gakkaishi 41:249–255
Gonzalez-Martinez SC, Wheeler NC, Ersoz E, Nelson CD, Neale DB (2007) Association genetics in Pinus taeda LI. Wood property traits. Genetics 175:399–409
Hastie T, Efron B (2013) lars: least angle regression, Lasso and forward stagewise. R package, version 1.2. http://cran.r-project.org/web/packages/lars/lars.pdf
Kelley SS, Rials TG, Snell R, Groom LH, Sluiter A (2004) Use of near infrared spectroscopy to measure the chemical and mechanical properties of solid wood. Wood Sci Technol 38:257–276
Kramer R (1998) Chemometric techniques for quantitative analysis. Marcel Dekker, New York
Lestander TA, Lindeberg J, Eriksson D, Bergsten U (2008) Prediction of Pinus sylcestris clear-wood properties using NIR spectroscopy and biorthogonal partial least squares regression. Can J For Res 38:2052–2062
Mehmood T, Liland KH, Snipen L, Sæbø S (2012) A review of variable selection methods in partial least squares regression. Chemometr Intell Lab Syst 118:62–69
Mevik BH, Wehrens R, Liland KH (2013) pls: partial least squares and principal component regression. R package, version 2.4-3. http://cran.r-project.org/web/packages/pls/index.html
Neale DB (2007) Genomics to tree breeding and forest health. Curr Opin Genet Dev 17:539–544
Pinheiro J, Bates D, DebRoy S, Sarkar D (2013) nlme: linear and nonlinear mixed effects models. R package, version 3.1-111. http://cran.r-project.org/web/packages/nlme/nlme.pdf
Schimleck LR, Doran JC, Rimbawanto A (2003) Near infrared spectroscopy for cost-effective screening of foliar oil characteristics in a Melaleuca cajuputi breeding population. J Agric Food Chem 51:2433–2437
Schwanninger M, Rodrigues JC, Fackler K (2011) A review of band assignments in near infrared spectra of wood and wood component. J Near Infrared Spectrosc 19:287–308
Sobue N (1986) Measurement of Young’s modulus by the transient longitudinal vibration of wooden beams using a fast Fourier transformation spectrum analyzer. Mokuzai Gakkaishi 32:744–747
Thumma BR, Nolan MR, Evans R, Moran GF (2005) Polymorphisms in cinnamoyl CoA reductase (CCR) are associated with variation in microfibril angle in Eucalyptus spp. Genetics 171:1257–1265
Tibshirani R (1996) Regression shrinkage and selection via the Lasso. J R Stat Soc B 58:267–288
Tsuchikawa S (2007) A review of recent near infrared research for wood and paper. Appl Spectrosc Rev 42:43–71
Tsuchikawa S, Schwanninger M (2011) A review of recent near infrared research for wood and paper. Part 2. Appl Spectrosc Rev 48:560–587
Tsuchikawa S, Hirashima Y, Ssaki Y, Ando K (2005) Near-infrared spectroscopic study of the physical and mechanical properties of wood with meso- and micro-scale anatomical observation. Appl Spectrosc 59:86–93
Wehrens R (2011) Chemometrics with R. Multivariate data analysis in the natural sciences and life sciences. Springer, Berlin
Zou H, Hastie T (2005) Regularization and variable selection via the elastic net. J R Stat Soc B 67:301–320
Zou H, Hastie T (2013) Elasticnet: elastic-net for sparse estimation and sparse PCA. R package, version 1.1. http://cran.r-project.org/web/packages/elasticnet/elasticnet.pdf
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Fujimoto, T., Chiyoda, K., Yamaguchi, K. et al. Heritability estimates for wood stiffness and its related near-infrared spectral bands in sugi (Cryptomeria japonica) clones. J For Res 20, 206–212 (2015). https://doi.org/10.1007/s10310-014-0464-z
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DOI: https://doi.org/10.1007/s10310-014-0464-z