Estimating the Basic Density and Mechanical Properties of Elite Loblolly Pine Families with Near Infrared Spectroscopy

Abstract Near infrared spectroscopy coupled with partial least squares regression was utilized as a high throughput tool in assessing the density, modulus of rupture, and modulus of elasticity of elite loblolly pine families (Pinus taeda L.). These properties dictate wood quality for structural appl...

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Bibliographic Details
Published in:Forest science 2018-04, Vol.64 (2), p.149-158
Main Authors: Acquah, Gifty E, Essien, Charles, Via, Brian K, Billor, Nedret, Eckhardt, Lori G
Format: Article
Language:English
Subjects:
Breeding
Density
Forests
Infrared spectroscopy
Landowners
Lumber
Mechanical properties
Modulus of elasticity
Modulus of rupture
Near infrared radiation
Pine
Pine trees
Pinus palustris
Pinus taeda
Quality
Spectroscopy
Timber
Trees
Variance analysis
Wood
Wood composites
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Summary:Abstract Near infrared spectroscopy coupled with partial least squares regression was utilized as a high throughput tool in assessing the density, modulus of rupture, and modulus of elasticity of elite loblolly pine families (Pinus taeda L.). These properties dictate wood quality for structural applications. PLS models were calibrated and validated with 260 samples processed from loblolly pine families and commercially acquired southern pine lumber. Developed models having R2s greater than 0.7 and RPDs meeting the 1.5 screening criteria were used to predict the wood traits of 351 live trees representing 14 elite families planted on two sites. Two-way ANOVA testing the effect of family, site, and family x site interaction was significant for family for all traits. Within a family, site also affected the density, but to a lower extent. With the significant family x site interaction term on density and MOR, landowners and tree breeders would have to keep in mind that desired traits of the families might be unstable on different sites. Notwithstanding, four out of the 14 screened families had consistently high density, MOR, and MOE values irrespective of site. This knowledge can be incorporated in tree breeding programs to further improve wood quality.
ISSN:0015-749X
1938-3738
DOI:10.1093/forsci/fxx009