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Characterizing variations in growth characteristics between Douglas-fir with different genetic gain levels using airborne laser scanning

Citation

du Toit, F and Coops, NC and Tompalski, P and Goodbody, TRH and El-Kassaby, YA and Stoehr, M and Turner, D and Lucieer, A, Characterizing variations in growth characteristics between Douglas-fir with different genetic gain levels using airborne laser scanning, Trees, 34, (3) pp. 649-664. ISSN 0931-1890 (2020) [Refereed Article]

Copyright Statement

Springer-Verlag GmbH Germany, part of Springer Nature 2020

DOI: doi:10.1007/s00468-019-01946-y

Abstract

In British Columbia, Canada, Douglas-fir [Pseudotsuga menziesii (Mirb.) Franco] selective breeding is used to develop genetically improved regeneration stock. To evaluate realized performance of improved stock, breeders take frequent measurements in genetic gain trials to determine whether yield gains are being met. Currently, variables collected focus on individual tree yield attributes; however, information generated from progeny test trials may not directly reflect plantation performance. Realized yield trials help to bridge the gap between progeny test estimated gain and plantation setting performance. High density airborne laser scanning (ALS) has the potential to identify variables that could improve the selection and validation process. We utilized ALS collected from an unmanned aerial system to assess performance of genetic improvement across three genetic levels and three stand spacings. ALS derived metrics were used to test three hypotheses: (1) tree height is correlated with the level of genetic superiority, (2) tree crown shape varies across genetic level, and (3) tree crown density is associated with genetic level. Random forest algorithms were used to identify candidate ALS metrics. To account for interaction effects, a two-way analysis of variance was conducted for each metric, followed by a post-hoc test to investigate significant differences between genetic level and spacing. The scale and shape parameters of Weibull probability density functions, vertical complexity index, and the fraction of euphotic voxels were found to be important metrics. Results show that genetically superior trees are typically taller, with higher, shorter and denser crowns. In addition, variation across genetic level may be indicative of greater phenotypic plasticity, as superior trees possess the ability to respond to tighter stand spacing.

Item Details

Item Type:Refereed Article
Keywords:airborne laser scanning, UAS, UAV, LiDAR, genetic improvement, Douglas-fir
Research Division:Engineering
Research Group:Geomatic engineering
Research Field:Photogrammetry and remote sensing
Objective Division:Plant Production and Plant Primary Products
Objective Group:Forestry
Objective Field:Softwood plantations
UTAS Author:Turner, D (Dr Darren Turner)
UTAS Author:Lucieer, A (Professor Arko Lucieer)
ID Code:139354
Year Published:2020
Web of Science® Times Cited:6
Deposited By:Geography and Spatial Science
Deposited On:2020-06-11
Last Modified:2020-08-25
Downloads:0

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