Open Access Repository

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

du Toit, F, Coops, NC, Tompalski, P, Goodbody, TRH, El-Kassaby, YA, Stoehr, M, Turner, D ORCID: 0000-0002-3029-6717 and Lucieer, A ORCID: 0000-0002-9468-4516 2020 , 'Characterizing variations in growth characteristics between Douglas-fir with different genetic gain levels using airborne laser scanning' , Trees, vol. 34, no. 3 , pp. 649-664 , doi: 10.1007/s00468-019-01946-y.

Full text not available from this repository.

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 Type: Article
Authors/Creators: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
Keywords: airborne laser scanning, UAS, UAV, LiDAR, genetic improvement, Douglas-fir
Journal or Publication Title: Trees
Publisher: Springer-Verlag
ISSN: 0931-1890
DOI / ID Number: 10.1007/s00468-019-01946-y
Copyright Information:

© Springer-Verlag GmbH Germany, part of Springer Nature 2020

Related URLs:
Item Statistics: View statistics for this item

Actions (login required)

Item Control Page Item Control Page
TOP