Generating Douglas-fir Breeding Value Estimates Using Airborne Laser Scanning Derived Height and Crown Metrics

Progeny test trials in British Columbia are essential in assessing the genetic performance via the prediction of breeding values (BVs) for target phenotypes of parent trees and their offspring. Accurate and timely collection of phenotypic data is critical for estimating BVs with confidence. Airborne...

Full description

Bibliographic Details
Main Authors: Francois du Toit, Nicholas C. Coops, Blaise Ratcliffe, Yousry A. El-Kassaby
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Plant Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2022.893017/full
_version_ 1811224475001159680
author Francois du Toit
Nicholas C. Coops
Blaise Ratcliffe
Yousry A. El-Kassaby
author_facet Francois du Toit
Nicholas C. Coops
Blaise Ratcliffe
Yousry A. El-Kassaby
author_sort Francois du Toit
collection DOAJ
description Progeny test trials in British Columbia are essential in assessing the genetic performance via the prediction of breeding values (BVs) for target phenotypes of parent trees and their offspring. Accurate and timely collection of phenotypic data is critical for estimating BVs with confidence. Airborne Laser Scanning (ALS) data have been used to measure tree height and structure across a wide range of species, ages and environments globally. Here, we analyzed a Coastal Douglas-fir [Pseudotsuga menziesii var. menziesii (Mirb.)] progeny test trial located in British Columbia, Canada, using individual tree high-density Airborne Laser Scanning (ALS) metrics and traditional ground-based phenotypic observations. Narrow-sense heritability, genetic correlations, and BVs were estimated using pedigree-based single and multi-trait linear models for 43 traits. Comparisons of genetic parameter estimates between ALS metrics and traditional ground-based measures and single- and multi-trait models were conducted based on the accuracy and precision of the estimates. BVs were estimated for two ALS models (ALSCAN and ALSACC) representing two model-building approaches and compared to a baseline model using field-measured traits. The ALSCAN model used metrics reflecting aspects of vertical distribution of biomass within trees, while ALSACC represented the most statistically accurate model. We report that the accuracy of both the ALSCAN (0.8239) and ALSACC (0.8254) model-derived BVs for mature tree height is a suitable proxy for ground-based mature tree height BVs (0.8316). Given the cost efficiency of ALS, forest geneticists should explore this technology as a viable tool to increase breeding programs’ overall efficiency and cost savings.
first_indexed 2024-04-12T08:50:02Z
format Article
id doaj.art-f6f86312676f4ea3aecf8283ecd58acc
institution Directory Open Access Journal
issn 1664-462X
language English
last_indexed 2024-04-12T08:50:02Z
publishDate 2022-07-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Plant Science
spelling doaj.art-f6f86312676f4ea3aecf8283ecd58acc2022-12-22T03:39:37ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2022-07-011310.3389/fpls.2022.893017893017Generating Douglas-fir Breeding Value Estimates Using Airborne Laser Scanning Derived Height and Crown MetricsFrancois du Toit0Nicholas C. Coops1Blaise Ratcliffe2Yousry A. El-Kassaby3Department of Forest Resources Management, Faculty of Forestry, University of British Columbia, Vancouver, BC, CanadaDepartment of Forest Resources Management, Faculty of Forestry, University of British Columbia, Vancouver, BC, CanadaDepartment of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Vancouver, BC, CanadaDepartment of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Vancouver, BC, CanadaProgeny test trials in British Columbia are essential in assessing the genetic performance via the prediction of breeding values (BVs) for target phenotypes of parent trees and their offspring. Accurate and timely collection of phenotypic data is critical for estimating BVs with confidence. Airborne Laser Scanning (ALS) data have been used to measure tree height and structure across a wide range of species, ages and environments globally. Here, we analyzed a Coastal Douglas-fir [Pseudotsuga menziesii var. menziesii (Mirb.)] progeny test trial located in British Columbia, Canada, using individual tree high-density Airborne Laser Scanning (ALS) metrics and traditional ground-based phenotypic observations. Narrow-sense heritability, genetic correlations, and BVs were estimated using pedigree-based single and multi-trait linear models for 43 traits. Comparisons of genetic parameter estimates between ALS metrics and traditional ground-based measures and single- and multi-trait models were conducted based on the accuracy and precision of the estimates. BVs were estimated for two ALS models (ALSCAN and ALSACC) representing two model-building approaches and compared to a baseline model using field-measured traits. The ALSCAN model used metrics reflecting aspects of vertical distribution of biomass within trees, while ALSACC represented the most statistically accurate model. We report that the accuracy of both the ALSCAN (0.8239) and ALSACC (0.8254) model-derived BVs for mature tree height is a suitable proxy for ground-based mature tree height BVs (0.8316). Given the cost efficiency of ALS, forest geneticists should explore this technology as a viable tool to increase breeding programs’ overall efficiency and cost savings.https://www.frontiersin.org/articles/10.3389/fpls.2022.893017/fullairborne laser scanningbreeding valuetree phenotypingtree crown characteristicsfield trials
spellingShingle Francois du Toit
Nicholas C. Coops
Blaise Ratcliffe
Yousry A. El-Kassaby
Generating Douglas-fir Breeding Value Estimates Using Airborne Laser Scanning Derived Height and Crown Metrics
Frontiers in Plant Science
airborne laser scanning
breeding value
tree phenotyping
tree crown characteristics
field trials
title Generating Douglas-fir Breeding Value Estimates Using Airborne Laser Scanning Derived Height and Crown Metrics
title_full Generating Douglas-fir Breeding Value Estimates Using Airborne Laser Scanning Derived Height and Crown Metrics
title_fullStr Generating Douglas-fir Breeding Value Estimates Using Airborne Laser Scanning Derived Height and Crown Metrics
title_full_unstemmed Generating Douglas-fir Breeding Value Estimates Using Airborne Laser Scanning Derived Height and Crown Metrics
title_short Generating Douglas-fir Breeding Value Estimates Using Airborne Laser Scanning Derived Height and Crown Metrics
title_sort generating douglas fir breeding value estimates using airborne laser scanning derived height and crown metrics
topic airborne laser scanning
breeding value
tree phenotyping
tree crown characteristics
field trials
url https://www.frontiersin.org/articles/10.3389/fpls.2022.893017/full
work_keys_str_mv AT francoisdutoit generatingdouglasfirbreedingvalueestimatesusingairbornelaserscanningderivedheightandcrownmetrics
AT nicholasccoops generatingdouglasfirbreedingvalueestimatesusingairbornelaserscanningderivedheightandcrownmetrics
AT blaiseratcliffe generatingdouglasfirbreedingvalueestimatesusingairbornelaserscanningderivedheightandcrownmetrics
AT yousryaelkassaby generatingdouglasfirbreedingvalueestimatesusingairbornelaserscanningderivedheightandcrownmetrics