du Toit Francois, Coops Nicholas C, Ratcliffe Blaise, El-Kassaby Yousry A
Department of Forest Resources Management, Faculty of Forestry, University of British Columbia, Vancouver, BC, Canada.
Department of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Vancouver, BC, Canada.
Front Plant Sci. 2022 Jul 14;13:893017. doi: 10.3389/fpls.2022.893017. eCollection 2022.
Progeny test trials in British Columbia are essential in assessing the genetic performance 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 [ var. (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 (ALS and ALS) representing two model-building approaches and compared to a baseline model using field-measured traits. The ALS model used metrics reflecting aspects of vertical distribution of biomass within trees, while ALS represented the most statistically accurate model. We report that the accuracy of both the ALS (0.8239) and ALS (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.
在不列颠哥伦比亚省进行后代测试试验对于评估遗传性能、预测亲本树木及其后代目标表型的育种值（BVs）至关重要。准确及时地收集表型数据对于自信地估计育种值至关重要。机载激光扫描（ALS）数据已被用于在全球范围内测量广泛树种、年龄和环境下的树高和结构。在这里，我们使用单株树木的高密度机载激光扫描（ALS）指标和传统的地面表型观测数据，分析了位于加拿大不列颠哥伦比亚省的海岸花旗松[变种 （米尔贝格）]后代测试试验。使用基于系谱的单性状和多性状线性模型对43个性状估计狭义遗传力、遗传相关性和育种值。基于估计的准确性和精确性，对ALS指标与传统地面测量以及单性状和多性状模型之间的遗传参数估计进行了比较。针对代表两种模型构建方法的两个ALS模型（ALS和ALS）估计了育种值，并与使用实地测量性状的基线模型进行了比较。ALS模型使用反映树木生物量垂直分布方面的指标，而ALS代表统计上最准确的模型。我们报告说，ALS（0.8239）和ALS（0.8254）模型得出的成熟树高育种值的准确性是地面成熟树高育种值（0.8316）的合适替代指标。鉴于ALS的成本效益，森林遗传学家应探索将该技术作为提高育种计划整体效率和节省成本的可行工具。
