Data from: Effect of genetic ancestry on ecologically important fitness traits in hybridizing Populus species: relevance for conservation and forest management
Data files
May 13, 2026 version files 99.76 KB
-
Manuscript_data_EVA70215.tsv
95.35 KB
-
README.md
4.41 KB
Abstract
This dataset contains tab-delimited phenotypic and survival data for Populus samples associated with the publication "Effect of genetic ancestry on ecologically important fitness traits in hybridizing Populus species: relevance for conservation and forest management".
Forest trees and their hybrids exhibit diverse adaptive strategies, reflected in functional traits that enhance fitness under varying biotic and abiotic stresses. Hybrid zones serve as natural experiments for studying evolutionary processes and have also garnered attention for their relevance in adaptive nature conservation and forest management, particularly in response to climate change and habitat fragmentation. However, the influence of genetic ancestry on ecologically relevant traits in hybrid zones remains insufficiently studied and understood. We investigated in this study the effects of genetic ancestry on juvenile survival, clonality, vegetative growth, and leaf hairiness in hybridizing Populus alba (L.), Populus tremula (L.), and their natural hybrid Populus × canescens (Aiton) Sm. Using genetic ancestry estimates derived from restriction site-associated DNA sequencing and genotyping-by-sequencing, we analyzed plant material established from either seeds collected in different years or vegetative cuttings, grown across three common garden environments. We observed consistent patterns of seed sapling survivorship in two common gardens: backcrosses to Populus tremula and recombinant hybrid genotypes exhibited higher probability of juvenile mortality after the first 3 years compared to F1 hybrids, backcrosses to P. alba, and the parental species. Genetic ancestry also influenced clonal reproduction and early vegetative growth, with hybrids genetically closer to P. alba exhibiting enhanced growth and higher clonal rooting success. Plant propagation material from older seed collections tended to grow less and exhibited lower clonality. Additionally, leaf reflectance, a proxy for leaf hairiness, varied along the admixture gradient, with increasing P. alba ancestry corresponding to denser pubescence. Finally, we discussed the implications of these findings, particularly regarding pubescence, for forest breeding and restoration initiatives.
- Repository: Dryad
- Dryad dataset DOI: https://doi.org/10.5061/dryad.sj3tx96k8
- Related publication DOI: https://doi.org/10.1111/eva.70215
Dataset Overview
This dataset supports the manuscript:
Effect of Genetic Ancestry on Ecologically Important Fitness Traits in Hybridizing Populus Species: Relevance for Conservation and Forest Management.
The submission includes one tab-delimited data table.
The data table contains growth, survival, leaf morphology, and leaf reflectance-related measurements for Populus samples.
Leaf reflectance data are provided for three leaves per sample as greyscale metrics.
The table includes one row per sample and variables describing plant height and stem diameter measured across multiple 2018 time points, leaf area and greyscale image-derived traits, cutting performance and survival metrics, germination year, family identifiers, and experimental block/position metadata. Missing values are represented as empty cells or NA. Numeric values are provided with dot decimal notation.
File Inventory
Manuscript_data_EVA70215.tsv- Type: data table (
text/tab-separated-values) - Delimiter: tab
- Table size: 1 header row plus 472 data rows (42 columns)
- Main ID field:
Sample_ID - Decimal separator: dot
- Type: data table (
Variables in Manuscript_data_EVA70215.tsv
Sample_ID: unique sample identifierHeight_04_2018: plant height measured in April 2018 [cm]Height_05_2018: plant height measured in May 2018 [cm]Height_06_2018: plant height measured in June 2018 [cm]Height_07_2018: plant height measured in July 2018 [cm]Height_09_2018: plant height measured in September 2018 [cm]Height_10_2018: plant height measured in October 2018 [cm]Diameter_04_2018: stem diameter measured in April 2018 [mm]Diameter_10_2018: stem diameter measured in October 2018 [mm]Total_number_cuttings_2016: total number of cuttings in 2016Alive_cuttings_07_2016: number of alive cuttings in July 2016Diameter_class_cuttings: diameter class for cuttingsCutting_success_2016: cutting success metric/rate in 2016CG_Surv: source/survival category (e.g., Fribourg, Salerno)Germ_Year: germination yearFamily: family/genotype codeSurv_3Y: 3-year survival indicator [0=dead, 1=alive]Block_Vienna: block identifier (Vienna)Position_Vienna: position identifier (Vienna)q_RAD: quantitative RAD-related metricQ12_RAD: Q12 RAD-related metricLeaf1_Area_Measured: measured leaf area of Leaf1 [pixel²]Leaf1_Mean_grey: mean greyscale value (leaf reflectance-related metric) of Leaf1Leaf1_Mean_grey_StdDev: standard deviation of greyscale values of Leaf1Leaf1_Modal_grey: modal greyscale value of Leaf1Leaf1_Grey_Min: minimum greyscale value of Leaf1Leaf1_Grey_Max: maximum greyscale value of Leaf1Leaf1_Median_grey: median greyscale value of Leaf1Leaf2_Area_Measured: measured leaf area of Leaf2 [pixel²]Leaf2_Mean_grey: mean greyscale value (leaf reflectance-related metric) of Leaf2Leaf2_Mean_grey_StdDev: standard deviation of greyscale values of Leaf2Leaf2_Modal_grey: modal greyscale value of Leaf2Leaf2_Grey_Min: minimum greyscale value of Leaf2Leaf2_Grey_Max: maximum greyscale value of Leaf2Leaf2_Median_grey: median greyscale value of Leaf2Leaf3_Area_Measured: measured leaf area of Leaf3 [pixel²]Leaf3_Mean_grey: mean greyscale value (leaf reflectance-related metric) of Leaf3Leaf3_Mean_grey_StdDev: standard deviation of greyscale values of Leaf3Leaf3_Modal_grey: modal greyscale value of Leaf3Leaf3_Grey_Min: minimum greyscale value of Leaf3Leaf3_Grey_Max: maximum greyscale value of Leaf3Leaf3_Median_grey: median greyscale value of Leaf3
License and Citation
Dryad datasets are distributed under CC0 unless otherwise specified by repository policy.
Please cite:
- The associated publication (https://doi.org/10.1111/eva.70215)
- The Dryad dataset (https://doi.org/10.5061/dryad.sj3tx96k8)
