ArticleThe New phytologist2022
Using landscape genomics to delineate seed and breeding zones for lodgepole pine.
Article in The New phytologist, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Assessing Future Maladaptation Risk in the Keystone SpeciesEvolutionary applications · 2026Article
- Harnessing Genomic Information for Identifying the Geographic Origin of Five North American Tree Species in Trade.Evolutionary applications · 2026Article
- Forest tree-pathogen interactions under climate change.Essays in biochemistry · 2026Review
- Landscape Genomic Analyses ofEvolutionary applications · 2026Article
- Ecotypic divergence in Mongolian Scots pine persists via large-effect genetic adaptation and phenotypic plasticity.BMC plant biology · 2025Article
- Suturing fragmented landscapes: Mosaic hybrid zones in plants may facilitate ecosystem resiliency.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Advancements in ecological niche models for forest adaptation to climate change: a comprehensive review.Biological reviews of the Cambridge Philosophical Society · 2025Review
- Spatial Modeling of Douglas-Fir Plantations in Italy After 120 Years of Experimentation.Ecology and evolution · 2025Article
- Local Adaptation and Climate Change Vulnerability of the Relict Tree SpeciesEvolutionary applications · 2025Article
- Comparison of Conservation Strategies for California Channel Island Oak (Evolutionary applications · 2024Article
- A genome-guided strategy for climate resilience in American chestnut restoration populations.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Stone Pine (Genes · 2024Review
- Article
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4 authors.
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Abstract
Seed and breeding zones traditionally are delineated based on local adaptation of phenotypic traits associated with climate variables, an approach requiring long-term field experiments. In this study, we applied a landscape genomics approach to delineate seed and breeding zones for lodgepole pine. We used a gradient forest (GF) model to select environment-associated single nucleotide polymorphisms (SNPs) using three SNP datasets (full, neutral and candidate) and 20 climate variables for 1906 lodgepole pine (Pinus contorta) individuals in British Columbia and Alberta, Canada. The two GF models built with the full (28 954) and candidate (982) SNPs were compared. The GF models identified winter-related climate as major climatic factors driving genomic patterns of lodgepole pine's local adaptation. Based on the genomic gradients predicted by the full and candidate GF models, lodgepole pine distribution range in British Columbia and Alberta was delineated into six seed and breeding zones. Our approach is a novel and effective alternative to traditional common garden approaches for delineating seed and breeding zone, and could be applied to tree species lacking data from provenance trials or common garden experiments.
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