Genetic and genomic improvement of Quercus alba productivity and resilience: a synthesis of breeding systems in white oaks (Quercus sect. Quercus)

American white oak ( Quercus alba L.) is a keystone hardwood species with substantial ecological, economic, and cultural value across eastern North American forests. However, its long generation time, delayed reproductive maturity, recalcitrant acorns, regeneration limitations, and complex genotype-by-environment interactions have slowed genetic improvement and climate-resilient deployment. This review synthesizes current knowledge on Q. alba genetics, genomics, quantitative breeding, and conservation, integrating direct evidence from Q. alba with comparative insights from other white oaks ( Quercus sect. Quercus ) and broader tree improvement systems. Available evidence indicates that white oaks maintain substantial standing genetic variation and geographically structured adaptive diversity, while growth, phenology, and related traits often show moderate genetic control. Nevertheless, polygenic trait architectures, environmental heterogeneity, rapid linkage disequilibrium decay, and limited species-specific validation constrain the direct operational use of genomic signals for selection and seed deployment. We propose an implementation-focused framework that combines range-wide germplasm sampling, multi-environment provenance and progeny trials, spatially adjusted mixed models, genomic prediction, genotype-environment association analyses, and climate-informed seed transfer strategies. Emerging resources, including haplotype-resolved genomes, structural-variant analysis, pangenomics, metabolomics, microbiome-informed phenotyping, and genome editing, may further support white oak improvement but require rigorous validation in Q. alba populations and field trials. We argue that genomic and biotechnological tools should complement, rather than replace, conventional quantitative breeding and long-term field evaluation. A coordinated breeding and restoration strategy that balances genetic gain, adaptive diversity, and climate resilience will be essential for sustaining the productivity, ecological function, and long-term persistence of Q. alba forests under future environmental change.

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Publication Details

Journal
Journal of Forestry Research
Published
2026-08-24
DOI
https://doi.org/10.1007/s11676-026-02117-9
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
0.00

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article

Genetic and genomic improvement of Quercus alba productivity and resilience: a synthesis of breeding systems in white oaks (Quercus sect. Quercus)

Sandeep Kumar C, Laura E. DeWald, Hao Chen, Yuhui Weng et al.
Journal of Forestry Research
Genetic Mapping and Diversity in Plants and Animals
article

Genetic and genomic improvement of Quercus alba productivity and resilience: a synthesis of breeding systems in white oaks (Quercus sect. Quercus)

Sandeep Kumar C, Laura E. DeWald, Hao Chen, Yuhui Weng, C. Dana Nelson, Rajesh P. Dahal, Chen Ding, Hammad U. Din, Austin M. Thomas
article en

Abstract

American white oak ( Quercus alba L.) is a keystone hardwood species with substantial ecological, economic, and cultural value across eastern North American forests. However, its long generation time, delayed reproductive maturity, recalcitrant acorns, regeneration limitations, and complex genotype-by-environment interactions have slowed genetic improvement and climate-resilient deployment. This review synthesizes current knowledge on Q. alba genetics, genomics, quantitative breeding, and conservation, integrating direct evidence from Q. alba with comparative insights from other white oaks ( Quercus sect. Quercus ) and broader tree improvement systems. Available evidence indicates that white oaks maintain substantial standing genetic variation and geographically structured adaptive diversity, while growth, phenology, and related traits often show moderate genetic control. Nevertheless, polygenic trait architectures, environmental heterogeneity, rapid linkage disequilibrium decay, and limited species-specific validation constrain the direct operational use of genomic signals for selection and seed deployment. We propose an implementation-focused framework that combines range-wide germplasm sampling, multi-environment provenance and progeny trials, spatially adjusted mixed models, genomic prediction, genotype-environment association analyses, and climate-informed seed transfer strategies. Emerging resources, including haplotype-resolved genomes, structural-variant analysis, pangenomics, metabolomics, microbiome-informed phenotyping, and genome editing, may further support white oak improvement but require rigorous validation in Q. alba populations and field trials. We argue that genomic and biotechnological tools should complement, rather than replace, conventional quantitative breeding and long-term field evaluation. A coordinated breeding and restoration strategy that balances genetic gain, adaptive diversity, and climate resilience will be essential for sustaining the productivity, ecological function, and long-term persistence of Q. alba forests under future environmental change.

Journal of Forestry ResearchVol. 37(1)
University of Kentucky (US), Stephen F. Austin State University (US), Temple College (US), Southern Research Station (US), Auburn University (US)
U.S. Department of Agriculture, University of Kentucky, U.S. Forest Service
Openalex Percentile: Top 10%
Genetic Mapping and Diversity in Plants and Animals
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