ArticleCommunications biology2025
Genomic selection with GWAS-identified QTL markers enhances prediction accuracy for quantitative traits in poplar (Populus deltoides).
Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Research progress on genomic selection breeding technology for crops.Protoplasma · 2026Review
- Highly Polygenic Control of Photosynthetic Responses to Nighttime Temperature Studied by Genomic Prediction.Plant, cell & environment · 2026Article
- Integrating multi-model GWAS prior information enhances genomic prediction of cold tolerance traits in Populus simonii.BMC plant biology · 2026Article
- Genome-wide association study and KASP development for growth and leaf traits in Populus deltoides.BMC genomics · 2026Article
- Integrating GWAS-guided markers preselection with genomic selection enhances prediction of pulpwood-related traits in slash pine (Pinus elliottii Englem.).BMC plant biology · 2026Article
- Genome-wide association study of a Guinea grass (Megathyrsus maximus) diversity panel reveals the genetic basis of agronomic and nutritional traits.BMC plant biology · 2025Article
- Genome-wide association studies on body-weight and body-size traits among Zhedong white geese based on a modified genotyping-by-sequencing method.BMC genomics · 2025Article
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Authors and funding
6 authors.
Funding
Abstract
Poplar (Populus deltoides) serves as a model tree species with economic importance for wood and biomass production. Genomic genetic improvement of traits is crucial for accelerating tree breeding programs. In this study, we systematically characterized phenotypic variation across ten traits related to growth, wood properties, disease resistance, and leaf morphology in 237 poplar accessions. Phenotypic variation analysis revealed substantial variability among individuals, with coefficients of variation ranging from 4.86% to 73.49%. Narrow-sense heritability estimates indicated genetic contributions ranging from 6.23% to 66.84% for ten traits. A genome-wide association study identified 69 significant quantitative trait loci (QTL) distributed across various chromosomes, strongly associated with traits and implicating 130 annotated genes such as late embryogenesis abundant protein, uridine nucleosidase, and MYB transcription factor. Furthermore, the effects of QTL alleles were significantly correlated with phenotypic values. The integration of multi-trait QTL as random effects into genomic selection (GS) models significantly enhanced prediction accuracy, with an increase ranging from 0.06 to 0.48. Specially, the Bayesian Ridge Regression (BRR) model exhibited superior prediction accuracy for multiple traits. This study provides critical insights into the genetic basis of important traits in poplar, facilitating accelerated breeding efforts and enhancing genetic gains in forestry.
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