Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Predicting adaptive phenotypes from multilocus genotypes in Sitka spruce (Picea sitchensis) using random forest.

G3 (Bethesda, Md.) - 1 Sept 2012

Holliday Jason A, Wang Tongli, Aitken Sally

Abstract excerpt

Climate is the primary driver of the distribution of tree species worldwide, and the potential for adaptive evolution will be an important factor determining the response of forests to anthropogenic climate change. Although association mapping has the potential to improve our understanding of the...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Adaptation, Biological
Share to Climate
Share to Epistasis, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Regulatory Networks

Share to Genetic Association Studies

Share to Linkage Disequilibrium

Source

Open in PubMed Open full text

Identifiers

PMID: 22973546
DOI: 10.1534/g3.112.002733
PMCID: PMC3429923

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-22973546-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Predicting adaptive phenotypes from multilocus genotypes in Sitka spruce (Picea sitchensis) using random forest.PMID 22973546Read ↗

Widespread, ecologically relevant genetic markers developed from association mapping of climate-related traits in Sitka spruce (Picea sitchensis).Semantic proximity Read ↗

Genomic and phenotypic architecture of a spruce hybrid zone (Picea sitchensis × P. glauca).Semantic proximity Read ↗

Connecting tree-ring phenotypes, genetic associations and transcriptomics to decipher the genomic architecture of drought adaptation in a widespread conifer.Semantic proximity Read ↗

Back to nature: ecological genomics of loblolly pine (Pinus taeda, Pinaceae).Semantic proximity Read ↗

Genetic and genomic approaches to assess adaptive genetic variation in plants: forest trees as a model.Semantic proximity Read ↗

Patterns of population structure and environmental associations to aridity across the range of loblolly pine (Pinus taeda L., Pinaceae).Semantic proximity Read ↗

Molecular proxies for climate maladaptation in a long-lived tree (Pinus pinaster Aiton, Pinaceae).Semantic proximity Read ↗

High-density genetic linkage mapping in Sitka spruce advances the integration of genomic resources in conifers.Semantic proximity Read ↗

Using Landscape Genomics to Define Species Distributions, Delineate Seed Zones, and Predict Genomic Offset to Future Climate for the Interior Spruce Hybrid Complex (Picea glauca, Picea engelmannii, and Their Hybrids).Semantic proximity Read ↗

The genomic architecture and association genetics of adaptive characters using a candidate SNP approach in boreal black spruce.Semantic proximity Read ↗

Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program.Semantic proximity Read ↗

Preselection of QTL markers enhances accuracy of genomic selection in Norway spruce.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.