ArticleEcology and evolution2023
Identifying genetic variation associated with environmental gradients and drought-tolerance phenotypes in ponderosa pine.
Article in Ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Climate-Driven Niche Tracking and Genomic Resilience Shape Future Distribution of a Widespread Agricultural Weed.Molecular ecology · 2026Article
- Predicting growth, water-use efficiency and drought response through machine learning, GWAS and differential expression in Ponderosa pine.BMC plant biology · 2026Article
- Testing source elevation versus genotype as predictors of sugar pine performance in a post-fire restoration planting.Ecosphere (Washington, D.C) · 2024Article
- Identifying genetic variation associated with environmental gradients and drought-tolerance phenotypes in ponderosa pine.Ecology and evolution · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
As climate changes, understanding the genetic basis of local adaptation in plants becomes an ever more pressing issue. Combining genotype-environment association (GEA) with genotype-phenotype association (GPA) analysis has an exciting potential to uncover the genetic basis of environmental responses. We use these approaches to identify genetic variants linked to local adaptation to drought in
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Registered trials
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