ArticleTree genetics & genomes2020
Article in Tree genetics & genomes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Low but significant evolutionary potential for growth, phenology and reproduction traits in European beech.Molecular ecology · 2025Article
- Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program.PloS one · 2022Article
- Counter-gradient variation of reproductive effort in a widely distributed temperate oak (Functional ecology · 2021Article
- The GenTree Platform: growth traits and tree-level environmental data in 12 European forest tree species.GigaScience · 2021Article
- Evaluating the effect of stand properties and site conditions on the forest reflectance from Sentinel-2 time series.PloS one · 2021Article
- How does contemporary selection shape oak phenotypes?Evolutionary applications · 2020Article
- Oaks: an evolutionary success story.The New phytologist · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
backgroundPredicting the evolutionary potential of natural tree populations requires the estimation of heritability and genetic correlations among traits on which selection acts, as differences in evolutionary success between species may rely on differences for these genetic parameters.
aimsThe aim of the current study was to estimate three genetic parameters (i.e. heritability, evolvability and genetic correlations) in a natural mixed oak stand composed of
methodsFirst we estimated genetic parameters directly
resultsHeritability and evolvability estimates obtained with different methods varied substantially and showed large confidence intervals, however we found that
conclusionWe identified limits for using realized genomic relatedness in natural stands to estimate the genetic variance, given the overall low variance of genetic relatedness and the rather low sampling sizes of currently used long term genetic plots in forestry. These limits can be overcome if larger sample sizes are considered, or if the approach is extended over the next generation.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.