ArticleThe plant genome2025
Multivariate models improve accuracy of genomic prediction for spring frost tolerance in Norway spruce.
Article in The plant genome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
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Who cites it
2 citing papers in PubMed.
- Integrating multi-model GWAS prior information enhances genomic prediction of cold tolerance traits in Populus simonii.BMC plant biology · 2026Article
- Multivariate models improve accuracy of genomic prediction for spring frost tolerance in Norway spruce.The plant genome · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Warming spring temperatures increase the risk of frost damage to emerging Norway spruce (Picea abies) buds by advancing their spring phenology and increasing the frost event frequency. We present a field-based electrolyte leakage assay to assess basal frost tolerance in newly emerging buds. Using this assay, we estimated genetic parameters and tested the effectiveness of multivariate genomic selection (GS) models integrating frost tolerance, bud burst phenology, and height growth. Multivariate models significantly improved frost tolerance prediction accuracy, particularly when incorporating bud burst data, due to a strong genetic correlation between traits (r ≈ -0.63) and high heritability of bud burst (h
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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.