Evidence map›Paper›PMID 39939512›Full record

ArticleHeredity2025

Revealing stable SNPs and genomic prediction insights across environments enhance breeding strategies of productivity, defense, and climate-adaptability traits in white spruce.

Eduardo P Cappa, Charles Chen, Jennifer G Klutsch, Jaime Sebastian-Azcona, Blaise Ratcliffe, Xiaojing Wei, Letitia Da Ros, Yang Liu, Sudarshana Reddy Bhumireddy, Andy Benowicz and 4 more

Erratum issuedAbstract read
In one paragraph

Article in Heredity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Genome-wide association studies in forestry.Molecular biology reports · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Eduardo P CappaInstituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Recursos Biológicos, Centro de Investigación en Recursos Naturales, De Los Reseros y Dr. Nicolás Repetto s/n, 1686, Hurlingham, Buenos Aires, Argentina. cappa.eduardo@inta.gob.ar.ORCID 0000-0002-6234-2263
Charles ChenDepartment of Biochemistry and Molecular Biology, Oklahoma State University, Stillwater, OK, 74078, USA.ORCID 0000-0002-2203-0433
Jennifer G KlutschDepartment of Renewable Resources, University of Alberta, 442 Earth Sciences Bldg., Edmonton, AB, T6G 2E3, Canada.
Jaime Sebastian-AzconaDepartment of Renewable Resources, University of Alberta, 442 Earth Sciences Bldg., Edmonton, AB, T6G 2E3, Canada.
Blaise RatcliffeDepartment of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.ORCID 0000-0003-4469-2929
Xiaojing WeiDepartment of Renewable Resources, University of Alberta, 442 Earth Sciences Bldg., Edmonton, AB, T6G 2E3, Canada.
Letitia Da RosDepartment of Wood Science, Faculty of Forestry, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
Yang LiuDepartment of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
Sudarshana Reddy BhumireddyDepartment of Biological Sciences, University of Alberta, P217 Biological Sciences Building, Edmonton, AB, T6G 2E9, Canada.
Andy BenowiczForest Stewardship and Trade Branch, Alberta Forestry and Parks, Edmonton, AB, T6H 5T6, Canada.
Shawn D MansfieldDepartment of Wood Science, Faculty of Forestry, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
Nadir ErbilginDepartment of Renewable Resources, University of Alberta, 442 Earth Sciences Bldg., Edmonton, AB, T6G 2E3, Canada.
Barb R ThomasDepartment of Renewable Resources, University of Alberta, 442 Earth Sciences Bldg., Edmonton, AB, T6G 2E3, Canada.ORCID 0000-0002-9718-9297
Yousry A El-KassabyDepartment of Forest and Conservation Sciences, Faculty of Forestry, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.ORCID 0000-0002-4887-8977

Funding

Alberta Innovates | Alberta Innovates Bio Solutions (AI Bio) 16R75221Alberta Innovates | Alberta Innovates Bio Solutions (AI Bio) RES0028979Alberta Innovates | Alberta Innovates Bio Solutions (AI Bio) RES0035327Genome Alberta 16R10106Genome Alberta RES0034657Genome Alberta RES0034664Genome British Columbia 16R75421Genome Canada (Génome Canada) RES0031330Genome Canada (Génome Canada) RES0034654NSF MRI-1531128, ACI-1548562, ACI-1445606
6 · The paper itself

Abstract

Exploring the relationship between phenotype, genotype, and environment is essential in quantitative genetics. Considering the complex genetic architecture of economically important traits, integrating genotype-by-environment interactions in a genome-wide association (GWAS) and genomic prediction (GP) framework is imperative. This integration is crucial for identifying robust markers with stability across diverse environments and improving the predictive accuracy of individuals' performance within specific target environments. We conducted a multi-environment GWAS and GP analysis for 30 productivity, defense, and climate-adaptability traits on 1540 white spruce trees from Alberta, Canada, genotyped for 467,224 SNPs and growing across three environments. We identified 563 significant associations (p-value < 1.07 ×10

Indexed as

Gene-Environment InteractionPiceaPlant BreedingPolymorphism, Single NucleotideAlbertaClimateGenome-Wide Association StudyGenomicsGenotypePhenotypeQuantitative Trait Loci

Identifiers

PMID39939512
PMCPMC11977214

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.