Evidence map›Paper›PMID 33294018›Full record

ArticleEvolutionary applications2020

Genomic selection for resistance to spruce budworm in white spruce and relationships with growth and wood quality traits.

Jean Beaulieu, Simon Nadeau, Chen Ding, Jose M Celedon, Aïda Azaiez, Carol Ritland, Jean-Philippe Laverdière, Marie Deslauriers, Greg Adams, Michele Fullarton and 3 more

Erratum issuedAbstract read
In one paragraph

Article in Evolutionary applications, 2020. 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 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Identification of miR171a-International journal of molecular sciences · 2025
    Article
  5. Review
  6. Genomic prediction of resistance toEvolutionary applications · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Toward genomic selection inApplications in plant sciences · 2021
    Article
  19. Erratum:.Evolutionary applications · 2021
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Jean BeaulieuCanada Research Chair in Forest Genomics Institute of Systems and Integrative Biology and Systems, and Centre for Forest Research Université Laval Québec QC Canada.ORCID https://orcid.org/0000-0001-5806-7353
Simon NadeauNatural Resources Canada Canadian Wood Fibre Centre Québec QC Canada.
Chen DingCanada Research Chair in Forest Genomics Institute of Systems and Integrative Biology and Systems, and Centre for Forest Research Université Laval Québec QC Canada.ORCID https://orcid.org/0000-0003-2337-2299
Jose M CeledonMichael Smith Laboratories University of British Columbia Vancouver BC Canada.
Aïda AzaiezCanada Research Chair in Forest Genomics Institute of Systems and Integrative Biology and Systems, and Centre for Forest Research Université Laval Québec QC Canada.
Carol RitlandMichael Smith Laboratories University of British Columbia Vancouver BC Canada.
Jean-Philippe LaverdièreCanada Research Chair in Forest Genomics Institute of Systems and Integrative Biology and Systems, and Centre for Forest Research Université Laval Québec QC Canada.
Marie DeslauriersNatural Resources Canada Canadian Wood Fibre Centre Québec QC Canada.
Greg AdamsJ.D. Irving Limited Sussex NB Canada.
Michele FullartonForest Development Section Natural Resources and Energy Development Government of New Brunswick Island View NB Canada.
Joerg BohlmannMichael Smith Laboratories University of British Columbia Vancouver BC Canada.
Patrick LenzCanada Research Chair in Forest Genomics Institute of Systems and Integrative Biology and Systems, and Centre for Forest Research Université Laval Québec QC Canada.ORCID https://orcid.org/0000-0002-0184-9247
Jean BousquetCanada Research Chair in Forest Genomics Institute of Systems and Integrative Biology and Systems, and Centre for Forest Research Université Laval Québec QC Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With climate change, the pressure on tree breeding to provide varieties with improved resilience to biotic and abiotic stress is increasing. As such, pest resistance is of high priority but has been neglected in most tree breeding programs, given the complexity of phenotyping for these traits and delays to assess mature trees. In addition, the existing genetic variation of resistance and its relationship with productivity should be better understood for their consideration in multitrait breeding. In this study, we evaluated the prospects for genetic improvement of the levels of acetophenone aglycones (AAs) in white spruce needles, which have been shown to be tightly linked to resistance to spruce budworm. Furthermore, we estimated the accuracy of genomic selection (GS) for these traits, allowing selection at a very early stage to accelerate breeding. A total of 1,516 progeny trees established on five sites and belonging to 136 full-sib families from a mature breeding population in New Brunswick were measured for height growth and genotyped for 4,148 high-quality SNPs belonging to as many genes along the white spruce genome. In addition, 598 trees were assessed for levels of AAs piceol and pungenol in needles, and 578 for wood stiffness. GS models were developed with the phenotyped trees and then applied to predict the trait values of unphenotyped trees. AAs were under moderate-to-high genetic control (

Indexed as

acetophenone aglyconesacoustic velocitygenetic gainPicea glaucaprediction accuracytree breeding

Identifiers

PMID33294018
PMCPMC7691460

What OpenQuestion holds

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Registered trials

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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.