Evidence map›Paper›PMID 33217217›Full record

ArticleThe plant genome2020

Accuracy of genomic selection and long-term genetic gain for resistance to Verticillium wilt in strawberry.

Dominique D A Pincot, Michael A Hardigan, Glenn S Cole, Randi A Famula, Peter M Henry, Thomas R Gordon, Steven J Knapp

Abstract read
In one paragraph

Article in The plant genome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Artificial Intelligence-Assisted Breeding for Plant Disease Resistance.International journal of molecular sciences · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Genomic selection for crop improvement in fruits and vegetables: a systematic scoping review.Molecular breeding : new strategies in plant improvement · 2024
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Dominique D A PincotDepartment of Plant Sciences, University of California, One Shields Avenue, Davis, CA, 95616, USA.ORCID 0000-0001-6463-1213
Michael A HardiganDepartment of Plant Sciences, University of California, One Shields Avenue, Davis, CA, 95616, USA.
Glenn S ColeDepartment of Plant Sciences, University of California, One Shields Avenue, Davis, CA, 95616, USA.
Randi A FamulaDepartment of Plant Sciences, University of California, One Shields Avenue, Davis, CA, 95616, USA.
Peter M HenryUnited States Department of Agriculture, 1636 E. Alisal Street, Salinas, CA, 93905, USA.
Thomas R GordonDepartment of Plant Pathology, University of California, One Shields Avenue, Davis, CA, 95616, USA.
Steven J KnappDepartment of Plant Sciences, University of California, One Shields Avenue, Davis, CA, 95616, USA.ORCID 0000-0001-6498-5409

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Verticillium wilt, a soil-borne disease caused by the fungal pathogen Verticillium dahliae, threatens strawberry (Fragaria × ananassa) production worldwide. The development of resistant cultivars has been a persistent challenge, in part because the genetics of resistance is complex. The heritability of resistance and genetic gains in breeding for resistance to this pathogen have not been well documented. To elucidate the genetics, assess long-term genetic gains, and estimate the accuracy of genomic selection for resistance to Verticillium wilt, we analyzed a genetically diverse population of elite and exotic germplasm accessions (n = 984), including 245 cultivars developed since 1854. We observed a full range of phenotypes, from highly susceptible to highly resistant: < 3% were classified as highly resistant, whereas > 50% were classified as moderately to highly susceptible. Broad-sense heritability estimates ranged from 0.70-0.76, whereas narrow-sense genomic heritability estimates ranged from 0.33-0.45. We found that genetic gains in breeding for resistance to Verticillium wilt have been negative over the last 165 years (mean resistance has decreased over time). We identified several highly resistant accessions that might harbor favorable alleles that are either rare or non-existent in modern populations. We did not observe the segregation of large-effect loci. The accuracy of genomic predictions ranged from 0.38-0.53 among years and whole-genome regression methods. We show that genomic selection has promise for increasing genetic gains and accelerating the development of resistant cultivars in strawberry by shortening selection cycles and enabling selection in early developmental stages without phenotyping.

Indexed as

FragariaVerticilliumAscomycotaGenomicsPlant Diseases

Identifiers

PMID33217217
PMCPMC12807005

What OpenQuestion holds

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Read underepoch 390

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.