Evidence map›Paper›PMID 27624117›Full record

ArticleHeredity2017

Efficiency of genomic selection for breeding population design and phenotype prediction in tomato.

E Yamamoto, H Matsunaga, A Onogi, A Ohyama, K Miyatake, H Yamaguchi, T Nunome, H Iwata, H Fukuoka

Abstract read
In one paragraph

Article in Heredity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Water stress tolerance, genomic selection and identification of genomic regions in a MAGIC population of eggplant.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Phenotypic simulation for fruit-related traits in FMolecular genetics and genomics : MGG · 2025
    Article
  8. Genomic selection for crop improvement in fruits and vegetables: a systematic scoping review.Molecular breeding : new strategies in plant improvement · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Genomic Selection for FFrontiers in plant science · 2021
    Article
  18. Review
  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

9 authors.

E YamamotoVegetable Breeding and Genome Division, Institute of Vegetable and Tea Science, National Agriculture and Food Research Organization, Tsu, Mie, Japan.
H MatsunagaVegetable Breeding and Genome Division, Institute of Vegetable and Tea Science, National Agriculture and Food Research Organization, Tsu, Mie, Japan.
A OnogiGraduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo-Ku, Tokyo, Japan.
A OhyamaVegetable Production Technology Division, Institute of Vegetable and Tea Science, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, Japan.
K MiyatakeVegetable Breeding and Genome Division, Institute of Vegetable and Tea Science, National Agriculture and Food Research Organization, Tsu, Mie, Japan.
H YamaguchiVegetable Breeding and Genome Division, Institute of Vegetable and Tea Science, National Agriculture and Food Research Organization, Tsu, Mie, Japan.
T NunomeVegetable Breeding and Genome Division, Institute of Vegetable and Tea Science, National Agriculture and Food Research Organization, Tsu, Mie, Japan.
H IwataGraduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo-Ku, Tokyo, Japan.
H FukuokaVegetable Breeding and Genome Division, Institute of Vegetable and Tea Science, National Agriculture and Food Research Organization, Tsu, Mie, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic selection (GS), which uses estimated genetic potential based on genome-wide genotype data for a breeding selection, is now widely accepted as an efficient method to improve genetically complex traits. We assessed the potential of GS for increasing soluble solids content and total fruit weight of tomato. A collection of big-fruited F

Indexed as

Models, GeneticPlant BreedingSelection, GeneticCrosses, GeneticGenome, PlantGenotyping TechniquesLinkage DisequilibriumSolanum lycopersicum

Identifiers

PMID27624117
PMCPMC5234485

What OpenQuestion holds

Textmetadata
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.