Evidence map›Paper›PMID 27069395›Full record

ReviewBreeding science2016

Genomics-assisted breeding in fruit trees.

Hiroyoshi Iwata, Mai F Minamikawa, Hiromi Kajiya-Kanegae, Motoyuki Ishimori, Takeshi Hayashi

Abstract readReview
In one paragraph

Review in Breeding science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
–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

47 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  8. Article
  9. Review
  10. Article
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  14. Chromosome-scale genome assembly of acerola (Malpighia emarginata DC.).DNA research : an international journal for rapid publication of reports on genes and genomes · 2024
    Article
  15. Review
  16. Article
  17. Abiotic Stress Tolerance Boosted by Genetic Diversity in Plants.International journal of molecular sciences · 2024
    Article
  18. Genomic prediction of resistance toEvolutionary applications · 2024
    Article
  19. Article
  20. Development and Evaluation of an AxiomPlants (Basel, Switzerland) · 2023
    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

5 authors.

Hiroyoshi IwataDepartment of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo , 1-1-1 Yayoi, Bunkyo, Tokyo 113-8657 , Japan.
Mai F MinamikawaDepartment of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo , 1-1-1 Yayoi, Bunkyo, Tokyo 113-8657 , Japan.
Hiromi Kajiya-KanegaeDepartment of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo , 1-1-1 Yayoi, Bunkyo, Tokyo 113-8657 , Japan.
Motoyuki IshimoriDepartment of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo , 1-1-1 Yayoi, Bunkyo, Tokyo 113-8657 , Japan.
Takeshi HayashiAgroinfomatics Division, NARO Agricultural Research Center (NARC) , 3-1-1 Kannondai, Tsukuba, Ibaraki 305-8666 , Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advancements in genomic analysis technologies have opened up new avenues to promote the efficiency of plant breeding. Novel genomics-based approaches for plant breeding and genetics research, such as genome-wide association studies (GWAS) and genomic selection (GS), are useful, especially in fruit tree breeding. The breeding of fruit trees is hindered by their long generation time, large plant size, long juvenile phase, and the necessity to wait for the physiological maturity of the plant to assess the marketable product (fruit). In this article, we describe the potential of genomics-assisted breeding, which uses these novel genomics-based approaches, to break through these barriers in conventional fruit tree breeding. We first introduce the molecular marker systems and whole-genome sequence data that are available for fruit tree breeding. Next we introduce the statistical methods for biparental linkage and quantitative trait locus (QTL) mapping as well as GWAS and GS. We then review QTL mapping, GWAS, and GS studies conducted on fruit trees. We also review novel technologies for rapid generation advancement. Finally, we note the future prospects of genomics-assisted fruit tree breeding and problems that need to be overcome in the breeding.

Indexed as

generation advancement technologygenome-wide association study (GWAS)genomic selection (GS)pseudo-testcross strategystatistical model

Identifiers

PMID27069395
PMCPMC4780794

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.