Evidence map›Paper›PMID 27115872›Full record

ArticlePloS one2016

Island-Model Genomic Selection for Long-Term Genetic Improvement of Autogamous Crops.

Shiori Yabe, Masanori Yamasaki, Kaworu Ebana, Takeshi Hayashi, Hiroyoshi Iwata

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.8field-weighted citation impact, top 6% of its field
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

9 citing papers in PubMed, 26 citations in OpenAlex.

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  6. Reciprocal recurrent genomic selection: an attractive tool to leverage hybrid wheat breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Review
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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 at 4 institutions in 1 country.

Shiori YabeDepartment of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Science, The University of Tokyo, Bunkyo, Tokyo, Japan.
Masanori YamasakiFood Resources Education and Research Center, Graduate School of Agricultural Science, Kobe University, Kasai, Hyogo, Japan.
Kaworu EbanaGenetic Resources Center, National Institute of Agrobiological Sciences, Tsukuba, Ibaraki, Japan.
Takeshi HayashiAgricultural Research Center, National Agriculture and Food Research Organization, Kannondai, Tsukuba, Ibaraki, Japan.
Hiroyoshi IwataDepartment of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Science, The University of Tokyo, Bunkyo, Tokyo, Japan.
The University of Tokyo · JPInstitute of Agrobiological Sciences · JPKobe University · JPNational Agriculture and Food Research Organization · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acceleration of genetic improvement of autogamous crops such as wheat and rice is necessary to increase cereal production in response to the global food crisis. Population and pedigree methods of breeding, which are based on inbred line selection, are used commonly in the genetic improvement of autogamous crops. These methods, however, produce a few novel combinations of genes in a breeding population. Recurrent selection promotes recombination among genes and produces novel combinations of genes in a breeding population, but it requires inaccurate single-plant evaluation for selection. Genomic selection (GS), which can predict genetic potential of individuals based on their marker genotype, might have high reliability of single-plant evaluation and might be effective in recurrent selection. To evaluate the efficiency of recurrent selection with GS, we conducted simulations using real marker genotype data of rice cultivars. Additionally, we introduced the concept of an "island model" inspired by evolutionary algorithms that might be useful to maintain genetic variation through the breeding process. We conducted GS simulations using real marker genotype data of rice cultivars to evaluate the efficiency of recurrent selection and the island model in an autogamous species. Results demonstrated the importance of producing novel combinations of genes through recurrent selection. An initial population derived from admixture of multiple bi-parental crosses showed larger genetic gains than a population derived from a single bi-parental cross in whole cycles, suggesting the importance of genetic variation in an initial population. The island-model GS better maintained genetic improvement in later generations than the other GS methods, suggesting that the island-model GS can utilize genetic variation in breeding and can retain alleles with small effects in the breeding population. The island-model GS will become a new breeding method that enhances the potential of genomic selection in autogamous crops, especially bringing long-term improvement.

Indexed as

Genome, PlantModels, TheoreticalSelection, GeneticBiodiversityCrops, AgriculturalGenetic MarkersIslandsOryzaQuantitative Trait LociGenetic Markers

Identifiers

PMID27115872
PMCPMC4846018
OpenAlexW2345113489

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.