Evidence map›Paper›PMID 39312266›Full record

ArticleG3 (Bethesda, Md.)2024

Cross potential selection: a proposal for optimizing crossing combinations in recurrent selection using the usefulness criterion of future inbred lines.

Kengo Sakurai, Kosuke Hamazaki, Minoru Inamori, Akito Kaga, Hiroyoshi Iwata

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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.

Kengo SakuraiGraduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo 113-8657, Japan.ORCID 0000-0001-7773-289X
Kosuke HamazakiMolecular Informatics Team, RIKEN Center for Advanced Intelligence Project (AIP), RIKEN, Chiba 277-0871, Japan.ORCID 0000-0002-7486-7438
Minoru InamoriGraduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo 113-8657, Japan.ORCID 0000-0003-0692-0791
Akito KagaSoybean and Field Crop Applied Genomics Research Unit, Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba 305-8518, Japan.ORCID 0000-0002-8388-3616
Hiroyoshi IwataGraduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo 113-8657, Japan.ORCID 0000-0002-6747-7036

Funding

JSPS International Leading Research 22K21352JSPS KAKENHI 22H02306JST SPRING JPMJSP2108NARO Development of Innovative Technology Application 04007A2
6 · The paper itself

Abstract

In plant breeding programs, rapid production of novel varieties is highly desirable. Genomic selection allows the selection of superior individuals based on genomic estimated breeding values. However, it is worth noting that superior individuals may not always be superior parents. The choice of the crossing pair significantly influences the genotypic value of the resulting progeny. This study has introduced a new crossing strategy, termed cross potential selection, designed to expedite the production of novel varieties of inbred crops. Cross potential selection integrates fast recurrent selection and usefulness criterion to generate novel varieties. It considers the segregation of each crossing pair and computes the expected genotypic values of the top-performing individuals, assuming that the progeny distribution of genotypic values follows a normal distribution. It does not consider genetic diversity and focuses only on producing a novel variety as soon as possible. We simulated a 30-year breeding program in 2 scenarios, low heritability (h2=0.3) and high heritability (h2=0.6), to compare cross potential selection with 2 other selection strategies. Cross potential selection consistently demonstrated the highest genetic gains among the 3 strategies in early cycles. In the 3rd year of the breeding program with a high heritability (h2=0.6), cross potential selection exhibited the highest genetic gains, 138 times that of 300 independent breeding simulations. Regarding long-term improvement, the other selection strategies outperformed cross potential selection. Nevertheless, compared with the other 2 strategies, cross potential selection achieved significant short-term genetic improvements. Cross potential selection is a suitable breeding strategy for the rapid production of varieties within limited time and cost.

Indexed as

Plant BreedingSelection, GeneticComputer SimulationCrops, AgriculturalCrosses, GeneticGenotypeInbreedingModels, Geneticbreeding strategycross selectionprogeny distributionshort-term genetic improvement

Identifiers

PMID39312266
PMCPMC11540310

What Socratic 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 Socratic graph.