Evidence map›Paper›PMID 37758969›Full record

ArticleRice (New York, N.Y.)2023

Optimization of Multi-Generation Multi-location Genomic Prediction Models for Recurrent Genomic Selection in an Upland Rice Population.

Hugues de Verdal, Cédric Baertschi, Julien Frouin, Constanza Quintero, Yolima Ospina, Maria Fernanda Alvarez, Tuong-Vi Cao, Jérôme Bartholomé, Cécile Grenier

Abstract read
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In one paragraph

Article in Rice (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Hugues de VerdalCIRAD, UMR AGAP Institut, 34398, Montpellier, France. hugues.de_verdal@cirad.fr.
Cédric BaertschiCIRAD, UMR AGAP Institut, 34398, Montpellier, France.
Julien FrouinCIRAD, UMR AGAP Institut, 34398, Montpellier, France.
Constanza QuinteroAlliance Bioversity-CIAT, A.A.6713, Km 17 Recta Palmira Cali, Cali, Colombia.
Yolima OspinaAlliance Bioversity-CIAT, A.A.6713, Km 17 Recta Palmira Cali, Cali, Colombia.
Maria Fernanda AlvarezAlliance Bioversity-CIAT, A.A.6713, Km 17 Recta Palmira Cali, Cali, Colombia.
Tuong-Vi CaoCIRAD, UMR AGAP Institut, 34398, Montpellier, France.
Jérôme BartholoméCIRAD, UMR AGAP Institut, 34398, Montpellier, France.
Cécile GrenierCIRAD, UMR AGAP Institut, 34398, Montpellier, France. cecile.grenier@cirad.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic selection is a worthy breeding method to improve genetic gain in recurrent selection breeding schemes. The integration of multi-generation and multi-location information could significantly improve genomic prediction models in the context of shuttle breeding. The Cirad-CIAT upland rice breeding program applies recurrent genomic selection and seeks to optimize the scheme to increase genetic gain while reducing phenotyping efforts. We used a synthetic population (PCT27) of which S

Indexed as

Genomic selectionGenotype-by-environment interactionOryza sativaTraining set optimization

Identifiers

PMID37758969
PMCPMC10533757

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.