Evidence map›Paper›PMID 39539292›Full record

ArticleFrontiers in plant science2024

Genomic selection in forest trees comes to life: unraveling its potential in an advanced four-generation

Damián Duarte, Esteban J Jurcic, Joaquín Dutour, Pamela V Villalba, Carmelo Centurión, Dario Grattapaglia, Eduardo P Cappa

Abstract read
In one paragraph

Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  4. Article
  5. Genomic Prediction in a Self-Fertilized Progenies ofPlants (Basel, Switzerland) · 2025
    Article
  6. 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

7 authors.

Damián DuarteForestal Oriental, UPM, Paysandú, Uruguay.
Esteban J JurcicInstituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Recursos Biológicos, Centro de Investigación en Recursos Naturales, Buenos Aires, Argentina.
Joaquín DutourForestal Oriental, UPM, Paysandú, Uruguay.
Pamela V VillalbaInstituto de Agrobiotecnología y Biología Molecular (IABiMo), INTA-CONICET, Buenos Aires, Argentina.
Carmelo CenturiónForestal Oriental, UPM, Paysandú, Uruguay.
Dario GrattapagliaPlant Genetics Laboratory, EMBRAPA Genetic Resources and Biotechnology, Brasilia, Brazil.
Eduardo P CappaInstituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Recursos Biológicos, Centro de Investigación en Recursos Naturales, Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic Selection (GS) in tree breeding optimizes genetic gains by leveraging genomic data to enable early selection of seedlings without phenotypic data reducing breeding cycle and increasing selection intensity. Traditional assessments of the potential of GS in forest trees have typically focused on model performance using cross-validation within the same generation but evaluating effectively realized predictive ability (RPA) across generations is crucial. This study estimated RPAs for volume growth (VOL), wood density (WD), and pulp yield (PY) across four generations breeding of

Indexed as

Eucalyptusgenomic selection effectivenessobserved breeding valuepredicted genomic breeding valueseedling stage

Identifiers

PMID39539292
PMCPMC11558521

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.