Evidence map›Paper›PMID 33329658›Full record

ArticleFrontiers in plant science2020

Genome-Wide Prediction of Complex Traits in Two Outcrossing Plant Species Through Deep Learning and Bayesian Regularized Neural Network.

Carlos Maldonado, Freddy Mora-Poblete, Rodrigo Iván Contreras-Soto, Sunny Ahmar, Jen-Tsung Chen, Antônio Teixeira do Amaral Júnior, Carlos Alberto Scapim

Abstract read
In one paragraph

Article in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  6. Improving plant breeding through AI-supported data integration.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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  16. Genomic selection in tropical perennial crops and plantation trees: a review.Molecular breeding : new strategies in plant improvement · 2022
    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

7 authors.

Carlos MaldonadoInstituto de Ciencias Agroalimentarias, Animales y Ambientales, Universidad de O' Higgins, San Fernando, Chile.
Freddy Mora-PobleteInstitute of Biological Sciences, University of Talca, Talca, Chile.
Rodrigo Iván Contreras-SotoInstituto de Ciencias Agroalimentarias, Animales y Ambientales, Universidad de O' Higgins, San Fernando, Chile.
Sunny AhmarInstitute of Biological Sciences, University of Talca, Talca, Chile.
Jen-Tsung ChenDepartment of Life Sciences, National University of Kaohsiung, Kaohsiung, Taiwan.
Antônio Teixeira do Amaral JúniorLaboratory de Melhoramento Genético Veget al., Universidade Estadual do Norte Fluminense Darcy Ribeiro/CCTA, Campos dos Goytacazes, Brazil.
Carlos Alberto ScapimDepartamento de Agronomia, Universidade Estadual de Maringá, Maringá, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic selection models were investigated to predict several complex traits in breeding populations of

Indexed as

Bayesian regularized neural networkdeep learningeucalyptgenomic predictionmachine learningsingle-nucleotide polymorphismstropical maize

Identifiers

PMID33329658
PMCPMC7728740

What Socratic holds

Textmetadata
LicenceCC BY
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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.