Evidence map›Paper›PMID 37762107›Full record

ArticleInternational journal of molecular sciences2023

Multivariate Genomic Hybrid Prediction with Kernels and Parental Information.

Osval A Montesinos-López, José Crossa, Carolina Saint Pierre, Guillermo Gerard, Marco Alberto Valenzo-Jiménez, Paolo Vitale, Patricia Edwigis Valladares-Cellis, Raymundo Buenrostro-Mariscal, Abelardo Montesinos-López, Leonardo Crespo-Herrera

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Osval A Montesinos-LópezFacultad de Telemática, Universidad de Colima, Colima 28040, Colima, Mexico.
José CrossaInternational Maize and Wheat Improvement Center (CIMMYT), Km 45, Carretera México-Veracruz, Texcoco 52640, México, Mexico.
Carolina Saint PierreInternational Maize and Wheat Improvement Center (CIMMYT), Km 45, Carretera México-Veracruz, Texcoco 52640, México, Mexico.ORCID 0000-0003-1291-7468
Guillermo GerardInternational Maize and Wheat Improvement Center (CIMMYT), Km 45, Carretera México-Veracruz, Texcoco 52640, México, Mexico.ORCID 0000-0002-9112-3588
Marco Alberto Valenzo-JiménezUniversidad Michoacana de San Nicolas de Hidalgo (UMSNH), Avenida Francisco J. Mujica S/N Ciudad Universitaria, Morelia 58030, Michoacán, Mexico.ORCID 0000-0001-6155-5948
Paolo VitaleInternational Maize and Wheat Improvement Center (CIMMYT), Km 45, Carretera México-Veracruz, Texcoco 52640, México, Mexico.
Patricia Edwigis Valladares-CellisBachillerato 22, Universidad de Colima, Cuauhtémoc 28510, Colima, Mexico.
Raymundo Buenrostro-MariscalFacultad de Telemática, Universidad de Colima, Colima 28040, Colima, Mexico.ORCID 0000-0003-1449-1982
Abelardo Montesinos-LópezCentro Universitario de Ciencias Exactas e Ingenierías (CUCEI), Universidad de Guadalajara, Guadalajara 44430, Jalisco, Mexico.
Leonardo Crespo-HerreraInternational Maize and Wheat Improvement Center (CIMMYT), Km 45, Carretera México-Veracruz, Texcoco 52640, México, Mexico.ORCID 0000-0003-0506-4700

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic selection (GS) plays a pivotal role in hybrid prediction. It can enhance the selection of parental lines, accurately predict hybrid performance, and harness hybrid vigor. Likewise, it can optimize breeding strategies by reducing field trial requirements, expediting hybrid development, facilitating targeted trait improvement, and enhancing adaptability to diverse environments. Leveraging genomic information empowers breeders to make informed decisions and significantly improve the efficiency and success rate of hybrid breeding programs. In order to improve the genomic ability performance, we explored the incorporation of parental phenotypic information as covariates under a multi-trait framework. Approach 1, referred to as

Indexed as

Hybridization, GeneticModels, GeneticGenome, PlantGenomicsPhenotypePlant Breedinghybrid predictionintegrationmulti-traitparental information

Identifiers

PMID37762107
PMCPMC10531250

What OpenQuestion holds

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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 OpenQuestion graph.