Author

Salvador Alejandro Gezan

VSN International (United Kingdom)ORCID 0000-0002-5025-2658Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Elizabete Keiko TakahashiiD· 1 shared Esteban Fernando RiosiD· 1 shared Filipe Manoel FerreiraiD· 1 shared Janeo Eustáquio de Almeida FilhoiD· 1 shared João E. Souza· 1 shared José Marcelo Soriano VianaiD· 1 shared Kaio Olímpio das Graças DiasiD· 1 shared Leonardo Lopes BheringiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperGenetics

Elizabete Keiko TakahashiORCID

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2 papers

Recent·Most cited

GeneticsbioRxivPreprintApr 14, 2023

A data-driven approach for enhancing forest productivity by accounting for indirect genetic effects

Filipe Manoel Ferreira, Saulo Fabrício da Silva Chaves, Leonardo Lopes Bhering…·Kaio Olímpio das Graças Dias

The paper develops a method to enhance forest productivity by analyzing indirect genetic effects in clonal composites of Eucalyptus hybrids.

DOI 10.1101/2023.04.14.536978

statistical model

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GenomicsG3 Genes Genomes GeneticsPeer-reviewedJul 15, 2021

Genomic Prediction in Family Bulks Using Different Traits and Cross-Validations in Pine

Esteban Fernando Rios, Mário Henrique Murad Leite Andrade, Márcio F. R. Resende…·Patricio Muńoz

This study evaluates genomic prediction in family bulks for loblolly pine, finding that GWFP outperforms individual GEBV predictions and is suitable for breeding programs using family-level selection.

13 citations

whole-genome sequencingstatistical model

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