Author

Filipe Manoel Ferreira

Universidade Estadual Paulista (Unesp)ORCID 0000-0002-7847-8333Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Genetics· 2 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Research Focus:benchmarking· 1 Organism:E. coli· 1

Frequent Co-Authors

Kaio Olímpio das Graças DiasiD· 3 shared Leonardo Lopes BheringiD· 2 shared Rodrigo Silva AlvesiD· 2 shared Saulo Fabrício da Silva ChavesiD· 2 shared Alexandre Bryan HeinemanniD· 1 shared André Ricardo Gomes BezerraiD· 1 shared André Vieira do Nascimento· 1 shared Elizabete Keiko TakahashiiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersGenetics

Kaio Olímpio das Graças DiasORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

GenomicsbioRxivPreprintFeb 3, 2025

Unraveling the inbreeding depression patterns in a self-pollinated eucalyptus population

Filipe Manoel Ferreira, João A Vieira-Netto, Guilherme Ferreira Melchert…·Evandro Vagner Tambarussi

This study examines inbreeding depression in a self-pollinated eucalyptus population by analyzing genomic and phenotypic data to estimate inbreeding depression and genetic parameters.

DOI 10.1101/2025.02.03.636226

E. colistatistical model

𝕏 PostBluesky

GeneticsTheoretical and Applied GeneticsPeer-reviewedMar 12, 2024

GIS-FA: An approach to integrate thematic maps, factor-analytic and envirotyping for cultivar targeting

Maurício dos Santos Araújo, Saulo Fabrício da Silva Chaves, Luíz Antônio dos Santos Dias…·Kaio Olímpio das Graças Dias

The paper introduces GIS-FA, a method integrating GIS, factor-analytic models, and envirotyping to predict cultivar performance in untested environments and support decision-making.

34 citationstop 2%

statistical modelbenchmarking

𝕏 PostBluesky

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

𝕏 PostBluesky