Author

F. Breseghello

EmbrapaORCID 0000-0002-5476-7173Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2

Frequent Co-Authors

Kaio Olímpio das Graças DiasiD· 2 shared Alexandre Bryan HeinemanniD· 1 shared André Ricardo Gomes BezerraiD· 1 shared Filipe Manoel FerreiraiD· 1 shared Germano Costa‐NetoiD· 1 shared Guilherme Rodrigues PereiraiD· 1 shared Gustavo Eduardo MarcattiiD· 1 shared Luíz Antônio dos Santos DiasiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersGenetics

Kaio Olímpio das Graças DiasORCID

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2 papers

Recent·Most cited

GeneticsEuphyticaPeer-reviewedOct 3, 2025

Predictive Ability of Enviromic Modeling in GxE Interactions for Upland Rice Site Recommendations

Marco Antônio Marcelino Bahia, Gustavo Eduardo Marcatti, F. Breseghello…·Rafael Tassinari Resende

This study evaluates enviromic models for predicting upland rice productivity in Brazil by integrating environmental and genetic data, finding that comprehensive environmental covariates improve model stability and accuracy.

5 citations

statistical modelbenchmarking

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