Author

Lorena Guimarães Batista

Universidade de São PauloORCID 0000-0001-8472-8776Unclaimed 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· 1 Approach:simulation· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Gabriel Rodrigues Alves MargaridoiD· 2 shared Anete Pereira de SouzaiD· 1 shared Gregor GorjanciD· 1 shared John M. HickeyiD· 1 shared P.R. AmeriD· 1 shared Robert Chris Gaynor· 1 shared Tim J. Byrne· 1 shared Victor H. MelloiD· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 18 mutual co-author links

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2 shared papersGenetics

Gabriel Rodrigues Alves MargaridoORCID

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2 papers

Recent·Most cited

GeneticsTheoretical and Applied GeneticsPeer-reviewedNov 20, 2021

Genomic prediction with allele dosage information in highly polyploid species

Lorena Guimarães Batista, Victor H. Mello, Anete Pereira de Souza, Gabriel Rodrigues Alves Margarido

This study improves genomic selection in highly polyploid species by incorporating allele dosage and dominance effects, showing significant gains in predictive ability in certain conditions.

39 citations

whole-genome sequencingstatistical model

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GeneticsPLoS ONEPeer-reviewedMay 10, 2021

Plant breeders should be determining economic weights for a selection index instead of using independent culling for choosing parents in breeding programs with genomic selection

Lorena Guimarães Batista, Robert Chris Gaynor, Gabriel Rodrigues Alves Margarido…·John M. Hickey

The paper compares index selection and independent culling in genomic selection for multi-trait breeding programs, showing index selection is more efficient when economic weights are known.

36 citations

simulationbenchmarking

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