Author

Raysa Gevartosky

Universidade de São PauloORCID 0000-0003-1495-0261Unclaimed 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:statistical model· 1

Frequent Co-Authors

Germano Costa‐NetoiD· 1 shared Humberto Fanelli CarvalhoiD· 1 shared José Luis CrossaiD· 1 shared Osval Antonio Montesinos-LópeziD· 1 shared Roberto Fritsche‐NetoiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperGenetics

Germano Costa‐NetoORCID

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1 paper

Recent·Most cited

GeneticsbioRxivPreprintJun 11, 2021

Enviromic-based Kernels Optimize Resource Allocation with Multi-trait Multi-environment Genomic Prediction for Tropical Maize

Raysa Gevartosky, Humberto Fanelli Carvalho, Germano Costa‐Neto…·Roberto Fritsche‐Neto

The paper optimizes genomic prediction training sets using enviromic data and genetic algorithms, increasing genetic gains by 142% per dollar invested.

DOI 10.1101/2021.06.11.448049

statistical modelbenchmarking

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