Author

Mauro Alexandre Xavier

Agronomical Institute of CampinasORCID 0000-0002-5299-8146Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Genetics· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:genome assembly· 1 Approach:machine learning (classical)· 1 Research Focus:metabolism & bioenergetics· 1 Assay:metabolomics· 1

Frequent Co-Authors

Marcos Guimarães de Andrade LandelliD· 2 shared Alexandre Hild AonoiD· 1 shared Alisson Esdras CoutinhoiD· 1 shared Ana Letycia Basso GarciaiD· 1 shared Anete Pereira de SouzaiD· 1 shared Dilermando PéreciniD· 1 shared Eduardo Caruso MachadoiD· 1 shared Estela Araújo Costa· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 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

2 shared papersGenetics

Marcos Guimarães de Andrade LandellORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Multiomic insights into sucrose accumulation in sugarcane

Alexandre Hild Aono, Ricardo José Gonzaga Pimenta, Jéssica Faversani Diniz, Marishani Marin Carrasco, Guilherme Kenichi Hosaka, Fernando Henrique Correr, Ana Letycia Basso Garcia, Estela Araújo Costa, Alisson Esdras Coutinho, Luciana Rossini Pinto, Marcos Guimarães de Andrade Landell, Mauro Alexandre Xavier, Dilermando Pérecin, Monalisa Sampaio Carneiro, Thiago Willian Almeida Balsalobre, , Anete Pereira de Souza

This study uses multiomic approaches to identify genetic variants and genes associated with sucrose accumulation in sugarcane, providing insights for breeding and biotechnology.

Plant Molecular Biology · Nov 13, 2025Peer-reviewedGenetics

Field-based prediction of sugarcane photosynthesis through environmental inputs

Rafael L. Almeida, Tamires da Silva Martins, José R. Magalhães Filho, Regina Célia de Matos Pires, Marcos Guimarães de Andrade Landell, Mauro Alexandre Xavier, Eduardo Caruso Machado, Rafael Vasconcelos Ribeiro

This study predicts sugarcane photosynthesis using environmental inputs, finding strong correlations between measured variables and modeled CO2 uptake.

bioRxiv · Mar 11, 2025 · PreprintPlant Biology