Ricardo José Gonzaga Pimenta

Multi-omics integration reveals candidate genes and molecular mechanisms associated with resistance to sugarcane smut

The paper integrates association mapping and transcriptomics to identify candidate genes and molecular mechanisms associated with sugarcane resistance to smut.

Multiomic insights into sucrose accumulation in sugarcane

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

Sugarcane yellow leaf virus impairs the transcriptomic defense responses of sugarcane to its new aphid vector Melanaphis sorghi

This study investigates how Sugarcane yellow leaf virus (SCYLV) affects sugarcane's transcriptomic defense responses to its aphid vector Melanaphis sorghi, identifying key gene pathways and regulatory hubs.

Identifying Candidate Genes for Sugar Accumulation in Sugarcane Cultivars: From a Syntenic Genomic Region to a Gene Coexpression Network

The paper identifies three candidate genes for sugar accumulation in sugarcane using synteny analysis, BAC library screening, RNA-seq, and coexpression network analysis.

A joint learning approach for genomic prediction in polyploid grasses

This paper develops a joint learning approach to improve genomic prediction in polyploid grasses, achieving over 50% accuracy improvements over traditional methods.

The sugarcane and sorghum kinomes: insights into evolutionary expansion and diversification

This study profiles the kinomes of sugarcane and sorghum, identifying PKs and their evolutionary relationships, and provides expression patterns and coexpression networks.

Machine learning approaches reveal genomic regions associated with sugarcane brown rust resistance

The paper uses machine learning to identify genomic regions associated with sugarcane brown rust resistance by analyzing SNP data from full-sib progeny.