A. H. Aono

Molecular attributes of the tropical tree Avicennia schaueriana involved in the response and tolerance to low temperatures

This study investigates the molecular response of Avicennia schaueriana to freezing stress, revealing differences between equatorial and subtropical populations.

Elucidating molecular responses to spittlebug attack in Paspalum regnellii

This study analyzes molecular responses of Paspalum regnellii to spittlebug attack using transcriptomics and network modeling, identifying genotype-specific defense mechanisms.

A novel image-based approach for soybean seed phenotyping using machine learning techniques

This paper develops an image-based machine learning framework for soybean seed phenotyping, achieving high accuracy in segmentation and prediction of hundred-seed weight.

The rubber tree kinome: genome-wide characterization and insights into coexpression patterns associated with abiotic stress responses

This study characterizes the kinome of Hevea brasiliensis, identifying 2,842 PK genes and analyzing their expression and coexpression patterns under abiotic stress conditions.

Multiomic investigation of sugarcane mosaic virus resistance in sugarcane

This study identifies SNPs associated with sugarcane mosaic virus resistance using GWAS and machine learning, and annotates markers to uncover biological processes involved in resistance.

Genome-wide characterization of the common bean kinome: catalog and insights into expression patterns and genetic organization

The paper characterizes the common bean kinome, identifying 1,203 PKs and analyzing their classification, distribution, structure, and expression patterns using RNA-Sequencing data.

Taxonomically Restricted Genes are Associated with Responses to Biotic and Abiotic Stresses in Sugarcane (Saccharum spp.)

This study identifies and characterizes orphan genes in sugarcane, showing their expression patterns and stress responses, particularly under cold and osmotic stress conditions.

Unravelling Rubber Tree Growth by Integrating GWAS and Biological Network-Based Approaches

This study integrates GWAS and multiomics approaches to identify genes and molecular interactions associated with rubber tree growth under water stress.

A Stomata Classification and Detection System in Microscope Images of Maize Cultivars

This paper proposes a deep learning-based system for automatic stomata classification and detection in maize cultivar microscope images, achieving 97.1% accuracy.

Genome-wide approaches for the identification of markers and genes associated with sugarcane yellow leaf virus resistance

The paper identifies markers and genes associated with sugarcane yellow leaf virus resistance using genome-wide association analyses and machine learning.