Waseem Hussain

This paper identifies flood-tolerant rice genotypes with improved submergence and stagnant flooding tolerance, surpassing SUB1A gene-based tolerance, and introduces a new breeding strategy called TTE to enhance genetic gain in flood-prone environments.

The paper estimates genetic gains in IRRIs rice salinity breeding programs and develops an elite breeding panel to improve future breeding strategies for salinity-tolerant high-yielding rice lines.

DeepMap is a deep learning-based genomic prediction tool that outperforms existing models in predicting crop phenotypes using genotype data.

This study uses data-driven exploratory factor analysis and Bayesian networks to identify latent phenotypes and their genetic relationships in wheat, revealing how traits like yield and disease resistance are interrelated.

This study applies variance heterogeneity genome-wide association mapping to identify novel genomic loci and epistatic interactions influencing grain cadmium concentration in bread wheat.

ShinyAIM provides an interactive tool for visualizing longitudinal GWAS results through Manhattan plots and dynamic data exploration.