About Plant-Genetix
Empowering plant breeders with genomic analytics, predictive modeling, and intelligent decision-support tools.
Email: info@plant-genetix.com
Website: plant-genetix.com
Our Mission
Plant-Genetix exists to accelerate genetic gain in breeding programs by bridging traditional plant breeding methods with modern computational genomics. We support researchers, seed companies, and breeders by building data-driven pipelines that improve selection accuracy, reduce trial costs, and uncover the genetic architecture behind key traits.
Our Vision
We envision a future where plant breeders—regardless of program size—have access to world-class genomic-enabled decision tools. By leveraging modern analytics, breeders can accelerate the development of resilient, high-yielding, and climate-adapted varieties that meet global food and environmental demands.
What We Do
Our expertise spans quantitative genetics, statistical modeling, machine learning, and multi-environment trial analytics. We partner with breeding programs working on tea, canola, ornamentals, bioenergy crops, and other species to deliver insights that shape smarter breeding decisions.
Genomic Selection
Improve trait prediction using BLUP models, linear mixed models, and machine learning algorithms tailored to your breeding pipeline.
Sparse Testing
Reduce multi-environment trial costs through optimized experimental design without sacrificing prediction accuracy.
Trait Heritability
Quantify genetic variance components, environmental influence, and breeding value estimation for key traits.
Genotype × Environment Interaction
Interpret G×E interactions and identify genotype stability, adaptability, and region-specific recommendations.
Breeding Program Design
Support in designing crossing schemes, trial layouts, selection intensity, and data analysis workflows.
GWAS & QTL Mapping
Identify genomic regions linked to important agronomic traits to boost marker-assisted and genomic selection.
Experience & Impact
With over a decade of research and applied breeding analytics experience, we’ve supported R&D projects across six crop species and delivered insights into more than fifteen breeding initiatives. Plant-Genetix combines domain-specific knowledge with computational expertise to deliver actionable results.
Meet the Team
Plant-Genetix brings together expertise in quantitative genetics, machine learning, bioinformatics, and applied breeding science.
Dr. Nelson Lubanga
Founder & Lead Geneticist
Specializes in genomic prediction, multi-environment trial analysis, and computational breeding strategies. Over 10 years of experience supporting breeding programs across tea, canola, ornamentals, and bioenergy crops.
Antonio Gorbachev
Software Engineer & Data Scientist
Specializes in TypeScript, Python, and data-driven application development. Builds scalable data pipelines, scientific tooling, and integrates machine learning workflows to support modern research analytics.