Research Scientist
Nguyen Trung Duc
Applying AI, big data and digital tools to breed climate-resilient crop varieties, and to carry them into value chains and sustainable production.
Deputy Head, Department of Vegetable and Flower Research, Vietnam National University of Agriculture · Ph.D. student, Kyushu University
Research
Sweet corn breeding
Sweet and waxy-sweet hybrids VNUA168, FC369 and MH81 are recognized for circulation. Parents and hybrids are chosen with multivariate analysis of field traits, SSR markers and combining-ability studies.
Read moreCrop breeding
Specialty corn hybrids for northern Vietnam, with parents and hybrids chosen by multi-trait indices and combining-ability analysis; the same selection tools applied to sweetpotato and taro germplasm.
Read moreMathematical modeling
Statistical and machine-learning models that predict crop traits, yield and production, and frameworks that tie those predictions to breeding decisions.
Read morePhenomics and genomics
Image-based, high-throughput phenotyping of seeds and plants, SSR markers for germplasm and sweetness genes, and genomic prediction for crops without dense genotyping.
Read moreRemote sensing and computer vision
Satellite and drone imagery with interpretable machine learning, to map and forecast production of a perennial crop across a province.
Read moreRecent papers
All publications- Interpretable Multi-Sensor Mapping of Coffee Production Systems in Dak Lak, Vietnam: Performance, Spatial Generalization, and Uncertainty
- AI-assisted genomic selection in sweetpotato: A staged roadmap for polyploid, clonal-propagated breeding
- Development and Selection of Color-Diverse White-, Purple- and Black-Kernel Supersweet Maize (Zea mays L.): Genetic Diversity, Gene Action and Combining Ability for Elite Parents and Hybrids
- From mechanistic models to breeding digital twins: Predictive plant improvement for a changing climate
Varieties
All varietiesNguyen Trung Duc is a co-author of 5 VNUA corn hybrids that are officially recognized for circulation.
