Next-Generation Sequencing (NGS)
We utilize state-of-the-art sequencing technologies to explore the genetic diversity of ICRISAT’s mandate crops and associated organisms. These tools provide insights into crop genomes, pangenomes, pathogens, pests, and beneficial microorganisms, enabling the discovery of genes and genetic variations linked to important agronomic traits.
Bioinformatics, Data Science and AI-Enabled Analytics
Our scientists apply advanced bioinformatics, data analytics, machine learning, and predictive modelling tools to manage and interpret large-scale genomic and phenotypic datasets. These approaches help identify trait-associated markers, understand genetic variation, and support data-driven breeding decisions.
Marker Development and Genotyping
The theme develops and deploys cost-effective genotyping platforms and trait-linked molecular markers that support germplasm characterization, genomic selection, marker-assisted breeding, variety identification, genetic purity assessment, and seed quality assurance. These tools increase the speed and precision of crop improvement programs.
Trait Mapping and Validation
We employ forward and reverse genetics approaches to identify, validate, and understand the genetic basis of key traits. These methods help uncover genes and genomic regions associated with drought tolerance, heat resilience, pest and disease resistance, nutritional quality, and other priority characteristics for dryland agriculture.
High-Throughput Phenotyping
Advanced phenotyping platforms enable the rapid and accurate measurement of plant performance under diverse field and controlled-environment conditions. Through imaging systems, sensors, automation, and digital technologies, we generate high-quality data that supports trait discovery, validation, and selection.
Genomic Prediction and Predictive Breeding
The theme develops genomic prediction models and breeding decision-support tools that enable breeders to identify superior breeding materials earlier and more efficiently. These approaches help shorten breeding cycles and accelerate the delivery of improved varieties.
Genome Editing and Emerging Technologies
We explore emerging technologies, including genome editing platforms such as CRISPR-based approaches, to better understand gene function and accelerate the development of improved crop varieties. These technologies complement conventional breeding and support the rapid deployment of valuable traits.
Digital Platforms and Knowledge Systems
The theme develops analytical tools, databases, and digital platforms that facilitate the management, sharing, and utilization of genetic, genomic, and phenotypic data. These resources strengthen collaboration and support breeding programs across ICRISAT and its partner networks.
Through the application of these tools and technologies, the Trait Discovery and Delivery Theme helps identify, validate, and deploy traits that enhance crop performance and resilience. Working closely with breeding programs and partners, the theme contributes to the development of improved varieties that support food and nutrition security, sustainable livelihoods, and resilient agricultural systems in dryland regions.