Anirup Sengupta, a 25-year-old PhD student at the University of Saskatchewan, is using genomic sequencing, artificial intelligence, and predictive breeding tools to accelerate crop development while keeping farmers' real-world needs at the center of his research. As one of three recipients of the 2026 Canadian Plant Breeding Innovation Scholarship, Sengupta is tackling a crop that has never reached its full potential: cicer milkvetch, a perennial forage legume that reduces bloat in grazing livestock but has struggled with poor germination and weak seedling establishment.

What Is Genomic Selection and Why Does It Matter for Farmers?

At the heart of Sengupta's work is a concept that sounds technical but has profound practical implications. He is creating the first reference genome for cicer milkvetch, essentially a complete genetic blueprint that allows researchers to identify genes linked to traits like seedling vigor, disease resistance, and stress tolerance. This reference genome becomes a roadmap for plant breeders who previously had to rely on years of field testing to identify promising breeding lines.

Genomic selection uses DNA markers and predictive models to identify the best breeding candidates long before traditional field trials are complete. As Sengupta explained, this approach saves time and resources. "Instead of waiting several growing seasons," he said, "breeders can make decisions much earlier, save a lot of time and resources in the breeding program, and help accelerate genetic gains".

As Sengupta

How Are Genomics and AI Changing Plant Breeding?

The transformation happening in agriculture reflects a broader shift toward predictive rather than purely observational breeding. Advances in DNA sequencing technology, computational biology, machine learning, and environmental data analysis are giving plant scientists tools their predecessors could scarcely imagine. Yet Sengupta emphasizes that these tools are not meant to replace traditional breeding expertise; they are meant to enhance it.

Sengupta believes the future lies in combining multiple approaches:

• Traditional Breeding Knowledge: The accumulated expertise and intuition of experienced plant breeders who understand crop behavior in real-world conditions.
• Genomic Tools: DNA sequencing and genetic analysis that reveal the underlying genetic basis of desirable traits.
• Artificial Intelligence and Big Data: Machine learning models and large environmental datasets that help predict which genetic combinations will perform best under different conditions.

"The future of crop improvement would be to combine the strengths of traditional breeding, the breeders' knowledge and expertise, with genomics, AI, and big data approaches. It is not basically replacing the breeders. It is giving them much more precise tools to make faster and smarter decisions," Sengupta explained.

Anirup Sengupta, PhD Student at University of Saskatchewan

Why Does Sengupta Caution Young Researchers About Technology?

Despite his enthusiasm for genomic tools, Sengupta offers an important warning for researchers eager to adopt every new technology. He notes that young scientists can sometimes become so excited about new tools that they end up with "a solution looking for a problem." Instead, he argues that the biological or agricultural question should always come first, with technology serving as a means to answer it, not as the goal itself.

Sengupta

This philosophy reflects a deeper understanding of how science creates real-world impact. Sengupta has devoted time to teaching, mentoring, and outreach throughout his academic career because he believes that research only matters when people understand and apply it. "Research only creates impact when people understand and apply it," he noted. "As researchers, we often work with highly technical concepts, but ultimately our work affects farmers, industry, policymakers, students, and the public".

What Does the Future of Plant Genomics Look Like?

As DNA sequencing becomes less expensive and computational tools become more accessible, Sengupta believes plant genomics is entering a new era. He sees the convergence of genomics, artificial intelligence, and increasingly affordable sequencing technologies as transformative for agriculture. These advances are giving researchers the ability to understand crops at an incredibly detailed level, from individual genes all the way to how plants interact with changing environments.

The implications extend well beyond any single crop. While Sengupta acknowledges that plant genomics alone will not solve agriculture's biggest challenges, he believes it will be one of the most important tools helping agriculture adapt to climate change and global food security pressures. "Plant genomics will not solve everything on its own," he stated, "but I believe it will be one of the most important tools that helps agriculture adapt to the challenges we are facing in the real world right now".

While Sengupta

Sengupta's work on cicer milkvetch exemplifies how the next generation of plant scientists is approaching crop improvement. By grounding cutting-edge genomic and AI tools in real agricultural challenges, and by maintaining a commitment to explaining science clearly to farmers and policymakers, researchers like Sengupta are helping ensure that technological advances translate into tangible benefits for food security and sustainable agriculture.