Project

Haplotagging

Food security and climate change are two of the greatest challenges facing humanity. With shrinking farmland and a growing population, we need Smart Breeding technologies: technologies that accelerate the creation of crop varieties that increase yield, resist disease, and tolerate heat and drought. Today, many bottlenecks exist to make Smart Breeding affordable only to the largest breeders and staple crops.

Our solution is haplotagging, a new DNA sequencing method built around microbeads. It simplifies complex lab work into a single, easy-to-use reagent, and adds valuable “haplotype” context to the sequence. This extra information improves accuracy, uncovers more variation, and, when combined with advanced analytics, enables Smart Breeding across all crops, including wild varieties, while cutting both cost and development time.

Haplotagging can overcome the current bottlenecks, allowing breeders to grow more food on less land, manage climate risks, preserve genetic diversity, and expand crop options. By democratizing Smart Breeding, we help commercial breeders, both large and small, many of which are based in the Netherlands, to maintain leadership in high-tech farming. In this project, our first step is to partner with leading and mid-size growers to apply haplotagging in breeding, genome profiling, and new variety development, while building market insight and a strong business case for scaling this innovation.

Project team

Prof. dr. Yingguang Frank Chan (Co-Project Leader, GELIFES, Univ. Groningen); Prof. dr. Gerton Lunter (Co-Project Leader, UMCG), Marek Kučka

Project Number

BIOB25010

Year granted

2025

Status

Ongoing

Applicant

University of Groningen

Funding

€ 196.545

Sector/Industry

Agri- & Horticulture

SDG's

Zero hunger (SDG 2)
Reduced inequalities (SDG 10)
Responsible consumption and production (SDG 12)
Climate action (SDG 13)
Life below water (SDG 14)
Life on land (SDG 15)

Thematic Cluster

TC2: Agriculture & Food

Level

Level 1
Molecuul

2025

Year granted

University of Groningen

Applicant

€ 196.545

Project funded
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