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Decoding Leafy Head Formation in Brassica Using Machine Learning

Decoding Leafy Head Formation in Brassica Using Machine Learning

In short

PhD defence
  • 15 April 2026
  • 10.30 - 12.00 h
  • Auditorium Omnia, building 105, Wageningen Campus
  • Livestream available

Summary

Have you ever wondered why some cabbages form tight, round heads while others just grow loose leaves? This PhD research uses artificial intelligence to unravel the mystery behind this process. By training computer models to recognize patterns in plant genes, this study identifies the key genetic "switches" that make leaves curl inward and form the compact heads we see in Chinese cabbage and cabbage. The findings not only shed light on how these vegetables evolved over thousands of years of farming, but also open new doors for breeding better crops in the future.

PhD candidate

The candidate for the defence "Decoding Leafy Head Formation in Brassica Using Machine Learning"

W (Wei) Sun, MSc

PhD candidate

About the PhD defence

Date

Wed 15 April 2026
10:30 - 12:00

Organisational unit

Wageningen University & Research, Plant Breeding, EPS

PhD candidate

External Promotor(s)

Dr. Richard Immink