University of Georgia

A website from the College of Agricultural and Environmental Sciences

Blueberry Breeding

Research Publications

  1. Ru, S.S., Y. Chu, M. Trandel, M. Ehlenfeldt 2026. A review of rabbiteye blueberry breeding: from historical foundations to future opportunities. Journal of the American Society for Horticultural Science (JASHS) 6: 489-506.
  2. McCulloch, J., J.A. Grant, Y. Chu, A.A. Sial 2026. Using a simulation model to assess the significance of temperature and host availability for population dynamics of Drosophila suzukii (Diptera: Drosophilidae). PLOS One 21(7):e0351723.
  3. Tan, C., N. Gao, Y. Chu, C. Li 2026. BerryFlowerNet: A custom convolutional neural network for blueberry flower cluster detection and counting with a field phenotyping  robot. Agriculture 16:1159.
  4. Walter, E., P.M. Lyrene, and Y. Chu. 2025. Polyploidy induction of wild diploid blueberry V. fuscatum. Horticulturae 11:921.
  5. Abdolshahi, R., C. Hardner, D. Main, S. Jung, Y. Chu, and S. Ru (2025) Pedigree analysis of rabbiteye blueberry (Vaccinium virgatum Aiton) indicates limited genetic diversity. HortScience 60:1260-1267.
  6. Borghi, M., L.W. DeVetter, P.P. Edger, M. Gutensohn, E. Grotewold, R. Sagili, K.K. Graham, M.A. Body, C. Li, S.P. Galinato, A. Melathopoulos, J.H. Cane, P. Sandefur, A.D. Luz, R.N. Schaeffer, C. Rering, S. Jadhav, Y. Chu, and D.H. Chitwood. 2025. Enhancing entomophilous pollination for sustainable crop production. The Plant Journal 122:e70234.
  7. Chu, Y., J. Clevenger, K. Lee, J. Zhang, and L. Changying. 2025. Genetic breeding to improve freeze tolerance in blueberries, a review. Horticulturae 11:614.
  8. Chu, Y. and P.M. Lyrene. 2025. Artificial induction of polyploidy in blueberry breeding: A review. HortScience 60:100-110.
  9. Walter, E., A. Biswal, P. Ozias-Akins, and Y. Chu. 2025. Leaf organogenesis improves recovery of solid polyploid shoots from chimeric southern highbush blueberry. BioTech 14:48.
  10. Zhang, J., J. Maleski, H. Ashrafi, J.A. Spencer, and Y. Chu. 2024. Open-source high-throughput phenotyping for blueberry yield and maturity prediction across environments: neural network model and labeled dataset for breeders. Horticulturae 10:1332.
Dr. Chu’s Google Scholar Profile