The first experiences with cherry breeding at the VSUO in Holouvosy in the Czech Republic date back to the late 1960s. The main variety selected from this programme is Kordia, which in recent years has become one of the world's leading varieties in the medium-late ripening period, mainly due to its high fruit quality standards.
The primary objectives of the WSUO programme are cherry quality (size, texture and colour), resistance to cracking and rot, shelf life and plant productivity. MAS technologies are used in the breeding programme for the early selection of genotypes on several traits: self-fertility, spring frost resistance, drought and climate change tolerance and low chilling requirements.
WSUO, besides Kordia, has commercially propagated 28 cherry varieties. The best known are Early Korvik, Christiana, Felicita, Irena, Justyna, Kasandra, Tamara, Techlovan, Tim and Vanda.
Below is the report of Lubor Zelený, cherry breeding project manager at WSUO in Holouvosy, presented at the workshop on cherry variety innovation at Macfrut 2023.
03 Feb 2026
Post-harvest cherry management in Chile is key to next season’s fruit quality. Irrigation, organic nutrition, soil microbes and integrated systems are transforming orchards with regenerative agriculture to ensure productivity and sustainability.
07 Jul 2026
Dormancy, winter chill, cultivar and rootstock choice, pollination and climate-risk management shape sweet cherry yield and quality in Spain, from the Jerte Valley to Zaragoza, across high-value fresh-market orchards facing frost, heat, rain, cracking and yield risk.
25 Aug 2026
A University of Belgrade study in Serbia examines pollen germination, pollen tube growth and flowering phenology in six sour cherry genotypes, highlighting the decisive role of genetics, environment and phenotypic stability in orchard pollination under field conditions.
25 Aug 2026
In Chile, artificial intelligence, drones and multispectral imaging are transforming cherry farming. New technologies improve yields, treatment precision, water efficiency and crop management, while accelerating the development of increasingly automated and data-driven orchards.
