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INTERNATIONAL SUNFLOWER ASSOCIATION

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Milan JOCKOVIC
Last name : JOCKOVIC
First name : Milan
Entrance year : 2016
Occupation : Sunflower breeding
Company : IFVC - INSTITUTE OF FIELD & VEGETABLE CROPS
Phone : +381 648 706 105
Email : [hidden for users not logged in]
Website : https://ifvcns.rs/
Birthdate : 1982/08/27
Address : Narodnog fronta 55B, 21000 Novi Sad / Serbia
Main fields of interest :
  • Crop protection
  • Crop production
  • Agronomy
Professional experience : Published more than 150 scientific papers in international and national journals, as well as in proceedings of national and international meetings. Most of the papers come from the field of biotechnology, genetics and plant breeding. Co-author on more than 70 registrated sunflower inbred lines and hybrids in Serbia, European Union and other countries.
Education : * 2008-2011 Research trainee * 2011-2016 Research Assistant, Sunflower breeding * 2016-2020 Research Associate, Sunflower Department * 2020-2024 Senior Research Associate, Sunflower breeding * 2024- Research fellow, sunflower breeding
Selected publications : *1. Horn R., Radanović A., Fuhrmann L., Sprycha Y., Hamrit S., Jocković M., Miladinović D., Jansen C. 2019. Development and Validation of Markers for the Fertility Restorer Gene Rf1 in Sunflower. International Јournal of Мolecular Sciences, 20(6): 1260. doi: 10.3390/ijms20061260 *2. Jocković J., Rajčević N., Terzić S., Zorić L., Jocković M., Miladinović D., Luković J. 2020. Pericarp features of wild perennial Helianthus L. species as a potential source for improvement of technical and technological properties of cultivated sunflower. Industrial Crops and Products, 144: 113030. https://doi.org/10.1016/j.indcrop.2019.112030 *3.7. Jocković, M.; Jocić, S.; Cvejić, S.; Marjanović-Jeromela, A.; Jocković, J.; Radanović, A.; Miladinović, D. Genetic Improvement in Sunflower Breeding-Integrated Omics Approach. Plants 2021, 10, 1150. https://doi.org/10.3390/plants10061150 *4.8. Cvejić, S., Hrnjaković, O., Jocković, M., Kupusinac, A., Doroslovački, K., Gvozdenac, S., Jocić, S.,& Miladinović, D.. (2023). Oil yield prediction for sunflower hybrid selection using different machine learning algorithms. in Scientific Reports, Nature Portfolio., 13(1), 17611. https://doi.org/10.1038/s41598-023-44999-3. *5.10. Jocković, J., Grahovac, N., Milovac, Ž., Jocković, M., Jocić, S., Marjanović Jeromela, A., & Cvejić, S. (2025). Exploring Helianthus Species for Resilience to Drought During the Critical Reproductive Stage. Plants, 14(4), 631.
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