| Naziv: | AI applications in genomic breeding of confectionery sunflower lines for drought tolerance |
Autori: | Hladni, Nada   ; Radanović, Aleksandra ; Kisačanin, Branislav; Petrović, Veljko; Miklič, Vladimir ; Miladinović, Dragana |
Godina: | 2026 |
Publikacija: | Book of Abstracts, 6th International Symposium on Broomrape in Sunflower and 1st Meeting on Sunflower Biotic and Abiotic Stress (ORO-STRESS 2026), 15-18 June 2026, Novi Sad, Serbia |
Izdavač: | Novi Sad : Institute of Field and Vegetable Crops |
Tip rezultata: | Konferencijski rad |
ISBN: | 978-86-86221-03-2  Pretraži identifikator |
Kolacija: | str. 82-82 |
URI: | https://fiver.ifvcns.rs/handle/123456789/6240
https://enauka.gov.rs/handle/123456789/1044309 |
Projekat: | Proof of Concept project Modern Machine Learning Techniques for Small Datasets with Application of Breeding of Sunflower and Soy, through the financial support of Serbia Accelerating Innovation and Entrepreneurship (SAIGE) Project
Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200032 (Naučni institut za ratarstvo i povrtarstvo, Novi Sad)
Climate Crops - Centre of Excellence for Innovations in Breeding of Climate-Resilient Crops, Institute of Field and Vegetable Crops
Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200156 (Univerzitet u Novom Sadu, Fakultet tehničkih nauka)
Faculty of Technical Sciences, University of Novi Sad through project “Scientific and Artistic Research Work of Researchers in Teaching and Associate Positions at the Faculty of Technical Sciences, University of Novi Sad 2026” (No. 01-3609/1) |
M-kategorija: | |
