Beyond the Bottleneck: Predicting Regeneration Potential in Sunflower Through Integrated Morphological and Statistical Profiling
- DOI
- 10.3390/ijms27020809
- Published
- 2026-01-14
- Container
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/ijms27020809,
title = {Beyond the Bottleneck: Predicting Regeneration Potential in Sunflower Through Integrated Morphological and Statistical Profiling},
author = {Kimon Ionas and Mirjana Vukosavljev and Emilija Bulić and Aleksandra Radanović and Siniša Jocić and Ankica Kondić-Špika and Dragana Miladinović},
year = {2026},
journal = {International Journal of Molecular Sciences},
doi = {10.3390/ijms27020809},
url = {https://doi.org/10.3390/ijms27020809}
}RIS
TY - JOUR TI - Beyond the Bottleneck: Predicting Regeneration Potential in Sunflower Through Integrated Morphological and Statistical Profiling AU - Kimon Ionas AU - Mirjana Vukosavljev AU - Emilija Bulić AU - Aleksandra Radanović AU - Siniša Jocić AU - Ankica Kondić-Špika AU - Dragana Miladinović PY - 2026 JO - International Journal of Molecular Sciences DO - 10.3390/ijms27020809 UR - https://doi.org/10.3390/ijms27020809 ER -
APA
Ionas, K., Vukosavljev, M., Bulić, E., Radanović, A., Jocić, S., Kondić-Špika, A., & Miladinović, D. (2026). Beyond the Bottleneck: Predicting Regeneration Potential in Sunflower Through Integrated Morphological and Statistical Profiling. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms27020809
Source records
- crossref · retrieved 2026-09-26T05:05:19.365Z