Beyond the Bottleneck: Predicting Regeneration Potential in Sunflower Through Integrated Morphological and Statistical Profiling
Kimon Ionas, Mirjana Vukosavljev, Emilija Bulić, Aleksandra Radanović, Siniša Jocić, Ankica Kondić-Špika, Dragana Miladinović

TL;DR
This study identifies key factors influencing sunflower regeneration and proposes a framework to improve breeding and genetic modification.
Contribution
The paper introduces a novel framework integrating morphological and statistical profiling to predict sunflower regeneration potential.
Findings
Root formation at 14 days is a strong early predictor of successful organogenesis.
Medium R4 supports superior regeneration through root formation compared to S1 medium.
Callus presence is widespread but not a reliable predictor of regeneration success.
Abstract
This study presents the first integrated analysis of genotype–medium interactions and temporal morphogenesis profiling in sunflower regeneration. It aims to characterize genotype-specific responses, identify predictive morphological markers, and develop a scalable framework for breeding and transformation. Eighteen sunflower genotypes were evaluated to assess organogenic performance. The model genotype Ha-26-PR was used for a complementary experiment, testing varying sucrose concentrations to examine their influence on morphogenic outcomes. Hierarchical Cluster Analysis (HCA), guided by the Elbow method, identified four optimal clusters (K = 4). These aligned with three biologically meaningful categories: High Regenerators (Cluster 1), Moderate/Specific Regenerators (Clusters 2 and 3), and Non-Regenerators (Cluster 4). On S1 medium, NO-SU-12 and AS-1-PR showed superior shoot…
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Taxonomy
TopicsPlant tissue culture and regeneration · Sunflower and Safflower Cultivation · Seed Germination and Physiology
