Prediction of organogenesis of using artificial neural networks and regression models.

This study was conducted to determine if artificial neural networks (ANN) can be used to accurately predict organogenesis of compared with statistical regression. Prediction models were developed for shoot and root organogenesis (outputs) on two culture media (Murashige and Skoog and Gamborg B5) affected by two explant types (leaf and node) and two cytokinins (6-Benzylaminopurine and Thidiazuron at 1.0, 5.

Micropropagation of Rare Jacq. and Preliminary Studies on Antioxidant Capacity and Anti-Cancer Potential.

We report the development of in vitro propagation protocols through an adventitious shoot induction pathway for a rare and medicinal In vitro propagation studies using nodal explants showed MS medium supplemented with 10 µM 6-Benzylaminopurine induced the highest number of adventitious shoots in a time-dependent manner. A ten-day incubation was optimum for shoot bud induction as longer exposures resulted in hyperhydricity of the explants and shoots induced. We also report preliminary evidence of EHA105-mediated gene transfer transiently expressing the green fluorescent protein in this species.