Abstract:
Plant Tissue culture is a method for plant propagation under in vitro conditions. Different types and parts of plants (known as explants) may be cultivated in vitro. These may be organs (roots, stems, shoot tips, leaves and fruit); tissues; cells (suspension cultures) and special tissues and organs such as embryos,anthers, pollen and protoplasts. Plant tissue culture is a laborious and time-consuming technique. Potentially, modeling or computer simulation can provide a useful method for gaining insight into these complex processes by reducing the time needed to screen numerous hormonal combinations. We present a simulation application based on multiple regression models deployed on a grid computing infrastructure. The application simulates the plant tissue culture experiments and predicts the amount and combinations of auxins and cytokinins needed to yield optimal growth of propagules. The results obtained from the simulation showed over 67% prediction accuracy as compared to the laboratory experiments.
