COMPUTER ASSISTED ANALYSIS OF PLANT GROWTH REGULATORS FOR EFFICIENT IN VITRO REGENERATION OF PHYSALIS MINIMA LINN.

Abstract

Plant regeneration is an effective technique to produce in large quantity. Physalis minima Linn. is a shade loving medicinal plant. Development of in vitro culturing techniques are necessary for large scale production of edible fruit. The present study was carried out to evaluate the effect of different concentration of auxins and cytokinin influence the in vitro regeneration and acclimatization using leaves and nodal segments as explants. Nodal explants were more effective in regeneration than leaves. Kinetin and IAA combination showed maximum plantlet regeneration per explants. Maximum regeneration was reported in Murashige and Skoog medium with 2.0 mg/l kinetin and 0.10 mg/l IAA. Kinetin and NAA showed less response compared to other combinations of phytohormone. The effect of growth regulator on rooting was found significant at 1.5mg/l IBA in the percentage of rooting and number of roots per shoot and acclimatization completed in 45 days. To forecast the best hormone combinations and regeneration efficiency, computational modeling and digital data analysis were used in addition to traditional statistical analysis such as ANOVA and Duncan's Multiple Range Test. Kinetin concentration was found to be a significant predictor of shoot induction by regression modeling (p < 0.05).This study shows that optimization strategies for the large-scale propagation of Physalis minima are improved by combining computational tools with tissue culture experimentation.