Genetic programming based models in plant tissue culture: An addendum to traditional statistical approach.

ABSTRACT: In this paper, we compared the efficacy of observation based modeling approach using a genetic algorithm with the regular statistical analysis as an alternative methodology in plant research. Preliminary experimental data on in vitro rooting was taken for this study with an aim to understand the effect of charcoal and naphthalene acetic acid (NAA) on successful rooting and also to optimize the two variables for maximum result. Observation-based modelling, as well as traditional approach, could identify NAA as a critical factor in rooting of the plantlets under the experimental conditions employed. Symbolic regression analysis using the software deployed here optimised the treatments studied and was successful in identifying the complex non-linear interaction among the variables, with minim

SUBMITTER: Mridula MR 

PROVIDER: S-EPMC5828343 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature