Modeling and Optimizing Culture Medium Mineral Composition for in vitro Propagation of Actinidia arguta.

ABSTRACT: The design of plant tissue culture media remains a complicated task due to the interactions of many factors. The use of computer-based tools is still very scarce, although they have demonstrated great advantages when used in large dataset analysis. In this study, design of experiments (DOE) and three machine learning (ML) algorithms, artificial neural networks (ANNs), fuzzy logic, and genetic algorithms (GA), were combined to decipher the key minerals and predict the optimal combination of salts for hardy kiwi (Actinidia arguta) in vitro micropropagation. A five-factor experimental design of 33 salt treatments was defined using DOE. Later, the effect of the ionic variations generated by these five factors on three morpho-physiological growth responses - shoot number (SN), sho

SUBMITTER: Hameg R 

PROVIDER: S-EPMC7785940 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature