E-monitoring of in vitro culture parameters for prediction of maximal biomass yields
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ORIGINAL ARTICLE
E-monitoring of in vitro culture parameters for prediction of maximal biomass yields Biljana Petković 1 & Dalibor Petkovic 2 & Boris Kuzman 3 & Drazen Jovanovic 1 Received: 23 June 2020 / Revised: 19 August 2020 / Accepted: 26 August 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract An e-monitoring system was established and modeled by object-oriented methodology for prediction of the maximal biomass yields based on in vitro culture parameters. The system calculates the maximal biomass yields through neuro-fuzzy or adaptive neuro-fuzzy inference system (ANFIS) methodology. The final biomass fresh weight was considered as a function of culture parameters. ANFIS models were created for the prediction of the maximal biomass yields. According to the prediction accuracy of the models, the inputs’ influence was determined on the biomass fresh weight. It was determined that the pH of growth medium has the highest impact on the biomass fresh weight (RMSE = 0.8302) while the medium culture vessel has the smallest influence on the biomass fresh weight (RMSE = 0.9556). The designed e-monitoring system could have the potential for practical applications. Keywords In vitro culture . ANFIS . Biomass . Fresh weight . Information system
1 Introduction Hairy root cultures could be considered as an alternative source of plant according to the secondary metabolites. However, one of the main problems for the production of the secondary metabolite is the estimation of variables of culture development which is responsible for the biomass yield. It is known that for tissues and plants showing nonlinear developmental patterns, system modeling is required, which could investigate the growth characteristics of in vitro cultures. Also, the effects of culture conditions could be determined in order to optimize growth and to have the best productivity. Also, certain physical and chemical parameters could be measured in order to investigate their impact on the growth and productivity of hairy roots. In order to estimate the
* Dalibor Petkovic [email protected] 1
Faculty of Finance, Banking and Auditing, Alfa BK University, Belgrade, Serbia
2
Pedagogical Faculty in Vranje, University of Niš, Partizanska 14, Vranje 17500, Serbia
3
Institute of Agricultural Economics, Belgrade, Serbia
effects of the parameters, there are large resources which has not efficient. Khan et al. [9] studied the effects of different carbohydrate sources on biomass and secondary metabolism of Fagonia indica callus cultures where results showed that disaccharides, especially sucrose, are favorable for biomass accumulation when applied in higher concentration. Maximum biomass was recorded in callus cultures raised in vitro in 5% sucrose. A negative correlation existed between biomass increase and andrographolide accumulation, indicating the metabolite flux was either directed towards primary metabolism and biomass accumulation, or towards secondary metabolism and andrographolide production [1]. Trong et al. [25] evaluate
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