2020
DOI: 10.1371/journal.pone.0243940
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High throughput mathematical modeling and multi-objective evolutionary algorithms for plant tissue culture media formulation: Case study of pear rootstocks

Abstract: Simplified prediction of the interactions of plant tissue culture media components is of critical importance to efficient development and optimization of new media. We applied two algorithms, gene expression programming (GEP) and M5’ model tree, to predict the effects of media components on in vitro proliferation rate (PR), shoot length (SL), shoot tip necrosis (STN), vitrification (Vitri) and quality index (QI) in pear rootstocks (Pyrodwarf and OHF 69). In order to optimize the selected prediction models, as … Show more

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Cited by 10 publications
(20 citation statements)
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References 86 publications
(148 reference statements)
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“…Machine learning as a powerful tool has been effectively applied in plant biology studies [ 42 , 43 ] including plant tissue culture data analysis and accurate prediction of optimal in vitro culture media composition [ 20 , 24 28 ]. The development of in vitro plant tissues is controlled by minerals, vitamins and PGRs in the culture media.…”
Section: Discussionmentioning
confidence: 99%
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“…Machine learning as a powerful tool has been effectively applied in plant biology studies [ 42 , 43 ] including plant tissue culture data analysis and accurate prediction of optimal in vitro culture media composition [ 20 , 24 28 ]. The development of in vitro plant tissues is controlled by minerals, vitamins and PGRs in the culture media.…”
Section: Discussionmentioning
confidence: 99%
“…RBFNN and GEP exhibited higher performance precision towards the MLR, and the GEP resulted in the most precise model as well as being practical [ 20 ]. In our recent research [ 28 ], we used two algorithms, GEP and M5’ model tree to overcome the ANN method weaknesses and simplify forecast of the media components interactions on in vitro proliferation of Pyrus rootstocks. Again, we found GEP as a more accurate technique than M5’ model tree [ 28 ].…”
Section: Discussionmentioning
confidence: 99%
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