Artificial neural network-based model for the prediction of optimal growth and culture conditions for maximum biomass accumulation in multiple shoot cultures of Centella asiatica

Author:

Prasad Archana,Prakash Om,Mehrotra Shakti,Khan Feroz,Mathur Ajay Kumar,Mathur Archana

Funder

Department of Science and Technology , India

Council of Scientific and Industrial Research, New Delhi, India

Council of Scientific and Industrial Research (IN)- CIMAP

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Plant Science,General Medicine

Reference38 articles.

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2. Alanagh NE, Garoosi GA, Haddad R, Maleki S, Landín M, Gallego PP (2014) Design of tissue culture media for efficient Prunus rootstock micropropagation using artificial intelligence models. Plant Cell Tiss Org 117:349–359

3. Arumugam T, Ayyanar M, Pillai YJK, Sekar T (2011) Phytochemical screening and antibacterial activity of leaf and callus extracts of Centella asiatica. Bangladesh J Pharmacol 6:55–60

4. Baena-González E, Rolland F, Thevelein JM, Sheen J (2007) A central integrator of transcription networks in plant stress and energy signaling. Nature 448:938–943

5. Bhandari AK, Baunthiyal M, Bisht VK, Singh N, Negi JS (2013) A quick bud breaking response of a surface model for rapid clonal propagation in Centella asiatica (L.). Int J Biotechnol Mol Biol Res 4:93–97

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