Application of Artificial Neural Network and Genetic Algorithm Modeling for In Vitro Regeneration of Seaweed Seedling Production.


Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2024
Historique:
medline: 10 7 2024
pubmed: 10 7 2024
entrez: 10 7 2024
Statut: ppublish

Résumé

Marine macro-algae, commonly known as "seaweed," are used in everyday commodity products worldwide for food, feed, and biostimulant for plants and animals and continue to be one of the conspicuous components of world aquaculture production. However, the application of ANN in seaweeds remains limited. Here, we described how to perform ANN-based machine learning modeling and GA-based optimization to enhance seedling production for implications on commercial farming. The critical steps from seaweed seedling explant preparation, selection of independent variables for laboratory culture, formulating experimental design, executing ANN Modelling, and implementing optimization algorithm are described.

Identifiants

pubmed: 38985265
doi: 10.1007/978-1-0716-3954-2_7
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

99-107

Informations de copyright

© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Références

Cai J, Lovatelli A, Aguilar-Manjarrez J, Cornish L, Dabbadie L, Desrochers A, Diffey S, Garrido Gamarro E, Geehan J, Hurtado A, Lucente D (2021) Seaweeds and microalgae: an overview for unlocking their potential in global aquaculture development, vol 1229. FAO
Saminathan KR, Ashok KS, Veeragurunathan V, Mantri VA (2015) Seedling production in industrially important agarophytes Gracilaria dura (Gracilariales, Rhodophyta). J Appl Phycol 27:1541–1548
doi: 10.1007/s10811-014-0450-z
Kazi M, Singh A, Grewal M, Baraiya M, Goswami S, Rathore MS, Jaiswar S, Mantri VA (2022) Comparative evaluation of bio-effectors on survival and regeneration in Gracilaria dura (Rhodophyta). J Appl Phycol 34:3127–3139
doi: 10.1007/s10811-022-02819-7
Dhanarajan G, Mandal M, Sen R (2014) A combined artificial neural network modeling–particle swarm optimization strategy for improved production of marine bacterial lipopeptide from food waste. Biochem Eng J 84:59–65
doi: 10.1016/j.bej.2014.01.002
Dhanarajan G, Rangarajan V, Bandi C, Dixit A, Das S, Ale K, Sen R (2017) Biosurfactant-biopolymer driven microbial enhanced oil recovery (MEOR) and its optimization by an ANN-GA hybrid technique. J Biotechnol 256:46–56
doi: 10.1016/j.jbiotec.2017.05.007 pubmed: 28499818
Dineshkumar R, Dhanarajan G, Dash SK, Sen R (2015) An advanced hybrid medium optimization strategy for the enhanced productivity of lutein in Chlorella minutissima. Algal Res 7:24–32
doi: 10.1016/j.algal.2014.11.010
Vignesh M, Kazi MA, Rathore MS, Kavale MG, Dineshkumar R, Mantri VA (2020) Artificial neural network modelling for seedling regeneration in Gracilaria dura (Rhodophyta) under different physiochemical conditions. Plant Cell Tissue Organ Cult 143:583–591
doi: 10.1007/s11240-020-01943-x
Mookherjee A, Dineshkumar R, Kutty NN, Agarwal T, Sen R, Mitra A, Maiti TK, Maiti MK (2018) Quorum sensing inhibitory activity of the metabolome from endophytic Kwoniella sp. PY016: characterization and hybrid model-based optimization. Appl Microbiol Biotechnol 102:7389–7406
doi: 10.1007/s00253-018-9168-1 pubmed: 29934653

Auteurs

Ramalingam Dineshkumar (R)

Division of Applied Phycology and Biotechnology, CSIR-Central Salt & Marine Chemicals Research Institute, Bhavnagar, Gujarat, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, India.

Mudassar Anisoddin Kazi (MA)

Division of Applied Phycology and Biotechnology, CSIR-Central Salt & Marine Chemicals Research Institute, Bhavnagar, Gujarat, India.

Vaibhav A Mantri (VA)

Division of Applied Phycology and Biotechnology, CSIR-Central Salt & Marine Chemicals Research Institute, Bhavnagar, Gujarat, India. vaibhav@csmcri.res.in.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, India. vaibhav@csmcri.res.in.

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