Genetic Termite Colony-Optimized Arbuscular Mycorrhizal Fungi Concentration for Glycophyte Plant Resilience to Saline Environment
Created by W.Langdon from
gp-bibliography.bib Revision:1.8178
- @InProceedings{Concepcion:2023:ICBIR,
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author = "Ronnie {Concepcion II} and Adrian Genevie Janairo and
Raneiel Angelo Martinez and R-Jay Relano and
Marielet Guillermo and Argel Bandala and Ryan Rhay Vicerra",
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booktitle = "2023 8th International Conference on Business and
Industrial Research (ICBIR)",
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title = "Genetic Termite Colony-Optimized Arbuscular
Mycorrhizal Fungi Concentration for Glycophyte Plant
Resilience to Saline Environment",
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year = "2023",
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pages = "812--817",
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abstract = "Saline environments, such as coastal and agricultural
areas with excessive fertigation that remained
uncultivated, impede glycophyte growth. However,
arbuscular mycorrhizal fungi (AMF) can help regulate
plant water balance, but its overpopulation exhibits
competition with roots. To address this challenge, this
study developed three hybrid evolutionary and
bio-inspired optimisation models namely, genetic
termite colony (GTC), genetic bacterial foraging, and
genetic sperm swarm in determining the optimum
concentration of Glomus spp. AMF inoculant to induce
papaya var. Sinta F1 plant growth in terms of root and
stem lengths, stem thickness, leaf count, and total
leaf chlorophyll when exposed to a saline environment
after 15 and 30 days of sowing. Four treatments were
performed: control, and mycorrhizal with 5, 10, and 15
mg/L concentrations. Salinity was maintained at 6 dS/m
using NaCl solution. Variance-based Factor Analysis
confirmed stem length $(L_{s})$ as the most significant
phenotype with highest communality. A 4-gene Genetic
Programming model was formulated for $L_{s}$ fitness
function. With most acceptable results, GTC recommended
11.149 mg/L which resulted in 1937.5percent,
388.43percent, 650percent, 480percent, and
238.889percent improvement in root and stem lengths,
stem thickness, leaf count, and total leaf chlorophyll
respectively, than the non-mycorrhizal plant. This
established protocol increased glycophyte resistance to
high salinity.",
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keywords = "genetic algorithms, genetic programming, Fungi,
Reactive power, Protocols, Salinity (geophysical),
Plants (biology), Sea measurements, abiotic stress,
bio-inspired optimisation, digital agriculture,
evolutionary computing, mycorrhizal fungi",
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DOI = "doi:10.1109/ICBIR57571.2023.10147624",
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month = may,
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notes = "Also known as \cite{10147624}",
- }
Genetic Programming entries for
Ronnie S Concepcion II
Adrian Genevie Galema Janairo
Raneiel Angelo Martinez
R-Jay Relano
Marielet Guillermo
Argel A Bandala
Ryan Rhay P Vicerra
Citations