Genetic Termite Colony-Optimized Arbuscular Mycorrhizal Fungi Concentration for Glycophyte Plant Resilience to Saline Environment

Created by W.Langdon from gp-bibliography.bib Revision:1.7650

@InProceedings{Concepcion:2023:ICBIR,

• 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",
• booktitle = "2023 8th International Conference on Business and Industrial Research (ICBIR)",
• title = "Genetic Termite Colony-Optimized Arbuscular Mycorrhizal Fungi Concentration for Glycophyte Plant Resilience to Saline Environment",
• year = "2023",
• pages = "812--817",
• 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.",
• 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",
• DOI = "doi:10.1109/ICBIR57571.2023.10147624",
• month = may,
• 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