ArticleHeliyon2022
Optimization of soluble phosphate and IAA production using response surface methodology and ANN approach.
Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed, 18 citations in OpenAlex.
- Mechanisms and Research Progress of Phosphate-Solubilizing Microorganisms in Promoting Sustainable Crop Production.Microorganisms · 2026Review
- Machine learning and mathematical modeling for comparative analysis of green-synthesized ZnO nanoparticles as seed nano-priming agents for linseed.Frontiers in plant science · 2026Article
- Machine learning-led semi-automated medium optimization reveals salt as key for flaviolin production in Pseudomonas putida.Communications biology · 2025Article
- The Rhizospheric Alkali-Halotolerant Bacillus sp. KhSb-159 Enhanced Growth Parameters of the Mung Bean Crop.Current microbiology · 2025Article
- Phosphate-solubilizing fungus (PSF) - mediated phosphorous solubilization and validation through Artificial intelligence computation.World journal of microbiology & biotechnology · 2024Article
- Mineral Solubilizing Rhizobacterial Strains Mediated Biostimulation of Rhodes Grass Seedlings.Microorganisms · 2023Article
- Mechanism of lead adsorption by a Bacillus cereus strain with indole-3-acetic acid secretion and inorganic phosphorus dissolution functions.BMC microbiology · 2023Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Phosphorus (P) is often found inaccessible to plants, as it forms precipitates with cations and can be converted to accessible forms by using Phosphate solubilizing bacteria (PSB). In the present study, isolation and characterization of PSB from rhizospheric soil of coffee plants were performed. The influence of four independent variables (incubation temperature, incubation time, pH, and inoculum size) was investigated and optimized using an artificial neural network and response surface methodology on the solubility of phosphate and indole acetic acid production. The bacterium that can dissolve phosphate were isolated in Pikovskaya's agar containing insoluble tricalcium phosphate. Total, six Phosphate Solubilizing Bacteria were isolated and three of them (PSB1, PSB3, and PSB4) were found to be effectively solubilizing phosphate. Based on phosphate solubilizing index results
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Registered trials
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