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Optimization of Biofertilizer Formulation for Phosphorus Solubilizing by Pseudomonas fluorescens Ur21 via Response Surface Methodology

Barin, Mohsen ; Asadzadeh, Farrokh ; Hosseini, Masoumeh ; Hammer, Edith C. LU ; Vetukuri, Ramesh Raju and Vahedi, Roghayeh (2022) In Processes 10(4).
Abstract

This study aimed to analyze and quantify the effect of different ratios of vermicompost, phosphate rock, and sulfur on P solubilization and release by Pseudomonas fluorescens Ur21, and to identify optimal levels of those variables for an efficient biofertilizer. Twenty experiments were defined by surface response methodology based on a central composite design (CCD), and the effects of various quantities of vermicompost, phosphate rock, and sulfur (encoded by −1, 0, or +1) on P solubilization was explored. The results show that the CCD model had high efficiency for predicting P solubilization (R2 = 0.9035). The strongest effects of the included variables on the observed P solubilization were linear effects of sulfur and... (More)

This study aimed to analyze and quantify the effect of different ratios of vermicompost, phosphate rock, and sulfur on P solubilization and release by Pseudomonas fluorescens Ur21, and to identify optimal levels of those variables for an efficient biofertilizer. Twenty experiments were defined by surface response methodology based on a central composite design (CCD), and the effects of various quantities of vermicompost, phosphate rock, and sulfur (encoded by −1, 0, or +1) on P solubilization was explored. The results show that the CCD model had high efficiency for predicting P solubilization (R2 = 0.9035). The strongest effects of the included variables on the observed P solubilization were linear effects of sulfur and organic matter (vermicompost), a quadratic effect of phosphate rock, and an interactive effect of organic matter × phosphate rock. Statistical analysis of the coefficients in the CCD model revealed that vermicompost, vermicompost × phosphate rock, and phosphate rock × phosphate rock treatments increased P solubilization. The optimal predicted composition for maximal P solubilization by P. fluorescens Ur21 (at 1684.39 mg·kg−1, with more than 90% of the added phosphate dissolved) was 58.8% vermicompost, 35.3% phosphate rock, and 5.8% sulfur. ANOVA analysis confirmed the model’s accuracy and validity in terms of F value (10.41), p value (<0.001), and non-significant lack of fit.

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
biofertilizer, central composite design, modeling, phosphate solubilizing bacteria
in
Processes
volume
10
issue
4
article number
650
pages
12 pages
publisher
MDPI AG
external identifiers
  • scopus:85127894928
ISSN
2227-9717
DOI
10.3390/pr10040650
language
English
LU publication?
yes
id
8201c698-6c05-4c61-b32f-fa397562644b
date added to LUP
2022-06-10 09:52:26
date last changed
2024-05-16 14:35:13
@article{8201c698-6c05-4c61-b32f-fa397562644b,
  abstract     = {{<p>This study aimed to analyze and quantify the effect of different ratios of vermicompost, phosphate rock, and sulfur on P solubilization and release by Pseudomonas fluorescens Ur21, and to identify optimal levels of those variables for an efficient biofertilizer. Twenty experiments were defined by surface response methodology based on a central composite design (CCD), and the effects of various quantities of vermicompost, phosphate rock, and sulfur (encoded by −1, 0, or +1) on P solubilization was explored. The results show that the CCD model had high efficiency for predicting P solubilization (R<sup>2</sup> = 0.9035). The strongest effects of the included variables on the observed P solubilization were linear effects of sulfur and organic matter (vermicompost), a quadratic effect of phosphate rock, and an interactive effect of organic matter × phosphate rock. Statistical analysis of the coefficients in the CCD model revealed that vermicompost, vermicompost × phosphate rock, and phosphate rock × phosphate rock treatments increased P solubilization. The optimal predicted composition for maximal P solubilization by P. fluorescens Ur21 (at 1684.39 mg·kg<sup>−1</sup>, with more than 90% of the added phosphate dissolved) was 58.8% vermicompost, 35.3% phosphate rock, and 5.8% sulfur. ANOVA analysis confirmed the model’s accuracy and validity in terms of F value (10.41), p value (&lt;0.001), and non-significant lack of fit.</p>}},
  author       = {{Barin, Mohsen and Asadzadeh, Farrokh and Hosseini, Masoumeh and Hammer, Edith C. and Vetukuri, Ramesh Raju and Vahedi, Roghayeh}},
  issn         = {{2227-9717}},
  keywords     = {{biofertilizer; central composite design; modeling; phosphate solubilizing bacteria}},
  language     = {{eng}},
  number       = {{4}},
  publisher    = {{MDPI AG}},
  series       = {{Processes}},
  title        = {{Optimization of Biofertilizer Formulation for Phosphorus Solubilizing by Pseudomonas fluorescens Ur21 via Response Surface Methodology}},
  url          = {{http://dx.doi.org/10.3390/pr10040650}},
  doi          = {{10.3390/pr10040650}},
  volume       = {{10}},
  year         = {{2022}},
}