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Multi-Omics Integration for Predictive Modeling of PGPR Efficacy in Crop Systems

Agricultural Microbiology
Plant Growth-Promoting Rhizobacteria Research
Multi-Omics Integration for Predictive Modeling of PGPR Efficacy in Crop Systems
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Agricultural MicrobiologyPlant Growth-Promoting Rhizobacteria Research

Multi-Omics Integration for Predictive Modeling of PGPR Efficacy in Crop Systems

This advanced research integrates genomics, proteomics, metabolomics, and phenotypic data to develop predictive models linking PGPR strain characteristics to crop productivity outcomes. The resulting frameworks enable precision selection of superior inoculants for specific agronomic and environmental contexts.

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