Microbial Diversity Indices Predicting Disease Suppression Potential in Agricultural Soils
This study develops predictive ecological models linking alpha and beta diversity metrics of root microbiota to disease suppression capacity using machine learning and network analysis. The outcomes provide quantitative frameworks for assessing soil suppressiveness and designing biodiverse microbiome interventions.
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