Root microbiome dynamics in rice cultivated using fertilized and non-fertilized soil (IMAGE)
Caption
Coordinate plots of the root microbiome data revealed two major clusters, clearly separating samples based on whether they were from fertilized or non-fertilized fields (A). A machine learning model using the “Random forest” method was developed to classify these samples according to fertilization status (B). The model showed the highest accuracy when using samples obtained between 13 and 19 weeks after germination—a period when the root microbiome appears to be most stably built, depending on fertilization status (C).
Credit
Assistant Professor John Jewish Dominguez from Nara Institute of Science and Technology, Japan
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