Machine learning reveals biocontrol agents shaping disease outcome in natural Arabidopsis populations
Nature
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Researchers used machine learning to analyze natural Arabidopsis plant microbiomes, identifying beneficial microbes that influence disease outcomes and could serve as biocontrol agents. This approach helps overcome challenges in selecting effective microbes for sustainable agriculture.
