ArticleMicrobiology spectrum2026
Predicting dairy cattle PL via longitudinal rumen microbiome dynamics using machine learning approaches.
Article in Microbiology spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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15 authors.
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Abstract
Aging is a spontaneous biological process involving intricate regulatory mechanisms over time. Studies in mice and humans indicate that the gut microbiota is closely linked to the aging process and plays an important role in it. However, the relationship between the rumen microbiota and aging in dairy cows remains unclear. In this study, we characterized rumen microbial differences across different parities in 341 dairy cows using 16S rRNA amplicon sequencing and identified microbial markers associated with productive lifespan (PL) and farm profitability through machine learning analysis. Our findings reveal that as parity increases, the rumen microbiota undergoes systematic succession: alpha diversity indices significantly decrease, microbial interactions weaken, the abundance of
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