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A 2026 dataset from figshare by Run Gao, analyzing the effects of three moisture levels (78%, 68%, 58%) and four additive treatments on the fermentation and bacterial community of alfalfa silage. The dataset likely contains measurements of pH, ammonia-nitrogen (NH3-N), lactic acid (LA), dry matter (DM) content, and relative abundances of bacterial genera like Lactobacillus and Enterococcus. The study concluded that appropriately reducing moisture content enhanced the effectiveness of additives in promoting fermentation.
Data is provided in a DOCX file format, which may not be immediately machine-readable for analysis.