ArticleFrontiers in microbiology2023
A meta-analysis to observe silage microbiome differentiated by the use of inoculant and type of raw material.
Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Role and mechanisms of moisture regulation in enhancing alfalfa silage quality.BMC plant biology · 2026Article
- Trichoderma-based fertilizer enhances quality of Elymus breviaristatus silage via microbial and metabolic modulation.Communications biology · 2026Article
- Strain-Specific Fermentation Performance of Lactic Acid Bacteria Isolated From Maize and Napier Fodder During Maize Ensiling.Environmental microbiology reports · 2026Article
- Alfalfa-Based Dehydrated Silage Pellet as a Source of Nutrients in Laying Hens: I. Effects on Animal Performance and Egg Quality.Veterinary medicine and science · 2026Article
- Metatranscriptomic insights into the effect ofFrontiers in microbiology · 2026Article
- Cultivar-Dependent Differences in Agronomic Characteristics, Nutritional Value, Fermentation Quality, and Bacteriome Profile of Whole-Plant Sorghum Silage.Microorganisms · 2025Article
- Article
- Effects of kinds of additives on fermentation quality, nutrient content, aerobic stability, and microbial community of the mixed silage of king grass and rice straw.Frontiers in microbiology · 2024Article
- Effects ofMicroorganisms · 2023Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Silage fermentation is naturally carried out by lactic acid bacteria (LAB) to mainly produce lactic acid (LA) and other organic acids as preservatives. Along with fermentation time, the growth of LAB will replace and suppress undesirable microorganisms. This meta-analysis study aimed to explore silage microbiome differentiated by LAB inoculants and type of raw materials. A total of 37 articles with 185 studies and 475 datasets were used for building up the meta-database. Data were subjected to the mixed model methodology. The parameters observed were silage quality and silage microbiome post-ensiling process. Results revealed that four bacterial genera along with
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