Evidence map›Paper›PMID 41922943›Full record

ArticleBMC microbiology2026

Fermentation quality and microbial communities of mixed silage from Pennisetum glaucum × purpureum and Rosa roxburghii residue.

Pang Kaiyue, Feng Yanlong, Du Jiahua, Wu Jiahai, Zeng Bing

Abstract read
In one paragraph

Article in BMC microbiology, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Pang KaiyueCollege of Animal Science and Technology, Southwest University, Chongqing, China.
Feng YanlongCollege of Animal Science and Technology, Southwest University, Chongqing, China.
Du JiahuaCollege of Animal Science and Technology, Southwest University, Chongqing, China.
Wu JiahaiGuizhou Academy of Agricultural Sciences, Guiyang, Guizhou, China. 1848266168@qq.com.
Zeng BingCollege of Animal Science and Technology, Southwest University, Chongqing, China. 402947324@qq.com.

Funding

Guizhou Provincial Department of Science and Technology Funded Project Qiankehe Zhongyindi [2026] No. 011
6 · The paper itself

Abstract

This study investigates the mechanism by which varying mixing ratios of Pennisetum glaucum × purpureum and Rosa roxburghii residue influence the overall quality of silage feed. A completely randomized design with three replicates per treatment was used. By establishing mixed fermentation ratios of Pennisetum glaucum × purpureum and Rosa roxburghii residue at 0:100 (R), 20:80 (P20), 40:60 (P40), 60:40 (R40), 80:20 (R20), and 100:0 (P), the study systematically measured the nutritional components, fermentation quality, Cornell Net Carbohydrate and Protein System (CNCPS) protein fractions, and microbial community structure of the mixed fermented products. Analysis was conducted using Kyoto Encyclopedia of Genes and Genomes (KEGG) functional prediction and correlation networks. The results indicate that at mixing ratios of 60:40 (R40) or 80:20 (R20), silage quality was optimal: the content of starch in the feed significantly increased, fiber content decreased, lactic acid levels markedly rose to 1.35-1.67 g/kg DM, and pH dropped to 3.60-3.63, while both ammonium nitrogen (AN) and butyric acid levels remained low. The analysis of CNCPS protein fractions revealed a high retention of true protein, accompanied by a notable decrease in the proportion of nonprotein nitrogen (NPN). Microbial community analysis showed that these optimal mixing ratios were associated with higher relative abundances of beneficial lactic acid bacteria (Levilactobacillus and Lactiplantibacillus) and lower abundances of potentially harmful bacteria (Enterobacter). Functional predictions further indicated that these microbial shifts correlated with enhanced metabolic pathways, including carbohydrate metabolism. In summary, mixing Pennisetum glaucum × purpureum and Rosa roxburghii residues at 60:40 or 80:20 ratios are associated with improved substrate composition and microbial ecology. This approach not only enhances the nutritional value and fermentation stability but also improves the preservation efficiency of silage protein, thereby providing a viable technical solution and theoretical foundation for the utilization of agricultural byproducts and the production of high-quality silage.

Indexed as

BacteriaFermentationMicrobiotaPennisetumRosaSilageFermentation qualityMicrobial communitiesMixed fermentationPennisetum glaucum × purpureumRosa roxburghii residues

Identifiers

PMID41922943
PMCPMC13312618

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.