The Patent Landscape of Lactic Acid Bacteria for Animal Feed and Silage, 2016–2025: Named Taxa, Disclosed Traits and a Thin Silage-Specific Core

Lactic acid bacteria (LAB) drive silage fermentation, yet the technology space recorded in the patent literature remains unmapped. This review analyses 1585 patent documents on LAB for animal feed and silage, retrieved from INCOPAT for 2016–2025 through IPC classes A23K and C12N and the keywords “lactic acid bacteria” and “silage OR feed OR ensiling”, to characterise which taxa are named and which traits are disclosed. Output averaged 141.8, rising from 97 (2016) to 194 (2022); the 2024–2025 fall reflects publication lag. China accounted for 55.7%, but only 16.0% listed two or more co-applicants. Only 139 documents (8.8% of the corpus), even among the 1105 that name silage or feed terms, name silage or ensiling; that record is thin and analysed separately. A total of 1116 documents (70.4%) fell into eight genera, with Lactobacillus sensu lato dominating (n = 689) and Streptococcus (103) and Bifidobacterium (85) following, while only 23 (1.5%) used a genus name introduced by the 2020 reclassification. Technology classes concentrated in A23K (56.8%) and C12N (42.3%). The most cited documents concern strain preservation, phage resistance, and probiotic function rather than silage-specific traits; innovation is broad but skewed towards preservation and delivery, with no filing detected for raw-material adaptation, inter-strain interaction, or biofilm-based colonisation.

Authors

Institutions

Publication Details

Journal
Microorganisms
Published
2026-11-06
DOI
https://doi.org/10.3390/microorganisms14112557
Primary Topic
Intellectual Property and Patents
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

The Patent Landscape of Lactic Acid Bacteria for Animal Feed and Silage, 2016–2025: Named Taxa, Disclosed Traits and a Thin Silage-Specific Core

Yu Zeng, Rudan ZHENG, Jin Wang, Zhen Wang et al.
Microorganisms
Intellectual Property and Patents
article

The Patent Landscape of Lactic Acid Bacteria for Animal Feed and Silage, 2016–2025: Named Taxa, Disclosed Traits and a Thin Silage-Specific Core

Yu Zeng, Rudan ZHENG, Jin Wang, Zhen Wang, Zhuolyu He
article en

Abstract

Lactic acid bacteria (LAB) drive silage fermentation, yet the technology space recorded in the patent literature remains unmapped. This review analyses 1585 patent documents on LAB for animal feed and silage, retrieved from INCOPAT for 2016–2025 through IPC classes A23K and C12N and the keywords “lactic acid bacteria” and “silage OR feed OR ensiling”, to characterise which taxa are named and which traits are disclosed. Output averaged 141.8, rising from 97 (2016) to 194 (2022); the 2024–2025 fall reflects publication lag. China accounted for 55.7%, but only 16.0% listed two or more co-applicants. Only 139 documents (8.8% of the corpus), even among the 1105 that name silage or feed terms, name silage or ensiling; that record is thin and analysed separately. A total of 1116 documents (70.4%) fell into eight genera, with Lactobacillus sensu lato dominating (n = 689) and Streptococcus (103) and Bifidobacterium (85) following, while only 23 (1.5%) used a genus name introduced by the 2020 reclassification. Technology classes concentrated in A23K (56.8%) and C12N (42.3%). The most cited documents concern strain preservation, phage resistance, and probiotic function rather than silage-specific traits; innovation is broad but skewed towards preservation and delivery, with no filing detected for raw-material adaptation, inter-strain interaction, or biofilm-based colonisation.

MicroorganismsVol. 14(11)
Southwest University of Science and Technology (CN), Southwest Jiaotong University Hope College (CN)
Southwest University of Science and Technology
Openalex Percentile: Top 11%
Intellectual Property and Patents
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon