DOI: 10.11118/978-80-7701-093-1-0166
DATABASE FOR SILAGE ADDITIVES SELECTION
- Louèka, R.1, Homolka, P.1, Janèík, F.1, Koukolová, V.1, Kubelková, P.1
- 1 Research Institute of Animal Science, Pøátelství 815, 104 00 Prague-Uhøínìves, Czech Republic
Selection of optimal silage additives is critical for conservation quality. With 144 products on the Czech market, VÚ®V has maintained additive records since 1989 and developed an AI-assisted decision support system. The 2026 database includes 81 biological (56.3%), 55 chemical (38.2%), and 8 combined additives (5.5%), a net reduction of 8 products vs. 2025. Biological additives divide into homofermentative (34 products, 42.0%), heterofermentative (7, 8.6%), and combined (40, 49.4%). Multi-strain formulations dominate (49.4% contain ≥ 3 cultures; max. 6 strains) and 20% include enzymes (xylanase up to 716,810 nkat/g). Chemical additives are led by propionic acid (58%) and formic acid (47%); only 27% declare precise composition and 5% reach active ingredient concentrations >90%. The web application Selection of Silage Additives (www.vuzv.cz) provides AI-based personalised recommendations, application guidance, and ROI quantification via an Economic Efficiency Calculator. The database is updated within project AISilageFeeding (NAZV QL26010434).
Klíèová slova: lactic acid bacteria, decision support system, artificial intelligence, economic efficiency
stránky: 166-167, Publikováno: 2026, online: 2026
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