Novel lactic acid bacteria strains enhance the conservation of elephant grass silage cv. BRS Capiaçu.
Abstract
Abstract Elephant grass ensilage might result in high dry matter (DM) loss and a reduction in feed quality. Knowledge of microbiota and the use of specific microbial inoculants can reduce DM losses and result in better fermentations and final products. The aim of the study was to characterise lactic acid bacteria (LAB) from elephant grass silages and subsequently select the promising strains to be used as microbial inoculants. Eighty-six LAB strains isolated from silages (7 from corn, 14 from sugarcane and 65 from elephant grass silages) were characterised and evaluated. Thirteen strains that showed the highest growth, pH reduction, production of interest metabolites and the ability to inhibit undesirable microorganisms and the strain L. hilgardii CCMA 0170 were evaluated in experimental silos. The aerobic stability, fermentative profile and microbial population of elephant grass silages of BRS Capiacu cultivar were evaluated after 60 days of storage. No LAB was found in elephant grass before ensiling. The elephant grass silage fermentation was characterised by the succession of Lactobacillus sakei, L. plantarum group, Pediococcus pentosaceus and L. brevis. The silages inoculated with CCMA 0170 (L. hilgardii) CCMA 1394 and CCMA 1402 (L. plantarum), CCMA 1409 (L. brevis), CCMA 1363 and CCMA 1364 (L. farraginis) showed the smallest DM loss (mean of 38 g/kg of ensiled vs. 123 g/kg in control silage) and high aerobic stability (mean of 33.1 h vs. 21.2 h in control silage). Among the tested strains, the CCMA 1364 strain stands out as resulting in silages with low yeast populations, undetectable levels of butyric acid and high aerobic stability. Our results highlight the importance of the research and evaluation of new strains adapted to the fermentative process of each forage.
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The importance of local research and evaluation of new strains adapted to the fermentative process of local forages was recently highlighted.
“Then, the importance of local research and evaluation of new strains adapted to the fermentative process of local forages was recently highlighted (Amaral et al., 2020).”
From Potential of Lactic Acid Bacteria Isolated From Different Forages as Silage Inoculants for Improving Fermentation Quality and Aerobic Stability (2020) · cites this paper as Amaral et al., 2020
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- Authors
- Amaral, R. C., Carvalho, B. F., Costa, D. M., Morenz, M. J. F., Schwan, R. F., & Ávila, C. L. D. S.
- Affiliations
- Universidade Federal de Lavras (BR)
- Embrapa Gado de Leite (BR)
- Corresponding author
- Ávila, Carla Luiza da Silva
- ORCID
- Venue
- Animal Feed Science and Technology
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 264
- Pages
- 114472
- ISSN
- 0377-8401 (ISSN-L)
- OpenAlex
- W3009138160
- Semantic Scholar
- 6e3a30fc0e00e6c262b50731b8f3441a7a9c57ae
- Cited by
- 46
- References
- 38
- Citations by year
- 2026: 2 · 2025: 14 · 2024: 4 · 2023: 9 · 2022: 8 · 2021: 5 · 2020: 4
- FWCI
- 8.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Animal Feed Science and Technology (publishedVersion)
- Funders
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Topics
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Ruminant Nutrition and Digestive Physiology
- Life Sciences › Agricultural and Biological Sciences › Food Science › Probiotics and Fermented Foods
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Nutrition and Physiology
- Keywords
- lactic acid bacteria, elephant grass silage, BRS Capiaçu, microbial inoculants, silage fermentation, aerobic stability, dry matter loss, Lactobacillus hilgardii, Lactobacillus plantarum, Lactobacillus brevis, silage microbiota, yeast inhibition, butyrate, forage preservation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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