The effect of oxygen concentration on changes in the microbial population, temperature and dry matter content in grass silage
Abstract
The effects of transfusing cores of grass silage with mixtures of oxygen and nitrogen containing 0%, 0·2%, 2%, 5% and 20% oxygen were investigated. Changes in populations of yeasts, lactobacilli and streptococci were measured and the relationship between populations after 7 days' transfusion and oxygen concentration were tested against the predictions of two models, based on Monod and logistic growth functions. Yeasts were related to oxygen by the Monod model, while lactobacilli and streptococci were related by the logistic model. The differences were ascribed to yeasts initiating deterioration by growing aerobically, while lactobacilli and streptococci grew fermentatively once the environment had changed following yeast growth. Dry‐matter losses were related to oxygen by the Monod model. Changes in temperature were related to dry matter loss (through measurements of CO 2 evolution) using a simple heat balance model.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
An increase in temperature is a convenient indicator of the extent and intensity of aerobic deterioration in both experimental and practical conditions.
“Because the oxidation process is accompanied by the evolution of heat, an increase in temperature is a convenient indicator of the extent and intensity of aerobic deterioration in both experimental and practical conditions (Honig and Woolford, 1980; Williams et al., 1994)”
From Silage review: Factors affecting dry matter and quality losses in silages (2018) · cites this paper as Williams et al., 1994
Cites
The detrimental effects of air on silage
Woolford, M. K. (1990) · Journal of Applied Bacteriology · doi:10.1111/j.1365-2672.1990.tb02554.x · Cited by 392 · see citing works
Rees, D. V. H. (1982) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.2740330602 · Cited by 21 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Silage review: Factors affecting dry matter and quality losses in silages
Borreani, G., Tabacco, E., Schmidt, R. J., Holmes, B. J., & Muck, R. E. (2018) · Journal of Dairy Science · doi:10.3168/jds.2017-13837 · Cited by 802 · see citing works
- Authors
- WILLIAMS, A. G., LOWE, J. F., & REES, D. V. H.
- Affiliations
- Silsoe Research Institute (GB)
- Scottish Agricultural College (GB)
- Corresponding author
- WILLIAMS, A. G.
- ORCID
- WILLIAMS, A. G.
- Venue
- Grass and Forage Science
- Publisher
- Wiley
- Published
- 1994-06
- Volume
- 49
- Issue
- 2
- Pages
- 183-191
- ISSN
- 0142-5242 (ISSN-L)
- 1365-2494
- OpenAlex
- W1968670661
- Cited by
- 7
- References
- 2
- Citations by year
- 2024: 1 · 2019: 2 · 2018: 1
- FWCI
- 1.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Grass and Forage Science (publishedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Ruminant Nutrition and Digestive Physiology
- Physical Sciences › Engineering › Building and Construction › Anaerobic Digestion and Biogas Production
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Mycotoxins in Agriculture and Food
- Keywords
- grass silage, oxygen concentration, yeast growth, lactobacilli, Streptococcus, Monod kinetics, logistic growth model, dry matter loss, silage temperature, CO2 evolution, heat balance model
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 ›
Are you an author, or do you see a problem with this page? Request a review
