A simple method for the analysis of particle sizes of forage and total mixed rations
Open accessAbstract
A simple separator was developed to determine the particle sizes of forage and TMR that allows for easy separation of wet forage into three fractions and also allows plotting of the particle size distribution. The device was designed to mimic the laboratory-scale separator for forage particle sizes that was specified by Standard S424 of the American Society of Agricultural Engineers. A comparison of results using the standard device and the newly developed separator indicated no difference in ability to predict fractions of particles with maximum length of less than 8 and 19 mm. The separator requires a small quantity of sample (1.4 L) and is manually operated. The materials on the screens and bottom pan were weighed to obtain the cumulative percentage of sample that was undersize for the two fractions. The results were then plotted using the Weibull distribution, which proved to be the best fit for the data. Convenience samples of haycrop silage, corn silage, and TMR from farms in the northeastern US were analyzed using the forage and TMR separator, and the range of observed values are given.
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Due to its ease of use on-farm, the Penn State Forage and TMR Particle Separator (PSPS) is the most frequently used particle separation technique in the dairy industry.
“Due to its ease of use on-farm, the Penn State Forage and TMR Particle Separator (PSPS; Lammers et al., 1996) is the most frequently used particle separation technique in the dairy industry.”
From Silage review: Recent advances and future technologies for whole-plant and fractionated corn silage harvesting (2018) · cites this paper as Lammers et al., 1996
The Abstract describes the forage and TMR separator, and the Conclusions (page unavailable) say it is easy to operate and can be used directly on farms. Our copy does not establish that it is the most frequently used technique in the dairy industry or that ease of use explains its prevalence. (LLM, conf=0.86)
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Influence of Particle Size on the Effectiveness of the Fiber in Barley Silage
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Effect of exogenous amylase on lactation performance of dairy cows fed a high-starch diet
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Effects of Increasing Dietary Protein on Nutrient Utilization in Heifers
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Peripartum Responses of Dairy Cows Fed Energy-Dense Diets for 3 or 6 Weeks Prepartum
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- Authors
- Lammers, B. P., Buckmaster, D. R., & Heinrichs, A. J.
- Affiliations
- Pennsylvania State University (US)
- Venue
- Journal of Dairy Science
- Publisher
- American Dairy Science Association
- Published
- 1996-05
- Volume
- 79
- Issue
- 5
- Pages
- 922-928
- ISSN
- 0022-0302 (ISSN-L)
- OpenAlex
- W2152106564
- Semantic Scholar
- 8547f98d71e38038e218a05ccc67cd253dfed83c
- Cited by
- 582
- References
- 17
- Citations by year
- 2026: 19 · 2025: 14 · 2024: 15 · 2023: 18 · 2022: 24 · 2021: 43 · 2020: 27 · 2019: 28 · 2018: 30 · 2017: 31 · 2016: 22 · 2015: 23 · 2014: 31 · 2013: 24 · 2012: 28
- FWCI
- 7.45
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Dairy Science (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Agricultural Engineering and Mechanization
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Ruminant Nutrition and Digestive Physiology
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Nutrition and Physiology
- Keywords
- forage particle size, total mixed ration, particle size distribution, Weibull distribution, corn silage, dairy cattle nutrition, particle size fractions
- MeSH terms
- Animals, Animal Feed, Cattle, Zea mays, Dairying, Female, Particle Size, Silage
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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